1
|
Zheng JS, Steur M, Imamura F, Freisling H, Johnson L, van der Schouw YT, Tong TY, Weiderpass E, Bajracharya R, Crous-Bou M, Dahm CC, Heath AK, Ibsen DB, Jannasch F, Katzke V, Masala G, Moreno-Iribas C, Sacerdote C, Schulze MB, Sieri S, Wareham NJ, Danesh J, Butterworth AS, Forouhi NG. Dietary intake of plant- and animal-derived protein and incident cardiovascular diseases: the pan-European EPIC-CVD case-cohort study. Am J Clin Nutr 2024; 119:1164-1174. [PMID: 38479550 DOI: 10.1016/j.ajcnut.2024.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 02/15/2024] [Accepted: 03/07/2024] [Indexed: 03/28/2024] Open
Abstract
BACKGROUND Epidemiological evidence suggests that a potential association between dietary protein intake and cardiovascular disease (CVD) may depend on the protein source, that is, plant- or animal-derived, but past research was limited and inconclusive. OBJECTIVES To evaluate the association of dietary plant- or animal-derived protein consumption with risk of CVD, and its components ischemic heart disease (IHD) and stroke. METHODS This analysis in the European Prospective Investigation into Cancer and Nutrition (EPIC)-CVD case-cohort study included 16,244 incident CVD cases (10,784 IHD and 6423 stroke cases) and 15,141 subcohort members from 7 European countries. We investigated the association of estimated dietary protein intake with CVD, IHD, and stroke (total, fatal, and nonfatal) using multivariable-adjusted Prentice-weighted Cox regression. We estimated isocaloric substitutions of replacing fats and carbohydrates with plant- or animal-derived protein and replacing food-specific animal protein with plant protein. Multiplicative interactions between dietary protein and prespecified variables were tested. RESULTS Neither plant- nor animal-derived protein intake was associated with incident CVD, IHD, or stroke in adjusted analyses without or with macronutrient-specified substitution analyses. Higher plant-derived protein intake was associated with 22% lower total stroke incidence among never smokers [HR 0.78, 95% confidence intervals (CI): 0.62, 0.99], but not among current smokers (HR 1.08, 95% CI: 0.83, 1.40, P-interaction = 0.004). Moreover, higher plant-derived protein (per 3% total energy) when replacing red meat protein (HR 0.52, 95% CI: 0.31, 0.88), processed meat protein (HR 0.39, 95% CI: 0.17, 0.90), and dairy protein (HR 0.54, 95% CI: 0.30, 0.98) was associated with lower incidence of fatal stroke. CONCLUSION Plant- or animal-derived protein intake was not associated with overall CVD. However, the association of plant-derived protein consumption with lower total stroke incidence among nonsmokers, and with lower incidence of fatal stroke highlights the importance of investigating CVD subtypes and potential interactions. These observations warrant further investigation in diverse populations with varying macronutrient intakes and dietary patterns.
Collapse
Affiliation(s)
- Ju-Sheng Zheng
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom; School of Life Sciences, Westlake University, Hangzhou, China.
| | - Marinka Steur
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom; Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Laura Johnson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Tammy Yn Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | | | - Rashmita Bajracharya
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Marta Crous-Bou
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO) - Bellvitge Biomedical Research Institute (IDIBELL). L'Hospitalet de Llobregat, Barcelona, Spain; Department of Epidemiology, Harvard T.H. Chan School of Public Health. Boston, MA, United States
| | | | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Daniel B Ibsen
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom; Department of Public Health, Aarhus University, Aarhus, Denmark; Steno Diabetes Center Aarhus, Aarhus, Denmark; Department of Nutrition, Sports and Exercise, University of Copenhagen, Copenhagen, Denmark
| | - Franziska Jannasch
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Conchi Moreno-Iribas
- Instituto de Salud Pública y Laboral de Navarra, Pamplona, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano Via Venezian, Milan, Italy
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, United Kingdom; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, United Kingdom; National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, United Kingdom; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom; Department of Human Genetics, The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, United Kingdom; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, United Kingdom; National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, United Kingdom; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
| |
Collapse
|
2
|
Vogtschmidt YD, Soedamah-Muthu SS, Imamura F, Givens DI, Lovegrove JA. Replacement of Saturated Fatty Acids from Meat by Dairy Sources in Relation to Incident Cardiovascular Disease: The European Prospective Investigation into Cancer and Nutrition (EPIC)-Norfolk Study. Am J Clin Nutr 2024:S0002-9165(24)00397-6. [PMID: 38608753 DOI: 10.1016/j.ajcnut.2024.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 04/03/2024] [Accepted: 04/09/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Prospective observational data revealed lower cardiovascular disease (CVD) incidence with modeled replacement of saturated fatty acids (SFA) from total meat by total dairy, but it is unknown what the associations are of replacing SFA from types of meat by types of dairy with CVD incidence. OBJECTIVES This study aimed to investigate the associations of replacing SFA from total, red, processed, and poultry meat by SFA from total dairy, milk, cheese, and yogurt with the incidence of CVD. METHODS We analyzed longitudinal data from 21,841 participants of the European Prospective Investigation into Cancer and Nutrition-Norfolk study (56.4% female; age, 40-79 years). Dietary data were collected by food frequency questionnaires at baseline (1993-1997). Incident fatal or nonfatal CVD (n = 5902), coronary artery disease (CAD; n = 4215), stroke (total: n = 2544; ischemic: n = 1113; hemorrhagic: n = 449) were identified up to 2018. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated using Cox regression for the risk associated with replacement of 2.5% of energy from SFA from meat by dairy, adjusted for sociodemographic, lifestyle, energy, dietary, and cardiometabolic factors. RESULTS Replacing SFA from total meat by total dairy was associated with a lower CVD incidence (HR: 0.89; 95% CI: 0.82, 0.96) and CAD (HR: 0.88; 95% CI: 0.80, 0.96). Replacing SFA from processed meat by cheese was associated with lower CVD (HR: 0.77; 95% CI: 0.68, 0.88); CAD (HR: 0.77; 95% CI: 0.66, 0.90), and stroke (HR: 0.81; 95% CI: 0.67, 0.99). Similarly, replacing SFA from red meat by cheese was associated with lower CVD (HR: 0.86; 95% CI: 0.76, 0.97). Higher incidence of stroke was found with replacement of SFA from poultry by milk (HR: 2.06; 95% CI: 1.09, 3.89), yogurt (HR: 2.55; 95% CI: 1.27, 5.13), or cheese (HR: 1.96; 95% CI: 1.04, 3.70), but the CI were relatively large, owing to low, narrow range of poultry SFA intake. CONCLUSIONS Findings indicate that different SFA-rich foods at baseline have differential associations with CVD risk. If confirmed by further studies, these findings could be used to inform specific food-based dietary guidance.
Collapse
Affiliation(s)
- Yakima D Vogtschmidt
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Reading, United Kingdom; Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom; Institute for Food, Nutrition and Health, University of Reading, Reading, United Kingdom
| | - Sabita S Soedamah-Muthu
- Institute for Food, Nutrition and Health, University of Reading, Reading, United Kingdom; Center of Research on Psychological Disorders and Somatic Diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, Tilburg, Netherlands
| | - Fumiaki Imamura
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - David I Givens
- Institute for Food, Nutrition and Health, University of Reading, Reading, United Kingdom
| | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Reading, United Kingdom; Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom; Institute for Food, Nutrition and Health, University of Reading, Reading, United Kingdom.
| |
Collapse
|
3
|
Ito A, Miller C, Imamura F. Suppression of BMP signaling restores mitral cell development impaired by FGF signaling deficits in mouse olfactory bulb. Mol Cell Neurosci 2024; 128:103913. [PMID: 38056728 PMCID: PMC10939902 DOI: 10.1016/j.mcn.2023.103913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 11/17/2023] [Accepted: 11/29/2023] [Indexed: 12/08/2023] Open
Abstract
Fibroblast growth factors (FGFs) and bone morphogenic proteins (BMPs) play various important roles in the development of the central nervous system. However, the roles of FGF and BMP signaling in the development of the olfactory bulb (OB) are largely unknown. In this study, we first showed the expression of FGF receptors (FGFRs) and BMP receptors (BMPRs) in OB RGCs, radial glial cells (RGCs) in the developing OB, which generate the OB projection neurons, mitral and tufted cells. When the FGF signaling was inhibited by a dominant-negative form of FGFR1 (dnFGFR1), OB RGCs accelerated their state transition to mitral cell precursors without affecting their transcription cascade and fate. However, the mitral cell precursors could not radially migrate to form the mitral cell layer (MCL). In addition, FGF signaling inhibition reduced the expression of a BMP antagonist, Noggin, in the developing OB. When BMP signaling was suppressed by the ectopic expression of Noggin or a dominant-negative form of BMPR1a (dnBMPR1a) in the developing OB, the defect in MCL formation caused by the dnFGFR1 was rescued. However, the dnBMPR1a did not rescue the accelerated state transition of OB RGCs. These results demonstrate that FGF signaling is important for OB RGCs to maintain their self-renewal state and MCL formation. Moreover, the suppression of BMP signaling is required for mitral cells to form the MCL. This study sheds new light on the roles of FGFs and BMPs in OB development.
Collapse
Affiliation(s)
- Ayako Ito
- Department of Pharmacology, Penn State College of Medicine, 500 University Dr., Hershey, PA 17033, USA
| | - Claire Miller
- Department of Pharmacology, Penn State College of Medicine, 500 University Dr., Hershey, PA 17033, USA
| | - Fumiaki Imamura
- Department of Pharmacology, Penn State College of Medicine, 500 University Dr., Hershey, PA 17033, USA.
| |
Collapse
|
4
|
Tong TYN, Clarke R, Schmidt JA, Huybrechts I, Noor U, Forouhi NG, Imamura F, Travis RC, Weiderpass E, Aleksandrova K, Dahm CC, van der Schouw YT, Overvad K, Kyrø C, Tjønneland A, Kaaks R, Katzke V, Schiborn C, Schulze MB, Mayen-Chacon AL, Masala G, Sieri S, de Magistris MS, Tumino R, Sacerdote C, Boer JMA, Verschuren WMM, Brustad M, Nøst TH, Crous-Bou M, Petrova D, Amiano P, Huerta JM, Moreno-Iribas C, Engström G, Melander O, Johansson K, Lindvall K, Aglago EK, Heath AK, Butterworth AS, Danesh J, Key TJ. Dietary amino acids and risk of stroke subtypes: a prospective analysis of 356,000 participants in seven European countries. Eur J Nutr 2024; 63:209-220. [PMID: 37804448 PMCID: PMC10799144 DOI: 10.1007/s00394-023-03251-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 09/08/2023] [Indexed: 10/09/2023]
Abstract
PURPOSE Previously reported associations of protein-rich foods with stroke subtypes have prompted interest in the assessment of individual amino acids. We examined the associations of dietary amino acids with risks of ischaemic and haemorrhagic stroke in the EPIC study. METHODS We analysed data from 356,142 participants from seven European countries. Dietary intakes of 19 individual amino acids were assessed using validated country-specific dietary questionnaires, calibrated using additional 24-h dietary recalls. Multivariable-adjusted Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of ischaemic and haemorrhagic stroke in relation to the intake of each amino acid. The role of blood pressure as a potential mechanism was assessed in 267,642 (75%) participants. RESULTS After a median follow-up of 12.9 years, 4295 participants had an ischaemic stroke and 1375 participants had a haemorrhagic stroke. After correction for multiple testing, a higher intake of proline (as a percent of total protein) was associated with a 12% lower risk of ischaemic stroke (HR per 1 SD higher intake 0.88; 95% CI 0.82, 0.94). The association persisted after mutual adjustment for all other amino acids, systolic and diastolic blood pressure. The inverse associations of isoleucine, leucine, valine, phenylalanine, threonine, tryptophan, glutamic acid, serine and tyrosine with ischaemic stroke were each attenuated with adjustment for proline intake. For haemorrhagic stroke, no statistically significant associations were observed in the continuous analyses after correcting for multiple testing. CONCLUSION Higher proline intake may be associated with a lower risk of ischaemic stroke, independent of other dietary amino acids and blood pressure.
Collapse
Affiliation(s)
- Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK.
| | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
- Departments of Clinical Epidemiology, Clinical Medicine, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | - Inge Huybrechts
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), World Health Organization (WHO), Lyon, France
| | - Urwah Noor
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Elisabete Weiderpass
- International Agency for Research on Cancer (IARC), World Health Organization (WHO), Lyon, France
| | - Krasimira Aleksandrova
- Department Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany
- Faculty of Human and Health Sciences, University of Bremen, Grazer Straße 2, 28359, Bremen, Germany
| | | | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Cecilie Kyrø
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | | | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Catarina Schiborn
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute for Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Ana-Lucia Mayen-Chacon
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), World Health Organization (WHO), Lyon, France
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Milan, Italy
| | | | - Rosario Tumino
- Hyblean Association for Epidemiological Research AIRE-ONLUS, Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
| | - Jolanda M A Boer
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Magritt Brustad
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway
- The Public Dental Service Competence Centre of Northern Norway (TkNN), Tromsø, Norway
| | - Therese Haugdahl Nøst
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway
- K.G. Jebsen Centre for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Marta Crous-Bou
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)-Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dafina Petrova
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria Ibs.GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, Madrid, Spain
| | - Pilar Amiano
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, Madrid, Spain
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastian, Spain
- Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain
| | - José María Huerta
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Conchi Moreno-Iribas
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, SpainInstituto de Salud Pu´Blica de Navarra, IdiSNA, Navarre Institute for Health Research, Pamplona, Spain
| | - Gunnar Engström
- Department of Clinical Science in Malmö, Lund University, Clinical Research Center, Malmö, Sweden
| | - Olle Melander
- Department of Clinical Science in Malmö, Lund University, Clinical Research Center, Malmö, Sweden
- Department of Emergency and Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | - Kristina Johansson
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Kristina Lindvall
- Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | - Elom K Aglago
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Hills Road, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
| | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Hills Road, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| |
Collapse
|
5
|
Laguzzi F, Åkesson A, Marklund M, Qian F, Gigante B, Bartz TM, Bassett JK, Birukov A, Campos H, Hirakawa Y, Imamura F, Jäger S, Lankinen M, Murphy RA, Senn M, Tanaka T, Tintle N, Virtanen JK, Yamagishi K, Allison M, Brouwer IA, De Faire U, Eiriksdottir G, Ferrucci L, Forouhi NG, Geleijnse JM, Hodge AM, Kimura H, Laakso M, Risérus U, van Westing AC, Bandinelli S, Baylin A, Giles GG, Gudnason V, Iso H, Lemaitre RN, Ninomiya T, Post WS, Psaty BM, Salonen JT, Schulze MB, Tsai MY, Uusitupa M, Wareham NJ, Oh SW, Wood AC, Harris WS, Siscovick D, Mozaffarian D, Leander K. Role of Polyunsaturated Fat in Modifying Cardiovascular Risk Associated With Family History of Cardiovascular Disease: Pooled De Novo Results From 15 Observational Studies. Circulation 2024; 149:305-316. [PMID: 38047387 PMCID: PMC10798593 DOI: 10.1161/circulationaha.123.065530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 10/25/2023] [Indexed: 12/05/2023]
Abstract
BACKGROUND It is unknown whether dietary intake of polyunsaturated fatty acids (PUFA) modifies the cardiovascular disease (CVD) risk associated with a family history of CVD. We assessed interactions between biomarkers of low PUFA intake and a family history in relation to long-term CVD risk in a large consortium. METHODS Blood and tissue PUFA data from 40 885 CVD-free adults were assessed. PUFA levels ≤25th percentile were considered to reflect low intake of linoleic, alpha-linolenic, and eicosapentaenoic/docosahexaenoic acids (EPA/DHA). Family history was defined as having ≥1 first-degree relative who experienced a CVD event. Relative risks with 95% CI of CVD were estimated using Cox regression and meta-analyzed. Interactions were assessed by analyzing product terms and calculating relative excess risk due to interaction. RESULTS After multivariable adjustments, a significant interaction between low EPA/DHA and family history was observed (product term pooled RR, 1.09 [95% CI, 1.02-1.16]; P=0.01). The pooled relative risk of CVD associated with the combined exposure to low EPA/DHA, and family history was 1.41 (95% CI, 1.30-1.54), whereas it was 1.25 (95% CI, 1.16-1.33) for family history alone and 1.06 (95% CI, 0.98-1.14) for EPA/DHA alone, compared with those with neither exposure. The relative excess risk due to interaction results indicated no interactions. CONCLUSIONS A significant interaction between biomarkers of low EPA/DHA intake, but not the other PUFA, and a family history was observed. This novel finding might suggest a need to emphasize the benefit of consuming oily fish for individuals with a family history of CVD.
Collapse
Affiliation(s)
- Federica Laguzzi
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine (F.L., A.A., U.D.F., K.L.), Karolinska Institutet, Stockholm, Sweden
| | - Agneta Åkesson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine (F.L., A.A., U.D.F., K.L.), Karolinska Institutet, Stockholm, Sweden
| | - Matti Marklund
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (M.M., W.S.P)
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia (M.M.)
| | - Frank Qian
- Section of Cardiovascular Medicine, Boston Medical Center and Boston University Chobanian and Avedisian School of Medicine, MA (F.Q.)
- Department of Nutrition (F.Q.), Boston, MA
| | - Bruna Gigante
- Cardiovascular Medicine Unit, Department of Medicine Solna (B.G.), Karolinska Institutet, Stockholm, Sweden
| | - Traci M. Bartz
- Cardiovascular Health Research Unit, Departments of Biostatistics (T.M.B.), University of Washington, Seattle
- Medicine (T.M.B., R.N.L., B.M.P.), University of Washington, Seattle
| | - Julie K. Bassett
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia (J.K.B., A.M.H., G.G.G.)
| | - Anna Birukov
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal (A.K.B., S.J., M.B.S.)
- German Center for Diabetes Research, Neuherberg (A.K.B., S.J., M.B.S.)
| | - Hannia Campos
- Harvard T.H. Chan School of Public Health (H.C.), Boston, MA
| | - Yoichiro Hirakawa
- Departments of Epidemiology and Public Health and Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (Y.H., T.N.)
| | - Fumiaki Imamura
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, UK (F.I., N.G.F., N.J.W.)
| | - Susanne Jäger
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal (A.K.B., S.J., M.B.S.)
| | - Maria Lankinen
- Institutes of Public Health and Clinical Nutrition (M. Lankinen, J.K.V., M.U.), University of Eastern Finland, Kuopio
| | - Rachel A. Murphy
- Cancer Control Research, BC Cancer Agency, Vancouver, Canada (R.A.M.)
- School of Population and Public Health, University of British Columbia, Vancouver, Canada (R.A.M.)
| | - Mackenzie Senn
- United States Department of Agriculture/Agricultural Research Service Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX (M.S., A.C.W.)
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany (M.B.S.)
| | - Toshiko Tanaka
- Longitudinal Study Section, National Institute on Aging, Baltimore, MD (T.T., L.F.)
| | - Nathan Tintle
- Fatty Acid Research Institute, Sioux Falls, SD (N.T., W.S.H.)
- Department of Population Health Nursing Science, University of Illinois – Chicago (N.T.)
| | - Jyrki K. Virtanen
- Institutes of Public Health and Clinical Nutrition (M. Lankinen, J.K.V., M.U.), University of Eastern Finland, Kuopio
| | - Kazumasa Yamagishi
- Department of Public Health Medicine, Institute of Medicine (K.Y., H.K.), University of Tsukuba, Japan
- Health Services Research and Development Center (K.Y., H.K.), University of Tsukuba, Japan
| | - Matthew Allison
- Department of Family Medicine, University of California, San Diego, La Jolla (M.A.)
| | - Ingeborg A. Brouwer
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, The Netherlands (I.A.B.)
- Amsterdam Public Health Research Institute, The Netherlands (I.A.B.)
| | - Ulf De Faire
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine (F.L., A.A., U.D.F., K.L.), Karolinska Institutet, Stockholm, Sweden
| | | | - Luigi Ferrucci
- Longitudinal Study Section, National Institute on Aging, Baltimore, MD (T.T., L.F.)
| | - Nita G. Forouhi
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, UK (F.I., N.G.F., N.J.W.)
| | - Johanna M. Geleijnse
- Division of Human Nutrition and Health, Wageningen University and Research, The Netherlands (J.M.G., A.C.v.W.)
| | - Allison M Hodge
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia (J.K.B., A.M.H., G.G.G.)
- Centre for Epidemiology and Biostatistics, University of Melbourne, Victoria, Australia (A.M.H., G.G.G.)
| | - Hitomi Kimura
- Department of Public Health Medicine, Institute of Medicine (K.Y., H.K.), University of Tsukuba, Japan
- Health Services Research and Development Center (K.Y., H.K.), University of Tsukuba, Japan
| | - Markku Laakso
- Clinical Medicine, Internal Medicine (M. Laakso), University of Eastern Finland, Kuopio
- Kuopio University Hospital (M. Laakso), University of Eastern Finland, Kuopio
| | - Ulf Risérus
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Sweden (M.M., U.R)
| | - Anniek C. van Westing
- United States Department of Agriculture/Agricultural Research Service Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX (M.S., A.C.W.)
- Division of Human Nutrition and Health, Wageningen University and Research, The Netherlands (J.M.G., A.C.v.W.)
| | - Stefania Bandinelli
- Geriatric Unit, Azienda Unità Sanitaria Locale Toscana Centro, Florence, Italy (S.B.)
| | - Ana Baylin
- University of Michigan School of Public Health, Ann Arbor (A. Baylin)
| | - Graham G. Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia (J.K.B., A.M.H., G.G.G.)
- Centre for Epidemiology and Biostatistics, University of Melbourne, Victoria, Australia (A.M.H., G.G.G.)
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Victoria, Australia (G.G.G.)
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur (G.E., V.G.)
- Faculty of Medicine, University of Iceland, Reykjavik (V.G.)
| | - Hiroyasu Iso
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan (H.I.)
- Institute for Global Health Policy Research, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan (H.I.)
| | | | - Toshiharu Ninomiya
- Departments of Epidemiology and Public Health and Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (Y.H., T.N.)
| | - Wendy S. Post
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (M.M., W.S.P)
- Department of Medicine, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD (W.S.P.)
| | - Bruce M. Psaty
- Medicine (T.M.B., R.N.L., B.M.P.), University of Washington, Seattle
- Epidemiology (B.M.P.), University of Washington, Seattle
- Health Systems and Population Health (B.M.P.), University of Washington, Seattle
| | - Jukka T. Salonen
- Metabolic Analytical Services Oy, Helsinki, Finland (J.T.S.)
- University of Helsinki, the Faculty of Medicine, Department of Public Health, Finland (J.T.S.)
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal (A.K.B., S.J., M.B.S.)
- German Center for Diabetes Research, Neuherberg (A.K.B., S.J., M.B.S.)
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis (M.Y.T.)
| | - Matti Uusitupa
- Institutes of Public Health and Clinical Nutrition (M. Lankinen, J.K.V., M.U.), University of Eastern Finland, Kuopio
| | - Nicholas J. Wareham
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, UK (F.I., N.G.F., N.J.W.)
| | - Seung-Won Oh
- Department of Family Medicine, Seoul National University College of Medicine, and Healthcare System Gangnam Center, Seoul National University Hospital, Republic of Korea (S.W.O.)
| | - Alexis C. Wood
- United States Department of Agriculture/Agricultural Research Service Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX (M.S., A.C.W.)
| | - William S. Harris
- Fatty Acid Research Institute, Sioux Falls, SD (N.T., W.S.H.)
- Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls (W.S.H.)
| | | | - Dariush Mozaffarian
- Food Is Medicine Institute, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (D.M.)
| | - Karin Leander
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine (F.L., A.A., U.D.F., K.L.), Karolinska Institutet, Stockholm, Sweden
| |
Collapse
|
6
|
Trichia E, Koulman A, Stewart ID, Brage S, Griffin SJ, Griffin JL, Khaw K, Langenberg C, Wareham NJ, Imamura F, Forouhi NG. Plasma Metabolites Related to the Consumption of Different Types of Dairy Products and Their Association with New-Onset Type 2 Diabetes: Analyses in the Fenland and EPIC-Norfolk Studies, United Kingdom. Mol Nutr Food Res 2024; 68:e2300154. [PMID: 38054622 PMCID: PMC10909549 DOI: 10.1002/mnfr.202300154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 07/07/2023] [Indexed: 12/07/2023]
Abstract
SCOPE To identify metabolites associated with habitual dairy consumption and investigate their associations with type 2 diabetes (T2D) risk. METHODS AND RESULTS Metabolomics assays were conducted in the Fenland (n = 10,281) and EPIC-Norfolk (n = 1,440) studies. Using 82 metabolites assessed in both studies, we developed metabolite scores to classify self-reported consumption of milk, yogurt, cheese, butter, and total dairy (Fenland Study-discovery set; n = 6035). Internal and external validity of the scores was evaluated (Fenland-validation set, n = 4246; EPIC-Norfolk, n = 1440). The study assessed associations between each metabolite score and T2D incidence in EPIC-Norfolk (n = 641 cases; 16,350 person-years). The scores classified low and high consumers for all dairy types with internal validity, and milk, butter, and total dairy with external validity. The scores were further associated with lower incident T2D: hazard ratios (95% confidence interval) per standard deviation: milk 0.71 (0.65, 0.77); butter 0.62 (0.57, 0.68); total dairy 0.66 (0.60, 0.72). These associations persisted after adjustment for known dairy-fat biomarkers. CONCLUSION Metabolite scores identified habitual consumers of milk, butter, and total dairy products, and were associated with lower T2D risk. These findings hold promise for identifying objective indicators of the physiological response to dairy consumption.
Collapse
Affiliation(s)
- Eirini Trichia
- MRC Epidemiology UnitInstitute of Metabolic ScienceUniversity of Cambridge School of Clinical MedicineCambridgeCB2 0SLUK
| | - Albert Koulman
- MRC Epidemiology UnitInstitute of Metabolic ScienceUniversity of Cambridge School of Clinical MedicineCambridgeCB2 0SLUK
| | - Isobel D. Stewart
- MRC Epidemiology UnitInstitute of Metabolic ScienceUniversity of Cambridge School of Clinical MedicineCambridgeCB2 0SLUK
| | - Soren Brage
- MRC Epidemiology UnitInstitute of Metabolic ScienceUniversity of Cambridge School of Clinical MedicineCambridgeCB2 0SLUK
| | - Simon J. Griffin
- MRC Epidemiology UnitInstitute of Metabolic ScienceUniversity of Cambridge School of Clinical MedicineCambridgeCB2 0SLUK
| | | | - Kay‐Tee Khaw
- MRC Epidemiology UnitInstitute of Metabolic ScienceUniversity of Cambridge School of Clinical MedicineCambridgeCB2 0SLUK
| | - Claudia Langenberg
- MRC Epidemiology UnitInstitute of Metabolic ScienceUniversity of Cambridge School of Clinical MedicineCambridgeCB2 0SLUK
| | - Nicholas J. Wareham
- MRC Epidemiology UnitInstitute of Metabolic ScienceUniversity of Cambridge School of Clinical MedicineCambridgeCB2 0SLUK
| | - Fumiaki Imamura
- MRC Epidemiology UnitInstitute of Metabolic ScienceUniversity of Cambridge School of Clinical MedicineCambridgeCB2 0SLUK
| | - Nita G. Forouhi
- MRC Epidemiology UnitInstitute of Metabolic ScienceUniversity of Cambridge School of Clinical MedicineCambridgeCB2 0SLUK
| |
Collapse
|
7
|
O’Keefe JH, Tintle NL, Harris WS, O’Keefe EL, Sala-Vila A, Attia J, Garg GM, Hure A, Bork CS, Schmidt EB, Venø SK, Chien KL, Chen YY(A, Egert S, Feldreich TR, Ärnlöv J, Lind L, Forouhi NG, Geleijnse JM, Pertiwi K, Imamura F, de Mello Laaksonen V, Uusitupa WM, Tuomilehto J, Laakso M, Lankinen MA, Laurin D, Carmichael PH, Lindsay J, Leander K, Laguzzi F, Swenson BR, Longstreth WT, Manson JE, Mora S, Cook NR, Marklund M, van Lent DM, Murphy R, Gudnason V, Ninomiya T, Hirakawa Y, Qian F, Sun Q, Hu F, Ardisson Korat AV, Risérus U, Lázaro I, Samieri C, Le Goff M, Helmer C, Steur M, Voortman T, Ikram MK, Tanaka T, Das JK, Ferrucci L, Bandinelli S, Tsai M, Guan W, Garg P, Verschuren WMM, Boer JMA, Biokstra A, Virtanen J, Wagner M, Westra J, Albuisson L, Yamagishi K, Siscovick DS, Lemaitre RN, Mozaffarian D. Omega-3 Blood Levels and Stroke Risk: A Pooled and Harmonized Analysis of 183 291 Participants From 29 Prospective Studies. Stroke 2024; 55:50-58. [PMID: 38134264 PMCID: PMC10840378 DOI: 10.1161/strokeaha.123.044281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 10/30/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND The effect of marine omega-3 PUFAs on risk of stroke remains unclear. METHODS We investigated the associations between circulating and tissue omega-3 PUFA levels and incident stroke (total, ischemic, and hemorrhagic) in 29 international prospective cohorts. Each site conducted a de novo individual-level analysis using a prespecified analytical protocol with defined exposures, covariates, analytical methods, and outcomes; the harmonized data from the studies were then centrally pooled. Multivariable-adjusted HRs and 95% CIs across omega-3 PUFA quintiles were computed for each stroke outcome. RESULTS Among 183 291 study participants, there were 10 561 total strokes, 8220 ischemic strokes, and 1142 hemorrhagic strokes recorded over a median of 14.3 years follow-up. For eicosapentaenoic acid, comparing quintile 5 (Q5, highest) with quintile 1 (Q1, lowest), total stroke incidence was 17% lower (HR, 0.83 [CI, 0.76-0.91]; P<0.0001), and ischemic stroke was 18% lower (HR, 0.82 [CI, 0.74-0.91]; P<0.0001). For docosahexaenoic acid, comparing Q5 with Q1, there was a 12% lower incidence of total stroke (HR, 0.88 [CI, 0.81-0.96]; P=0.0001) and a 14% lower incidence of ischemic stroke (HR, 0.86 [CI, 0.78-0.95]; P=0.0001). Neither eicosapentaenoic acid nor docosahexaenoic acid was associated with a risk for hemorrhagic stroke. These associations were not modified by either baseline history of AF or prevalent CVD. CONCLUSIONS Higher omega-3 PUFA levels are associated with lower risks of total and ischemic stroke but have no association with hemorrhagic stroke.
Collapse
Affiliation(s)
- James H O’Keefe
- Saint Luke’s Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, MO
| | | | - William S Harris
- Fatty Acid Research Institute, Sioux Falls, SD
- University of South Dakota, Sioux Falls, SD
| | - Evan L O’Keefe
- Saint Luke’s Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, MO
| | - Aleix Sala-Vila
- Fatty Acid Research Institute, Sioux Falls, SD
- Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - John Attia
- The University of Newcastle, School of Biomedical Sciences and Pharmacy, Callaghan, Australia
| | - G Manohar Garg
- The University of Newcastle, School of Biomedical Sciences and Pharmacy, Callaghan, Australia
| | - Alexis Hure
- The University of Newcastle, School of Biomedical Sciences and Pharmacy, Callaghan, Australia
| | | | - Erik Berg Schmidt
- Aalborg University Hospital, Department of Clinical Medicine, Aalborg, Denmark
| | - Stine Krogh Venø
- Aalborg University Hospital, Department of Clinical Biochemistry, Aalborg, Denmark
| | - Kuo-Liong Chien
- National Taiwan University, Institute of Epidemiology and Preventive Medicine, Taipei Taiwan
| | - Yun-Yu (Amelia) Chen
- Taichung Veterans General Hospital, Department of Medical Research, Taichung, Taiwan
| | - Sarah Egert
- University of Bonn, Institute of Nutrition and Food Sciences and Nutritional Physiology, Bonn, Germany
| | | | - Johan Ärnlöv
- Karolinska Institutet, Division of Family Medicine and Primary Care, Department of Neurobiology Care Sciences & Society, Solna, Sweden
| | - Lars Lind
- Uppsala University, Department of Medical Sciences Cardiovascular Epidemiology, Uppsala, Sweden
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Johanna M Geleijnse
- Wageningen University & Research, Division of Human Nutrition and Health, Wageningen, Netherlands
| | - Kamalita Pertiwi
- Wageningen University & Research, Division of Human Nutrition and Health, Wageningen, Netherlands
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Vanessa de Mello Laaksonen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - W Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Jaakko Tuomilehto
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Markku Laakso
- University of Eastern Finland, School of Medicine, Department of Internal Medicine, Kuopio, Finland
| | - Maria Anneli Lankinen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Danielle Laurin
- CHU de Québec-Université Laval and VITAM Research Centers, Centre d’Excellence sur le Vieillissement de Québec, Québec, Canada
| | - Pierre-Hugues Carmichael
- CHU de Québec-Université Laval and VITAM Research Centers, Centre d’Excellence sur le Vieillissement de Québec, Québec, Canada
| | - Joan Lindsay
- University of Ottawa, School of Epidemiology and Public Health, Ottawa, Canada
| | - Karin Leander
- Karolinska Institutet, Institute of Environmental Medicine, Unit of Cardiovascular and Nutritional Epidemiology, Stockholm, Sweden
| | - Federica Laguzzi
- Karolinska Institutet, Institute of Environmental Medicine, Unit of Cardiovascular and Nutritional Epidemiology, Stockholm, Sweden
| | - Brenton R Swenson
- University of Washington, Cardiovascular Health Research Unit, Seattle, WA
| | - William T Longstreth
- University of Washington, Departments of Neurology and Epidemiology, Seattle, WA
| | - JoAnn E Manson
- Harvard Medical School, Department of Medicine, Brigham & Women’s Hospital, Boston, MA
| | - Samia Mora
- Harvard Medical School, Department of Medicine, Brigham & Women’s Hospital, Boston, MA
| | - Nancy R Cook
- Harvard Medical School, Department of Medicine, Brigham & Women’s Hospital, Boston, MA
| | - Matti Marklund
- The George Institute for Global Health, University of New South Wales, Newtown, NSW Australia; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland: and Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Debora Melo van Lent
- University of Texas, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, San Antonio, TX
| | - Rachel Murphy
- University of British Columbia, Cancer Control Research, British Columbia Cancer, School of Population and Public Health, Vancouver, Canada
| | | | - Toshihara Ninomiya
- Kyushu University, Department of Epidemiology and Public Health and Center for Cohort Studies, Fukouka, Japan
| | - Yoichiro Hirakawa
- Kyushu University, Department of Epidemiology and Public Health and Center for Cohort Studies, Fukouka, Japan
| | - Frank Qian
- Harvard Medical School, T.H. Chan School of Public Health and Beth Deaconess Medical Center, Boston, MA
| | - Qi Sun
- Harvard Medical School, T.H. Chan School of Public Health and Channing Division of Network Medicine Brigham and Women’s Hospital, Boston, MA
| | - Frank Hu
- Harvard Medical School, T.H. Chan School of Public Health and Channing Division of Network Medicine Brigham and Women’s Hospital, Boston, MA
| | | | - Ulf Risérus
- Uppsala University, Department of Public Health and Caring Sciences Clinical Nutrition and Metabolism Unit, Uppsala, Sweden
| | - Iolanda Lázaro
- Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Cecilia Samieri
- University of Bordeaux, Bordeaux Population Health Research Centre, Bordeaux, France
| | - Mélanie Le Goff
- University of Bordeaux, Bordeaux Population Health Research Centre, Bordeaux, France
| | - Catherine Helmer
- University of Bordeaux, Bordeaux Population Health Research Centre, Bordeaux, France
| | - Marinka Steur
- University Medical Center Rotterdam, Department of Epidemiology, Rotterdam, The Netherlands
| | - Trudy Voortman
- University Medical Center Rotterdam, Department of Epidemiology, Rotterdam, The Netherlands
| | - M Kamran Ikram
- University Medical Center Rotterdam, Department of Epidemiology, Rotterdam, The Netherlands
| | - Toshiko Tanaka
- National Institute of Health, National Institute on Aging, Longitudinal Studies Section, Baltimore, MD
| | | | - Luigi Ferrucci
- National Institute of Health, National Institute on Aging, Longitudinal Studies Section, Baltimore, MD
| | | | - Michael Tsai
- University of Minnesota, Department of Laboratory Medicine and Pathology, Minneapolis, MN
| | - Weihua Guan
- University of Minnesota, Division of Biostatistics, Minneapolis, MN
| | - Parveen Garg
- University of Southern California, Department of Medicine, Cardiology, Los Angeles, CA
| | - WM Monique Verschuren
- National Institute for Public Health and the Environment Bilthoven, The Netherlands, Julius Center for Health Sciences and Primary Care and Centre for Nutrition, Prevention and Health Services, Utrecht, The Netherlands
| | - Jolanda MA Boer
- National Institute for Public Health and the Environment Bilthoven, The Netherlands
| | - Anneke Biokstra
- National Institute for Public Health and the Environment Bilthoven, The Netherlands
| | - Jyrki Virtanen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Michael Wagner
- University Hospital, Depts of Neurodegenerative Diseases and Geriatric Psychiatry and German Center for Neurodegenerative Diseases, Bonn, Germany
| | | | | | - Kazumasa Yamagishi
- University of Tsukubu, Department of Public Health Medicine, Tsukuba, Japan
| | - David S Siscovick
- New York Academy of Medicine, Department of Epidemiology, New York, New York
| | | | | |
Collapse
|
8
|
Garg PK, Guan W, Nomura S, Weir NL, Tintle N, Virtanen JK, Hirakawa Y, Qian F, Sun Q, Rimm E, Lemaitre RN, Jensen PN, Heckbert SR, Imamura F, Steur M, Leander K, Laguzzi F, Voortman T, Ninomiya T, Mozaffarian D, Harris WS, Siscovick DS, Tsai MY. n-6 fatty acid biomarkers and incident atrial fibrillation: an individual participant-level pooled analysis of 11 international prospective studies. Am J Clin Nutr 2023; 118:921-929. [PMID: 37769813 DOI: 10.1016/j.ajcnut.2023.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 09/02/2023] [Accepted: 09/18/2023] [Indexed: 10/03/2023] Open
Abstract
BACKGROUND The presence of atrial fibrillation (AF) is associated with an over 2-fold increased risk of stroke, heart failure, and cardiovascular mortality. Long chain n-6 PUFAs have been suggested to have a variety of beneficial biologic effects that may reduce AF development; however, prior studies evaluating this relationship are limited. OBJECTIVES We prospectively evaluated the association between circulating levels of linoleic acid (LA) and arachidonic acid (AA) with incident AF. METHODS We used participant-level data from a global consortium of 11 prospective cohort studies with measurements of LA and AA in adults (aged ≥18 y). Participating studies conducted de novo analyses using a prespecified analytical plan with harmonized definitions for exposures, outcomes, covariates, and subgroups. Associations were pooled using inverse-variance weighted meta-analysis. RESULTS Among 41,335 participants, 6173 incident cases of AF were ascertained, with median follow-up time of 14 y. In multivariable analysis, per interquintile range (difference between the 10th and 90th percentiles for each fatty acid), circulating n-6 levels were not associated with incident AF. For LA, the hazard ratio per interquintile range was 0.96 (95% confidence interval [CI]: 0.89, 1.04), and for AA, 1.02 (95% CI: 0.94, 1.10), with little evidence of heterogeneity between cohorts. Associations were similarly nonsignificant across subgroups of age, race, and biomarker fraction. CONCLUSIONS Biomarkers of n-6 fatty acids including LA and AA are not associated with incident AF. These findings suggest that overall effects of n-6 PUFAs on influencing AF development are neutral.
Collapse
Affiliation(s)
- Parveen K Garg
- Division of Cardiology, University of Southern California Keck School of Medicine, Los Angeles, CA, United States
| | - Weihua Guan
- Division of Biostatistics, University of Minnesota, Minneapolis, MN, United States
| | - Sarah Nomura
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States
| | - Natalie L Weir
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States
| | - Nathan Tintle
- Department of Population Health Sciences, College of Nursing, University of Illinois-Chicago, Chicago, IL, United States
| | - Jyrki K Virtanen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Yoichiro Hirakawa
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Frank Qian
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Eric Rimm
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, United States
| | - Paul N Jensen
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, United States
| | - Susan R Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, United States
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Marinka Steur
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Karin Leander
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Federica Laguzzi
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States; Division of Cardiology, Tufts Medical Center, Boston, MA, United States
| | - William S Harris
- Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, United States
| | | | - Michael Y Tsai
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States.
| |
Collapse
|
9
|
Mba CM, Jones KS, Forouhi NG, Imamura F, Assah F, Mbanya JC, Wareham NJ. The association between plasma zinc concentrations and markers of glucose metabolism in adults in Cameroon. Br J Nutr 2023; 130:1220-1227. [PMID: 36693633 PMCID: PMC7615052 DOI: 10.1017/s0007114523000223] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
An abnormal Zn status has been suggested to play a role in the pathogenesis of type 2 diabetes. However, epidemiological studies of the relationship between plasma Zn concentrations and diabetes are sparse and inconclusive. We aimed to investigate the association between plasma Zn concentrations and glycaemic markers (fasting glucose, 2-h glucose and homeostatic model assessment of insulin resistance) in rural and urban Cameroon. We studied 596 healthy adults (63·3 % women) aged 25-55 years in a population-based cross-sectional study. The mean plasma Zn concentration was 13·7 ± 2·7 µmol/L overall, with higher levels in men (14·4 ± 2·9 µmol/l) than in women (13·2 ± 2·6 µmol/l), P-value < 0·0001. There was an inverse relationship between tertiles of plasma Zn and 2-h glucose concentrations (P-value for linear trend = 0·002). The difference in 2-h glucose between those in the highest tertile of plasma Zn compared to the lowest was -0·63 (95 % CI - 1·02, -0·23) mmol/l. This remained significant after adjusting for age, sex, smoking status, alcohol intake, education level, area of residence, adiposity and objectively measured physical activity -0·43(-0·82, -0·04). Similar inverse associations were observed between plasma Zn concentrations and fasting glucose and homeostatic model assessment of insulin resistance when adjusted for socio-demographic and health-related behavioural characteristics. The current findings of an inverse association between plasma Zn concentrations and several markers of glucose homeostasis, together with growing evidence from intervention studies, suggest a role for Zn in glucose metabolism. If supported by further evidence, strategies to improve Zn status in populations may provide a cheap public health prevention approach for diabetes.
Collapse
Affiliation(s)
- Camille M. Mba
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Department of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon
| | - Kerry S. Jones
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- National Institute for Health Research Biomedical Research Centre Nutritional Biomarker Laboratory, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Nita G. Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Felix Assah
- Department of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon
| | - Jean Claude Mbanya
- Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| |
Collapse
|
10
|
Qian F, Tintle N, Jensen PN, Lemaitre RN, Imamura F, Feldreich TR, Nomura SO, Guan W, Laguzzi F, Kim E, Virtanen JK, Steur M, Bork CS, Hirakawa Y, O'Donoghue ML, Sala-Vila A, Ardisson Korat AV, Sun Q, Rimm EB, Psaty BM, Heckbert SR, Forouhi NG, Wareham NJ, Marklund M, Risérus U, Lind L, Ärnlöv J, Garg P, Tsai MY, Pankow J, Misialek JR, Gigante B, Leander K, Pester JA, Albert CM, Kavousi M, Ikram A, Voortman T, Schmidt EB, Ninomiya T, Morrow DA, Bayés-Genís A, O'Keefe JH, Ong KL, Wu JHY, Mozaffarian D, Harris WS, Siscovick DS. Omega-3 Fatty Acid Biomarkers and Incident Atrial Fibrillation. J Am Coll Cardiol 2023; 82:336-349. [PMID: 37468189 DOI: 10.1016/j.jacc.2023.05.024] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/04/2023] [Accepted: 05/09/2023] [Indexed: 07/21/2023]
Abstract
BACKGROUND The relationship between omega-3 fatty acids and atrial fibrillation (AF) remains controversial. OBJECTIVES This study aimed to determine the prospective associations of blood or adipose tissue levels of eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), and docosahexaenoic acid (DHA) with incident AF. METHODS We used participant-level data from a global consortium of 17 prospective cohort studies, each with baseline data on blood or adipose tissue omega-3 fatty acid levels and AF outcomes. Each participating study conducted a de novo analyses using a prespecified analytical plan with harmonized definitions for exposures, outcome, covariates, and subgroups. Associations were pooled using inverse-variance weighted meta-analysis. RESULTS Among 54,799 participants from 17 cohorts, 7,720 incident cases of AF were ascertained after a median 13.3 years of follow-up. In multivariable analysis, EPA levels were not associated with incident AF, HR per interquintile range (ie, the difference between the 90th and 10th percentiles) was 1.00 (95% CI: 0.95-1.05). HRs for higher levels of DPA, DHA, and EPA+DHA, were 0.89 (95% CI: 0.83-0.95), 0.90 (95% CI: 0.85-0.96), and 0.93 (95% CI: 0.87-0.99), respectively. CONCLUSIONS In vivo levels of omega-3 fatty acids including EPA, DPA, DHA, and EPA+DHA were not associated with increased risk of incident AF. Our data suggest the safety of habitual dietary intakes of omega-3 fatty acids with respect to AF risk. Coupled with the known benefits of these fatty acids in the prevention of adverse coronary events, our study suggests that current dietary guidelines recommending fish/omega-3 fatty acid consumption can be maintained.
Collapse
Affiliation(s)
- Frank Qian
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Nathan Tintle
- Department of Mathematics and Statistics, Dordt University, Sioux Center, Iowa, USA; Fatty Acid Research Institute, Sioux Falls, South Dakota, USA
| | - Paul N Jensen
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Tobias Rudholm Feldreich
- School of Health and Social Sciences, Dalarna University, Falun, Sweden; Center for Clinical Research Dalarna, Region Dalarna, Falun, Sweden
| | - Sarah Oppeneer Nomura
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Weihua Guan
- Division of Biostatistics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Federica Laguzzi
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Eunjung Kim
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Jyrki K Virtanen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Marinka Steur
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands
| | - Christian S Bork
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Yoichiro Hirakawa
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Michelle L O'Donoghue
- TIMI Study Group, Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Aleix Sala-Vila
- Fatty Acid Research Institute, Sioux Falls, South Dakota, USA; Cardiovascular Risk and Nutrition - Hospital Del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Andres V Ardisson Korat
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Eric B Rimm
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology and Health Systems and Population Health, University of Washington, Seattle, Washington, USA
| | - Susan R Heckbert
- Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Matti Marklund
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden; Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA; The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Ulf Risérus
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Johan Ärnlöv
- Center for Clinical Research Dalarna, Region Dalarna, Falun, Sweden; School of Health and Social Studies, Dalarna University, Falun, Sweden; Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institute, Stockholm, Sweden
| | - Parveen Garg
- Division of Cardiology, University of Southern California Keck School of Medicine, Los Angeles, California, USA
| | - Michael Y Tsai
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - James Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Jeffrey R Misialek
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Bruna Gigante
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Karin Leander
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Julie A Pester
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Christine M Albert
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands
| | - Arfan Ikram
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands; Division of Human Nutrition and Health, Wageningen University and Research, Wageningenn, the Netherlands
| | - Erik B Schmidt
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - David A Morrow
- TIMI Study Group, Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Antoni Bayés-Genís
- Department of Cardiology, Heart Institute, Hospital Universitari Germans Trias i Pujol, Barcelona, Spain; Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
| | - James H O'Keefe
- Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, Missouri, USA
| | - Kwok Leung Ong
- NHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Jason H Y Wu
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA; Division of Cardiology, Tufts Medical Center, Boston, Massachusetts, USA
| | - William S Harris
- Fatty Acid Research Institute, Sioux Falls, South Dakota, USA; Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls, South Dakota, USA
| | | |
Collapse
|
11
|
Spillman LN, Madden AM, Richardson H, Imamura F, Jones D, Nash M, Lim HK, Hellawell HN, Rennie KL, Oude Griep LM, Allison M, Griffin SJ. Nutritional Intake after Liver Transplant: Systematic Review and Meta-Analysis. Nutrients 2023; 15:2487. [PMID: 37299450 PMCID: PMC10255417 DOI: 10.3390/nu15112487] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 05/21/2023] [Accepted: 05/24/2023] [Indexed: 06/12/2023] Open
Abstract
Cardiovascular disease and its concurrent risk factors are prevalent after liver transplant (LT). Most of these risk factors are modifiable by diet. We aimed to synthesise the literature reporting the nutritional intake of liver transplant recipients (LTR) and the potential determinants of intake. We performed a systematic review and meta-analyses of studies published up until July 2021 reporting the nutritional intake of LTR. The pooled daily mean intakes were recorded as 1998 (95% CI 1889, 2108) kcal, 17 (17, 18)% energy from protein, 49 (48, 51)% energy from carbohydrates, 34 (33, 35)% energy from total fat, 10 (7, 13)% energy from saturated fat, and 20 (18, 21) g of fibre. The average fruit and vegetable intake ranged from 105 to 418 g/day. The length of time post-LT and the age and sex of the cohorts, as well as the continent and year of publication of each study, were sources of heterogeneity. Nine studies investigated the potential determinants of intake, time post-LT, gender and immunosuppression medication, with inconclusive results. Energy and protein requirements were not met in the first month post-transplant. After this point, energy intake was significantly higher and remained stable over time, with a high fat intake and low intake of fibre, fruits and vegetables. This suggests that LTR consume a high-energy, low-quality diet in the long term and do not adhere to the dietary guidelines for cardiovascular disease prevention.
Collapse
Affiliation(s)
- Lynsey N. Spillman
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0QQ, UK; (F.I.); (D.J.); (K.L.R.); (L.M.O.G.); (S.J.G.)
- Liver Transplant Unit, Cambridge NIHR Biomedical Research Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK;
| | - Angela M. Madden
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield AL10 9AB, UK; (A.M.M.); (H.R.)
| | - Holly Richardson
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield AL10 9AB, UK; (A.M.M.); (H.R.)
| | - Fumiaki Imamura
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0QQ, UK; (F.I.); (D.J.); (K.L.R.); (L.M.O.G.); (S.J.G.)
| | - Danielle Jones
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0QQ, UK; (F.I.); (D.J.); (K.L.R.); (L.M.O.G.); (S.J.G.)
| | - Marilyn Nash
- Department of Nutrition and Dietetics, East Suffolk and North Essex NHS Foundation Trust, Colchester CO4 5JL, UK
| | - Hong Kai Lim
- School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, Cambridge CB2 0QQ, UK; (H.K.L.); (H.N.H.)
| | - Holly N. Hellawell
- School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, Cambridge CB2 0QQ, UK; (H.K.L.); (H.N.H.)
| | - Kirsten L. Rennie
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0QQ, UK; (F.I.); (D.J.); (K.L.R.); (L.M.O.G.); (S.J.G.)
| | - Linda M. Oude Griep
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0QQ, UK; (F.I.); (D.J.); (K.L.R.); (L.M.O.G.); (S.J.G.)
| | - Michael Allison
- Liver Transplant Unit, Cambridge NIHR Biomedical Research Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK;
| | - Simon J. Griffin
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0QQ, UK; (F.I.); (D.J.); (K.L.R.); (L.M.O.G.); (S.J.G.)
- Department of Public Health and Primary Care, Primary Care Unit, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0SR, UK
| |
Collapse
|
12
|
Sobiecki JG, Imamura F, Davis CR, Sharp SJ, Koulman A, Hodgson JM, Guevara M, Schulze MB, Zheng JS, Agnoli C, Bonet C, Colorado-Yohar SM, Fagherazzi G, Franks PW, Gundersen TE, Jannasch F, Kaaks R, Katzke V, Molina-Montes E, Nilsson PM, Palli D, Panico S, Papier K, Rolandsson O, Sacerdote C, Tjønneland A, Tong TYN, van der Schouw YT, Danesh J, Butterworth AS, Riboli E, Murphy KJ, Wareham NJ, Forouhi NG. A nutritional biomarker score of the Mediterranean diet and incident type 2 diabetes: Integrated analysis of data from the MedLey randomised controlled trial and the EPIC-InterAct case-cohort study. PLoS Med 2023; 20:e1004221. [PMID: 37104291 PMCID: PMC10138823 DOI: 10.1371/journal.pmed.1004221] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 03/15/2023] [Indexed: 04/28/2023] Open
Abstract
BACKGROUND Self-reported adherence to the Mediterranean diet has been modestly inversely associated with incidence of type 2 diabetes (T2D) in cohort studies. There is uncertainty about the validity and magnitude of this association due to subjective reporting of diet. The association has not been evaluated using an objectively measured biomarker of the Mediterranean diet. METHODS AND FINDINGS We derived a biomarker score based on 5 circulating carotenoids and 24 fatty acids that discriminated between the Mediterranean or habitual diet arms of a parallel design, 6-month partial-feeding randomised controlled trial (RCT) conducted between 2013 and 2014, the MedLey trial (128 participants out of 166 randomised). We applied this biomarker score in an observational study, the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct case-cohort study, to assess the association of the score with T2D incidence over an average of 9.7 years of follow-up since the baseline (1991 to 1998). We included 22,202 participants, of whom 9,453 were T2D cases, with relevant biomarkers from an original case-cohort of 27,779 participants sampled from a cohort of 340,234 people. As a secondary measure of the Mediterranean diet, we used a score estimated from dietary-self report. Within the trial, the biomarker score discriminated well between the 2 arms; the cross-validated C-statistic was 0.88 (95% confidence interval (CI) 0.82 to 0.94). The score was inversely associated with incident T2D in EPIC-InterAct: the hazard ratio (HR) per standard deviation of the score was 0.71 (95% CI: 0.65 to 0.77) following adjustment for sociodemographic, lifestyle and medical factors, and adiposity. In comparison, the HR per standard deviation of the self-reported Mediterranean diet was 0.90 (95% CI: 0.86 to 0.95). Assuming the score was causally associated with T2D, higher adherence to the Mediterranean diet in Western European adults by 10 percentiles of the score was estimated to reduce the incidence of T2D by 11% (95% CI: 7% to 14%). The study limitations included potential measurement error in nutritional biomarkers, unclear specificity of the biomarker score to the Mediterranean diet, and possible residual confounding. CONCLUSIONS These findings suggest that objectively assessed adherence to the Mediterranean diet is associated with lower risk of T2D and that even modestly higher adherence may have the potential to reduce the population burden of T2D meaningfully. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12613000602729 https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=363860.
Collapse
Affiliation(s)
- Jakub G. Sobiecki
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Courtney R. Davis
- Alliance for Research in Exercise, Nutrition and Activity, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, Australia
| | - Stephen J. Sharp
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Albert Koulman
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Nutritional Biomarker Laboratory, National Institute for Health Research Biomedical Research Centre, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Jonathan M. Hodgson
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
- Medical School, University of Western Australia, Perth, Australia
| | - Marcela Guevara
- Navarra Public Health Institute, Pamplona, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Ju-Sheng Zheng
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy
| | - Catalina Bonet
- Unit of Nutrition and Cancer, Catalan Institute of Oncology—ICO, L’Hospitalet de Llobregat, Barcelona, Spain
- Nutrition and Cancer Group, Bellvitge Biomedical Research Institute—IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain
| | - Sandra M. Colorado-Yohar
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- Research Group on Demography and Health, National Faculty of Public Health, University of Antioquia, Medellín, Colombia
| | - Guy Fagherazzi
- Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Insitute of Health, Strassen, Luxembourg
- Center of Epidemiology and Population Health UMR 1018, Inserm, Paris South—Paris Saclay University, Gustave Roussy Institute, Villejuif, France
| | - Paul W. Franks
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | | | - Franziska Jannasch
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Esther Molina-Montes
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Institute of Nutrition and Food Technology (INYTA) ‘José Mataix’, Biomedical Research Centre, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Department of Nutrition and Food Science, University of Granada, Granada, Spain
| | | | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network—ISPRO, Florence, Italy
| | - Salvatore Panico
- Department of Mental, Physical Health and Preventive Medicine, University “L. Vanvitelli”, Naples, Italy
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Olov Rolandsson
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tammy Y. N. Tong
- Department of Mental, Physical Health and Preventive Medicine, University “L. Vanvitelli”, Naples, Italy
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - John Danesh
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- British Heart Foundation Cambridge Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke’s Hospital, Cambridge, United Kingdom
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridge, United Kingdom
- Health Data Research UK Cambridge, University of Cambridge, Cambridge, United Kingdom
| | - Adam S. Butterworth
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Elio Riboli
- School of Public Health, Imperial College London, London, United Kingdom
| | - Karen J. Murphy
- Alliance for Research in Exercise, Nutrition and Activity, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, Australia
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Nita G. Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom
| |
Collapse
|
13
|
Ardisson Korat AV, Qian F, Malik V, Lehr M, Imamura F, Tintle N, Laakso M, van Dam R, Harris W, Marklund M, Samieri C, Senn M, Leander K, Forouhi N, Riserus U, Chien KL, Chen A, Wood A, Guan W, Tsai MY, Murphy R, Siscovick DS, Lemaitre R, Mozaffarian D, Sun Q. Abstract MP62: Fatty Acid Biomarkers of 15:0, 17:0 and
Trans
16:1n-7 and Incident Coronary Heart Disease and Stroke: A Pooling Project of 15 Prospective Cohorts in the Fatty Acids and Outcomes Research Consortium. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.mp62] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Introduction:
Previous studies have reported inverse associations of circulating and tissue levels of pentadecanoic acid (15:0), heptadecanoic acid (17:0) and
trans
-palmitoleic acid (
trans
16:1n-7), which have been proposed as potential biomarkers of dairy fat intake, with risk of type-2 diabetes and certain cardiovascular outcomes.
Hypothesis:
We assessed the hypothesis that circulating and tissue levels of 15:0, 17:0,
trans
16:1n-7 are inversely associated with risk of incident coronary heart disease (CHD) and stroke in a global consortium of prospective studies.
Methods:
We used data from 15 prospective cohorts in the Fatty Acids and Outcomes Research Consortium. We included adults (age≥18 years) who were free of cardiovascular diseases and had blood or adipose tissue measurements of 15:0, 17:0 or
trans
16:1n-7. We used a harmonized analysis protocol with each exposure standardized to the interquintile range (IQR): difference between the 10
th
and 90
th
percentiles of each fatty acid to conduct new individual participant-level analyses. We harmonized covariate definitions across studies to include demographic, lifestyle and health variables, and levels of other fatty acids associated with CHD or stroke. We used inverse-variance meta-analysis to calculate the pooled relative risks (RR) and 95% confidence intervals (CI) for each outcome. We also calculated Spearman correlation coefficients between levels of each fatty acid exposure and potential dietary determinants of their levels (intakes of total, high-fat and low-fat dairy, meat from ruminant animals, fish and dietary fiber) among 6 studies with dietary data.
Results and Conclusions:
Among 34,187 participants, 5,790 incident CHD and 3,098 stroke cases were documented during a maximum follow-up of 23.3 years. We did not observe significant associations of any of the fatty acid biomarkers with risk of CHD or stroke. The pooled multivariate RR and 95% CI of CHD per IQR were 0.97 (0.92, 1.02) for 15:0, 0.97 (0.92, 1.02) for 17:0, 1.11 (0.97, 1.26) for
trans
16:1n-7, and 0.98 (0.92, 1.04) for the sum of the fatty acids. The respective RR and 95% of stroke were 1.01 (0.93, 1.09) for 15:0, 0.91 (0.81, 1.03) for 17:0, 0.99 (0.83, 1.18) for
trans
16:1n-7, and 0.93 (0.85, 1.04) for the summed fatty acids. Additionally, we did not observe significant heterogeneity by age, sex, race/ethnicity, world region, baseline hypertension status or lipid compartment. Circulating and tissue levels of 15:0, 17:0 and
trans
16:1n-7 were weakly correlated with intakes of total or high-fat dairy (Spearman correlations [
r
= 0.05 to 0.37]) but were not correlated with intakes of low-fat dairy, ruminant meat, fish or dietary fiber [
r
= -0.08 to 0.09]. In conclusion, circulating and tissue levels of 15:0, 17:0,
trans
16:1n-7 were not associated with risk of CHD or stroke. Our study suggests a limited role for these fatty acids in the etiology of cardiovascular disease.
Collapse
Affiliation(s)
| | | | | | - Marcus Lehr
- Jean Mayer USDA Human Nutrition Rsch Cntr on Aging at Tufts Univ (HNRCA), Boston, MA
| | | | | | - Markku Laakso
- Institute of Clinical Medicine, Univ of Eastern Finland, Kuopio, Finland, Kuopio, Finland
| | - Rob van Dam
- Saw Swee Hock Sch of Public Health, National Univ of Singapore, Singapore, Singapore, Singapore
| | - William Harris
- Dept of Internal Medicine, Sanford Sch of Medicine, Univ of South Dakota, Sioux Falls, SD, USA. The Fatty Acid Rsch Institute, Sioux Falls, SD, USA, Siux Falls, SD
| | - Matti Marklund
- The George Institute for Global Health and the Faculty of Medicine, Univ New South Wales, Sydney, Australia
| | | | - MacKenzie Senn
- USDA/ARS Children's Nutrition Rsch Cntr, Baylor College of Medicine, Houston, TX
| | | | - Nita Forouhi
- MRC Epidemiology Unit, Univ of Cambridge Sch of Clinical Medicine, Cambridge, United Kingdom
| | | | - Kou-Liong Chien
- 1. Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan Univ and Dept of Internal Medicine, National Taiwan Univ Hosp and College of Medicine, Taipei, Taiwan
| | - Amelia Chen
- Dept of Med Rsch, Taichung Veterans General Hosp, Taichung, Taiwan. 2. Heart Rhythm Cntr, Div of Cardiology, Dept of Medicine, Taipei Veterans General Hosp, Taipei, Taiwan, Tapei, Taiwan
| | | | - Weihua Guan
- Univ Minnesota, Minneapolis, United States Minor Outlying Islands
| | | | | | | | - Rozenn Lemaitre
- 26. Cardiovascular Health Rsch Unit, Dept of Medicine, Univ of Washington, Seattle, WA
| | | | - Qi Sun
- HARVARD SCHOOL OF PUBLIC HEALTH, Boston, MA
| |
Collapse
|
14
|
Ong KL, Marklund M, Huang L, Rye KA, Hui N, Pan XF, Rebholz CM, Kim H, Steffen LM, van Westing AC, Geleijnse JM, Hoogeveen EK, Chen YY, Chien KL, Fretts AM, Lemaitre RN, Imamura F, Forouhi NG, Wareham NJ, Birukov A, Jäger S, Kuxhaus O, Schulze MB, de Mello VD, Tuomilehto J, Uusitupa M, Lindström J, Tintle N, Harris WS, Yamasaki K, Hirakawa Y, Ninomiya T, Tanaka T, Ferrucci L, Bandinelli S, Virtanen JK, Voutilainen A, Jayasena T, Thalamuthu A, Poljak A, Bustamante S, Sachdev PS, Senn MK, Rich SS, Tsai MY, Wood AC, Laakso M, Lankinen M, Yang X, Sun L, Li H, Lin X, Nowak C, Ärnlöv J, Risérus U, Lind L, Le Goff M, Samieri C, Helmer C, Qian F, Micha R, Tin A, Köttgen A, de Boer IH, Siscovick DS, Mozaffarian D, Wu JH. Association of omega 3 polyunsaturated fatty acids with incident chronic kidney disease: pooled analysis of 19 cohorts. BMJ 2023; 380:e072909. [PMID: 36653033 PMCID: PMC9846698 DOI: 10.1136/bmj-2022-072909] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/12/2022] [Indexed: 01/20/2023]
Abstract
OBJECTIVE To assess the prospective associations of circulating levels of omega 3 polyunsaturated fatty acid (n-3 PUFA) biomarkers (including plant derived α linolenic acid and seafood derived eicosapentaenoic acid, docosapentaenoic acid, and docosahexaenoic acid) with incident chronic kidney disease (CKD). DESIGN Pooled analysis. DATA SOURCES A consortium of 19 studies from 12 countries identified up to May 2020. STUDY SELECTION Prospective studies with measured n-3 PUFA biomarker data and incident CKD based on estimated glomerular filtration rate. DATA EXTRACTION AND SYNTHESIS Each participating cohort conducted de novo analysis with prespecified and consistent exposures, outcomes, covariates, and models. The results were pooled across cohorts using inverse variance weighted meta-analysis. MAIN OUTCOME MEASURES Primary outcome of incident CKD was defined as new onset estimated glomerular filtration rate <60 mL/min/1.73 m2. In a sensitivity analysis, incident CKD was defined as new onset estimated glomerular filtration rate <60 mL/min/1.73 m2 and <75% of baseline rate. RESULTS 25 570 participants were included in the primary outcome analysis and 4944 (19.3%) developed incident CKD during follow-up (weighted median 11.3 years). In multivariable adjusted models, higher levels of total seafood n-3 PUFAs were associated with a lower incident CKD risk (relative risk per interquintile range 0.92, 95% confidence interval 0.86 to 0.98; P=0.009, I2=9.9%). In categorical analyses, participants with total seafood n-3 PUFA level in the highest fifth had 13% lower risk of incident CKD compared with those in the lowest fifth (0.87, 0.80 to 0.96; P=0.005, I2=0.0%). Plant derived α linolenic acid levels were not associated with incident CKD (1.00, 0.94 to 1.06; P=0.94, I2=5.8%). Similar results were obtained in the sensitivity analysis. The association appeared consistent across subgroups by age (≥60 v <60 years), estimated glomerular filtration rate (60-89 v ≥90 mL/min/1.73 m2), hypertension, diabetes, and coronary heart disease at baseline. CONCLUSIONS Higher seafood derived n-3 PUFA levels were associated with lower risk of incident CKD, although this association was not found for plant derived n-3 PUFAs. These results support a favourable role for seafood derived n-3 PUFAs in preventing CKD.
Collapse
Affiliation(s)
- Kwok Leung Ong
- Lipid Research Group, School of Biomedical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Matti Marklund
- The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- The Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Liping Huang
- The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Kerry-Anne Rye
- Lipid Research Group, School of Biomedical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Nicholas Hui
- Lipid Research Group, School of Biomedical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Xiong-Fei Pan
- The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu, Sichuan, China
| | - Casey M Rebholz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Hyunju Kim
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Lyn M Steffen
- University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Anniek C van Westing
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Johanna M Geleijnse
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Ellen K Hoogeveen
- Department of Nephrology, Jeroen Bosch Hospital, Den Bosch, The Netherlands
- Institute of Epidemiology and Preventive Medicine College of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
- Heart Rhythm Center, Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | | | - Kuo-Liong Chien
- Institute of Epidemiology and Preventive Medicine College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Amanda M Fretts
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | | | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Anna Birukov
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Susanne Jäger
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Olga Kuxhaus
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Vanessa Derenji de Mello
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Jaakko Tuomilehto
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Saudi Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Jaana Lindström
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Nathan Tintle
- The Fatty Acid Research Institute, Sioux Falls, SD, USA
- Department of Population Health Nursing Science, College of Nursing, University of Illinois-Chicago, Chicago, IL, USA
| | - William S Harris
- The Fatty Acid Research Institute, Sioux Falls, SD, USA
- Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Keisuke Yamasaki
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoichiro Hirakawa
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, National Institute of Health, Baltimore, MD, USA
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, National Institute of Health, Baltimore, MD, USA
| | | | - Jyrki K Virtanen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Ari Voutilainen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Tharusha Jayasena
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Anne Poljak
- Mark Wainwright Analytical Centre, University of New South Wales, Sydney, NSW, Australia
| | - Sonia Bustamante
- Mark Wainwright Analytical Centre, University of New South Wales, Sydney, NSW, Australia
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | | | - Mackenzie K Senn
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Stephen S Rich
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Alexis C Wood
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Maria Lankinen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Xiaowei Yang
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Liang Sun
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Huaixing Li
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Xu Lin
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- Key Laboratory of Systems Health Science of Zhejiang Province, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, China
| | - Christoph Nowak
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Sweden
| | - Johan Ärnlöv
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Sweden
| | - Ulf Risérus
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Mélanie Le Goff
- Bordeaux Population Health Research Centre, INSERM, UMR 1219, University of Bordeaux, Bordeaux, France
| | - Cécilia Samieri
- Bordeaux Population Health Research Centre, INSERM, UMR 1219, University of Bordeaux, Bordeaux, France
| | - Catherine Helmer
- Bordeaux Population Health Research Centre, INSERM, UMR 1219, University of Bordeaux, Bordeaux, France
| | - Frank Qian
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Renata Micha
- Department of Food Science and Nutrition, University of Thessaly, Karditsa, Greece
- The Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Adrienne Tin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Anna Köttgen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Institute of Genetic Epidemiology, Department of Data Driven Medicine, Faculty of Medicine and Medical Centre, University of Freiburg, Freiburg, Germany
| | - Ian H de Boer
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, USA
- Kidney Research Institute, University of Washington, Seattle, WA, USA
- Puget Sound VA Healthcare System, Seattle, WA, USA
| | | | - Dariush Mozaffarian
- The Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Jason Hy Wu
- The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- School of Population Health, University of New South Wales, Sydney, NSW, Australia
| |
Collapse
|
15
|
Yamaura T, Arizumi F, Maruo K, Kishima K, Yoshie N, Kusukawa T, Imamura F, Tachibana T. The Impact of Controlling Nutritional Status (CONUT) score on functional prognosis in hospitalized elderly patients with acute osteoporotic vertebral fractures. BMC Geriatr 2022; 22:1002. [PMID: 36577983 PMCID: PMC9795616 DOI: 10.1186/s12877-022-03708-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 12/19/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Nutritional status, which is associated with osteoporosis and muscle weakness is considered an important factor in the management of acute osteoporotic vertebral fracture (AOVF). However, few reports have investigated the nutritional status of hospitalized patients with AOVF and the impact of malnutrition on their functional prognosis. This study aimed to evaluate the nutritional status of hospitalized elderly patients with AOVF using the Controlling Nutritional Status (CONUT) score and to determine the usefulness of the CONUT score in predicting their functional prognosis. METHODS The CONUT score on admission was retrospectively calculated for 134 hospitalized elderly patients (mean age 83 ± 7.6 years, 66% female) with AOVF who received conservative treatment between 2017 and 2020. Functional outcome was assessed by comparing ambulatory ability before the onset of AOVF and upon discharge. Patients were divided into two groups: CONUT-high ( ≥ 4) and CONUT-low ( ≤ 3), according to receiver operating characteristic (ROC) analysis to predict decline in ambulatory ability upon discharge. Logistic regression analysis was performed to obtain odds ratios (OR) and 95% confidence intervals (CI) of the relationships between the nutritional status and ambulatory ability. The discriminative power of the CONUT score was then compared with other nutritional assessment tools such as the Geriatric Nutritional Risk Index (GNRI) and prognostic nutritional index (PNI) by ROC analysis. RESULTS 81% of hospitalized patients with an AOVF were malnourished at the time of admission. The CONUT-high group had a significantly higher rate of decline in ambulatory ability (P < 0.001) than the CONUT-low group. Logistic regression analysis revealed the CONUT score ( ≥ 4) as an independent risk factor for a decline in ambulatory ability (OR 3.44, 95% CI 1.61-7.37, P = 0.0014). ROC analysis showed that the area under the curve (AUC) for the CONUT score (AUC = 0.724) was significantly greater than that for the GNRI (AUC = 0.624, P = 0.021) and PNI (AUC = 0.636, P = 0.0008). CONCLUSIONS This study showed that 81% of hospitalized elderly patients with AOVFs were malnourished and that the CONUT score was a useful predictive factor of functional prognosis.
Collapse
Affiliation(s)
- Tetsuto Yamaura
- Department of Orthopaedic Surgery, JCHO Osaka Minato Central Hospital, Osaka, Japan ,grid.272264.70000 0000 9142 153XDepartment of Orthopaedic Surgery, Hyogo Medical University, 1-1 mukogawa-cho, Nishinomiya, Hyogo Japan
| | - Fumihiro Arizumi
- grid.272264.70000 0000 9142 153XDepartment of Orthopaedic Surgery, Hyogo Medical University, 1-1 mukogawa-cho, Nishinomiya, Hyogo Japan
| | - Keishi Maruo
- grid.272264.70000 0000 9142 153XDepartment of Orthopaedic Surgery, Hyogo Medical University, 1-1 mukogawa-cho, Nishinomiya, Hyogo Japan
| | - Kazuya Kishima
- grid.272264.70000 0000 9142 153XDepartment of Orthopaedic Surgery, Hyogo Medical University, 1-1 mukogawa-cho, Nishinomiya, Hyogo Japan
| | - Norichika Yoshie
- grid.272264.70000 0000 9142 153XDepartment of Orthopaedic Surgery, Hyogo Medical University, 1-1 mukogawa-cho, Nishinomiya, Hyogo Japan
| | - Tomoyuki Kusukawa
- grid.272264.70000 0000 9142 153XDepartment of Orthopaedic Surgery, Hyogo Medical University, 1-1 mukogawa-cho, Nishinomiya, Hyogo Japan
| | - Fumiaki Imamura
- Department of Orthopaedic Surgery, JCHO Osaka Minato Central Hospital, Osaka, Japan
| | - Toshiya Tachibana
- grid.272264.70000 0000 9142 153XDepartment of Orthopaedic Surgery, Hyogo Medical University, 1-1 mukogawa-cho, Nishinomiya, Hyogo Japan
| |
Collapse
|
16
|
Abstract
Sinonasal diseases, such as rhinosinusitis, affect up to 12% of individuals each year which constitutes these diseases as some of the most common medical conditions in the world. Exposure to environmental pathogens and toxicants via the nasal cavity can result in a severe inflammatory state commonly observed in these conditions. It is well understood that the epithelial and neuronal cells lining the olfactory mucosa, including olfactory sensory neurons (OSNs), are significantly damaged in these diseases. Prolonged inflammation of the nasal cavity may also lead to hyposmia or anosmia. Although various environmental agents induce inflammation in different ways via distinct cellular and molecular interactions, nasal inflammation has similar consequences on the structure and homeostatic function of the olfactory bulb (OB) which is the first relay center for olfactory information in the brain. Atrophy of the OB occurs via thinning of the superficial OB layers including the olfactory nerve layer, glomerular layer, and superficial external plexiform layer. Intrabulbar circuits of the OB which include connectivity between OB projection neurons, OSNs, and interneurons become significantly dysregulated in which synaptic pruning and dendritic retraction take place. Furthermore, glial cells and other immune cells become hyperactivated and induce a state of inflammation in the OB which results in upregulated cytokine production. Moreover, many of these features of nasal inflammation are present in the case of SARS-CoV-2 infection. This review summarizes the impact of nasal inflammation on the morphological and physiological features of the rodent OB.
Collapse
Affiliation(s)
- Brandon J. LaFever
- grid.240473.60000 0004 0543 9901Department of Pharmacology, Penn State College of Medicine, 500 University Dr., Hershey, PA 17033 USA
| | - Fumiaki Imamura
- grid.240473.60000 0004 0543 9901Department of Pharmacology, Penn State College of Medicine, 500 University Dr., Hershey, PA 17033 USA
| |
Collapse
|
17
|
Vissers LET, Sluijs I, Burgess S, Forouhi NG, Freisling H, Imamura F, Nilsson TK, Renström F, Weiderpass E, Aleksandrova K, Dahm CC, Perez-Cornago A, Schulze MB, Tong TYN, Aune D, Bonet C, Boer JMA, Boeing H, Chirlaque MD, Conchi MI, Imaz L, Jäger S, Krogh V, Kyrø C, Masala G, Melander O, Overvad K, Panico S, Sánches MJ, Sonestedt E, Tjønneland A, Tzoulaki I, Verschuren WMM, Riboli E, Wareham NJ, Danesh J, Butterworth AS, van der Schouw YT. Milk intake and incident stroke and CHD in populations of European descent: a Mendelian randomisation study. Br J Nutr 2022; 128:1789-1797. [PMID: 34670632 PMCID: PMC9592953 DOI: 10.1017/s0007114521004244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 07/01/2021] [Accepted: 09/22/2021] [Indexed: 12/29/2022]
Abstract
Higher milk intake has been associated with a lower stroke risk, but not with risk of CHD. Residual confounding or reverse causation cannot be excluded. Therefore, we estimated the causal association of milk consumption with stroke and CHD risk through instrumental variable (IV) and gene-outcome analyses. IV analysis included 29 328 participants (4611 stroke; 9828 CHD) of the European Prospective Investigation into Cancer and Nutrition (EPIC)-CVD (eight European countries) and European Prospective Investigation into Cancer and Nutrition-Netherlands (EPIC-NL) case-cohort studies. rs4988235, a lactase persistence (LP) SNP which enables digestion of lactose in adulthood was used as genetic instrument. Intake of milk was first regressed on rs4988235 in a linear regression model. Next, associations of genetically predicted milk consumption with stroke and CHD were estimated using Prentice-weighted Cox regression. Gene-outcome analysis included 777 024 participants (50 804 cases) from MEGASTROKE (including EPIC-CVD), UK Biobank and EPIC-NL for stroke, and 483 966 participants (61 612 cases) from CARDIoGRAM, UK Biobank, EPIC-CVD and EPIC-NL for CHD. In IV analyses, each additional LP allele was associated with a higher intake of milk in EPIC-CVD (β = 13·7 g/d; 95 % CI 8·4, 19·1) and EPIC-NL (36·8 g/d; 95 % CI 20·0, 53·5). Genetically predicted milk intake was not associated with stroke (HR per 25 g/d 1·05; 95 % CI 0·94, 1·16) or CHD (1·02; 95 % CI 0·96, 1·08). In gene-outcome analyses, there was no association of rs4988235 with risk of stroke (OR 1·02; 95 % CI 0·99, 1·05) or CHD (OR 0·99; 95 % CI 0·95, 1·03). Current Mendelian randomisation analysis does not provide evidence for a causal inverse relationship between milk consumption and stroke or CHD risk.
Collapse
Affiliation(s)
- L. E. T. Vissers
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - I. Sluijs
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - S. Burgess
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - N. G. Forouhi
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - H. Freisling
- International Agency for Research on Cancer, Lyon, France
| | - F. Imamura
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - T. K. Nilsson
- Department of Medical Biosciences/Clinical Chemistry, Umeå University, Umeå, Sweden
| | - F. Renström
- Department of Biobank Research, Umeå University, Umeå, Sweden
- Division of Endocrinology and Diabetes, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - E. Weiderpass
- International Agency for Research on Cancer, Lyon, France
| | - K. Aleksandrova
- Germany Institute of Nutritional Sciences, University of Potsdam, Nuthetal, Germany
| | - C. C. Dahm
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - A. Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - M. B. Schulze
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Germany Institute of Nutritional Sciences, University of Potsdam, Nuthetal, Germany
| | - T. Y. N. Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - D. Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Nutrition, Bjørknes University College, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - C. Bonet
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain
| | - J. M. A. Boer
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - H. Boeing
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - M. D. Chirlaque
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Murcia, Spain
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - M. I. Conchi
- Navarra Public Health Institute – IdiSNA, Pamplona, Spain
- Research Network on Health Services in Chronic Diseases (REDISSEC), Pamplona, Spain
| | - L. Imaz
- Ministry of Health of the Basque Government, Public Health Division of Gipuzkoa, Donostia-San Sebastian, Spain
- Biodonostia Health Research Institute, Donostia-San Sebastian, Spain
| | - S. Jäger
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - V. Krogh
- Epidemiology and prevention Unit, Fondazione IRCCS Instituto Nazionale dei Tumori, Milano, Italy
| | - C. Kyrø
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - G. Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network – ISPRO, Florence, Italy
| | - O. Melander
- Lund University, Department of Clinical Sciences, Malmö, Sweden
| | - K. Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - S. Panico
- Dipartemento di medicina clinica e chirurgia, Federico II University, Naples, Italy
| | - M. J. Sánches
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Andalusian School of Public Health (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria de Granada, Granada, Spain
- Universidad de Granada, Granada, Spain
| | - E. Sonestedt
- Lund University, Department of Clinical Sciences, Malmö, Sweden
| | - A. Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - I. Tzoulaki
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - W. M. M. Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - E. Riboli
- School of Public Health, Imperial College London, UK
| | - N. J. Wareham
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - J. Danesh
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - A. S. Butterworth
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Y. T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| |
Collapse
|
18
|
Kashiwadani H, Heinbockel T, Imamura F, Yamaguchi M, Koyama S, Kondo K. Editorial: Physiology and pathophysiology of the olfactory system. Front Neural Circuits 2022; 16:1025087. [PMID: 36389178 PMCID: PMC9641585 DOI: 10.3389/fncir.2022.1025087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 10/13/2022] [Indexed: 11/30/2022] Open
Affiliation(s)
- Hideki Kashiwadani
- Department of Physiology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
- *Correspondence: Hideki Kashiwadani
| | - Thomas Heinbockel
- Department of Anatomy, Howard University College of Medicine, Washington, DC, United States
| | - Fumiaki Imamura
- Department of Pharmacology, Penn State College of Medicine, Hershey, PA, United States
| | - Masahiro Yamaguchi
- Department of Physiology, Graduate School of Medicine, Kochi University, Kochi, Japan
| | - Sachiko Koyama
- Department of Chemistry, Indiana University, Bloomington, IN, United States
| | - Kenji Kondo
- Department of Otolaryngology-Head and Neck Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| |
Collapse
|
19
|
Li C, Imamura F, Wedekind R, Stewart ID, Pietzner M, Wheeler E, Forouhi NG, Langenberg C, Scalbert A, Wareham NJ. Development and validation of a metabolite score for red meat intake: an observational cohort study and randomized controlled dietary intervention. Am J Clin Nutr 2022; 116:511-522. [PMID: 35754192 PMCID: PMC9348983 DOI: 10.1093/ajcn/nqac094] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 04/04/2022] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Self-reported meat consumption is associated with disease risk but objective assessment of different dimensions of this heterogeneous dietary exposure in observational and interventional studies remains challenging. OBJECTIVES We aimed to derive and validate scores based on plasma metabolites for types of meat consumption. For the most predictive score, we aimed to test whether the included metabolites varied with change in meat consumption, and whether the score was associated with incidence of type 2 diabetes (T2D) and other noncommunicable diseases. METHODS We derived scores based on 781 plasma metabolites for red meat, processed meat, and poultry consumption assessed with 7-d food records among 11,432 participants in the EPIC-Norfolk (European Prospective Investigation into Cancer and Nutrition-Norfolk) cohort. The scores were then tested for internal validity in an independent subset (n = 853) of the same cohort. In focused analysis on the red meat metabolite score, we examined whether the metabolites constituting the score were also associated with meat intake in a randomized crossover dietary intervention trial of meat (n = 12, Lyon, France). In the EPIC-Norfolk study, we assessed the association of the red meat metabolite score with T2D incidence (n = 1478) and other health endpoints. RESULTS The best-performing score was for red meat, comprising 139 metabolites which accounted for 17% of the explained variance of red meat consumption in the validation set. In the intervention, 11 top-ranked metabolites in the red meat metabolite score increased significantly after red meat consumption. In the EPIC-Norfolk study, the red meat metabolite score was associated with T2D incidence (adjusted HR per SD: 1.17; 95% CI: 1.10, 1.24). CONCLUSIONS The red meat metabolite score derived and validated in this study contains metabolites directly derived from meat consumption and is associated with T2D risk. These findings suggest the potential for objective assessment of dietary components and their application for understanding diet-disease associations.The trial in Lyon, France, was registered at clinicaltrials.gov as NCT03354130.
Collapse
Affiliation(s)
- Chunxiao Li
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Fumiaki Imamura
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Roland Wedekind
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Isobel D Stewart
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Maik Pietzner
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Computational Medicine, Berlin Institute of Health at Charité–Universitätsmedizin Berlin, Berlin, Germany
| | - Eleanor Wheeler
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Claudia Langenberg
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Computational Medicine, Berlin Institute of Health at Charité–Universitätsmedizin Berlin, Berlin, Germany
| | - Augustin Scalbert
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Nicholas J Wareham
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| |
Collapse
|
20
|
Mba CM, Koulman A, Forouhi NG, Sharp SJ, Imamura F, Jones K, Meadows SR, Assah F, Mbanya JC, Wareham NJ. Association between circulating 25-hydroxyvitamin D and cardiometabolic risk factors in adults in rural and urban settings. Nutr Diabetes 2022; 12:34. [PMID: 35906229 PMCID: PMC9338254 DOI: 10.1038/s41387-022-00215-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 07/04/2022] [Accepted: 07/15/2022] [Indexed: 11/09/2022] Open
Abstract
Background An inverse association between vitamin D status and cardiometabolic risk has been reported but this relationship may have been affected by residual confounding from adiposity and physical activity due to imprecise measures of these variables. We aimed to investigate the relationship between serum 25-hydroxyvitamin D (25(OH)D) and cardiometabolic risk factors, with adjustment for objectively-measured physical activity and adiposity. Methods This was a population-based cross-sectional study in 586 adults in Cameroon (63.5% women). We assessed markers of glucose homoeostasis (fasting blood glucose (BG), 2 h post glucose load BG, HOMA-IR)) and computed a metabolic syndrome score by summing the sex‐specific z‐scores of five risk components measuring central adiposity, blood pressure, glucose, HDL cholesterol and triglycerides. Results Mean±SD age was 38.3 ± 8.6 years, and serum 25(OH)D was 51.7 ± 12.5 nmol/L. Mean 25(OH)D was higher in rural (53.4 ± 12.8 nmol/L) than urban residents (50.2 ± 12.1 nmol/L), p = 0.002. The prevalence of vitamin D insufficiency (<50 nmol/L) was 45.7%. There was an inverse association between 25(OH)D and the metabolic syndrome score in unadjusted analyses (β = −0.30, 95% CI −0.55 to −0.05), which became non-significant after adjusting for age, sex, smoking status, alcohol intake and education level. Serum 25(OH)D was inversely associated with fasting BG (−0.21, −0.34 to −0.08)), which remained significant after adjustment for age, sex, education, smoking, alcohol intake, the season of data collection, BMI and physical activity (−0.17, −0.29 to −0.06). There was an inverse association of 25(OH)D with 2-h BG (−0.20, −0.34 to −0.05) and HOMA-IR (−0.12, −0.19 to −0.04) in unadjusted analysis, but these associations became non-significant after adjustment for potential confounders. Conclusion Vitamin D insufficiency was common in this population. This study showed an inverse association between vitamin D status and fasting glucose that was independent of potential confounders, including objectively measured physical activity and adiposity, suggesting a possible mechanism through insulin secretion.
Collapse
Affiliation(s)
- Camille M Mba
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom. .,Department of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon.
| | - Albert Koulman
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.,National Institute for Health Research Biomedical Research Centre Nutritional Biomarker Laboratory, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Stephen J Sharp
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Kerry Jones
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.,National Institute for Health Research Biomedical Research Centre Nutritional Biomarker Laboratory, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Sarah R Meadows
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.,National Institute for Health Research Biomedical Research Centre Nutritional Biomarker Laboratory, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Felix Assah
- Department of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon
| | - Jean Claude Mbanya
- Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon
| | - Nick J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| |
Collapse
|
21
|
Pirastu N, McDonnell C, Grzeszkowiak EJ, Mounier N, Imamura F, Merino J, Day FR, Zheng J, Taba N, Concas MP, Repetto L, Kentistou KA, Robino A, Esko T, Joshi PK, Fischer K, Ong KK, Gaunt TR, Kutalik Z, Perry JRB, Wilson JF. Using genetic variation to disentangle the complex relationship between food intake and health outcomes. PLoS Genet 2022; 18:e1010162. [PMID: 35653391 PMCID: PMC9162356 DOI: 10.1371/journal.pgen.1010162] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 03/22/2022] [Indexed: 02/02/2023] Open
Abstract
Diet is considered as one of the most important modifiable factors influencing human health, but efforts to identify foods or dietary patterns associated with health outcomes often suffer from biases, confounding, and reverse causation. Applying Mendelian randomization in this context may provide evidence to strengthen causality in nutrition research. To this end, we first identified 283 genetic markers associated with dietary intake in 445,779 UK Biobank participants. We then converted these associations into direct genetic effects on food exposures by adjusting them for effects mediated via other traits. The SNPs which did not show evidence of mediation were then used for MR, assessing the association between genetically predicted food choices and other risk factors, health outcomes. We show that using all associated SNPs without omitting those which show evidence of mediation, leads to biases in downstream analyses (genetic correlations, causal inference), similar to those present in observational studies. However, MR analyses using SNPs which have only a direct effect on the exposure on food exposures provided unequivocal evidence of causal associations between specific eating patterns and obesity, blood lipid status, and several other risk factors and health outcomes.
Collapse
Affiliation(s)
- Nicola Pirastu
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
- Human Technopole, Milan, Italy
- * E-mail:
| | - Ciara McDonnell
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
- Centre for Cardiovascular Sciences, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Eryk J. Grzeszkowiak
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Ninon Mounier
- Centre for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Fumiaki Imamura
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Jordi Merino
- Diabetes Unit and Centre for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Felix R. Day
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Jie Zheng
- MRC Integrative Epidemiology Unit, Bristol Medical School, Bristol, United Kingdom
| | - Nele Taba
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
- Institute for Maternal and Child Health—IRCCS “Burlo Garofolo”, Trieste, Italy
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Maria Pina Concas
- Institute for Maternal and Child Health—IRCCS “Burlo Garofolo”, Trieste, Italy
| | - Linda Repetto
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Katherine A. Kentistou
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
- Centre for Cardiovascular Sciences, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Antonietta Robino
- Institute for Maternal and Child Health—IRCCS “Burlo Garofolo”, Trieste, Italy
| | - Tõnu Esko
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Peter K. Joshi
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Krista Fischer
- Institute of Mathematics and Statistics, University of Tartu, Tartu, Estonia
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Ken K. Ong
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Tom R. Gaunt
- MRC Integrative Epidemiology Unit, Bristol Medical School, Bristol, United Kingdom
| | - Zoltán Kutalik
- Centre for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - John R. B. Perry
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - James F. Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| |
Collapse
|
22
|
LaFever BJ, Kawasawa YI, Ito A, Imamura F. Pathological consequences of chronic olfactory inflammation on neurite morphology of olfactory bulb projection neurons. Brain Behav Immun Health 2022; 21:100451. [PMID: 35360408 PMCID: PMC8960895 DOI: 10.1016/j.bbih.2022.100451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 03/10/2022] [Accepted: 03/12/2022] [Indexed: 11/22/2022] Open
Abstract
Chronic olfactory inflammation (COI) in conditions such as chronic rhinosinusitis significantly impairs the functional and anatomical components of the olfactory system. COI induced by intranasal administration of lipopolysaccharide (LPS) results in atrophy, gliosis, and pro-inflammatory cytokine production in the olfactory bulb (OB). Although chronic rhinosinusitis patients have smaller OBs, the consequences of olfactory inflammation on OB neurons are largely unknown. In this study, we investigated the neurological consequences of COI on OB projection neurons, mitral cells (MCs) and tufted cells (TCs). To induce COI, we performed unilateral intranasal administration of LPS to mice for 4 and 10 weeks. Effects of COI on the OB were examined using RNA-sequencing approaches and immunohistochemical analyses. We found that repeated LPS administration upregulated immune-related biological pathways in the OB after 4 weeks. We also determined that the length of TC lateral dendrites in the OB significantly decreased after 10 weeks of COI. The axon initial segment of TCs decreased in number and in length after 10 weeks of COI. The lateral dendrites and axon initial segments of MCs, however, were largely unaffected. In addition, dendritic arborization and AIS reconstruction both took place following a 10-week recovery period. Our findings suggest that olfactory inflammation specifically affects TCs and their integrated circuitry, whereas MCs are potentially protected from this condition. This data demonstrates unique characteristics of the OBs ability to undergo neuroplastic changes in response to stress. Early-stage chronic olfactory inflammation activates the interferon-γ-driven inflammatory pathways in the olfactory bulb. Tufted cells undergo neurite dysregulation in response to chronic olfactory inflammation. Mitral cells and interneurons in the external plexiform layer are largely unaffected by chronic olfactory inflammation. Tufted cells experience complete recovery from neurite dysregulation following a period of ceased inflammation
Collapse
Affiliation(s)
- Brandon J. LaFever
- Department of Pharmacology, Penn State College of Medicine, 500 University Dr., Hershey, PA, 17033, USA
| | - Yuka Imamura Kawasawa
- Department of Pharmacology, Penn State College of Medicine, 500 University Dr., Hershey, PA, 17033, USA
- Department of Biochemistry and Molecular Biology, Penn State College of Medicine, 500 University Dr., Hershey, PA, 17033, USA
- Institute for Personalized Medicine, Penn State College of Medicine, 500 University Dr., Hershey, PA, 17033, USA
| | - Ayako Ito
- Department of Pharmacology, Penn State College of Medicine, 500 University Dr., Hershey, PA, 17033, USA
| | - Fumiaki Imamura
- Department of Pharmacology, Penn State College of Medicine, 500 University Dr., Hershey, PA, 17033, USA
- Corresponding author. Department of Pharmacology, Penn State College of Medicine, 500 University Drive, Hershey, PA, 17033, USA.
| |
Collapse
|
23
|
Kishimoto-Urata M, Urata S, Kagoya R, Imamura F, Nagayama S, Reyna RA, Maruyama J, Yamasoba T, Kondo K, Hasegawa-Ishii S, Paessler S. Prolonged and extended impacts of SARS-CoV-2 on the olfactory neurocircuit. Sci Rep 2022; 12:5728. [PMID: 35388072 PMCID: PMC8987081 DOI: 10.1038/s41598-022-09731-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 03/21/2022] [Indexed: 12/27/2022] Open
Abstract
The impact of SARS-CoV-2 on the olfactory pathway was studied over several time points using Syrian golden hamsters. We found an incomplete recovery of the olfactory sensory neurons, prolonged activation of glial cells in the olfactory bulb, and a decrease in the density of dendritic spines within the hippocampus. These data may be useful for elucidating the mechanism underlying long-lasting olfactory dysfunction and cognitive impairment as a post-acute COVID-19 syndrome.
Collapse
Affiliation(s)
- Megumi Kishimoto-Urata
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, USA
- Department of Otolaryngology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Shinji Urata
- Department of Otolaryngology, University of Texas Medical Branch, Galveston, TX, USA
- Department of Otolaryngology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Ryoji Kagoya
- Department of Otolaryngology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Fumiaki Imamura
- Department of Pharmacology, Penn State College of Medicine, Hershey, PA, USA
| | - Shin Nagayama
- Department of Neurobiology and Anatomy, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Rachel A Reyna
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, USA
| | - Junki Maruyama
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, USA
| | - Tatsuya Yamasoba
- Department of Otolaryngology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kenji Kondo
- Department of Otolaryngology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | | | - Slobodan Paessler
- Department of Otolaryngology, University of Texas Medical Branch, Galveston, TX, USA.
| |
Collapse
|
24
|
Lai HT, Imamura F, Korat AVA, Murphy RA, Tintle N, Bassett JK, Chen J, Kröger J, Chien KL, Senn M, Wood AC, Forouhi NG, Schulze MB, Harris WS, Vasan RS, Hu F, Giles GG, Hodge A, Djousse L, Brouwer IA, Qian F, Sun Q, Wu JH, Marklund M, Lemaitre RN, Siscovick DS, Fretts AM, Shadyab AH, Manson JE, Howard BV, Robinson JG, Wallace RB, Wareham NJ, Chen YDI, Rotter JI, Tsai MY, Micha R, Mozaffarian D. Trans Fatty Acid Biomarkers and Incident Type 2 Diabetes: Pooled Analysis of 12 Prospective Cohort Studies in the Fatty Acids and Outcomes Research Consortium (FORCE). Diabetes Care 2022; 45:854-863. [PMID: 35142845 PMCID: PMC9114723 DOI: 10.2337/dc21-1756] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 01/10/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Trans fatty acids (TFAs) have harmful biologic effects that could increase the risk of type 2 diabetes (T2D), but evidence remains uncertain. We aimed to investigate the prospective associations of TFA biomarkers and T2D by conducting an individual participant-level pooled analysis. RESEARCH DESIGN AND METHODS We included data from an international consortium of 12 prospective cohorts and nested case-control studies from six nations. TFA biomarkers were measured in blood collected between 1990 and 2008 from 25,126 participants aged ≥18 years without prevalent diabetes. Each cohort conducted de novo harmonized analyses using a prespecified protocol, and findings were pooled using inverse-variance weighted meta-analysis. Heterogeneity was explored by prespecified between-study and within-study characteristics. RESULTS During a mean follow-up of 13.5 years, 2,843 cases of incident T2D were identified. In multivariable-adjusted pooled analyses, no significant associations with T2D were identified for trans/trans-18:2, relative risk (RR) 1.09 (95% CI 0.94-1.25); cis/trans-18:2, 0.89 (0.73-1.07); and trans/cis-18:2, 0.87 (0.73-1.03). Trans-16:1n-9, total trans-18:1, and total trans-18:2 were inversely associated with T2D (RR 0.81 [95% CI 0.67-0.99], 0.86 [0.75-0.99], and 0.84 [0.74-0.96], respectively). Findings were not significantly different according to prespecified sources of potential heterogeneity (each P ≥ 0.1). CONCLUSIONS Circulating individual trans-18:2 TFA biomarkers were not associated with risk of T2D, while trans-16:1n-9, total trans-18:1, and total trans-18:2 were inversely associated. Findings may reflect the influence of mixed TFA sources (industrial vs. natural ruminant), a general decline in TFA exposure due to policy changes during this period, or the relatively limited range of TFA levels.
Collapse
Affiliation(s)
- Heidi T.M. Lai
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
- Department of Primary Care and Public Health, Imperial College London, London, U.K
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Andres V. Ardisson Korat
- Department of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Rachel A. Murphy
- School of Population & Public Health, Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Nathan Tintle
- Department of Mathematics and Statistics, Dordt University, Sioux Center, IA
- Fatty Acid Research Institute, Sioux Falls, SD
| | - Julie K. Bassett
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Jiaying Chen
- Division of Aging, Brigham and Women's Hospital, Boston, MA
| | - Janine Kröger
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Kuo-Liong Chien
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City, Republic of China
| | - Mackenzie Senn
- U.S. Department of Agriculture/Agriculture Research Service Children’s Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX
| | - Alexis C. Wood
- U.S. Department of Agriculture/Agriculture Research Service Children’s Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX
| | - Nita G. Forouhi
- MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - William S. Harris
- Fatty Acid Research Institute, Sioux Falls, SD
- Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD
| | - Ramachandran S. Vasan
- Boston University School of Medicine, Boston, MA
- The Framingham Heart Study, Framingham, MA
| | - Frank Hu
- Department of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Graham G. Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Allison Hodge
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Luc Djousse
- Divisions of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Ingeborg A. Brouwer
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Frank Qian
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Qi Sun
- Department of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Jason H.Y. Wu
- The George Institute for Global Health, the Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Matti Marklund
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
- The George Institute for Global Health, the Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Rozenn N. Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | | | - Amanda M. Fretts
- Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
| | - Aladdin H. Shadyab
- Family Medicine and Public Health, School of Medicine, University of California, San Diego, La Jolla, CA
| | - JoAnn E. Manson
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Barbara V. Howard
- Georgetown University Medical Center, Georgetown University, Hyattsville, MD
| | | | | | - Nick J. Wareham
- MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Renata Micha
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
| | | |
Collapse
|
25
|
Steur M, Johnson L, Sharp SJ, Imamura F, Sluijs I, Key TJ, Wood A, Chowdhury R, Guevara M, Jakobsen MU, Johansson I, Koulman A, Overvad K, Sánchez M, van der Schouw YT, Trichopoulou A, Weiderpass E, Wennberg M, Zheng J, Boeing H, Boer JMA, Boutron‐Ruault M, Ericson U, Heath AK, Huybrechts I, Imaz L, Kaaks R, Krogh V, Kühn T, Kyrø C, Masala G, Melander O, Moreno‐Iribas C, Panico S, Quirós JR, Rodríguez‐Barranco M, Sacerdote C, Santiuste C, Skeie G, Tjønneland A, Tumino R, Verschuren WMM, Zamora‐Ros R, Dahm CC, Perez‐Cornago A, Schulze MB, Tong TYN, Riboli E, Wareham NJ, Danesh J, Butterworth AS, Forouhi NG. Dietary Fatty Acids, Macronutrient Substitutions, Food Sources and Incidence of Coronary Heart Disease: Findings From the EPIC-CVD Case-Cohort Study Across Nine European Countries. J Am Heart Assoc 2021; 10:e019814. [PMID: 34796724 PMCID: PMC9075396 DOI: 10.1161/jaha.120.019814] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 06/07/2021] [Indexed: 01/12/2023]
Abstract
Background There is controversy about associations between total dietary fatty acids, their classes (saturated fatty acids [SFAs], monounsaturated fatty acids, and polyunsaturated fatty acids), and risk of coronary heart disease (CHD). Specifically, the relevance of food sources of SFAs to CHD associations is uncertain. Methods and Results We conducted a case-cohort study involving 10 529 incident CHD cases and a random subcohort of 16 730 adults selected from a cohort of 385 747 participants in 9 countries of the EPIC (European Prospective Investigation into Cancer and Nutrition) study. We estimated multivariable adjusted country-specific hazard ratios (HRs) and 95% CIs per 5% of energy intake from dietary fatty acids, with and without isocaloric macronutrient substitutions, using Prentice-weighted Cox regression models and pooled results using random-effects meta-analysis. We found no evidence for associations of the consumption of total or fatty acid classes with CHD, regardless of macronutrient substitutions. In analyses considering food sources, CHD incidence was lower per 1% higher energy intake of SFAs from yogurt (HR, 0.93 [95% CI, 0.88-0.99]), cheese (HR, 0.98 [95% CI, 0.96-1.00]), and fish (HR, 0.87 [95% CI, 0.75-1.00]), but higher for SFAs from red meat (HR, 1.07 [95% CI, 1.02-1.12]) and butter (HR, 1.02 [95% CI, 1.00-1.04]). Conclusions This observational study found no strong associations of total fatty acids, SFAs, monounsaturated fatty acids, and polyunsaturated fatty acids, with incident CHD. By contrast, we found associations of SFAs with CHD in opposite directions dependent on the food source. These findings should be further confirmed, but support public health recommendations to consider food sources alongside the macronutrients they contain, and suggest the importance of the overall food matrix.
Collapse
|
26
|
Ito A, Imamura F. Expression of Maf family proteins in glutamatergic neurons of the mouse olfactory bulb. Dev Neurobiol 2021; 82:77-87. [PMID: 34679244 DOI: 10.1002/dneu.22859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 10/11/2021] [Accepted: 10/14/2021] [Indexed: 11/09/2022]
Abstract
The fate of neurons in the developing brain is largely determined by the combination of transcription factors they express. In particular, stem cells must follow different transcriptional cascades during differentiation in order to generate neurons with different neurotransmitter properties, such as glutamatergic and GABAergic neurons. In the mouse cerebral cortex, it has been shown that large Maf family proteins, MafA, MafB and c-Maf, regulate the development of specific types of GABAergic interneurons but are not expressed in glutamatergic neurons. In this study, we examined the expression of large Maf family proteins in the developing mouse olfactory bulb (OB) by immunohistochemistry and found that the cell populations expressing MafA and MafB are almost identical, and most of them express Tbr2. As Tbr2 is expressed in glutamatergic neurons in the OB, we further examined the expression of glutamatergic and GABAergic neuronal markers in MafA and MafB positive cells. The results showed that in the OB, MafA and MafB are expressed exclusively in glutamatergic neurons, but not in GABAergic neurons. We also found that few cells express c-Maf in the OB. These results indicate that, unlike the cerebral cortex, MafA and/or MafB may regulate the development of glutamatergic neurons in the developing OB. This study advances our knowledge about the development of glutamatergic neurons in the olfactory bulb, and also might suggest that mechanisms for the generation of projection neurons and interneurons differ between the cortex and the olfactory bulb, even though they both develop from the telencephalon.
Collapse
Affiliation(s)
- Ayako Ito
- Department of Pharmacology, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Fumiaki Imamura
- Department of Pharmacology, Penn State College of Medicine, Hershey, Pennsylvania, USA
| |
Collapse
|
27
|
Haslam DE, Peloso GM, Guirette M, Imamura F, Bartz TM, Pitsillides AN, Wang CA, Li-Gao R, Westra JM, Pitkänen N, Young KL, Graff M, Wood AC, Braun KVE, Luan J, Kähönen M, Kiefte-de Jong JC, Ghanbari M, Tintle N, Lemaitre RN, Mook-Kanamori DO, North K, Helminen M, Mossavar-Rahmani Y, Snetselaar L, Martin LW, Viikari JS, Oddy WH, Pennell CE, Rosendall FR, Ikram MA, Uitterlinden AG, Psaty BM, Mozaffarian D, Rotter JI, Taylor KD, Lehtimäki T, Raitakari OT, Livingston KA, Voortman T, Forouhi NG, Wareham NJ, de Mutsert R, Rich SS, Manson JE, Mora S, Ridker PM, Merino J, Meigs JB, Dashti HS, Chasman DI, Lichtenstein AH, Smith CE, Dupuis J, Herman MA, McKeown NM. Sugar-Sweetened Beverage Consumption May Modify Associations Between Genetic Variants in the CHREBP (Carbohydrate Responsive Element Binding Protein) Locus and HDL-C (High-Density Lipoprotein Cholesterol) and Triglyceride Concentrations. Circ Genom Precis Med 2021; 14:e003288. [PMID: 34270325 PMCID: PMC8373451 DOI: 10.1161/circgen.120.003288] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Supplemental Digital Content is available in the text. Background: ChREBP (carbohydrate responsive element binding protein) is a transcription factor that responds to sugar consumption. Sugar-sweetened beverage (SSB) consumption and genetic variants in the CHREBP locus have separately been linked to HDL-C (high-density lipoprotein cholesterol) and triglyceride concentrations. We hypothesized that SSB consumption would modify the association between genetic variants in the CHREBP locus and dyslipidemia. Methods: Data from 11 cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (N=63 599) and the UK Biobank (N=59 220) were used to quantify associations of SSB consumption, genetic variants, and their interaction on HDL-C and triglyceride concentrations using linear regression models. A total of 1606 single nucleotide polymorphisms within or near CHREBP were considered. SSB consumption was estimated from validated questionnaires, and participants were grouped by their estimated intake. Results: In a meta-analysis, rs71556729 was significantly associated with higher HDL-C concentrations only among the highest SSB consumers (β, 2.12 [95% CI, 1.16–3.07] mg/dL per allele; P<0.0001), but not significantly among the lowest SSB consumers (P=0.81; PDiff <0.0001). Similar results were observed for 2 additional variants (rs35709627 and rs71556736). For triglyceride, rs55673514 was positively associated with triglyceride concentrations only among the highest SSB consumers (β, 0.06 [95% CI, 0.02–0.09] ln-mg/dL per allele, P=0.001) but not the lowest SSB consumers (P=0.84; PDiff=0.0005). Conclusions: Our results identified genetic variants in the CHREBP locus that may protect against SSB-associated reductions in HDL-C and other variants that may exacerbate SSB-associated increases in triglyceride concentrations. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT00005133, NCT00005121, NCT00005487, and NCT00000479.
Collapse
Affiliation(s)
- Danielle E Haslam
- Nutritional Epidemiology Program (D.E.H., M. Guirette, K.A.L., N.M.M.), Tufts University, Boston, MA.,Channing Division of Network Medicine (D.E.H., J.E.M.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Department of Nutrition (D.E.H.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Gina M Peloso
- Department of Biostatistics, Boston University School of Public Health, MA (G.M.P., A.N.P., J.D.)
| | - Melanie Guirette
- Nutritional Epidemiology Program (D.E.H., M. Guirette, K.A.L., N.M.M.), Tufts University, Boston, MA
| | - Fumiaki Imamura
- Medical Research Council Epidemiology Unit, University of Cambridge, United Kingdom (F.I., J.L., N.G.F., N.J.W.)
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Departments of Biostatistics (T.M.B.), University of Washington, Seattle.,Department of Medicine (T.M.B., R.N.L., B.M.P.), University of Washington, Seattle
| | - Achilleas N Pitsillides
- Department of Biostatistics, Boston University School of Public Health, MA (G.M.P., A.N.P., J.D.)
| | - Carol A Wang
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, NSW, Australia (C.A.W., C.E.P.)
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology (R.L.G., D.O.M.-K., F.R.R., R.dM.), Leiden University Medical Center, the Netherlands
| | | | - Niina Pitkänen
- Auria Biobank (N.P.), University of Turku, Finland.,Research Centre of Applied and Preventive Cardiovascular Medicine (N.P., O.T.R.), University of Turku, Finland
| | - Kristin L Young
- Department of Epidemiology, Gillings School of Global Public Health (K.L.Y., M. Graff, K.N.), University of North Carolina, Chapel Hill
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Global Public Health (K.L.Y., M. Graff, K.N.), University of North Carolina, Chapel Hill
| | - Alexis C Wood
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX (A.C.W.)
| | - Kim V E Braun
- Department of Epidemiology (K.V.E.B., J.C.K.-d.J., M. Ghanbari, M.A.I.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Jian'an Luan
- Medical Research Council Epidemiology Unit, University of Cambridge, United Kingdom (F.I., J.L., N.G.F., N.J.W.)
| | - Mika Kähönen
- Department of Clinical Physiology (M.K.), Tampere University Hospital, Finland.,Department of Clinical Physiology (M.K.), Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Finland
| | - Jessica C Kiefte-de Jong
- Department of Public Health and Primary Care (J.C.L.d.J., D.O.M.-K.), Leiden University Medical Center, the Netherlands.,Department of Epidemiology (K.V.E.B., J.C.K.-d.J., M. Ghanbari, M.A.I.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology (K.V.E.B., J.C.K.-d.J., M. Ghanbari, M.A.I.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | | | - Rozenn N Lemaitre
- Department of Medicine (T.M.B., R.N.L., B.M.P.), University of Washington, Seattle
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology (R.L.G., D.O.M.-K., F.R.R., R.dM.), Leiden University Medical Center, the Netherlands.,Department of Public Health and Primary Care (J.C.L.d.J., D.O.M.-K.), Leiden University Medical Center, the Netherlands
| | - Kari North
- Department of Epidemiology, Gillings School of Global Public Health (K.L.Y., M. Graff, K.N.), University of North Carolina, Chapel Hill.,Carolina Center for Genome Science (K.N.), University of North Carolina, Chapel Hill
| | - Mika Helminen
- Research Development and Innovation Centre (M.H.), Tampere University Hospital, Finland.,Faculty of Social Sciences, Health Sciences, Tampere University, Finland (M.H.)
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY (Y.M.-R.)
| | - Linda Snetselaar
- Department of Epidemiology, University of Iowa, Iowa City (L.S.)
| | - Lisa W Martin
- George Washington University School of Medicine and Health Sciences, Washington, D.C. (L.W.M.)
| | - Jorma S Viikari
- Department of Medicine (J.S.V.), University of Turku, Finland.,Division of Medicine (J.S.V.), Turku University Hospital, Finland
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, HOB, Australia (W.H.O.)
| | - Craig E Pennell
- Nutrition and Genomics Laboratory (C.E.S.), Tufts University, Boston, MA.,School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, NSW, Australia (C.A.W., C.E.P.)
| | - Frits R Rosendall
- Department of Clinical Epidemiology (R.L.G., D.O.M.-K., F.R.R., R.dM.), Leiden University Medical Center, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology (K.V.E.B., J.C.K.-d.J., M. Ghanbari, M.A.I.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Andre G Uitterlinden
- Department of Internal Medicine (A.G.U.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Bruce M Psaty
- Department of Medicine (T.M.B., R.N.L., B.M.P.), University of Washington, Seattle.,Departments of Epidemiology and Health Services (B.M.P.), University of Washington, Seattle.,Kaiser Permanente Washington Health Research Institute, Seattle, WA (B.M.P.)
| | - Dariush Mozaffarian
- Jean Mayer U.S. Department of Agriculture Human Nutrition Research Center on Aging, and Friedman School of Nutrition Science and Policy (D.M.), Tufts University, Boston, MA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA (J.I.R., K.D.T.)
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA (J.I.R., K.D.T.)
| | - Terho Lehtimäki
- Department of Clinical Chemistry (T.L.), Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Finland.,Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland (T.L.)
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine (N.P., O.T.R.), University of Turku, Finland.,Centre for Population Health Research (O.T.R.), University of Turku, Finland.,Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Finland
| | - Kara A Livingston
- Nutritional Epidemiology Program (D.E.H., M. Guirette, K.A.L., N.M.M.), Tufts University, Boston, MA
| | | | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, University of Cambridge, United Kingdom (F.I., J.L., N.G.F., N.J.W.)
| | - Nick J Wareham
- Medical Research Council Epidemiology Unit, University of Cambridge, United Kingdom (F.I., J.L., N.G.F., N.J.W.)
| | - Renée de Mutsert
- Department of Clinical Epidemiology (R.L.G., D.O.M.-K., F.R.R., R.dM.), Leiden University Medical Center, the Netherlands
| | - Steven S Rich
- Center for Public Health Genomics and Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville (S.S.R.)
| | - JoAnn E Manson
- Channing Division of Network Medicine (D.E.H., J.E.M.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Division of Preventive Medicine (J.E.M., S.M., P.M.R., D.I.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Department of Epidemiology (J.E.M.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Samia Mora
- Division of Preventive Medicine (J.E.M., S.M., P.M.R., D.I.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Cardiovascular Division of Medicine and Center for Lipid Metabolomics (S.M., P.M.R.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Paul M Ridker
- Division of Preventive Medicine (J.E.M., S.M., P.M.R., D.I.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Cardiovascular Division of Medicine and Center for Lipid Metabolomics (S.M., P.M.R.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Jordi Merino
- Program in Medical and Population Genetics (J.M., J.B.M., H.S.D.), Broad Institute of MIT and Harvard, Cambridge, MA.,Program in Metabolism (J.M., J.B.M.), Broad Institute of MIT and Harvard, Cambridge, MA.,Department of Medicine, Harvard Medical School, Boston, MA (J.M., J.B.M.).,Institut d'Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, Reus, Spain (J.M.).,Diabetes Unit and Center for Genomic Medicine (J.M., H.S.D.), Massachusetts General Hospital and Harvard Medical School, Boston
| | - James B Meigs
- Program in Medical and Population Genetics (J.M., J.B.M., H.S.D.), Broad Institute of MIT and Harvard, Cambridge, MA.,Program in Metabolism (J.M., J.B.M.), Broad Institute of MIT and Harvard, Cambridge, MA.,Department of Medicine, Harvard Medical School, Boston, MA (J.M., J.B.M.).,Division of General Internal Medicine (J.B.M.), Massachusetts General Hospital and Harvard Medical School, Boston
| | - Hassan S Dashti
- Program in Medical and Population Genetics (J.M., J.B.M., H.S.D.), Broad Institute of MIT and Harvard, Cambridge, MA.,Diabetes Unit and Center for Genomic Medicine (J.M., H.S.D.), Massachusetts General Hospital and Harvard Medical School, Boston.,Department of Anesthesia, Critical Care and Pain Medicine (H.S.D.), Massachusetts General Hospital and Harvard Medical School, Boston
| | - Daniel I Chasman
- Division of Preventive Medicine (J.E.M., S.M., P.M.R., D.I.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | | | | | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, MA (G.M.P., A.N.P., J.D.)
| | - Mark A Herman
- Division Of Endocrinology, Metabolism, and Nutrition, Department of Medicine and Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC (M.A.H.)
| | - Nicola M McKeown
- Nutritional Epidemiology Program (D.E.H., M. Guirette, K.A.L., N.M.M.), Tufts University, Boston, MA
| |
Collapse
|
28
|
Mba C, Koulman A, Sharp S, Forouhi N, Imamura F, Assah F, Mbanya JC, Wareham X. Associations of Serum Folate and Holotranscobalamin With Cardiometabolic Risk Factors in Rural and Urban Cameroon. Curr Dev Nutr 2021. [DOI: 10.1093/cdn/nzab053_051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Objectives
Previous studies mostly in Western populations suggest that a low exposure to B-vitamins (folate and vitamin B12 in particular) are associated with increased cardiometabolic disease risk. This study aimed to examine the association of blood concentrations of folate and holotranscobalamin (holoTC) with cardiometabolic risk factors in adults in Cameroon.
Methods
We conducted a cross-sectional population-based study in 497 adults. We measured serum folate and holoTC by liquid chromatography tandem mass spectrometry and “sandwich” ELISA respectively. Total folate was calculated excluding the oxidation product 5-methyltetrahydrofolate. The outcomes were individual cardiometabolic risk factors and a continuous metabolic risk score. We fitted linear regression models to examine the association between B-vitamins and cardiometabolic risk factors and estimated β-coefficients and 95% confidence intervals per standard deviation (SD) difference in each B vitamin variable.
Results
Mean age was 38.2 (SD: 8.6) years and 63.5% of the participants were women. Mean serum folate was 15.9 (SD: 10.8) nmol/L and holoTC was 74.1 (SD: 33.7) pmol/L. Rural residents had higher concentrations of serum folate but lower holoTC than urban residents. There was a significant inverse association between serum folate and the metabolic risk score (−0.22 (−0.41 to −0.03)) in a multivariable model adjusted for age, sex, education level, smoking, alcohol intake, rural/urban site and BMI. This association was attenuated to the null after further adjustments for objectively measured physical activity (PAEE) and holoTC. HoloTC was positively associated with the metabolic risk score in unadjusted analysis (0.29 (0.08 to 0.51)) but attenuated to the null after adjusting for socio-demographic characteristics. For individual risk factors, an inverse association was observed between serum folate and diastolic blood pressure, which was unaffected by adjustment for confounders including PAEE and holoTC (−1.18 (−2.16 to − 0.20)).
Conclusions
In Cameroon, serum folate and holoTC were associated with the metabolic risk score in opposite directions, partly depending on potential demographic and socioeconomic characteristics. The inverse association between serum folate and the metabolic risk score was likely driven by the blood pressure component.
Funding Sources
None.
Collapse
|
29
|
Pearce M, Fanidi A, Bishop TRP, Sharp SJ, Imamura F, Dietrich S, Akbaraly T, Bes-Rastrollo M, Beulens JWJ, Byberg L, Canhada S, Molina MDCB, Chen Z, Cortes-Valencia A, Du H, Duncan BB, Härkänen T, Hashemian M, Kim J, Kim MK, Kim Y, Knekt P, Kromhout D, Lassale C, Ridaura RL, Magliano DJ, Malekzadeh R, Marques-Vidal P, Martínez-González MÁ, O'Donoghue G, O'Gorman D, Shaw JE, Soedamah-Muthu SS, Stern D, Wolk A, Woo HW, Wareham NJ, Forouhi NG. Associations of Total Legume, Pulse, and Soy Consumption with Incident Type 2 Diabetes: Federated Meta-Analysis of 27 Studies from Diverse World Regions. J Nutr 2021; 151:1231-1240. [PMID: 33693815 PMCID: PMC8112771 DOI: 10.1093/jn/nxaa447] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 10/02/2020] [Accepted: 12/21/2020] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND The consumption of legumes is promoted as part of a healthy diet in many countries but associations of total and types of legume consumption with type 2 diabetes (T2D) are not well established. Analyses across diverse populations are lacking despite the availability of unpublished legume consumption data in prospective cohort studies. OBJECTIVE To examine the prospective associations of total and types of legume intake with the risk of incident T2D. METHODS Meta-analyses of associations between total legume, pulse, and soy consumption and T2D were conducted using a federated approach without physical data-pooling. Prospective cohorts were included if legume exposure and T2D outcome data were available and the cohort investigators agreed to participate. We estimated incidence rate ratios (IRRs) and CIs of associations using individual participant data including ≤42,473 incident cases among 807,785 adults without diabetes in 27 cohorts across the Americas, Eastern Mediterranean, Europe, and Western Pacific. Random-effects meta-analysis was used to combine effect estimates and estimate heterogeneity. RESULTS Median total legume intake ranged from 0-140 g/d across cohorts. We observed a weak positive association between total legume consumption and T2D (IRR = 1.02, 95% CI: 1.01 to 1.04) per 20 g/d higher intake, with moderately high heterogeneity (I2 = 74%). Analysis by region showed no evidence of associations in the Americas, Eastern Mediterranean, and Western Pacific. The positive association in Europe (IRR = 1.05, 95% CI: 1.01 to 1.10, I2 = 82%) was mainly driven by studies from Germany, UK, and Sweden. No evidence of associations was observed for the consumption of pulses or soy. CONCLUSIONS These findings suggest no evidence of an association of legume intakes with T2D in several world regions. The positive association observed in some European studies warrants further investigation relating to overall dietary contexts in which legumes are consumed, including accompanying foods which may be positively associated with T2D.
Collapse
Affiliation(s)
- Matthew Pearce
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, CB2 0QQ, Cambridge, United Kingdom
| | - Anouar Fanidi
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, CB2 0QQ, Cambridge, United Kingdom
| | - Tom R P Bishop
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, CB2 0QQ, Cambridge, United Kingdom
| | - Stephen J Sharp
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, CB2 0QQ, Cambridge, United Kingdom
| | - Fumiaki Imamura
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, CB2 0QQ, Cambridge, United Kingdom
| | - Stefan Dietrich
- Department of Molecular Epidemiology, German Institute of Human Nutrition, Nuthetal, Germany
| | | | - Maira Bes-Rastrollo
- Departments of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition, Instituto de Salud Carlos III, Madrid, Spain
- Navarra's Health Research Institute (IdiSNA), Pamplona, Spain
| | - Joline W J Beulens
- Department of Epidemiology & Biostatistics and the Amsterdam Public Health Institute, Amsterdam University Medical Center, HV, Amsterdam, The Netherlands
| | - Liisa Byberg
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Scheine Canhada
- Faculty of Medicine, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | | | - Zhengming Chen
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit and Epidemiological Studies Unit, University of Oxford, Oxford, United Kingdom
| | - Adrian Cortes-Valencia
- Center for Research on Population Health, National Institute of Public Health, Cuernavaca, Mexico
| | - Huaidong Du
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit and Epidemiological Studies Unit, University of Oxford, Oxford, United Kingdom
| | - Bruce B Duncan
- Faculty of Medicine, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Tommi Härkänen
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Maryam Hashemian
- Digestive Disease Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Biology Department, School of Arts and Sciences, Utica College, Utica, USA
| | - Jihye Kim
- Department of Preventive Medicine, Hanyang University, Seoul, South Korea
| | - Mi Kyung Kim
- Department of Preventive Medicine, Hanyang University, Seoul, South Korea
| | - Yeonjung Kim
- National Research Institute of Health, Centers for Disease Control and Prevention, Cheongju, South Korea
| | - Paul Knekt
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Daan Kromhout
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Camille Lassale
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
- Cardiovascular Risk and Nutrition Group, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Ruy Lopez Ridaura
- Center for Research on Population Health, National Institute of Public Health, Cuernavaca, Mexico
| | | | - Reza Malekzadeh
- Digestive Oncology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Miguel Ángel Martínez-González
- Departments of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition, Instituto de Salud Carlos III, Madrid, Spain
- Navarra's Health Research Institute (IdiSNA), Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Gráinne O'Donoghue
- School of Public Health, Physiotherapy & Sports Science, University College Dublin, Dublin, Ireland
| | - Donal O'Gorman
- School of Health & Human Performance, Dublin City University, Dublin, Ireland
| | | | - Sabita S Soedamah-Muthu
- Center of Research on Psychological and Somatic Disorders (CoRPs), Tilburg University, Tilburg, The Netherlands
- Institute for Food, Nutrition and Health, University of Reading, Reading, United Kingdom
| | - Dalia Stern
- National Council of Science and Technology (CONACyT)-Center for Research on Population Health, National Institute of Public Health, Cuernavaca, Mexico
| | - Alicja Wolk
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Hye Won Woo
- Department of Preventive Medicine, Hanyang University, Seoul, South Korea
| | | | - Nicholas J Wareham
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, CB2 0QQ, Cambridge, United Kingdom
| | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, CB2 0QQ, Cambridge, United Kingdom
| |
Collapse
|
30
|
Qian F, Ardisson Korat AV, Imamura F, Marklund M, Tintle N, Virtanen JK, Zhou X, Bassett JK, Lai H, Hirakawa Y, Chien KL, Wood AC, Lankinen M, Murphy RA, Samieri C, Pertiwi K, de Mello VD, Guan W, Forouhi NG, Wareham N, Hu ICFB, Riserus U, Lind L, Harris WS, Shadyab AH, Robinson JG, Steffen LM, Hodge A, Giles GG, Ninomiya T, Uusitupa M, Tuomilehto J, Lindström J, Laakso M, Siscovick DS, Helmer C, Geleijnse JM, Wu JHY, Fretts A, Lemaitre RN, Micha R, Mozaffarian D, Sun Q. n-3 Fatty Acid Biomarkers and Incident Type 2 Diabetes: An Individual Participant-Level Pooling Project of 20 Prospective Cohort Studies. Diabetes Care 2021; 44:1133-1142. [PMID: 33658295 PMCID: PMC8132316 DOI: 10.2337/dc20-2426] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 02/04/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Prospective associations between n-3 fatty acid biomarkers and type 2 diabetes (T2D) risk are not consistent in individual studies. We aimed to summarize the prospective associations of biomarkers of α-linolenic acid (ALA), eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), and docosahexaenoic acid (DHA) with T2D risk through an individual participant-level pooled analysis. RESEARCH DESIGN AND METHODS For our analysis we incorporated data from a global consortium of 20 prospective studies from 14 countries. We included 65,147 participants who had blood measurements of ALA, EPA, DPA, or DHA and were free of diabetes at baseline. De novo harmonized analyses were performed in each cohort following a prespecified protocol, and cohort-specific associations were pooled using inverse variance-weighted meta-analysis. RESULTS A total of 16,693 incident T2D cases were identified during follow-up (median follow-up ranging from 2.5 to 21.2 years). In pooled multivariable analysis, per interquintile range (difference between the 90th and 10th percentiles for each fatty acid), EPA, DPA, DHA, and their sum were associated with lower T2D incidence, with hazard ratios (HRs) and 95% CIs of 0.92 (0.87, 0.96), 0.79 (0.73, 0.85), 0.82 (0.76, 0.89), and 0.81 (0.75, 0.88), respectively (all P < 0.001). ALA was not associated with T2D (HR 0.97 [95% CI 0.92, 1.02]) per interquintile range. Associations were robust across prespecified subgroups as well as in sensitivity analyses. CONCLUSIONS Higher circulating biomarkers of seafood-derived n-3 fatty acids, including EPA, DPA, DHA, and their sum, were associated with lower risk of T2D in a global consortium of prospective studies. The biomarker of plant-derived ALA was not significantly associated with T2D risk.
Collapse
Affiliation(s)
- Frank Qian
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.,Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Andres V Ardisson Korat
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Matti Marklund
- Clinical Nutrition and Metabolism, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.,Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA.,The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Nathan Tintle
- Department of Mathematics and Statistics, Dordt University, Sioux Center, IA.,Fatty Acid Research Institute, Sioux Falls, SD
| | - Jyrki K Virtanen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Xia Zhou
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | | | - Heidi Lai
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA.,Imperial College London, London, U.K
| | - Yoichiro Hirakawa
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kuo-Liong Chien
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.,Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Alexis C Wood
- Children's Nutrition Research Center, U.S. Department of Agriculture/Agricultural Research Service, Houston, TX
| | - Maria Lankinen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Rachel A Murphy
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Cecilia Samieri
- INSERM, UMR 1219, Bordeaux Population Health Research Center, University of Bordeaux, Bordeaux, France
| | - Kamalita Pertiwi
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands
| | - Vanessa D de Mello
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Weihua Guan
- Division of Biostatistics, University of Minnesota, Minneapolis, MN
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Nick Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - InterAct Consortium Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Ulf Riserus
- Clinical Nutrition and Metabolism, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Clinical Nutrition and Metabolism, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.,Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - William S Harris
- Fatty Acid Research Institute, Sioux Falls, SD.,Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD
| | - Aladdin H Shadyab
- Department of Family Medicine and Public Health, University of California San Diego School of Medicine, La Jolla, CA
| | | | - Lyn M Steffen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Allison Hodge
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN.,Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Australia
| | - Graham G Giles
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN.,Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | | | - Jaakko Tuomilehto
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland.,Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Jaana Lindström
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Markku Laakso
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | | | - Catherine Helmer
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Johanna M Geleijnse
- INSERM, UMR 1219, Bordeaux Population Health Research Center, University of Bordeaux, Bordeaux, France
| | - Jason H Y Wu
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Amanda Fretts
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Renata Micha
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA.,Division of Cardiology, Tufts Medical Center, Boston, MA
| | | | | |
Collapse
|
31
|
Yang Y, Lee SM, Imamura F, Gowda K, Amin S, Mailman RB. D1 dopamine receptors intrinsic activity and functional selectivity affect working memory in prefrontal cortex. Mol Psychiatry 2021; 26:645-655. [PMID: 30532019 PMCID: PMC9710464 DOI: 10.1038/s41380-018-0312-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Revised: 11/14/2018] [Accepted: 11/15/2018] [Indexed: 01/29/2023]
Abstract
Dopamine D1 agonists enhance cognition, but the role of different signaling pathways (e.g., cAMP or β-arrestin) is unclear. The current study compared 2-methyldihydrexidine and CY208,243, drugs with different degrees of both D1 intrinsic activity and functional selectivity. 2-Methyldihydrexidine is a full agonist at adenylate cyclase and a super-agonist at β-arrestin recruitment, whereas CY208,243 has relatively high intrinsic activity at adenylate cyclase, but much lower at β-arrestin recruitment. Both drugs decreased, albeit in dissimilar ways, the firing rate of neurons in prefrontal cortex sensitive to outcome-related aspects of a working memory task. 2-Methyldihydrexidine was superior to CY208,243 in prospectively enhancing similarity and retrospectively distinguishing differences between correct and error outcomes based on firing rates, enhancing the micro-network measured by oscillations of spikes and local field potentials, and improving behavioral performance. This study is the first to examine how ligand signaling bias affects both behavioral and neurophysiological endpoints in the intact animal. The data show that maximal enhancement of cognition via D1 activation occurred with a pattern of signaling that involved full unbiased intrinsic activity, or agonists with high β-arrestin activity.
Collapse
Affiliation(s)
- Yang Yang
- Department of Pharmacology, Penn State University College of Medicine, Hershey, PA, 17033, USA.
| | - Sang-Min Lee
- Department of Pharmacology, Penn State University College of Medicine, Hershey PA 17033
| | - Fumiaki Imamura
- Department of Pharmacology, Penn State University College of Medicine, Hershey PA 17033
| | - Krishne Gowda
- Department of Pharmacology, Penn State University College of Medicine, Hershey PA 17033
| | - Shantu Amin
- Department of Pharmacology, Penn State University College of Medicine, Hershey PA 17033
| | - Richard B. Mailman
- Department of Neurology, Penn State University College of Medicine, Hershey PA 17033.,Department of Pharmacology, Penn State University College of Medicine, Hershey PA 17033.,Correspondence to: ,
| |
Collapse
|
32
|
Vinknes KJ, Refsum H, Turner C, Khaw KT, Wareham NJ, Forouhi NG, Imamura F. Plasma Sulfur Amino Acids and Risk of Cerebrovascular Diseases: A Nested Case-Control Study in the EPIC-Norfolk Cohort. Stroke 2021; 52:172-180. [PMID: 33349021 DOI: 10.1161/strokeaha.120.029177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE B-vitamin supplements lower circulating concentrations of homocysteine and may reduce stroke incidence. Homocysteine concentrations are associated with the incidence of stroke but other sulfur-containing compounds in the related metabolic pathway have not yet been investigated for an association with incident cerebrovascular diseases. METHODS Nested within the EPIC (European Prospective Investigation Into Cancer and Nutrition)-Norfolk cohort, we established a case-control study with 480 incident cases of cerebrovascular diseases and 480 controls matched by age, sex, and year of baseline examination (1993-1997). Using baseline plasma samples, we assayed sulfur-containing compounds including methionine, homocysteine, cystathionine, cysteine, glutathione, and taurine with liquid chromatography-tandem mass spectrometry. We examined the association of concentrations of each of the compounds and the ratio of methionine to homocysteine (representing activity of one-carbon metabolism) with risk of incident cerebrovascular diseases, adjusted for potential confounders. RESULTS Plasma methionine and the methionine/homocysteine ratio were inversely associated with risk of cerebrovascular diseases, with odds ratios per 1 SD of 0.83 (95% CI, 0.72-0.96) and 0.82 (95% CI, 0.71-0.95), respectively. The association of methionine remained significant after adjustment for homocysteine. None of the other examined compounds was significantly associated with incident cerebrovascular diseases. CONCLUSIONS These findings suggest that greater availability of methionine, an essential amino acid, may play a role in the prevention of cerebrovascular diseases and explain the previously recognized link between elevated homocysteine and stroke. Further research is needed to determine causation and the potential of circulating methionine as a target in cerebrovascular disease prevention.
Collapse
Affiliation(s)
- Kathrine J Vinknes
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Norway (K.J.V., H.R.)
| | - Helga Refsum
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Norway (K.J.V., H.R.)
| | - Cheryl Turner
- Department of Pharmacology, University of Oxford, United Kingdom (H.R., C.T.)
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, United Kingdom (K.-T.K.)
| | - Nicholas J Wareham
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, United Kingdom (N.J.W., N.G.F., F.I.)
| | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, United Kingdom (N.J.W., N.G.F., F.I.)
| | - Fumiaki Imamura
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, United Kingdom (N.J.W., N.G.F., F.I.)
| |
Collapse
|
33
|
Lotta LA, Pietzner M, Stewart ID, Wittemans LB, Li C, Bonelli R, Raffler J, Biggs EK, Oliver-Williams C, Auyeung VP, Luan J, Wheeler E, Paige E, Surendran P, Michelotti GA, Scott RA, Burgess S, Zuber V, Sanderson E, Koulman A, Imamura F, Forouhi NG, Khaw KT, Griffin JL, Wood AM, Kastenmüller G, Danesh J, Butterworth AS, Gribble FM, Reimann F, Bahlo M, Fauman E, Wareham NJ, Langenberg C. A cross-platform approach identifies genetic regulators of human metabolism and health. Nat Genet 2021; 53:54-64. [PMID: 33414548 PMCID: PMC7612925 DOI: 10.1038/s41588-020-00751-5] [Citation(s) in RCA: 83] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 11/20/2020] [Indexed: 02/02/2023]
Abstract
In cross-platform analyses of 174 metabolites, we identify 499 associations (P < 4.9 × 10-10) characterized by pleiotropy, allelic heterogeneity, large and nonlinear effects and enrichment for nonsynonymous variation. We identify a signal at GLP2R (p.Asp470Asn) shared among higher citrulline levels, body mass index, fasting glucose-dependent insulinotropic peptide and type 2 diabetes, with β-arrestin signaling as the underlying mechanism. Genetically higher serine levels are shown to reduce the likelihood (by 95%) and predict development of macular telangiectasia type 2, a rare degenerative retinal disease. Integration of genomic and small molecule data across platforms enables the discovery of regulators of human metabolism and translation into clinical insights.
Collapse
Affiliation(s)
- Luca A. Lotta
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Maik Pietzner
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | | | - Laura B.L. Wittemans
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK,The Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford
| | - Chen Li
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Roberto Bonelli
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia,Department of Medical Biology, The University of Melbourne, Parkville, Australia
| | - Johannes Raffler
- Institute of Computational Biology, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
| | - Emma K. Biggs
- Metabolic Research Laboratories, University of Cambridge, Cambridge, United Kingdom
| | - Clare Oliver-Williams
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK,Homerton College, University of Cambridge, Cambridge, UK
| | | | - Jian’an Luan
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Eleanor Wheeler
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Ellie Paige
- National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia
| | - Praveen Surendran
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK,British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK,Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK,Rutherford Fund Fellow, Department of Public Health and Primary Care, University of Cambridge, UK
| | | | - Robert A. Scott
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom,Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Verena Zuber
- MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom,Department of Epidemiology and Biostatistics, Imperial College London, UK
| | - Eleanor Sanderson
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, UK
| | - Albert Koulman
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK,Institute of Computational Biology, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany,NIHR BRC Nutritional Biomarker Laboratory, University of Cambridge, UK
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Nita G. Forouhi
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | | | - Julian L. Griffin
- Biomolecular Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, UK
| | - Angela M. Wood
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK,British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK,Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK,National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK,The Alan Turing Institute, London, UK
| | - Gabi Kastenmüller
- Institute of Computational Biology, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
| | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK,British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK,Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK,National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK,National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK,Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Adam S. Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK,British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK,Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK,National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK,National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK,Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Fiona M. Gribble
- Metabolic Research Laboratories, University of Cambridge, Cambridge, United Kingdom
| | - Frank Reimann
- Metabolic Research Laboratories, University of Cambridge, Cambridge, United Kingdom
| | - Melanie Bahlo
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia,Department of Medical Biology, The University of Melbourne, Parkville, Australia
| | - Eric Fauman
- Internal Medicine Research Unit, Pfizer Worldwide Research, Cambridge, MA 02142, USA
| | | | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK. .,Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK. .,Computational Medicine, Berlin Institute of Health (BIH), Charité University Medicine, Berlin, Germany.
| |
Collapse
|
34
|
Zheng JS, Luan J, Sofianopoulou E, Imamura F, Stewart ID, Day FR, Pietzner M, Wheeler E, Lotta LA, Gundersen TE, Amiano P, Ardanaz E, Chirlaque MD, Fagherazzi G, Franks PW, Kaaks R, Laouali N, Mancini FR, Nilsson PM, Onland-Moret NC, Olsen A, Overvad K, Panico S, Palli D, Ricceri F, Rolandsson O, Spijkerman AMW, Sánchez MJ, Schulze MB, Sala N, Sieri S, Tjønneland A, Tumino R, van der Schouw YT, Weiderpass E, Riboli E, Danesh J, Butterworth AS, Sharp SJ, Langenberg C, Forouhi NG, Wareham NJ. Plasma Vitamin C and Type 2 Diabetes: Genome-Wide Association Study and Mendelian Randomization Analysis in European Populations. Diabetes Care 2021; 44:98-106. [PMID: 33203707 PMCID: PMC7783939 DOI: 10.2337/dc20-1328] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 10/15/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Higher plasma vitamin C levels are associated with lower type 2 diabetes risk, but whether this association is causal is uncertain. To investigate this, we studied the association of genetically predicted plasma vitamin C with type 2 diabetes. RESEARCH DESIGN AND METHODS We conducted genome-wide association studies of plasma vitamin C among 52,018 individuals of European ancestry to discover novel genetic variants. We performed Mendelian randomization analyses to estimate the association of genetically predicted differences in plasma vitamin C with type 2 diabetes in up to 80,983 case participants and 842,909 noncase participants. We compared this estimate with the observational association between plasma vitamin C and incident type 2 diabetes, including 8,133 case participants and 11,073 noncase participants. RESULTS We identified 11 genomic regions associated with plasma vitamin C (P < 5 × 10-8), with the strongest signal at SLC23A1, and 10 novel genetic loci including SLC23A3, CHPT1, BCAS3, SNRPF, RER1, MAF, GSTA5, RGS14, AKT1, and FADS1. Plasma vitamin C was inversely associated with type 2 diabetes (hazard ratio per SD 0.88; 95% CI 0.82, 0.94), but there was no association between genetically predicted plasma vitamin C (excluding FADS1 variant due to its apparent pleiotropic effect) and type 2 diabetes (1.03; 95% CI 0.96, 1.10). CONCLUSIONS These findings indicate discordance between biochemically measured and genetically predicted plasma vitamin C levels in the association with type 2 diabetes among European populations. The null Mendelian randomization findings provide no strong evidence to suggest the use of vitamin C supplementation for type 2 diabetes prevention.
Collapse
Affiliation(s)
- Ju-Sheng Zheng
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, U.K
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Jian'an Luan
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Eleni Sofianopoulou
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, U.K
| | - Fumiaki Imamura
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Isobel D Stewart
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Felix R Day
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Maik Pietzner
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Eleanor Wheeler
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Luca A Lotta
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | | | - Pilar Amiano
- Ministry of Health of the Basque Government, Public Health Division of Gipuzkoa, Biodonostia Health Research Institute, Donostia-San Sebastian, Spain
| | - Eva Ardanaz
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - María-Dolores Chirlaque
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Regional Health Council, Instituto Murciano de Investigatión Biosanitaria (IMIB)-Arrixaca, Murcia University, Murcia, Spain
| | - Guy Fagherazzi
- Digital Epidemiology and e-Health Research Hub, Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg, France
- Center of Epidemiology and Population Health UMR 1018, INSERM, Paris South - Paris Saclay University, Gustave Roussy Institute, Villejuif, France
| | - Paul W Franks
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Nasser Laouali
- Center of Epidemiology and Population Health UMR 1018, INSERM, Paris South - Paris Saclay University, Gustave Roussy Institute, Villejuif, France
| | - Francesca Romana Mancini
- Center of Epidemiology and Population Health UMR 1018, INSERM, Paris South - Paris Saclay University, Gustave Roussy Institute, Villejuif, France
| | - Peter M Nilsson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Anja Olsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aarhus, Denmark
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network - ISPRO, Florence, Italy
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, University of Turin, Orbassano, Turin, Italy
- Unit of Epidemiology, Regional Health Service ASL TO3, Grugliasco, Turin, Italy
| | - Olov Rolandsson
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | | | | | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Nutrition Science, University of Potsdam, Nuthetal, Germany
| | - Núria Sala
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program and Translational Research Laboratory; Catalan Institute of Oncology - ICO, Group of Research on Nutrition and Cancer, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet of Llobregat, Barcelona, Spain
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Nazionale dei Tumori di Milano Via Venezian, Milan, Italy
| | - Anne Tjønneland
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Institute of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Azienda Sanitaria Provinciale (ASP), Ragusa, Italy
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | | | - Elio Riboli
- School of Public Health, Imperial College, London, U.K
| | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, U.K
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, U.K
- British Heart Foundation Center of Research Excellence, University of Cambridge, Cambridge, U.K
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, U.K
- National Institute for Health Research Cambridge Biomedical Research Center, University of Cambridge and Cambridge University Hospitals, Cambridge, U.K
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, U.K
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, U.K
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, U.K
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, U.K
- National Institute for Health Research Cambridge Biomedical Research Center, University of Cambridge and Cambridge University Hospitals, Cambridge, U.K
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, U.K
| | - Stephen J Sharp
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Claudia Langenberg
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, U.K.
| | - Nicholas J Wareham
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, U.K.
| |
Collapse
|
35
|
Meddens SFW, de Vlaming R, Bowers P, Burik CAP, Linnér RK, Lee C, Okbay A, Turley P, Rietveld CA, Fontana MA, Ghanbari M, Imamura F, McMahon G, van der Most PJ, Voortman T, Wade KH, Anderson EL, Braun KVE, Emmett PM, Esko T, Gonzalez JR, Kiefte-de Jong JC, Langenberg C, Luan J, Muka T, Ring S, Rivadeneira F, Snieder H, van Rooij FJA, Wolffenbuttel BHR, Smith GD, Franco OH, Forouhi NG, Ikram MA, Uitterlinden AG, van Vliet-Ostaptchouk JV, Wareham NJ, Cesarini D, Harden KP, Lee JJ, Benjamin DJ, Chow CC, Koellinger PD. Genomic analysis of diet composition finds novel loci and associations with health and lifestyle. Mol Psychiatry 2021; 26:2056-2069. [PMID: 32393786 PMCID: PMC7767645 DOI: 10.1038/s41380-020-0697-5] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2018] [Revised: 02/03/2020] [Accepted: 02/20/2020] [Indexed: 12/22/2022]
Abstract
We conducted genome-wide association studies (GWAS) of relative intake from the macronutrients fat, protein, carbohydrates, and sugar in over 235,000 individuals of European ancestries. We identified 21 unique, approximately independent lead SNPs. Fourteen lead SNPs are uniquely associated with one macronutrient at genome-wide significance (P < 5 × 10-8), while five of the 21 lead SNPs reach suggestive significance (P < 1 × 10-5) for at least one other macronutrient. While the phenotypes are genetically correlated, each phenotype carries a partially unique genetic architecture. Relative protein intake exhibits the strongest relationships with poor health, including positive genetic associations with obesity, type 2 diabetes, and heart disease (rg ≈ 0.15-0.5). In contrast, relative carbohydrate and sugar intake have negative genetic correlations with waist circumference, waist-hip ratio, and neighborhood deprivation (|rg| ≈ 0.1-0.3) and positive genetic correlations with physical activity (rg ≈ 0.1 and 0.2). Relative fat intake has no consistent pattern of genetic correlations with poor health but has a negative genetic correlation with educational attainment (rg ≈-0.1). Although our analyses do not allow us to draw causal conclusions, we find no evidence of negative health consequences associated with relative carbohydrate, sugar, or fat intake. However, our results are consistent with the hypothesis that relative protein intake plays a role in the etiology of metabolic dysfunction.
Collapse
Affiliation(s)
- S. Fleur W. Meddens
- grid.12380.380000 0004 1754 9227Department of Economics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands ,grid.6906.90000000092621349Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Burgemeester, Oudlaan 50, 3062 PA Rotterdam, The Netherlands
| | - Ronald de Vlaming
- grid.12380.380000 0004 1754 9227Department of Economics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands
| | - Peter Bowers
- grid.38142.3c000000041936754XDepartment of Economics, Harvard University, 1805 Cambridge St, Cambridge, MA 02138 USA
| | - Casper A. P. Burik
- grid.12380.380000 0004 1754 9227Department of Economics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands
| | - Richard Karlsson Linnér
- grid.12380.380000 0004 1754 9227Department of Economics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands
| | - Chanwook Lee
- grid.38142.3c000000041936754XDepartment of Economics, Harvard University, 1805 Cambridge St, Cambridge, MA 02138 USA
| | - Aysu Okbay
- grid.12380.380000 0004 1754 9227Department of Economics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands
| | - Patrick Turley
- grid.32224.350000 0004 0386 9924Analytical and Translational Genetics Unit, Massachusetts General Hospital, Richard B. Simches Research building, 185 Cambridge St, CPZN-6818, Boston, MA 02114 USA ,grid.66859.34Stanley Center for Psychiatric Genomics, The Broad Institute at Harvard and MIT, 75 Ames St, Cambridge, MA 02142 USA ,grid.42505.360000 0001 2156 6853Behavioral and Health Genomics Center, Center for Economic and Social Research, University of Southern, California, 635 Downey Way, Los Angeles, CA 90089 USA
| | - Cornelius A. Rietveld
- grid.6906.90000000092621349Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Burgemeester, Oudlaan 50, 3062 PA Rotterdam, The Netherlands ,grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands ,grid.6906.90000000092621349Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus School of Economics, Erasmus, University Rotterdam, Burgemeester Oudlaan 50, 3062 PA Rotterdam, The Netherlands
| | - Mark Alan Fontana
- grid.239915.50000 0001 2285 8823Center for the Advancement of Value in Musculoskeletal Care, Hospital for Special Surgery, 535 East 70th Street, New York, NY 10021 USA ,grid.5386.8000000041936877XDepartment of Healthcare Policy and Research, Weill Cornell Medical College, Cornell University, 402 East 67th Street, New York, NY 10065 USA
| | - Mohsen Ghanbari
- grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands ,grid.411583.a0000 0001 2198 6209Department of Genetics, School of Medicine, Mashhad University of Medical Sciences, Azadi Square, University Campus, 9177948564 Mashhad, Iran
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus Cambridge, CB2 0QQ Cambridge, UK
| | - George McMahon
- grid.5337.20000 0004 1936 7603Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, BS8 2BN Bristol, UK
| | - Peter J. van der Most
- grid.4494.d0000 0000 9558 4598Department of Epidemiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Trudy Voortman
- grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands
| | - Kaitlin H. Wade
- grid.5337.20000 0004 1936 7603Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, BS8 2BN Bristol, UK
| | - Emma L. Anderson
- grid.5337.20000 0004 1936 7603Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, BS8 2BN Bristol, UK
| | - Kim V. E. Braun
- grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands
| | - Pauline M. Emmett
- grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, BS8, 2BN, Bristol, UK
| | - Tonũ Esko
- grid.10939.320000 0001 0943 7661Estonian Genome Center, University of Tartu, Riia 23b, Tartu, 51010 Estonia
| | - Juan R. Gonzalez
- grid.434607.20000 0004 1763 3517Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader, 88, Barcelona, 8003 Spain ,grid.5612.00000 0001 2172 2676Universitat Pompeu Fabra (UPF), Ramon Trias Fargas 25-27, Barcelona, 8005 Spain ,grid.413448.e0000 0000 9314 1427CIBER Epidemiología y Salud Pública (CIBERESP), Pabellón 11, Calle Monforte de Lemos, 3-5, Madrid, 280229 Spain
| | - Jessica C. Kiefte-de Jong
- grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands ,grid.5132.50000 0001 2312 1970Leiden University College, Anna van Buerenplein 301, 2595 DG Den Haag, The Netherlands
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus Cambridge, CB2 0QQ Cambridge, UK
| | - Jian’an Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus Cambridge, CB2 0QQ Cambridge, UK
| | - Taulant Muka
- grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands
| | - Susan Ring
- grid.5337.20000 0004 1936 7603Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, BS8 2BN Bristol, UK
| | - Fernando Rivadeneira
- grid.5645.2000000040459992XDepartment of Internal Medicine, Erasmus MC University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands
| | - Harold Snieder
- grid.4494.d0000 0000 9558 4598Department of Epidemiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Frank J. A. van Rooij
- grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands
| | - Bruce H. R. Wolffenbuttel
- grid.4494.d0000 0000 9558 4598Department of Endocrinology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | | | | | | | - George Davey Smith
- grid.5337.20000 0004 1936 7603Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, BS8 2BN Bristol, UK
| | - Oscar H. Franco
- grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands
| | - Nita G. Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus Cambridge, CB2 0QQ Cambridge, UK
| | - M. Arfan Ikram
- grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands
| | - Andre G. Uitterlinden
- grid.5645.2000000040459992XDepartment of Internal Medicine, Erasmus MC University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands
| | - Jana V. van Vliet-Ostaptchouk
- grid.4494.d0000 0000 9558 4598Department of Endocrinology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands ,grid.4494.d0000 0000 9558 4598Genomics Coordination Center, Department of Genetics, University of Groningen, University Medical Center, Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Nick J. Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus Cambridge, CB2 0QQ Cambridge, UK
| | - David Cesarini
- grid.137628.90000 0004 1936 8753Department of Economics, New York University, 19 W. 4th Street, New York, NY 10012 USA
| | - K. Paige Harden
- grid.89336.370000 0004 1936 9924Department of Psychology, University of Texas at Austin, 108 E. Dean Keeton Stop #A8000, Austin, TX 78704 USA
| | - James J. Lee
- grid.17635.360000000419368657Department of Psychology, University of Minnesota Twin Cities, 75 East River Parkway, Minneapolis, MN 55455 USA
| | - Daniel J. Benjamin
- grid.42505.360000 0001 2156 6853Behavioral and Health Genomics Center, Center for Economic and Social Research, University of Southern, California, 635 Downey Way, Los Angeles, CA 90089 USA ,grid.250279.b0000 0001 0940 3170National Bureau of Economic Research, 1050 Massachusetts Ave, Cambridge, MA 02138 USA ,grid.42505.360000 0001 2156 6853Department of Economics, University of Southern California, 635 Downey Way, Los Angeles, CA 90089 USA
| | - Carson C. Chow
- grid.94365.3d0000 0001 2297 5165Laboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, National, Institutes of Health, Bethesda, MD 20892 USA
| | - Philipp D. Koellinger
- grid.12380.380000 0004 1754 9227Department of Economics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands
| |
Collapse
|
36
|
Khalatbari-Soltani S, Marques-Vidal P, Imamura F, Forouhi NG. Prospective association between adherence to the Mediterranean diet and hepatic steatosis: the Swiss CoLaus cohort study. BMJ Open 2020; 10:e040959. [PMID: 33371031 PMCID: PMC7757450 DOI: 10.1136/bmjopen-2020-040959] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 11/13/2020] [Accepted: 11/17/2020] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE The Mediterranean diet has been promoted as a healthy dietary pattern, but whether the Mediterranean diet may help to prevent hepatic steatosis is not clear. This study aimed to evaluate the prospective association between adherence to the Mediterranean diet and risk of hepatic steatosis. DESIGN Population-based prospective cohort study. SETTING The Swiss CoLaus Study. PARTICIPANTS We evaluated 2288 adults (65.4% women, aged 55.8±10.0 years) without hepatic steatosis at first follow-up in 2009-2012. Adherence to the Mediterranean diet was scaled as the Mediterranean diet score (MDS) based on the Mediterranean diet pyramid ascertained with responses to Food Frequency Questionnaires. OUTCOME MEASURES New onset of hepatic steatosis was ascertained by two indices separately: the Fatty Liver Index (FLI, ≥60 points) and the non-alcoholic fatty liver disease (NAFLD) score (≥-0.640 points). Prospective associations between adherence to the Mediterranean diet and risk of hepatic steatosis were quantified using Poisson regression. RESULTS During a mean 5.3 years of follow-up, hepatic steatosis was ascertained in 153 (6.7%) participants by FLI criteria and in 208 (9.1%) by NAFLD score. After multivariable adjustment, higher adherence to MDS was associated with lower risk of hepatic steatosis based on FLI: risk ratio 0.84 (95% CI 0.73 to 0.96) per 1 SD of MDS; 0.85 (0.73 to 0.99) adjusted for BMI; and 0.85 (0.71 to 1.02) adjusted for both BMI and waist circumference. When using NAFLD score, no significant association was found between MDS and risk of hepatic steatosis (0.95 (0.83 to 1.09)). CONCLUSION A potential role of the Mediterranean diet in the prevention of hepatic steatosis is suggested by the inverse association observed between adherence to the Mediterranean diet and incidence of hepatic steatosis based on the FLI. The inconsistency of this association when hepatic steatosis was assessed by NAFLD score points to the need for accurate population-level assessment of fatty liver and its physiological markers.
Collapse
Affiliation(s)
- Saman Khalatbari-Soltani
- Faculty of Medicine and Health, The University of Sydney School of Public Health, Sydney, New South Wales, Australia
- ARC Centre for Excellence in Population Ageing Research (CEPAR), University of Sydney, Sydney, New South Wales, Australia
- Department of Internal Medicine, Internal Medicine, University Hospital of Lausanne (CHUV), Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Internal Medicine, Internal Medicine, University Hospital of Lausanne (CHUV), Lausanne, Switzerland
| | - Fumiaki Imamura
- Medical Research Council Epidemiology Unit, University of Cambridge, School of Clinical Medicine, Cambridge, UK
| | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, University of Cambridge, School of Clinical Medicine, Cambridge, UK
| |
Collapse
|
37
|
Mann JP, Pietzner M, Wittemans LB, Rolfe EDL, Kerrison ND, Imamura F, Forouhi NG, Fauman E, Allison ME, Griffin JL, Koulman A, Wareham NJ, Langenberg C. Insights into genetic variants associated with NASH-fibrosis from metabolite profiling. Hum Mol Genet 2020; 29:3451-3463. [PMID: 32720691 PMCID: PMC7116726 DOI: 10.1093/hmg/ddaa162] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 06/15/2020] [Accepted: 07/16/2020] [Indexed: 12/16/2022] Open
Abstract
Several genetic discoveries robustly implicate five single-nucleotide variants in the progression of non-alcoholic fatty liver disease to non-alcoholic steatohepatitis and fibrosis (NASH-fibrosis), including a recently identified variant in MTARC1. To better understand these variants as potential therapeutic targets, we aimed to characterize their impact on metabolism using comprehensive metabolomics data from two population-based studies. A total of 9135 participants from the Fenland study and 9902 participants from the EPIC-Norfolk cohort were included in the study. We identified individuals with risk alleles associated with NASH-fibrosis: rs738409C>G in PNPLA3, rs58542926C>T in TM6SF2, rs641738C>T near MBOAT7, rs72613567TA>T in HSD17B13 and rs2642438A>G in MTARC1. Circulating levels of 1449 metabolites were measured using targeted and untargeted metabolomics. Associations between NASH-fibrosis variants and metabolites were assessed using linear regression. The specificity of variant-metabolite associations were compared to metabolite associations with ultrasound-defined steatosis, gene variants linked to liver fat (in GCKR, PPP1R3B and LYPLAL1) and gene variants linked to cirrhosis (in HFE and SERPINA1). Each NASH-fibrosis variant demonstrated a specific metabolite profile with little overlap (8/97 metabolites) comprising diverse aspects of lipid metabolism. Risk alleles in PNPLA3 and HSD17B13 were both associated with higher 3-methylglutarylcarnitine and three variants were associated with lower lysophosphatidylcholine C14:0. The risk allele in MTARC1 was associated with higher levels of sphingomyelins. There was no overlap with metabolites that associated with HFE or SERPINA1 variants. Our results suggest a link between the NASH-protective variant in MTARC1 to the metabolism of sphingomyelins and identify distinct molecular patterns associated with each of the NASH-fibrosis variants under investigation.
Collapse
Affiliation(s)
- Jake P Mann
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK
| | - Maik Pietzner
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK
| | - Laura B Wittemans
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK
| | - Emmanuela De Lucia Rolfe
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK
| | - Nicola D Kerrison
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK
| | - Fumiaki Imamura
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK
| | - Nita G Forouhi
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK
| | - Eric Fauman
- Internal Medicine Research Unit, Pfizer Worldwide Research, Development and Medical, Cambridge, MA 02142, USA
| | - Michael E Allison
- Liver Unit, Department of Medicine, Cambridge Biomedical Research Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK
| | - Jules L Griffin
- MRC Human Nutrition Research, University of Cambridge, Cambridge CB1 9NL, UK
- Department of Biochemistry, Cambridge Systems Biology Centre, University of Cambridge, Cambridge CB2 1GA, UK
| | - Albert Koulman
- MRC Human Nutrition Research, University of Cambridge, Cambridge CB1 9NL, UK
- Department of Biochemistry, Cambridge Systems Biology Centre, University of Cambridge, Cambridge CB2 1GA, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK
| |
Collapse
|
38
|
Ibsen DB, Steur M, Imamura F, Overvad K, Schulze MB, Bendinelli B, Guevara M, Agudo A, Amiano P, Aune D, Barricarte A, Ericson U, Fagherazzi G, Franks PW, Freisling H, Quiros JR, Grioni S, Heath AK, Huybrechts I, Katze V, Laouali N, Mancini F, Masala G, Olsen A, Papier K, Ramne S, Rolandsson O, Sacerdote C, Sánchez MJ, Santiuste C, Simeon V, Spijkerman AMW, Srour B, Tjønneland A, Tong TYN, Tumino R, van der Schouw YT, Weiderpass E, Wittenbecher C, Sharp SJ, Riboli E, Forouhi NG, Wareham NJ. Replacement of Red and Processed Meat With Other Food Sources of Protein and the Risk of Type 2 Diabetes in European Populations: The EPIC-InterAct Study. Diabetes Care 2020; 43:2660-2667. [PMID: 32868270 PMCID: PMC7576430 DOI: 10.2337/dc20-1038] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 07/24/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE There is sparse evidence for the association of suitable food substitutions for red and processed meat on the risk of type 2 diabetes. We modeled the association between replacing red and processed meat with other protein sources and the risk of type 2 diabetes and estimated its population impact. RESEARCH DESIGN AND METHODS The European Prospective Investigation into Cancer (EPIC)-InterAct case cohort included 11,741 individuals with type 2 diabetes and a subcohort of 15,450 participants in eight countries. We modeled the replacement of self-reported red and processed meat with poultry, fish, eggs, legumes, cheese, cereals, yogurt, milk, and nuts. Country-specific hazard ratios (HRs) for incident type 2 diabetes were estimated by Prentice-weighted Cox regression and pooled using random-effects meta-analysis. RESULTS There was a lower hazard for type 2 diabetes for the modeled replacement of red and processed meat (50 g/day) with cheese (HR 0.90, 95% CI 0.83-0.97) (30 g/day), yogurt (0.90, 0.86-0.95) (70 g/day), nuts (0.90, 0.84-0.96) (10 g/day), or cereals (0.92, 0.88-0.96) (30 g/day) but not for replacements with poultry, fish, eggs, legumes, or milk. If a causal association is assumed, replacing red and processed meat with cheese, yogurt, or nuts could prevent 8.8%, 8.3%, or 7.5%, respectively, of new cases of type 2 diabetes. CONCLUSIONS Replacement of red and processed meat with cheese, yogurt, nuts, or cereals was associated with a lower rate of type 2 diabetes. Substituting red and processed meat by other protein sources may contribute to the prevention of incident type 2 diabetes in European populations.
Collapse
Affiliation(s)
- Daniel B Ibsen
- Research Unit for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Marinka Steur
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Kim Overvad
- Research Unit for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Nutritional Sciences, University of Potsdam, Nuthetal, Germany
| | - Benedetta Bendinelli
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Marcela Guevara
- Navarre Public Health Institute, Pamplona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Catalan Institute of Oncology (ICO), and Nutrition and Cancer Group, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Pilar Amiano
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, San Sebastian, Spain
- Instituto Biodonostia, Basque Government, San Sebastian, Spain
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K
- Department of Nutrition, Bjørknes University College, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital Ullevål, Oslo, Norway
| | | | - Ulrika Ericson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Guy Fagherazzi
- Digital Epidemiology and e-Health Research Hub, Department of Population Health, Luxembourg Institute of Health, Luxembourg
- Center of Epidemiology and Population Health, UMR 1018, INSERM, Paris South-Paris Saclay University, Gustave Roussy Institute, Villejuif, France
| | | | - Heinz Freisling
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | | | - Sara Grioni
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K
| | - Inge Huybrechts
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Verena Katze
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Nasser Laouali
- Center of Epidemiology and Population Health, UMR 1018, INSERM, Paris South-Paris Saclay University, Gustave Roussy Institute, Villejuif, France
| | - Francesca Mancini
- Center of Epidemiology and Population Health, UMR 1018, INSERM, Paris South-Paris Saclay University, Gustave Roussy Institute, Villejuif, France
| | - Giovanna Masala
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Anja Olsen
- Research Unit for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, U.K
| | - Stina Ramne
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Olov Rolandsson
- Family Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino and Center for Cancer Prevention (CPO), Turin, Italy
| | - Maria-José Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Escuela Andaluza de Salud Pública, Granada, Spain
- Instituto de Investigación Biosanitaria ibs. Granada, Granada, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Carmen Santiuste
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Authority, IMIB-Arrixaca, Murcia, Spain
| | - Vittorio Simeon
- Department of Mental and Physical Health and Preventive Medicine, University of Campania Luigi Vanvitelli, Naples, Italy
| | | | - Bernard Srour
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, U.K
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Azienda Sanitaria Provinciale, Ragusa, Italy
- Associazone Iblea per la Ricerca Epidemiologica - Organizazione Non Lucrativa di Utilità Sociale (AIRE-ONLUS), Ragusa, Italy
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Clemens Wittenbecher
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Stephen J Sharp
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K.
| | - Nick J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| |
Collapse
|
39
|
Zheng JS, Luan J, Sofianopoulou E, Sharp SJ, Day FR, Imamura F, Gundersen TE, Lotta LA, Sluijs I, Stewart ID, Shah RL, van der Schouw YT, Wheeler E, Ardanaz E, Boeing H, Dorronsoro M, Dahm CC, Dimou N, El-Fatouhi D, Franks PW, Fagherazzi G, Grioni S, Huerta JM, Heath AK, Hansen L, Jenab M, Jakszyn P, Kaaks R, Kühn T, Khaw KT, Laouali N, Masala G, Nilsson PM, Overvad K, Olsen A, Panico S, Quirós JR, Rolandsson O, Rodríguez-Barranco M, Sacerdote C, Spijkerman AMW, Tong TYN, Tumino R, Tsilidis KK, Danesh J, Riboli E, Butterworth AS, Langenberg C, Forouhi NG, Wareham NJ. The association between circulating 25-hydroxyvitamin D metabolites and type 2 diabetes in European populations: A meta-analysis and Mendelian randomisation analysis. PLoS Med 2020; 17:e1003394. [PMID: 33064751 PMCID: PMC7567390 DOI: 10.1371/journal.pmed.1003394] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Accepted: 09/11/2020] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Prior research suggested a differential association of 25-hydroxyvitamin D (25(OH)D) metabolites with type 2 diabetes (T2D), with total 25(OH)D and 25(OH)D3 inversely associated with T2D, but the epimeric form (C3-epi-25(OH)D3) positively associated with T2D. Whether or not these observational associations are causal remains uncertain. We aimed to examine the potential causality of these associations using Mendelian randomisation (MR) analysis. METHODS AND FINDINGS We performed a meta-analysis of genome-wide association studies for total 25(OH)D (N = 120,618), 25(OH)D3 (N = 40,562), and C3-epi-25(OH)D3 (N = 40,562) in participants of European descent (European Prospective Investigation into Cancer and Nutrition [EPIC]-InterAct study, EPIC-Norfolk study, EPIC-CVD study, Ely study, and the SUNLIGHT consortium). We identified genetic variants for MR analysis to investigate the causal association of the 25(OH)D metabolites with T2D (including 80,983 T2D cases and 842,909 non-cases). We also estimated the observational association of 25(OH)D metabolites with T2D by performing random effects meta-analysis of results from previous studies and results from the EPIC-InterAct study. We identified 10 genetic loci associated with total 25(OH)D, 7 loci associated with 25(OH)D3 and 3 loci associated with C3-epi-25(OH)D3. Based on the meta-analysis of observational studies, each 1-standard deviation (SD) higher level of 25(OH)D was associated with a 20% lower risk of T2D (relative risk [RR]: 0.80; 95% CI 0.77, 0.84; p < 0.001), but a genetically predicted 1-SD increase in 25(OH)D was not significantly associated with T2D (odds ratio [OR]: 0.96; 95% CI 0.89, 1.03; p = 0.23); this result was consistent across sensitivity analyses. In EPIC-InterAct, 25(OH)D3 (per 1-SD) was associated with a lower risk of T2D (RR: 0.81; 95% CI 0.77, 0.86; p < 0.001), while C3-epi-25(OH)D3 (above versus below lower limit of quantification) was positively associated with T2D (RR: 1.12; 95% CI 1.03, 1.22; p = 0.006), but neither 25(OH)D3 (OR: 0.97; 95% CI 0.93, 1.01; p = 0.14) nor C3-epi-25(OH)D3 (OR: 0.98; 95% CI 0.93, 1.04; p = 0.53) was causally associated with T2D risk in the MR analysis. Main limitations include the lack of a non-linear MR analysis and of the generalisability of the current findings from European populations to other populations of different ethnicities. CONCLUSIONS Our study found discordant associations of biochemically measured and genetically predicted differences in blood 25(OH)D with T2D risk. The findings based on MR analysis in a large sample of European ancestry do not support a causal association of total 25(OH)D or 25(OH)D metabolites with T2D and argue against the use of vitamin D supplementation for the prevention of T2D.
Collapse
Affiliation(s)
- Ju-Sheng Zheng
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Jian’an Luan
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Eleni Sofianopoulou
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Stephen J. Sharp
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Felix R. Day
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | | | - Luca A. Lotta
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Ivonne Sluijs
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Isobel D. Stewart
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Rupal L. Shah
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Eleanor Wheeler
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Eva Ardanaz
- Navarra Public Health Institute, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Germany
| | | | | | - Niki Dimou
- International Agency for Research on Cancer, Lyon, France
| | - Douae El-Fatouhi
- Center of Research in Epidemiology and Population Health, UMR 1018 Inserm, Institut Gustave Roussy, Paris South–Paris Saclay University, Villejuif, France
| | - Paul W. Franks
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Guy Fagherazzi
- Center of Research in Epidemiology and Population Health, UMR 1018 Inserm, Institut Gustave Roussy, Paris South–Paris Saclay University, Villejuif, France
- Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Sara Grioni
- Epidemiology and Prevention Unit, Milan, Italy
| | - José María Huerta
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, Instituto Murciano de Investigación Biosanitaria Virgen de la Arrixaca, Murcia, Spain
| | - Alicia K. Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Louise Hansen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Mazda Jenab
- International Agency for Research on Cancer, Lyon, France
| | - Paula Jakszyn
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology–Institut d’Investigació Biomédica de Bellvitge, L’Hospitalet de Llobregat, Barcelona, Spain
- Facultat Ciències Salut Blanquerna, Universitat Ramon Llull, Barcelona, Spain
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Nasser Laouali
- Center of Research in Epidemiology and Population Health, UMR 1018 Inserm, Institut Gustave Roussy, Paris South–Paris Saclay University, Villejuif, France
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | | | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aarhus, Denmark
| | - Anja Olsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, University of Naples Federico II, Naples, Italy
| | | | - Olov Rolandsson
- Family Medicine Division, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Miguel Rodríguez-Barranco
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Andalusian School of Public Health (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria de Granada, Universidad de Granada, Granada, Spain
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza di Torino University Hospital–University of Turin and Center for Cancer Prevention (CPO), Torino, Italy
| | | | - Tammy Y. N. Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | | | - Konstantinos K. Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - John Danesh
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- British Heart Foundation Cambridge Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke’s Hospital, Cambridge, United Kingdom
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Adam S. Butterworth
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Nita G. Forouhi
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | | |
Collapse
|
40
|
Miao Z, Lin JS, Mao Y, Chen GD, Zeng FF, Dong HL, Jiang Z, Wang J, Xiao C, Shuai M, Gou W, Fu Y, Imamura F, Chen YM, Zheng JS. Erythrocyte n-6 Polyunsaturated Fatty Acids, Gut Microbiota, and Incident Type 2 Diabetes: A Prospective Cohort Study. Diabetes Care 2020; 43:2435-2443. [PMID: 32723842 PMCID: PMC7510039 DOI: 10.2337/dc20-0631] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 07/05/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To examine the association of erythrocyte n-6 polyunsaturated fatty acid (PUFA) biomarkers with incident type 2 diabetes and explore the potential role of gut microbiota in the association. RESEARCH DESIGN AND METHODS We evaluated 2,731 participants without type 2 diabetes recruited between 2008 and 2013 in the Guangzhou Nutrition and Health Study (Guangzhou, China). Case subjects with type 2 diabetes were identified with clinical and biochemical information collected at follow-up visits. Using stool samples collected during the follow-up in the subset (n = 1,591), 16S rRNA profiling was conducted. Using multivariable-adjusted Poisson or linear regression, we examined associations of erythrocyte n-6 PUFA biomarkers with incident type 2 diabetes and diversity and composition of gut microbiota. RESULTS Over 6.2 years of follow-up, 276 case subjects with type 2 diabetes were identified (risk 0.10). Higher levels of erythrocyte γ-linolenic acid (GLA), but not linoleic or arachidonic acid, were associated with higher type 2 diabetes incidence. Comparing the top to the bottom quartile groups of GLA levels, relative risk was 1.72 (95% CI 1.21, 2.44) adjusted for potential confounders. Baseline GLA was inversely associated with gut microbial richness and diversity (α-diversity, both P < 0.05) during follow-up and significantly associated with microbiota β-diversity (P = 0.002). α-Diversity acted as a potential mediator in the association between GLA and type 2 diabetes (P < 0.05). Seven genera (Butyrivibrio, Blautia, Oscillospira, Odoribacter, S24-7 other, Rikenellaceae other, and Clostridiales other) were enriched in quartile 1 of GLA and in participants without type 2 diabetes. CONCLUSIONS Relative concentrations of erythrocyte GLA were positively associated with incident type 2 diabetes in a Chinese population and also with gut microbial profiles. These results highlight that gut microbiota may play an important role linking n-6 PUFA metabolism and type 2 diabetes etiology.
Collapse
Affiliation(s)
- Zelei Miao
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Jie-Sheng Lin
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yingying Mao
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Geng-Dong Chen
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Fang-Fang Zeng
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.,Department of Epidemiology, School of Basic Medical Sciences, Jinan University, Guangzhou, China
| | - Hong-Li Dong
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zengliang Jiang
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Jiali Wang
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Congmei Xiao
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Menglei Shuai
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Wanglong Gou
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Yuanqing Fu
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Yu-Ming Chen
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Ju-Sheng Zheng
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China .,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China.,MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| |
Collapse
|
41
|
Alvarado M, Harris R, Rose A, Unwin N, Hambleton I, Imamura F, Adams J. Using nutritional survey data to inform the design of sugar-sweetened beverage taxes in low-resource contexts: a cross-sectional analysis based on data from an adult Caribbean population. BMJ Open 2020; 10:e035981. [PMID: 32912976 PMCID: PMC7485232 DOI: 10.1136/bmjopen-2019-035981] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVE Sugar-sweetened beverage (SSB) taxes have been implemented widely. We aimed to use a pre-existing nutritional survey data to inform SSB tax design by assessing: (1) baseline consumption of SSBs and SSB-derived free sugars, (2) the percentage of SSB-derived free sugars that would be covered by a tax and (3) the extent to which a tax would differentiate between high-sugar SSBs and low-sugar SSBs. We evaluated these three considerations using pre-existing nutritional survey data in a developing economy setting. METHODS We used data from a nationally representative cross-sectional survey in Barbados (2012-2013, prior to SSB tax implementation). Data were available on 334 adults (25-64 years) who completed two non-consecutive 24-hour dietary recalls. We estimated the prevalence of SSB consumption and its contribution to total energy intake, overall and stratified by taxable status. We assessed the percentage of SSB-derived free sugars subject to the tax and identified the consumption-weighted sugar concentration of SSBs, stratified by taxable status. FINDINGS Accounting for sampling probability, 88.8% of adults (95% CI 85.1 to 92.5) reported SSB consumption, with a geometric mean of 2.4 servings/day (±2 SD, 0.6, 9.2) among SSB consumers. Sixty percent (95% CI 54.6 to 65.4) of SSB-derived free sugars would be subject to the tax. The tax did not clearly differentiate between high-sugar beverages and low-sugar beverages. CONCLUSION Given high SSB consumption, targeting SSBs was a sensible strategy in this setting. A substantial percentage of free sugars from SSBs were not covered by the tax, reducing possible health benefits. The considerations proposed here may help policymakers to design more effective SSB taxes.
Collapse
Affiliation(s)
- Miriam Alvarado
- Centre for Diet and Activity Research, MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Rachel Harris
- Faculty of Medical Sciences, University of the West Indies, Cave Hill, Barbados
| | - Angela Rose
- George Alleyne Chronic Disease Research Centre, Caribbean Institute for Health Research, University of the West Indies at Cave Hill, Bridgetown, Barbados
- Epidemiology Department, Epiconcept, Paris, France
| | - Nigel Unwin
- Global Diet and Activity Research, MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
- College of Medicine and Health, University of Exeter, Truro, UK
| | - Ian Hambleton
- George Alleyne Chronic Disease Research Centre, Caribbean Institute for Health Research, University of the West Indies at Cave Hill, Bridgetown, Barbados
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Jean Adams
- Centre for Diet and Activity Research, MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| |
Collapse
|
42
|
Abstract
Generation of neuronal diversity is a biological strategy widely used in the brain to process complex information. The olfactory bulb is the first relay station of olfactory information in the vertebrate central nervous system. In the olfactory bulb, axons of the olfactory sensory neurons form synapses with dendrites of projection neurons that transmit the olfactory information to the olfactory cortex. Historically, the olfactory bulb projection neurons have been classified into two populations, mitral cells and tufted cells. The somata of these cells are distinctly segregated within the layers of the olfactory bulb; the mitral cells are located in the mitral cell layer while the tufted cells are found in the external plexiform layer. Although mitral and tufted cells share many morphological, biophysical, and molecular characteristics, they differ in soma size, projection patterns of their dendrites and axons, and odor responses. In addition, tufted cells are further subclassified based on the relative depth of their somata location in the external plexiform layer. Evidence suggests that different types of tufted cells have distinct cellular properties and play different roles in olfactory information processing. Therefore, mitral and different types of tufted cells are considered as starting points for parallel pathways of olfactory information processing in the brain. Moreover, recent studies suggest that mitral cells also consist of heterogeneous subpopulations with different cellular properties despite the fact that the mitral cell layer is a single-cell layer. In this review, we first compare the morphology of projection neurons in the olfactory bulb of different vertebrate species. Next, we explore the similarities and differences among subpopulations of projection neurons in the rodent olfactory bulb. We also discuss the timing of neurogenesis as a factor for the generation of projection neuron heterogeneity in the olfactory bulb. Knowledge about the subpopulations of olfactory bulb projection neurons will contribute to a better understanding of the complex olfactory information processing in higher brain regions.
Collapse
Affiliation(s)
- Fumiaki Imamura
- Department of Pharmacology, Penn State College of Medicine, Hershey, PA, United States
| | - Ayako Ito
- Department of Pharmacology, Penn State College of Medicine, Hershey, PA, United States
| | - Brandon J LaFever
- Department of Pharmacology, Penn State College of Medicine, Hershey, PA, United States
| |
Collapse
|
43
|
Tong TYN, Appleby PN, Key TJ, Dahm CC, Overvad K, Olsen A, Tjønneland A, Katzke V, Kühn T, Boeing H, Karakatsani A, Peppa E, Trichopoulou A, Weiderpass E, Masala G, Grioni S, Panico S, Tumino R, Boer JMA, Verschuren WMM, Quirós JR, Agudo A, Rodríguez-Barranco M, Imaz L, Chirlaque MD, Moreno-Iribas C, Engström G, Sonestedt E, Lind M, Otten J, Khaw KT, Aune D, Riboli E, Wareham NJ, Imamura F, Forouhi NG, di Angelantonio E, Wood AM, Butterworth AS, Perez-Cornago A. The associations of major foods and fibre with risks of ischaemic and haemorrhagic stroke: a prospective study of 418 329 participants in the EPIC cohort across nine European countries. Eur Heart J 2020; 41:2632-2640. [PMID: 32090257 PMCID: PMC7377582 DOI: 10.1093/eurheartj/ehaa007] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 09/20/2019] [Accepted: 01/10/2020] [Indexed: 01/12/2023] Open
Abstract
AIM To investigate the associations between major foods and dietary fibre with subtypes of stroke in a large prospective cohort. METHODS AND RESULTS We analysed data on 418 329 men and women from nine European countries, with an average of 12.7 years of follow-up. Diet was assessed using validated country-specific questionnaires which asked about habitual intake over the past year, calibrated using 24-h recalls. Multivariable-adjusted Cox regressions were used to estimate hazard ratios (HRs) for ischaemic and haemorrhagic stroke associated with consumption of red and processed meat, poultry, fish, dairy foods, eggs, cereals, fruit and vegetables, legumes, nuts and seeds, and dietary fibre. For ischaemic stroke (4281 cases), lower risks were observed with higher consumption of fruit and vegetables combined (HR; 95% CI per 200 g/day higher intake, 0.87; 0.82-0.93, P-trend < 0.001), dietary fibre (per 10 g/day, 0.77; 0.69-0.86, P-trend < 0.001), milk (per 200 g/day, 0.95; 0.91-0.99, P-trend = 0.02), yogurt (per 100 g/day, 0.91; 0.85-0.97, P-trend = 0.004), and cheese (per 30 g/day, 0.88; 0.81-0.97, P-trend = 0.008), while higher risk was observed with higher red meat consumption which attenuated when adjusted for the other statistically significant foods (per 50 g/day, 1.07; 0.96-1.20, P-trend = 0.20). For haemorrhagic stroke (1430 cases), higher risk was associated with higher egg consumption (per 20 g/day, 1.25; 1.09-1.43, P-trend = 0.002). CONCLUSION Risk of ischaemic stroke was inversely associated with consumption of fruit and vegetables, dietary fibre, and dairy foods, while risk of haemorrhagic stroke was positively associated with egg consumption. The apparent differences in the associations highlight the importance of examining ischaemic and haemorrhagic stroke subtypes separately.
Collapse
Affiliation(s)
- Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford OX3 7LF, UK
| | - Paul N Appleby
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford OX3 7LF, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford OX3 7LF, UK
| | - Christina C Dahm
- Department of Public Health, Aarhus University, Nordre Ringgade 1, 8000 Aarhus, Demark
| | - Kim Overvad
- Department of Public Health, Aarhus University, Nordre Ringgade 1, 8000 Aarhus, Demark
- Department of Cardiology, Aalborg University Hospital, Reberbansgade 15, 9000 Aalborg, Denmark
| | - Anja Olsen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Anne Tjønneland
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg Germany
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition (DIfE) Postdam-Rehbrücke, Arthur-Scheunert-Allee 114, 14558 Nuthetal, Germany
| | - Anna Karakatsani
- Hellenic Health Foundation, Kaisareias 13 & Alexandroupoleos, 11527 Athens, Greece
- 2nd Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, “ATTIKON” University Hospital, 1, Rimini Str, Haidari, 12462 Athens, Greece
| | - Eleni Peppa
- Hellenic Health Foundation, Kaisareias 13 & Alexandroupoleos, 11527 Athens, Greece
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Kaisareias 13 & Alexandroupoleos, 11527 Athens, Greece
| | - Elisabete Weiderpass
- International Agency for Research on Cancer (IARC), World Health Organization (WHO), 150 Cours Albert Thomas, 69372, Lyon CEDEX 08, France
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network - ISPRO, Via Cosimo Il Vecchio
| | - Sara Grioni
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Via Giacomo Venezian, 1, 20133 Milan, Italy
| | - Salvatore Panico
- Dipartimento Di Medicina Clinica E Chirurgia Federico II University, Corso Umberto I, 40, 80138 Naples, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, “M.P.Arezzo” Hospital, ASP Contrada Rito, 97100 Ragusa, Italy
| | - Jolanda M A Boer
- National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, the Netherlands
| | - W M Monique Verschuren
- National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 Utrecht, the Netherlands
| | - J Ramón Quirós
- Public Health Directorate, General Elorza 32, 33001 Oviedo, Asturias, Spain
| | - Antonio Agudo
- Unit of Nutrition and Cancer. Cancer Epidemiology Research Program. Catalan Institute of Oncology-IDIBELL. Avinguda de la Gran Via de l'Hospitalet 199-203, 08908 L'Hospitalet de Llobregat, Barcelona, Spain
| | - Miguel Rodríguez-Barranco
- Andalusian School of Public Health. Biomedical Research Institute ibs.GRANADA, University of Granada, Cuesta del Observatorio, 4, 18011 Granada, Spain
- CIBER of Epidemiology and Public Health. Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0 28029 Madrid, Spain
| | - Liher Imaz
- Ministry of Health of the Basque Government, Public Health Division of Gipuzkoa, Andia 13, 20004 Donostia-San Sebastian, Spain
- Biodonostia Health Research Institute, Paseo Doctor Begiristain, s/n, 20014 Donostia-San Sebastian, Spain
| | - María-Dolores Chirlaque
- CIBER of Epidemiology and Public Health. Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0 28029 Madrid, Spain
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Ronda de Levante, 11, 30008 Murcia, Spain
| | - Conchi Moreno-Iribas
- Instituto de Salud Pública de Navarra, IdiSNA, Navarre Institute for Health Research, Calle de Irunlarrea 3, 31008 Pamplona, Spain
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Recinto Hospitalario de Navarra, Calle de Irunlarrea s/n, 31621 Pamplona, Spain
| | - Gunnar Engström
- Department of Clinical Science in Malmö, Lund University, Bergsgatan 31 B, 21445 Malmö, Sweden
| | - Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms gata 35, CRC, hus 60 plan 13 205 02 Malmö, Sweden
| | - Marcus Lind
- Department of Public Health and Clinical Medicine, Umeå University, 901 87 Umeå, Sweden
| | - Julia Otten
- Department of Public Health and Clinical Medicine, Umeå University, 901 87 Umeå, Sweden
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge CB1 8RN, UK
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
- Department of Nutrition, Bjørknes University College, Lovisenberggata 13, N- 0456 Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital Ullevål, OUS HF Aker sykehus, Postboks 4959 Nydalen, 0424 Oslo, Norway
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Emanuele di Angelantonio
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge CB1 8RN, UK
| | - Angela M Wood
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge CB1 8RN, UK
| | - Adam S Butterworth
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge CB1 8RN, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford OX3 7LF, UK
| |
Collapse
|
44
|
Zheng JS, Sharp SJ, Imamura F, Chowdhury R, Gundersen TE, Steur M, Sluijs I, van der Schouw YT, Agudo A, Aune D, Barricarte A, Boeing H, Chirlaque MD, Dorronsoro M, Freisling H, El-Fatouhi D, Franks PW, Fagherazzi G, Grioni S, Gunter MJ, Kyrø C, Katzke V, Kühn T, Khaw KT, Laouali N, Masala G, Nilsson PM, Overvad K, Panico S, Papier K, Quirós JR, Rolandsson O, Redondo-Sánchez D, Ricceri F, Schulze MB, Spijkerman AMW, Tjønneland A, Tong TYN, Tumino R, Weiderpass E, Danesh J, Butterworth AS, Riboli E, Forouhi NG, Wareham NJ. Association of plasma biomarkers of fruit and vegetable intake with incident type 2 diabetes: EPIC-InterAct case-cohort study in eight European countries. BMJ 2020; 370:m2194. [PMID: 32641421 PMCID: PMC7341350 DOI: 10.1136/bmj.m2194] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/02/2020] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To investigate the association of plasma vitamin C and carotenoids, as indicators of fruit and vegetable intake, with the risk of type 2 diabetes. DESIGN Prospective case-cohort study. SETTING Populations from eight European countries. PARTICIPANTS 9754 participants with incident type 2 diabetes, and a subcohort of 13 662 individuals from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort of 340 234 participants: EPIC-InterAct case-cohort study. MAIN OUTCOME MEASURE Incident type 2 diabetes. RESULTS In a multivariable adjusted model, higher plasma vitamin C was associated with a lower risk of developing type 2 diabetes (hazard ratio per standard deviation 0.82, 95% confidence interval 0.76 to 0.89). A similar inverse association was shown for total carotenoids (hazard ratio per standard deviation 0.75, 0.68 to 0.82). A composite biomarker score (split into five equal groups), comprising vitamin C and individual carotenoids, was inversely associated with type 2 diabetes with hazard ratios 0.77, 0.66, 0.59, and 0.50 for groups 2-5 compared with group 1 (the lowest group). Self-reported median fruit and vegetable intake was 274 g/day, 396 g/day, and 508 g/day for participants in categories defined by groups 1, 3, and 5 of the composite biomarker score, respectively. One standard deviation difference in the composite biomarker score, equivalent to a 66 (95% confidence interval 61 to 71) g/day difference in total fruit and vegetable intake, was associated with a hazard ratio of 0.75 (0.67 to 0.83). This would be equivalent to an absolute risk reduction of 0.95 per 1000 person years of follow up if achieved across an entire population with the characteristics of the eight European countries included in this analysis. CONCLUSIONS These findings indicate an inverse association between plasma vitamin C, carotenoids, and their composite biomarker score, and incident type 2 diabetes in different European countries. These biomarkers are objective indicators of fruit and vegetable consumption, and suggest that diets rich in even modestly higher fruit and vegetable consumption could help to prevent development of type 2 diabetes.
Collapse
Affiliation(s)
- Ju-Sheng Zheng
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Stephen J Sharp
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Rajiv Chowdhury
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | | | - Marinka Steur
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Ivonne Sluijs
- Julius Centre for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Yvonne T van der Schouw
- Julius Centre for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology, Group of Research on Nutrition and Cancer, Bellvitge Biomedical Research Institute, L'Hospitalet of Llobregat, Barcelona, Spain
| | - Dagfinn Aune
- School of Public Health, Imperial College London, London, UK
- Department of Nutrition, Bjørknes University College, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | | | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - María-Dolores Chirlaque
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Murcia, Spain
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | | | | | - Douae El-Fatouhi
- Centre of Research in Epidemiology and Population Health, UMR 1018 Inserm, Institut Gustave Roussy, Paris-Sud Paris-Saclay University, Villejuif, France
| | - Paul W Franks
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Guy Fagherazzi
- Centre of Research in Epidemiology and Population Health, UMR 1018 Inserm, Institut Gustave Roussy, Paris-Sud Paris-Saclay University, Villejuif, France
- Luxembourg Institute of Health (LIH), Department of Population Health, Strassen, Luxembourg
| | - Sara Grioni
- Epidemiology and Prevention Unit, Milan, Italy
| | - Marc J Gunter
- International Agency for Research on Cancer, Lyon, France
| | - Cecilie Kyrø
- Danish Cancer Society Research Centre, Copenhagen, Denmark
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Nasser Laouali
- Centre of Research in Epidemiology and Population Health, UMR 1018 Inserm, Institut Gustave Roussy, Paris-Sud Paris-Saclay University, Villejuif, France
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network, Florence, Italy
| | - Peter M Nilsson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aarhus, Denmark
| | - Salvatore Panico
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Olov Rolandsson
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Daniel Redondo-Sánchez
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Andalusian School of Public Health, Granada, Spain
- Institute of Biosanitary Research of Granada, Granada, Spain
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
- Unit of Epidemiology, Regional Health Service ASL TO3, Grugliasco, Turin, Italy
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Centre for Diabetes Research, Neuherberg, Germany
- University of Potsdam, Institute of Nutritional Sciences, Potsdam, Germany
| | | | | | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Azienda Sanitaria Provinciale, Ragusa, Italy
| | | | - John Danesh
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- British Heart Foundation Cambridge Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, UK
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | - Adam S Butterworth
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Elio Riboli
- School of Public Health, Imperial College London, London, UK
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| |
Collapse
|
45
|
Machowicz A, Hall I, de Pablo P, Rauz S, Richards A, Higham J, Poveda-Gallego A, Imamura F, Bowman SJ, Barone F, Fisher BA. Mediterranean diet and risk of Sjögren's syndrome. Clin Exp Rheumatol 2020; 38 Suppl 126:216-221. [PMID: 33095150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 07/29/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVES Non-genetic risk factors for Sjögren's syndrome (SS) are poorly understood. Adherence to a Mediterranean diet has been associated with reduction in other autoimmune diseases. We examined the association of Mediterranean diet with SS. METHODS New patients attending a single centre warranting investigation for primary SS (pSS) were recruited into the Optimising Assessment in Sjögren's Syndrome cohort established in Birmingham, UK (2014-2018). Participants were classified into pSS and non-SS sicca, considered as cases and non-cases, respectively, and asked to complete an optional food frequency questionnaire on their diet before onset of symptoms. A semi-quantitative Mediterranean diet score (MDS) was calculated (possible range=0 to 18). Using multivariate logistic regression, corrected for energy intake, body-mass index, sex, age, symptom duration, and smoking status, we examined the association of MDS with SS. RESULTS Dietary data were available for 133/243 (55%) eligible patients (n=82 pSS and n=51 sicca). In the adjusted model, a higher total MDS (mean ± SD, 9.41±2.31 points) was associated with lower odds of pSS (OR 0.81, 95% CI 0.66-0.99; p=0.038) per one unit of MDS. Among MDS components, the strongest association was seen with fish with OR 0.44 (95% CI 0.24-0.83; p=0.01) in the comparison between <1 portion/week and 1 to 2.5 portions/week. Higher galactose, vitamin A-retinol-equivalents and vitamin C showed associations with lower odds of pSS in multivariate analysis, where the association of vitamin C was attenuated when adjusted for MDS. CONCLUSIONS When adjusted for potential confounders, adherence to the Mediterranean diet was associated with lower likelihood of having pSS.
Collapse
Affiliation(s)
- Aleksander Machowicz
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, UK
| | - Isaac Hall
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, UK
| | - Paola de Pablo
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, and National Institute for Health Research (NIHR) Birmingham Biomedical Research Centre and Department of Rheumatology, University Hospitals Birmingham NHS Foundation Trust, UK
| | - Saaeha Rauz
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, and Academic Unit of Ophthalmology, Birmingham and Midland Eye Centre, UK
| | | | - Jon Higham
- Department of Oral Medicine, Birmingham Dental Hospital, UK
| | - Ana Poveda-Gallego
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, and Department of Oral Medicine, Birmingham Dental Hospital, UK
| | - Fumiaki Imamura
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Simon J Bowman
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, and National Institute for Health Research (NIHR) Birmingham Biomedical Research Centre and Department of Rheumatology, University Hospitals Birmingham NHS Foundation Trust, UK
| | - Francesca Barone
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, and National Institute for Health Research (NIHR) Birmingham Biomedical Research Centre and Department of Rheumatology, University Hospitals Birmingham NHS Foundation Trust, UK
| | - Benjamin A Fisher
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, and National Institute for Health Research (NIHR) Birmingham Biomedical Research Centre and Department of Rheumatology, University Hospitals Birmingham NHS Foundation Trust, UK.
| |
Collapse
|
46
|
Kashino I, Kochi T, Imamura F, Eguchi M, Kuwahara K, Nanri A, Kurotani K, Akter S, Hu H, Miki T, Kabe I, Mizoue T. Prospective association of soft drink consumption with depressive symptoms. Nutrition 2020; 81:110860. [PMID: 32791444 DOI: 10.1016/j.nut.2020.110860] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 04/10/2020] [Accepted: 04/19/2020] [Indexed: 02/08/2023]
Abstract
OBJECTIVE Consumption of soft drinks has become a serious public health issue worldwide. However, prospective evidence is limited regarding the relationship between soft drink consumption and depression, especially in Asia. The aim of this study was to investigate the prospective association between soft drink consumption and the development of depressive symptoms. METHODS We evaluated an occupational cohort of 935 adults in Japan (2012-2016), who were free from depressive symptoms at baseline and attended a 3-y follow-up assessment. Soft drink consumption was assessed using a self-administered diet history questionnaire. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression scale. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated from multivariate logistic regression analysis controlling for sociodemographic, lifestyle, dietary, and occupational covariates. RESULTS Over the 3-y study period, 16.9% (158 cases) of the study participants reported depressive symptoms. Higher soft drink consumption was associated with higher odds of depressive symptoms. The multivariable-adjusted OR was 1.91 (95% CI, 1.11-3.29; Ptrend = 0.015) when comparing soft drink consumption of ≥4 cups/wk with consumption of <1 cup/wk. CONCLUSION The present results suggested that greater consumption of soft drinks would increase the likelihood of exhibiting depressive symptoms.
Collapse
Affiliation(s)
- Ikuko Kashino
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
| | - Takeshi Kochi
- Department of Health Administration, Furukawa Electric Corporation, Tokyo, Japan
| | - Fumiaki Imamura
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, United Kingdom
| | - Masafumi Eguchi
- Department of Health Administration, Furukawa Electric Corporation, Tokyo, Japan
| | - Keisuke Kuwahara
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan; Teikyo University Graduate School of Public Health, Tokyo, Japan
| | - Akiko Nanri
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan; Department of Food and Health Sciences, International College of Arts and Sciences, Fukuoka Women's University, Fukuoka, Japan
| | - Kayo Kurotani
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan; Department of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Shamima Akter
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Huan Hu
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Takako Miki
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Isamu Kabe
- Department of Health Administration, Furukawa Electric Corporation, Tokyo, Japan
| | - Tetsuya Mizoue
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| |
Collapse
|
47
|
Trichia E, Luben R, Khaw KT, Wareham NJ, Imamura F, Forouhi NG. The associations of longitudinal changes in consumption of total and types of dairy products and markers of metabolic risk and adiposity: findings from the European Investigation into Cancer and Nutrition (EPIC)-Norfolk study, United Kingdom. Am J Clin Nutr 2020; 111:1018-1026. [PMID: 31915813 PMCID: PMC7198306 DOI: 10.1093/ajcn/nqz335] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 12/17/2019] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND The consumption of some types of dairy products has been associated with lower cardiometabolic disease incidence. Knowledge remains limited about habitual dairy consumption and the pathways to cardiometabolic risk. OBJECTIVE We aimed to investigate associations of habitual consumption of total and types of dairy products with markers of metabolic risk and adiposity among adults in the United Kingdom. METHODS We examined associations of changes in dairy consumption (assessed with a food-frequency questionnaire) with parallel changes in cardiometabolic markers using multiple linear regression among 15,612 adults aged 40-78 y at baseline (1993-1997) and followed up over 1998-2000 (mean ± SD: 3.7±0.7 y) in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Norfolk study. RESULTS For adiposity, an increase in fermented dairy products [yogurt (total or low-fat) or low-fat cheese] consumption was associated with a lower increase in body weight and body mass index (BMI). For example, over 3.7 y, increasing yogurt consumption by 1 serving/d was associated with a smaller increase in body weight by 0.23 kg (95% CI: -0.46, -0.01 kg). An increase in full-fat milk, high-fat cheese, and total high-fat dairy was associated with greater increases in body weight and BMI [e.g., for high-fat dairy: β = 0.13 (0.05, 0.21) kg and 0.04 (0.01, 0.07) kg/m2, respectively]. For lipids, an increase in milk (total and low-fat) or yogurt consumption was positively associated with HDL cholesterol. An increase in total low-fat dairy was negatively associated with LDL cholesterol (-0.03 mmol/L; -0.05, -0.01 mmol/L), whereas high-fat dairy (total, butter, and high-fat cheese) consumption was positively associated [e.g., 0.04 (0.02, 0.06) mmol/L for total high-fat dairy]. For glycemia, increasing full-fat milk consumption was associated with a higher increase in glycated hemoglobin (P = 0.027). CONCLUSIONS The habitual consumption of different dairy subtypes may differently influence cardiometabolic risk through adiposity and lipid pathways.
Collapse
Affiliation(s)
- Eirini Trichia
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom,Address correspondence to ET (e-mail: )
| | - Robert Luben
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Nicholas J Wareham
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Fumiaki Imamura
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom,Address correspondence to NGF (e-mail: )
| |
Collapse
|
48
|
Hajna S, White T, Panter J, Brage S, Wijndaele K, Woodcock J, Ogilvie D, Imamura F, Griffin SJ. Driving status, travel modes and accelerometer-assessed physical activity in younger, middle-aged and older adults: a prospective study of 90 810 UK Biobank participants. Int J Epidemiol 2020; 48:1175-1186. [PMID: 31004155 PMCID: PMC6693808 DOI: 10.1093/ije/dyz065] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/26/2019] [Indexed: 01/24/2023] Open
Abstract
Background Associations between driving and physical-activity (PA) intensities are unclear, particularly among older adults. We estimated prospective associations of travel modes with total PA, sedentary time (ST), light-intensity PA (LPA), and moderate-to-vigorous intensity PA (MVPA) among adults aged 39–70 years. Methods We studied 90 810 UK Biobank participants (56.1 ± 7.8 years). Driving status, specific travel modes (non-work travel; commuting to/from work) and covariates were assessed by questionnaire (2006–10). PA was assessed over 7 days by wrist-worn accelerometers (2013–15). We estimated associations using overall and age-stratified multivariable linear-regression models. Results Drivers accumulated 1.4% more total PA (95% confidence interval: 0.9, 1.9), 11.2 min/day less ST (–12.9, –9.5), 12.2 min/day more LPA (11.0, 13.3) and 0.9 min/day less MVPA (–1.6, –0.2) than non-drivers. Compared with car/motor-vehicle users, cyclists and walkers had the most optimal activity profiles followed by mixed-mode users (e.g. for non-work travel, cyclists: 10.7% more total PA, 9.0, 12.4; 20.5 min/day less ST, –26.0, –15.0; 14.5 min/day more MVPA, 12.0, 17.2; walkers: 4.2% more total PA, 3.5, 5.0; 7.5 min/day less ST –10.2, –4.9; 10.1 min/day more MVPA, 8.9, 11.3; mixed-mode users: 2.3% more total PA, 1.9, 2.7; 3.4 min/day less ST –4.8, –2.1; 4.9 min/day more MVPA, 4.3, 5.5). Some associations varied by age (p interaction < 0.05), but these differences appeared small. Conclusions Assessing specific travel modes rather than driving status alone may better capture variations in activity. Walking, cycling and, to a lesser degree, mixed-mode use are associated with more optimal activity profiles in adults of all ages.
Collapse
Affiliation(s)
- Samantha Hajna
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK.,UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK
| | - Tom White
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK
| | - Jenna Panter
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK.,UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK
| | - Søren Brage
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK
| | - Katrien Wijndaele
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK
| | - James Woodcock
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK.,UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK
| | - David Ogilvie
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK.,UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK
| | - Fumiaki Imamura
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK
| | - Simon J Griffin
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK.,UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK.,Primary Care Unit, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK
| |
Collapse
|
49
|
Mohammad S, Page SJ, Wang L, Ishii S, Li P, Sasaki T, Basha A, Salzberg A, Quezado Z, Imamura F, Nishi H, Isaka K, Corbin JG, Liu JS, Kawasawa YI, Torii M, Hashimoto-Torii K. Kcnn2 blockade reverses learning deficits in a mouse model of fetal alcohol spectrum disorders. Nat Neurosci 2020; 23:533-543. [PMID: 32203497 PMCID: PMC7131887 DOI: 10.1038/s41593-020-0592-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 01/16/2020] [Indexed: 12/19/2022]
Abstract
Learning disabilities are hallmarks of congenital conditions caused by prenatal exposure to harmful agents. Those include Fetal Alcohol Spectrum Disorders (FASD) with a wide range of cognitive deficiencies including impaired motor skill development. While these effects have been well characterized, the molecular effects that bring about these behavioral consequences remain to be determined. We have previously found that the acute molecular responses to alcohol in the embryonic brain are stochastic, varying among neural progenitor cells. However, the pathophysiological consequences stemming from these heterogeneous responses remain unknown. Here we show that acute responses to alcohol in progenitor cells alter gene expression in their descendant neurons. Among the altered genes, an increase of the calcium-activated potassium channel Kcnn2 in the motor cortex correlates with motor learning deficits in the mouse model of FASD. Pharmacologic blockade of Kcnn2 improves these learning deficits, suggesting Kcnn2 blockers as a novel intervention for learning disabilities in FASD.
Collapse
Affiliation(s)
- Shahid Mohammad
- Center for Neuroscience Research, Children's Research Institute, Children's National Hospital, Washington, DC, USA
| | - Stephen J Page
- Center for Neuroscience Research, Children's Research Institute, Children's National Hospital, Washington, DC, USA
| | - Li Wang
- Center for Neuroscience Research, Children's Research Institute, Children's National Hospital, Washington, DC, USA
| | - Seiji Ishii
- Center for Neuroscience Research, Children's Research Institute, Children's National Hospital, Washington, DC, USA
| | - Peijun Li
- Center for Neuroscience Research, Children's Research Institute, Children's National Hospital, Washington, DC, USA.,Wenzhou Medical University, Ouhai, Wenzhou, China
| | - Toru Sasaki
- Center for Neuroscience Research, Children's Research Institute, Children's National Hospital, Washington, DC, USA.,Department of Obstetrics and Gynecology, Tokyo Medical University, Tokyo, Japan
| | - Aiesha Basha
- Center for Neuroscience Research, Children's Research Institute, Children's National Hospital, Washington, DC, USA
| | - Anna Salzberg
- Department of Pharmacology, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Zenaide Quezado
- The Sheikh Zayed Institute for Pediatric Surgical Innovation, Division of Anesthesiology, Pain and Perioperative Medicine, Children's National Hospital, Washington, DC, USA
| | - Fumiaki Imamura
- Department of Pharmacology, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Hirotaka Nishi
- Department of Obstetrics and Gynecology, Tokyo Medical University, Tokyo, Japan
| | - Keiichi Isaka
- Department of Obstetrics and Gynecology, Tokyo Medical University, Tokyo, Japan
| | - Joshua G Corbin
- Center for Neuroscience Research, Children's Research Institute, Children's National Hospital, Washington, DC, USA.,Department of Pediatrics, Pharmacology and Physiology, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA
| | - Judy S Liu
- Department of Neurology, Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, RI, USA
| | - Yuka Imamura Kawasawa
- Department of Pharmacology, Pennsylvania State University College of Medicine, Hershey, PA, USA. .,Department of Biochemistry and Molecular Biology, Institute for Personalized Medicine, Pennsylvania State University College of Medicine, Hershey, PA, USA.
| | - Masaaki Torii
- Center for Neuroscience Research, Children's Research Institute, Children's National Hospital, Washington, DC, USA. .,Department of Pediatrics, Pharmacology and Physiology, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA.
| | - Kazue Hashimoto-Torii
- Center for Neuroscience Research, Children's Research Institute, Children's National Hospital, Washington, DC, USA. .,Department of Pediatrics, Pharmacology and Physiology, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA.
| |
Collapse
|
50
|
Tong TYN, Koulman A, Griffin JL, Wareham NJ, Forouhi NG, Imamura F. A Combination of Metabolites Predicts Adherence to the Mediterranean Diet Pattern and Its Associations with Insulin Sensitivity and Lipid Homeostasis in the General Population: The Fenland Study, United Kingdom. J Nutr 2020; 150:568-578. [PMID: 31665391 PMCID: PMC7315099 DOI: 10.1093/jn/nxz263] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 07/15/2019] [Accepted: 09/27/2019] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Cardiometabolic benefits of the Mediterranean diet have been recognized, but underlying mechanisms are not fully understood. OBJECTIVES We aimed to investigate how the Mediterranean diet could influence circulating metabolites and how the metabolites could mediate the associations of the diet with cardiometabolic risk factors. METHODS Among 10,806 participants (58.9% women, mean age = 48.4 y) in the Fenland Study (2004-2015) in the United Kingdom, we assessed dietary consumption with FFQs and conducted a targeted metabolomics assay for 175 plasma metabolites (acylcarnitines, amines, sphingolipids, and phospholipids). We examined cross-sectional associations of the Mediterranean diet score (MDS) and its major components with each metabolite, modeling multivariable-adjusted linear regression. We used the regression estimates to summarize metabolites associated with the MDS into a metabolite score as a marker of the diet. Subsequently, we assessed how much metabolite subclasses and the metabolite score would mediate the associations of the MDS with circulating lipids, homeostasis model assessment of insulin resistance (HOMA-IR), and other metabolic factors by comparing regression estimates upon adjustment for the metabolites. RESULTS Sixty-six metabolites were significantly associated with the MDS (P ≤ 0.003, corrected for false discovery rate) (Spearman correlations, r: -0.28 to +0.28). The metabolite score was moderately correlated with the MDS (r = 0.43). Of MDS components, consumption of nuts, cereals, and meats contributed to variations in acylcarnitines; fruits, to amino acids and amines; and fish, to phospholipids. The metabolite score was estimated to explain 37.2% of the inverse association of the MDS with HOMA-IR (P for mediation < 0.05). The associations of the MDS with cardiometabolic factors were estimated to be mediated by acylcarnitines, sphingolipids, and phospholipids. CONCLUSIONS Multiple metabolites relate to the Mediterranean diet in a healthy general British population and highlight the potential to identify a set of biomarkers for an overall diet. The associations may involve pathways of phospholipid metabolism, carnitine metabolism, and development of insulin resistance and dyslipidemia.
Collapse
Affiliation(s)
- Tammy Y N Tong
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom,Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Albert Koulman
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom,National Institute for Health Research Biomedical Research Centres Core Nutritional Biomarker Laboratory, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom,National Institute for Health Research Biomedical Research Centres Core Metabolomics and Lipidomics Laboratory, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom,MRC Elsie Widdowson Laboratory, Cambridge, United Kingdom
| | - Julian L Griffin
- MRC Elsie Widdowson Laboratory, Cambridge, United Kingdom,Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Nita G Forouhi
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom,Address correspondence to NGF (e-mail: )
| | - Fumiaki Imamura
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom,Address correspondence to FI (e-mail: )
| |
Collapse
|