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Sofianopoulou E, Kaptoge SK, Afzal S, Jiang T, Gill D, Gundersen TE, Bolton TR, Allara E, Arnold MG, Mason AM, Chung R, Pennells LAM, Shi F, Sun L, Willeit P, Forouhi NG, Langenberg C, Sharp SJ, Panico S, Engström G, Melander O, Tong TYN, Perez-Cornago A, Norberg M, Johansson I, Katzke V, Srour B, Sánchez MJ, Redondo-Sánchez D, Olsen A, Dahm CC, Overvad K, Brustad M, Skeie G, Moreno-Iribas C, Onland-Moret NC, van der Schouw YT, Tsilidis KK, Heath AK, Agnoli C, Krogh V, de Boer IH, Kobylecki CJ, Çolak Y, Zittermann A, Sundström J, Welsh P, Weiderpass E, Aglago EK, Ferrari P, Clarke R, Boutron MC, Severi G, MacDonald C, Providencia R, Masala G, Zamora-Ros R, Boer J, Verschuren WMM, Cawthon P, Schierbeck LL, Cooper C, Schulze MB, Bergmann MM, Hannemann A, Kiechl S, Brenner H, van Schoor NM, Albertorio JR, Sacerdote C, Linneberg A, Kårhus LL, Huerta JM, Imaz L, Joergensen C, Ben-Shlomo Y, Lundqvist A, Gallacher J, Sattar N, Wood AM, Wareham NJ, Nordestgaard BG, Di Angelantonio E, Danesh J, Butterworth AS, Burgess S. Estimating dose-response relationships for vitamin D with coronary heart disease, stroke, and all-cause mortality: observational and Mendelian randomisation analyses. Lancet Diabetes Endocrinol 2024; 12:e2-e11. [PMID: 38048800 PMCID: PMC7615586 DOI: 10.1016/s2213-8587(23)00287-5] [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: 06/21/2023] [Revised: 09/05/2023] [Accepted: 09/27/2023] [Indexed: 12/06/2023]
Abstract
BACKGROUND Randomised trials of vitamin D supplementation for cardiovascular disease and all-cause mortality have generally reported null findings. However, generalisability of results to individuals with low vitamin D status is unclear. We aimed to characterise dose-response relationships between 25-hydroxyvitamin D (25[OH]D) concentrations and risk of coronary heart disease, stroke, and all-cause mortality in observational and Mendelian randomisation frameworks. METHODS Observational analyses were undertaken using data from 33 prospective studies comprising 500 962 individuals with no known history of coronary heart disease or stroke at baseline. Mendelian randomisation analyses were performed in four population-based cohort studies (UK Biobank, EPIC-CVD, and two Copenhagen population-based studies) comprising 386 406 middle-aged individuals of European ancestries, including 33 546 people who developed coronary heart disease, 18 166 people who had a stroke, and 27 885 people who died. Primary outcomes were coronary heart disease, defined as fatal ischaemic heart disease (International Classification of Diseases 10th revision code I20-I25) or non-fatal myocardial infarction (I21-I23); stroke, defined as any cerebrovascular disease (I60-I69); and all-cause mortality. FINDINGS Observational analyses suggested inverse associations between incident coronary heart disease, stroke, and all-cause mortality outcomes with 25(OH)D concentration at low 25(OH)D concentrations. In population-wide genetic analyses, there were no associations of genetically predicted 25(OH)D with coronary heart disease (odds ratio [OR] per 10 nmol/L higher genetically-predicted 25(OH)D concentration 0·98, 95% CI 0·95-1·01), stroke (1·01, [0·97-1·05]), or all-cause mortality (0·99, 0·95-1·02). Null findings were also observed in genetic analyses for cause-specific mortality outcomes, and in stratified genetic analyses for all outcomes at all observed levels of 25(OH)D concentrations. INTERPRETATION Stratified Mendelian randomisation analyses suggest a lack of causal relationship for 25(OH)D concentrations with both cardiovascular and mortality outcomes for individuals at all levels of 25(OH)D. Our findings suggest that substantial reductions in mortality and cardiovascular morbidity due to long-term low-dose vitamin D supplementation are unlikely even if targeted at individuals with low vitamin D status. FUNDING British Heart Foundation, Medical Research Council, National Institute for Health Research, Health Data Research UK, Cancer Research UK, and International Agency for Research on Cancer.
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Affiliation(s)
- Emerging Risk Factors Collaboration/EPIC-CVD/Vitamin D Studies Collaboration
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
- Faculty of Health and Medical Sciences, Copenhagen University, Denmark
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Vitas Ltd, Oslo, Norway
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Department of Medical Statistics, Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria
- Medical Research Council Epidemiology Unit, University of Cambridge, UK
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
- Dipartimento Di Medicina Clinica E Chirurgia, Federico II University, Italy
- Department of Clinical Sciences Malmö, Lund University, Sweden
- Department of Emergency and Internal Medicine, Skåne University Hospital, Malmö, Sweden
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, UK
- Department of Public Health and Clinical Medicine, Umeå University, Sweden
- Department of Odontology, Umeå University, Sweden
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- EPIC Granada, 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), Madrid, Spain
- Department of Preventive Medicine and Public Health. University of Granada. Granada, Spain
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, Aarhus University, Denmark
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Norway
- The Public Dental Health Service Competence Centre of Northern Norway (TkNN), Tromsø, Norway
- Epidemiology, Prevention and Promotion Health Service, Public Health Institute of Navarra, Spain
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Netherlands
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
- School of Medicine, University of Ioannina, Greece
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Italy
- Department of Medicine, University of Washington, USA
- Clinic for Thoracic and Cardiovascular Surgery, Herz- und Diabeteszentrum Nordrhein-Westfalen, Bad Oeynhausen, Ruhr University Bochum, Germany
- Department of Medical Sciences, Uppsala University, Sweden
- BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
- International Agency for Research on Cancer, France
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, Oxford, UK
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm U1018, Équipe "Exposome et Hérédité", CESP, Gustave Roussy, France
- Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Italy
- Institute of Health Informatics Research, University College London, London, UK
- Institute for Cancer Research, Prevention and Clinical Network – ISPRO, Italy
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- Centre for Nutrition and Health, National Institute for Public Health and the Environment (RIVM)
- Research Institute, California Pacific Medical Center, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, USA
- Cardiology Department, Nordsjælland University Hospital, Hillerød, Denmark
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Faculty of Medicine, University of Southampton, Southampton, UK
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine Greifswald, Germany
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- VASCage, Research Centre on Vascular Ageing and Stroke, Innsbruck, Austria
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Network Aging Research, University of Heidelberg, Heidelberg, Germany
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Netherlands
- Coalition to End Loneliness, USA
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Denmark
- Department of Epidemiology, Murcia Regional Health Council, Instituto Murciano de Investigación Biosanitaria-Arrixaca, Murcia, Spain
- Public Health Division of Bizkaia, Ministry of Health of the Basque Government, Spain
- Biodonostia Health Research Institute, Donostia-San Sebastian, Spain
- Steno Diabetes Center, Copenhagen, Denmark
- Population Health Sciences, University of Bristol, UK
- Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Psychiatry, University of Oxford, Oxford, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
- The Alan Turing Institute, UK
- The Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen University Hospital
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
- Medical Research Council Biostatistics Unit, University of Cambridge, UK
| | - Eleni Sofianopoulou
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Stephen K Kaptoge
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Shoaib Afzal
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
- Faculty of Health and Medical Sciences, Copenhagen University, Denmark
| | - Tao Jiang
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | | | - Thomas R Bolton
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
| | - Elias Allara
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
| | - Matthew G Arnold
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Amy M Mason
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Ryan Chung
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
| | - Lisa AM Pennells
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Fanchao Shi
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Luanluan Sun
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Peter Willeit
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- Department of Medical Statistics, Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria
| | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, University of Cambridge, UK
| | - Claudia Langenberg
- Medical Research Council Epidemiology Unit, University of Cambridge, UK
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Stephen J Sharp
- Medical Research Council Epidemiology Unit, University of Cambridge, UK
| | - Salvatore Panico
- Dipartimento Di Medicina Clinica E Chirurgia, Federico II University, Italy
| | - Gunnar Engström
- Department of Clinical Sciences Malmö, Lund University, Sweden
| | - Olle Melander
- Department of Clinical Sciences Malmö, Lund University, Sweden
- Department of Emergency and Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | - Tammy YN Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, UK
| | - Margareta Norberg
- Department of Public Health and Clinical Medicine, Umeå University, Sweden
| | | | - Verena Katzke
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Bernard Srour
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - María José Sánchez
- EPIC Granada, 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), Madrid, Spain
- Department of Preventive Medicine and Public Health. University of Granada. Granada, Spain
| | - Daniel Redondo-Sánchez
- EPIC Granada, 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), Madrid, Spain
| | - Anja Olsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, Aarhus University, Denmark
| | | | - Kim Overvad
- Department of Public Health, Aarhus University, Denmark
| | - Magritt Brustad
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Norway
- The Public Dental Health Service Competence Centre of Northern Norway (TkNN), Tromsø, Norway
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Norway
| | - Conchi Moreno-Iribas
- The Public Dental Health Service Competence Centre of Northern Norway (TkNN), Tromsø, Norway
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Netherlands
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
- School of Medicine, University of Ioannina, Greece
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Italy
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Italy
| | - Ian H de Boer
- Department of Medicine, University of Washington, USA
| | - Camilla Jannie Kobylecki
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
| | - Yunus Çolak
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
| | - Armin Zittermann
- Clinic for Thoracic and Cardiovascular Surgery, Herz- und Diabeteszentrum Nordrhein-Westfalen, Bad Oeynhausen, Ruhr University Bochum, Germany
| | | | - Paul Welsh
- BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | | | | | | | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, Oxford, UK
| | - Marie-Christine Boutron
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm U1018, Équipe "Exposome et Hérédité", CESP, Gustave Roussy, France
| | - Gianluca Severi
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm U1018, Équipe "Exposome et Hérédité", CESP, Gustave Roussy, France
- Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Italy
| | - Conor MacDonald
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm U1018, Équipe "Exposome et Hérédité", CESP, Gustave Roussy, France
| | - Rui Providencia
- Institute of Health Informatics Research, University College London, London, UK
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network – ISPRO, Italy
| | - Raul Zamora-Ros
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Jolanda Boer
- Centre for Nutrition and Health, National Institute for Public Health and the Environment (RIVM)
| | - WM Monique Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Netherlands
- Centre for Nutrition and Health, National Institute for Public Health and the Environment (RIVM)
| | - Peggy Cawthon
- Research Institute, California Pacific Medical Center, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, USA
| | | | - Cyrus Cooper
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Matthias B Schulze
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Germany
| | - Manuela M Bergmann
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Anke Hannemann
- Institute of Clinical Chemistry and Laboratory Medicine, DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine Greifswald, Germany
| | - Stefan Kiechl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- VASCage, Research Centre on Vascular Ageing and Stroke, Innsbruck, Austria
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Natasja M van Schoor
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Netherlands
| | | | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Denmark
| | - Line L Kårhus
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Denmark
| | - José María Huerta
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, Instituto Murciano de Investigación Biosanitaria-Arrixaca, Murcia, Spain
| | - Liher Imaz
- Public Health Division of Bizkaia, Ministry of Health of the Basque Government, Spain
- Biodonostia Health Research Institute, Donostia-San Sebastian, Spain
| | | | | | | | - John Gallacher
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Angela M Wood
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
- The Alan Turing Institute, UK
| | | | - Børge G Nordestgaard
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
- Faculty of Health and Medical Sciences, Copenhagen University, Denmark
- The Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen University Hospital
| | - Emanuele Di Angelantonio
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
| | - John Danesh
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Adam S Butterworth
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
| | - Stephen Burgess
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Medical Research Council Biostatistics Unit, University of Cambridge, UK
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Rundle M, Fiamoncini J, Thomas EL, Wopereis S, Afman LA, Brennan L, Drevon CA, Gundersen TE, Daniel H, Perez IG, Posma JM, Ivanova DG, Bell JD, van Ommen B, Frost G. Diet-induced Weight Loss and Phenotypic Flexibility Among Healthy Overweight Adults: A Randomized Trial. Am J Clin Nutr 2023; 118:591-604. [PMID: 37661105 PMCID: PMC10517213 DOI: 10.1016/j.ajcnut.2023.07.002] [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] [Received: 12/16/2022] [Revised: 06/28/2023] [Accepted: 07/03/2023] [Indexed: 09/05/2023] Open
Abstract
BACKGROUND The capacity of an individual to respond to changes in food intake so that postprandial metabolic perturbations are resolved, and metabolism returns to its pre-prandial state, is called phenotypic flexibility. This ability may be a more important indicator of current health status than metabolic markers in a fasting state. AIM In this parallel randomized controlled trial study, an energy-restricted healthy diet and 2 dietary challenges were used to assess the effect of weight loss on phenotypic flexibility. METHODS Seventy-two volunteers with overweight and obesity underwent a 12-wk dietary intervention. The participants were randomized to a weight loss group (WLG) with 20% less energy intake or a weight-maintenance group (WMG). At weeks 1 and 12, participants were assessed for body composition by MRI. Concurrently, markers of metabolism and insulin sensitivity were obtained from the analysis of plasma metabolome during 2 different dietary challenges-an oral glucose tolerance test (OGTT) and a mixed-meal tolerance test. RESULTS Intended weight loss was achieved in the WLG (-5.6 kg, P < 0.0001) and induced a significant reduction in total and regional adipose tissue as well as ectopic fat in the liver. Amino acid-based markers of insulin action and resistance such as leucine and glutamate were reduced in the postprandial phase of the OGTT in the WLG by 11.5% and 28%, respectively, after body weight reduction. Weight loss correlated with the magnitude of changes in metabolic responses to dietary challenges. Large interindividual variation in metabolic responses to weight loss was observed. CONCLUSION Application of dietary challenges increased sensitivity to detect metabolic response to weight loss intervention. Large interindividual variation was observed across a wide range of measurements allowing the identification of distinct responses to the weight loss intervention and mechanistic insight into the metabolic response to weight loss.
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Affiliation(s)
- Milena Rundle
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Jarlei Fiamoncini
- Food Research Center, Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil
| | - E Louise Thomas
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom
| | - Suzan Wopereis
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research, Hague, The Netherlands
| | - Lydia A Afman
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Lorraine Brennan
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin, Ireland
| | - Christian A Drevon
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway; Vitas Ltd, Oslo Science Park, Oslo, Norway
| | | | - Hannelore Daniel
- Hannelore Daniel, Molecular Nutrition Unit, Technische Universität München, München, Germany
| | - Isabel Garcia Perez
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Joram M Posma
- Section of Bioinformatics, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Diana G Ivanova
- Department of Biochemistry, Molecular Medicine and Nutrigenomics, Faculty of Pharmacy, Medical University, Varna, Bulgaria
| | - Jimmy D Bell
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom
| | - Ben van Ommen
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research, Hague, The Netherlands
| | - Gary Frost
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom.
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3
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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.
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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
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4
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Fiamoncini J, Donado-Pestana CM, Duarte GBS, Rundle M, Thomas EL, Kiselova-Kaneva Y, Gundersen TE, Bunzel D, Trezzi JP, Kulling SE, Hiller K, Sonntag D, Ivanova D, Brennan L, Wopereis S, van Ommen B, Frost G, Bell J, Drevon CA, Daniel H. Plasma Metabolic Signatures of Healthy Overweight Subjects Challenged With an Oral Glucose Tolerance Test. Front Nutr 2022; 9:898782. [PMID: 35774538 PMCID: PMC9237474 DOI: 10.3389/fnut.2022.898782] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 05/05/2022] [Indexed: 01/02/2023] Open
Abstract
Insulin secretion following ingestion of a carbohydrate load affects a multitude of metabolic pathways that simultaneously change direction and quantity of interorgan fluxes of sugars, lipids and amino acids. In the present study, we aimed at identifying markers associated with differential responses to an OGTT a population of healthy adults. By use of three metabolite profiling platforms, we assessed these postprandial responses of a total of 202 metabolites in plasma of 72 healthy volunteers undergoing comprehensive phenotyping and of which half enrolled into a weight-loss program over a three-month period. A standard oral glucose tolerance test (OGTT) served as dietary challenge test to identify changes in postprandial metabolite profiles. Despite classified as healthy according to WHO criteria, two discrete clusters (A and B) were identified based on the postprandial glucose profiles with a balanced distribution of volunteers based on gender and other measures. Cluster A individuals displayed 26% higher postprandial glucose levels, delayed glucose clearance and increased fasting plasma concentrations of more than 20 known biomarkers of insulin resistance and diabetes previously identified in large cohort studies. The volunteers identified by canonical postprandial responses that form cluster A may be called pre-pre-diabetics and defined as “at risk” for development of insulin resistance. Moreover, postprandial changes in selected fatty acids and complex lipids, bile acids, amino acids, acylcarnitines and sugars like mannose revealed marked differences in the responses seen in cluster A and cluster B individuals that sustained over the entire challenge test period of 240 min. Almost all metabolites, including glucose and insulin, returned to baseline values at the end of the test (at 240 min), except a variety of amino acids and here those that have been linked to diabetes development. Analysis of the corresponding metabolite profile in a fasting blood sample may therefore allow for early identification of these subjects at risk for insulin resistance without the need to undergo an OGTT.
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Affiliation(s)
- Jarlei Fiamoncini
- Department Food and Nutrition, Technische Universität München, Freising, Germany
- Food Research Center, Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil
| | - Carlos M. Donado-Pestana
- Food Research Center, Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil
| | - Graziela Biude Silva Duarte
- Food Research Center, Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil
| | - Milena Rundle
- Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, London, United Kingdom
| | - Elizabeth Louise Thomas
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom
| | - Yoana Kiselova-Kaneva
- Department of Biochemistry, Molecular Medicine and Nutrigenomics, Medical University, Varna, Bulgaria
| | | | - Diana Bunzel
- Department of Safety and Quality of Fruit and Vegetables, Federal Research Institute of Nutrition and Food, Max Rubner-Institut, Karlsruhe, Germany
| | - Jean-Pierre Trezzi
- Braunschweig Integrated Centre of Systems Biology, University of Braunschweig, Braunschweig, Germany
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Sabine E. Kulling
- Department of Safety and Quality of Fruit and Vegetables, Federal Research Institute of Nutrition and Food, Max Rubner-Institut, Karlsruhe, Germany
| | - Karsten Hiller
- Braunschweig Integrated Centre of Systems Biology, University of Braunschweig, Braunschweig, Germany
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | | | - Diana Ivanova
- Department of Biochemistry, Molecular Medicine and Nutrigenomics, Medical University, Varna, Bulgaria
| | - Lorraine Brennan
- UCD School of Agriculture and Food Science, Institute of Food and Health, Conway Institute, University College Dublin, Dublin, Ireland
| | - Suzan Wopereis
- Netherlands Organisation for Applied Scientific Research, Netherlands Institute for Applied Scientific Research, Microbiology and Systems Biology, Zeist, Netherlands
| | - Ben van Ommen
- Netherlands Organisation for Applied Scientific Research, Netherlands Institute for Applied Scientific Research, Microbiology and Systems Biology, Zeist, Netherlands
| | - Gary Frost
- Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, London, United Kingdom
| | - Jimmy Bell
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom
| | - Christian A. Drevon
- Vitas Ltd., Oslo Science Park, Oslo, Norway
- Department of Nutrition, Faculty of Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Hannelore Daniel
- Department Food and Nutrition, Technische Universität München, Freising, Germany
- *Correspondence: Hannelore Daniel
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Sofianopoulou E, Kaptoge SK, Afzal S, Jiang T, Gill D, Gundersen TE, Bolton TR, Allara E, Arnold MG, Mason AM, Chung R, Pennells LAM, Shi F, Sun L, Willeit P, Forouhi NG, Langenberg C, Sharp SJ, Panico S, Engström G, Melander O, Tong TYN, Perez-Cornago A, Norberg M, Johansson I, Katzke V, Srour B, José Sánchez M, Redondo-Sánchez D, Olsen A, Dahm CC, Overvad K, Brustad M, Skeie G, Moreno-Iribas C, Onland-Moret NC, van der Schouw YT, Tsilidis KK, Heath AK, Agnoli C, Krogh V, de Boer IH, Kobylecki CJ, Çolak Y, Zittermann A, Sundström J, Welsh P, Weiderpass E, Aglago EK, Ferrari P, Clarke R, Boutron MC, Severi G, MacDonald C, Providencia R, Masala G, Zamora Ros R, Boer J, Verschuren WMM, Cawthon P, Schierbeck LL, Cooper C, Schulze MB, Bergmann MM, Hannemann A, Kiechl S, Brenner H, van Schoor NM, Albertorio JR, Sacerdote C, Linneberg A, Kårhus LL, Huerta JM, Imaz L, Joergensen C, Ben-Shlomo Y, Lundqvist A, Gallacher J, Sattar N, Wood AM, Wareham NJ, Nordestgaard BG, Di Angelantonio E, Danesh J, Butterworth AS, Burgess S. Estimating dose-response relationships for vitamin D with coronary heart disease, stroke, and all-cause mortality: observational and Mendelian randomisation analyses. Lancet Diabetes Endocrinol 2021; 9:837-846. [PMID: 34717822 PMCID: PMC8600124 DOI: 10.1016/s2213-8587(21)00263-1] [Citation(s) in RCA: 115] [Impact Index Per Article: 38.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 09/02/2021] [Accepted: 09/02/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND Randomised trials of vitamin D supplementation for cardiovascular disease and all-cause mortality have generally reported null findings. However, generalisability of results to individuals with low vitamin D status is unclear. We aimed to characterise dose-response relationships between 25-hydroxyvitamin D (25[OH]D) concentrations and risk of coronary heart disease, stroke, and all-cause mortality in observational and Mendelian randomisation frameworks. METHODS Observational analyses were undertaken using data from 33 prospective studies comprising 500 962 individuals with no known history of coronary heart disease or stroke at baseline. Mendelian randomisation analyses were performed in four population-based cohort studies (UK Biobank, EPIC-CVD, and two Copenhagen population-based studies) comprising 386 406 middle-aged individuals of European ancestries, including 33 546 people who developed coronary heart disease, 18 166 people who had a stroke, and 27 885 people who died. Primary outcomes were coronary heart disease, defined as fatal ischaemic heart disease (International Classification of Diseases 10th revision code I20-I25) or non-fatal myocardial infarction (I21-I23); stroke, defined as any cerebrovascular disease (I60-I69); and all-cause mortality. FINDINGS Observational analyses suggested inverse associations between incident coronary heart disease, stroke, and all-cause mortality outcomes with 25(OH)D concentration at low 25(OH)D concentrations. In population-wide genetic analyses, there were no associations of genetically-predicted 25(OH)D with coronary heart disease, stroke, or all-cause mortality. However, for the participants with vitamin D deficiency (25[OH]D concentration <25 nmol/L), genetic analyses provided strong evidence for an inverse association with all-cause mortality (odds ratio [OR] per 10 nmol/L increase in genetically-predicted 25[OH]D concentration 0·69 [95% CI 0·59-0·80]; p<0·0001) and non-significant inverse associations for stroke (0·85 [0·70-1·02], p=0·09) and coronary heart disease (0·89 [0·76-1·04]; p=0·14). A finer stratification of participants found inverse associations between genetically-predicted 25(OH)D concentrations and all-cause mortality up to around 40 nmol/L. INTERPRETATION Stratified Mendelian randomisation analyses suggest a causal relationship between 25(OH)D concentrations and mortality for individuals with low vitamin D status. Our findings have implications for the design of vitamin D supplementation trials, and potential disease prevention strategies. FUNDING British Heart Foundation, Medical Research Council, National Institute for Health Research, Health Data Research UK, Cancer Research UK, and International Agency for Research on Cancer.
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6
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Navas-Carretero S, San-Cristobal R, Alvarez-Alvarez I, Celis-Morales C, Livingstone KM, O'Donovan CB, Mavrogianni C, Lambrinou CP, Manios Y, Traczyck I, Drevon CA, Marsaux CFM, Saris WHM, Fallaize R, Macready AL, Lovegrove JA, Gundersen TE, Walsh M, Brennan L, Gibney ER, Gibney M, Mathers JC, Martinez JA. Interactions of Carbohydrate Intake and Physical Activity with Regulatory Genes Affecting Glycaemia: A Food4Me Study Analysis. Lifestyle Genom 2021; 14:63-72. [PMID: 34186541 DOI: 10.1159/000515068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 03/02/2020] [Accepted: 02/04/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Carbohydrate intake and physical activity are related to glucose homeostasis, both being influenced by individual genetic makeup. However, the interactions between these 2 factors, as affected by genetics, on glycaemia have been scarcely reported. OBJECTIVE We focused on analysing the interplay between carbohydrate intake and physical activity levels on blood glucose, taking into account a genetic risk score (GRS), based on SNPs related to glucose/energy metabolism. METHODS A total of 1,271 individuals from the Food4Me cohort, who completed the nutritional intervention, were evaluated at baseline. We collected dietary information by using an online-validated food frequency questionnaire, a questionnaire on physical activity, blood biochemistry by analysis of dried blood spots, and by analysis of selected SNPs. Fifteen out of 31 SNPs, with recognized participation in carbohydrate/energy metabolism, were included in the component analyses. The GRS included risk alleles involved in the control of glycaemia or energy-yielding processes. RESULTS Data concerning anthropometric, clinical, metabolic, dietary intake, physical activity, and genetics related to blood glucose levels showed expected trends in European individuals of comparable sex and age, being categorized by lifestyle, BMI, and energy/carbohydrate intakes, in this Food4Me population. Blood glucose was inversely associated with physical activity level (β = -0.041, p = 0.013) and positively correlated with the GRS values (β = 0.015, p = 0.047). Interestingly, an interaction affecting glycaemia, concerning physical activity level with carbohydrate intake, was found (β = -0.060, p = 0.033), which also significantly depended on the genetic background (GRS). CONCLUSIONS The relationships of carbohydrate intake and physical activity are important in understanding glucose homeostasis, where a role for the genetic background should be ascribed.
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Affiliation(s)
- Santiago Navas-Carretero
- Centre for Nutrition Research, School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain.,CIBEROBN, Instituto de Salud Carlos III, Madrid, Spain.,IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Rodrigo San-Cristobal
- Centre for Nutrition Research, School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain
| | - Ismael Alvarez-Alvarez
- Centre for Nutrition Research, School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain
| | - Carlos Celis-Morales
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.,BHF Glasgow cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Katherine M Livingstone
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.,Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Claire B O'Donovan
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin, Ireland
| | | | | | - Yannis Manios
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | - Iwona Traczyck
- Department of Human Nutrition, Faculty of Health Sciences, Medical University of Warsaw, Warsaw, Poland
| | - Christian A Drevon
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Cyril F M Marsaux
- Department of Human Biology, NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Wim H M Saris
- Department of Human Biology, NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Rosalind Fallaize
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom.,Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom
| | - Anna L Macready
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom
| | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom
| | | | - Marianne Walsh
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin, Ireland
| | - Lorraine Brennan
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin, Ireland
| | - Eileen R Gibney
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin, Ireland
| | - Mike Gibney
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin, Ireland
| | - John C Mathers
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - J Alfredo Martinez
- Centre for Nutrition Research, School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain.,CIBEROBN, Instituto de Salud Carlos III, Madrid, Spain.,IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
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7
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Livingstone KM, Celis-Morales C, Navas-Carretero S, San-Cristobal R, Forster H, Woolhead C, O'Donovan CB, Moschonis G, Manios Y, Traczyk I, Gundersen TE, Drevon CA, Marsaux CFM, Fallaize R, Macready AL, Daniel H, Saris WHM, Lovegrove JA, Gibney M, Gibney ER, Walsh M, Brennan L, Martinez JA, Mathers JC. Personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled trial. Int J Behav Nutr Phys Act 2021; 18:70. [PMID: 34092234 PMCID: PMC8183081 DOI: 10.1186/s12966-021-01136-5] [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: 10/15/2020] [Accepted: 05/07/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The effect of personalised nutrition advice on discretionary foods intake is unknown. To date, two national classifications for discretionary foods have been derived. This study examined changes in intake of discretionary foods and beverages following a personalised nutrition intervention using these two classifications. METHODS Participants were recruited into a 6-month RCT across seven European countries (Food4Me) and were randomised to receive generalised dietary advice (control) or one of three levels of personalised nutrition advice (based on diet [L1], phenotype [L2] and genotype [L3]). Dietary intake was derived from an FFQ. An analysis of covariance was used to determine intervention effects at month 6 between personalised nutrition (overall and by levels) and control on i) percentage energy from discretionary items and ii) percentage contribution of total fat, SFA, total sugars and salt to discretionary intake, defined by Food Standards Scotland (FSS) and Australian Dietary Guidelines (ADG) classifications. RESULTS Of the 1607 adults at baseline, n = 1270 (57% female) completed the intervention. Percentage sugars from FSS discretionary items was lower in personalised nutrition vs control (19.0 ± 0.37 vs 21.1 ± 0.65; P = 0.005). Percentage energy (31.2 ± 0.59 vs 32.7 ± 0.59; P = 0.031), percentage total fat (31.5 ± 0.37 vs 33.3 ± 0.65; P = 0.021), SFA (36.0 ± 0.43 vs 37.8 ± 0.75; P = 0.034) and sugars (31.7 ± 0.44 vs 34.7 ± 0.78; P < 0.001) from ADG discretionary items were lower in personalised nutrition vs control. There were greater reductions in ADG percentage energy and percentage total fat, SFA and salt for those randomised to L3 vs L2. CONCLUSIONS Compared with generalised dietary advice, personalised nutrition advice achieved greater reductions in discretionary foods intake when the classification included all foods high in fat, added sugars and salt. Future personalised nutrition approaches may be used to target intake of discretionary foods. TRIAL REGISTRATION Clinicaltrials.gov NCT01530139 . Registered 9 February 2012.
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Affiliation(s)
- Katherine M Livingstone
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, William Leech Building, Newcastle upon Tyne, NE2 4HH, UK
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, 3220, VIC, Australia
| | - Carlos Celis-Morales
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, William Leech Building, Newcastle upon Tyne, NE2 4HH, UK
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
- Research Unit on Education, Physical Activity and Health (GEEAFyS), Universidad Católica del Maule, Talca, Chile
- Centre of Research in Exercise Physiology (CIFE), Universidad Mayor, Santiago, Chile
| | - Santiago Navas-Carretero
- Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain
- CIBERobn, Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Rodrigo San-Cristobal
- Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain
- CIBERobn, Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies), CEI UAM + CSIC, Madrid, Spain
| | - Hannah Forster
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Republic of Ireland
| | - Clara Woolhead
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Republic of Ireland
| | - Clare B O'Donovan
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Republic of Ireland
| | - George Moschonis
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
- Department of Dietetics, Nutrition and Sport, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, 3086, VIC, Australia
| | - Yannis Manios
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | - Iwona Traczyk
- Department of Human Nutrition, Faculty of Health Sciences, Medical University of Warsaw, Warsaw, Poland
| | | | - Christian A Drevon
- Department of Nutrition, Faculty of Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Cyril F M Marsaux
- Department of Human Biology, NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Rosalind Fallaize
- Department of Food and Nutritional Sciences, Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, UK
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK
| | - Anna L Macready
- Department of Food and Nutritional Sciences, Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, UK
| | - Hannelore Daniel
- Molecular Nutrition Unit, Department Food and Nutrition, Technische Universität München, München, Germany
| | - Wim H M Saris
- Department of Human Biology, NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Julie A Lovegrove
- Department of Food and Nutritional Sciences, Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, UK
| | - Mike Gibney
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Republic of Ireland
| | - Eileen R Gibney
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Republic of Ireland
| | - Marianne Walsh
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Republic of Ireland
| | - Lorraine Brennan
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Republic of Ireland
| | - J Alfredo Martinez
- Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain
- CIBERobn, Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies), CEI UAM + CSIC, Madrid, Spain
| | - John C Mathers
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, William Leech Building, Newcastle upon Tyne, NE2 4HH, UK.
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8
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Norheim F, Chella Krishnan K, Bjellaas T, Vergnes L, Pan C, Parks BW, Meng Y, Lang J, Ward JA, Reue K, Mehrabian M, Gundersen TE, Péterfy M, Dalen KT, Drevon CA, Hui ST, Lusis AJ, Seldin MM. Genetic regulation of liver lipids in a mouse model of insulin resistance and hepatic steatosis. Mol Syst Biol 2021; 17:e9684. [PMID: 33417276 PMCID: PMC7792507 DOI: 10.15252/msb.20209684] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [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] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 10/31/2020] [Accepted: 11/10/2020] [Indexed: 12/12/2022] Open
Abstract
To elucidate the contributions of specific lipid species to metabolic traits, we integrated global hepatic lipid data with other omics measures and genetic data from a cohort of about 100 diverse inbred strains of mice fed a high-fat/high-sucrose diet for 8 weeks. Association mapping, correlation, structure analyses, and network modeling revealed pathways and genes underlying these interactions. In particular, our studies lead to the identification of Ifi203 and Map2k6 as regulators of hepatic phosphatidylcholine homeostasis and triacylglycerol accumulation, respectively. Our analyses highlight mechanisms for how genetic variation in hepatic lipidome can be linked to physiological and molecular phenotypes, such as microbiota composition.
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Affiliation(s)
- Frode Norheim
- Division of CardiologyDepartment of MedicineUniversity of California at Los AngelesLos AngelesCAUSA
- Department of NutritionInstitute of Basic Medical SciencesFaculty of MedicineUniversity of OsloOsloNorway
| | | | | | - Laurent Vergnes
- Department of Human GeneticsUniversity of California at Los AngelesLos AngelesCAUSA
| | - Calvin Pan
- Division of CardiologyDepartment of MedicineUniversity of California at Los AngelesLos AngelesCAUSA
| | - Brian W Parks
- Department of Nutritional SciencesUniversity of Wisconsin‐MadisonMadisonWIUSA
| | - Yonghong Meng
- Division of CardiologyDepartment of MedicineUniversity of California at Los AngelesLos AngelesCAUSA
| | - Jennifer Lang
- Division of CardiologyDepartment of MedicineUniversity of California at Los AngelesLos AngelesCAUSA
| | - James A Ward
- Division of CardiologyDepartment of MedicineUniversity of California at Los AngelesLos AngelesCAUSA
| | - Karen Reue
- Department of Human GeneticsUniversity of California at Los AngelesLos AngelesCAUSA
| | - Margarete Mehrabian
- Division of CardiologyDepartment of MedicineUniversity of California at Los AngelesLos AngelesCAUSA
| | | | - Miklós Péterfy
- Division of CardiologyDepartment of MedicineUniversity of California at Los AngelesLos AngelesCAUSA
- Depatrment of Basic Medical SciencesWestern University of Health SciencesPomonaCAUSA
| | - Knut T Dalen
- Department of NutritionInstitute of Basic Medical SciencesFaculty of MedicineUniversity of OsloOsloNorway
| | - Christian A Drevon
- Department of NutritionInstitute of Basic Medical SciencesFaculty of MedicineUniversity of OsloOsloNorway
- Vitas ASOsloNorway
| | - Simon T Hui
- Division of CardiologyDepartment of MedicineUniversity of California at Los AngelesLos AngelesCAUSA
| | - Aldons J Lusis
- Division of CardiologyDepartment of MedicineUniversity of California at Los AngelesLos AngelesCAUSA
- Department of Human GeneticsUniversity of California at Los AngelesLos AngelesCAUSA
| | - Marcus M Seldin
- Division of CardiologyDepartment of MedicineUniversity of California at Los AngelesLos AngelesCAUSA
- Department of Biological Chemistry and Center for Epigenetics and MetabolismUniversity of California, IrvineIrvineCAUSA
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9
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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.
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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.
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10
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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.
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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
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11
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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.
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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
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12
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Øyri LKL, Bogsrud MP, Kristiansen AL, Myhre JB, Retterstøl K, Brekke HK, Gundersen TE, Andersen LF, Holven KB. Infant cholesterol and glycated haemoglobin concentrations vary widely-Associations with breastfeeding, infant diet and maternal biomarkers. Acta Paediatr 2020; 109:115-121. [PMID: 31299108 DOI: 10.1111/apa.14936] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 05/03/2019] [Accepted: 07/09/2019] [Indexed: 01/19/2023]
Abstract
AIM Elevated total cholesterol (TC) and glycated haemoglobin (HbA1c) are risk factors for cardiovascular disease; however, little is known about their determinants in infants. We aimed to describe TC and HbA1c concentrations in infants aged 8-14 months and explore the relation between infant TC, HbA1c, breastfeeding, infant diet, and maternal TC and HbA1c. METHODS In this cross-sectional pilot study, mothers of infants aged 6 and 12 months were invited to complete a food frequency questionnaire and to take home-based dried blood spot samples from themselves and their infants. RESULTS Among the 143 included infants, the mean (SD, range) concentration was 4.1 (0.8, 2.3-6.6) mmol/L for TC and 4.9 (0.4, 3.7-6.0)% for HbA1c. There was no significant difference between age groups and sexes. There was a positive relation between TC concentrations of all infants and mothers (B = 0.30 unadjusted, B = 0.32 adjusted, P < .001 for both) and a negative relation between infant TC and intake of unsaturated fatty acids in the oldest age group (B = -0.09, P = .03 unadjusted, B = -0.08, P = .06 adjusted). Infant HbA1c was not significantly related to diet or maternal HbA1c. CONCLUSION TC and HbA1c concentrations varied widely among infants aged 8-14 months. Infant TC was associated with macronutrient intake and maternal TC.
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Affiliation(s)
| | - Martin P. Bogsrud
- Unit for Cardiac and Cardiovascular Genetics, Department of Medical Genetics Oslo University Hospital Oslo Norway
- Norwegian National Advisory Unit on Familial Hypercholesterolemia, Department of Endocrinology, Morbid Obesity and Preventive Medicine Oslo University Hospital Oslo Norway
| | | | | | - Kjetil Retterstøl
- Department of Nutrition University of Oslo Oslo Norway
- The Lipid Clinic, Department of Endocrinology, Morbid Obesity and Preventive Medicine Oslo University Hospital Oslo Norway
| | | | | | | | - Kirsten B. Holven
- Department of Nutrition University of Oslo Oslo Norway
- Norwegian National Advisory Unit on Familial Hypercholesterolemia, Department of Endocrinology, Morbid Obesity and Preventive Medicine Oslo University Hospital Oslo Norway
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13
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Zheng JS, Imamura F, Sharp SJ, van der Schouw YT, Sluijs I, Gundersen TE, Ardanaz E, Boeing H, Bonet C, Gómez JH, Dow C, Fagherazzi G, Franks PW, Jenab M, Kühn T, Kaaks R, Key TJ, Khaw KT, Lasheras C, Mokoroa O, Mancini FR, Nilsson PM, Overvad K, Panico S, Palli D, Rolandsson O, Sieri S, Salamanca-Fernández E, Sacerdote C, Spijkerman AMW, Stepien M, Tjonneland A, Tumino R, Butterworth AS, Riboli E, Danesh J, Langenberg C, Forouhi NG, Wareham NJ. Association of Plasma Vitamin D Metabolites With Incident Type 2 Diabetes: EPIC-InterAct Case-Cohort Study. J Clin Endocrinol Metab 2019; 104:1293-1303. [PMID: 30418614 PMCID: PMC6397435 DOI: 10.1210/jc.2018-01522] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [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] [Received: 07/12/2018] [Accepted: 11/06/2018] [Indexed: 01/12/2023]
Abstract
BACKGROUND Existing evidence for the prospective association of vitamin D status with type 2 diabetes (T2D) is focused almost exclusively on circulating total 25-hydroxyvitamin D [25(OH)D] without distinction between its subtypes: nonepimeric and epimeric 25(OH)D3 stereoisomers, and 25(OH)D2, the minor component of 25(OH)D. We aimed to investigate the prospective associations of circulating levels of the sum and each of these three metabolites with incident T2D. METHODS This analysis in the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct case-cohort study for T2D included 9671 incident T2D cases and 13,562 subcohort members. Plasma vitamin D metabolites were quantified by liquid chromatography-mass spectrometry. We used a multivariable Prentice-weighted Cox regression to estimate hazard ratios (HRs) of T2D for each metabolite. Analyses were performed separately within country, and estimates were combined across countries using random-effects meta-analysis. RESULTS The mean concentrations (SD) of total 25(OH)D, nonepimeric 25(OH)D3, epimeric 25(OH)D3, and 25(OH)D2 were 41.1 (17.2), 40.7 (17.3), 2.13 (1.31), and 8.16 (6.52) nmol/L, respectively. Plasma total 25(OH)D and nonepimeric 25(OH)D3 were inversely associated with incident T2D [multivariable-adjusted HR per 1 SD = 0.81 (95% CI, 0.77, 0.86) for both variables], whereas epimeric 25(OH)D3 was positively associated [per 1 SD HR = 1.16 (1.09, 1.25)]. There was no statistically significant association with T2D for 25(OH)D2 [per 1 SD HR = 0.94 (0.76, 1.18)]. CONCLUSIONS Plasma nonepimeric 25(OH)D3 was inversely associated with incident T2D, consistent with it being the major metabolite contributing to total 25(OH)D. The positive association of the epimeric form of 25(OH)D3 with incident T2D provides novel information to assess the biological relevance of vitamin D epimerization and vitamin D subtypes in diabetes etiology.
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Affiliation(s)
- Ju-Sheng Zheng
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Fumiaki Imamura
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Stephen J Sharp
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | | | - Ivonne Sluijs
- University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | | | - Eva Ardanaz
- Navarra Public Health Institute, Pamplona, Spain
- Navarra Institute for Health Research, Pamplona, Spain
- Biomedical Research Center Network of Epidemiology and Public Health, Madrid, Spain
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Catalina Bonet
- Catalan Institute of Oncology–Bellvitge Biomedical Research Institute, Barcelona, Spain
| | - Jesus Humberto Gómez
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Courtney Dow
- Center for Research in Epidemiology and Population Health, Faculty of Medicine - University Paris-South, Faculty of Medicine INSERM U1018, University Paris-Saclay, Villejuif, France
- Gustave Roussy, Université Paris-Sud, Université Paris-Saclay, Villejuif, France
| | - Guy Fagherazzi
- Center for Research in Epidemiology and Population Health, Faculty of Medicine - University Paris-South, Faculty of Medicine INSERM U1018, University Paris-Saclay, Villejuif, France
- Gustave Roussy, Université Paris-Sud, Université Paris-Saclay, Villejuif, France
| | - Paul W Franks
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Mazda Jenab
- International Agency for Research on Cancer, Lyon, France
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | | | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Cristina Lasheras
- Department of Functional Biology, Faculty of Medicine, University of Oviedo, Oviedo, Spain
| | - Olatz Mokoroa
- Biomedical Research Center Network of Epidemiology and Public Health, Madrid, Spain
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain
| | - Francesca Romana Mancini
- Center for Research in Epidemiology and Population Health, Faculty of Medicine - University Paris-South, Faculty of Medicine INSERM U1018, University Paris-Saclay, Villejuif, France
- Gustave Roussy, Université Paris-Sud, Université Paris-Saclay, Villejuif, France
| | - Peter M Nilsson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, 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, Florence, Italy
| | | | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCSS Istituto Nazionale dei Tumori, Milan, Italy
| | - Elena Salamanca-Fernández
- Biomedical Research Center Network of Epidemiology and Public Health, Madrid, Spain
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs and Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza Hospital-University of Turin and Center for Cancer Prevention, Torino, Italy
| | | | | | | | | | - Adam S Butterworth
- Medical Research Council/ British Heart Foundation Cardiovascular Epidemiology Unit and 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
| | - John Danesh
- Medical Research Council/ British Heart Foundation Cardiovascular Epidemiology Unit and 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, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Claudia Langenberg
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Nicholas J Wareham
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
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14
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Norheim F, Bjellaas T, Hui ST, Chella Krishnan K, Lee J, Gupta S, Pan C, Hasin-Brumshtein Y, Parks BW, Li DY, Bui HH, Mosier M, Wu Y, Huertas-Vazquez A, Hazen SL, Gundersen TE, Mehrabian M, Tang WHW, Hevener AL, Drevon CA, Lusis AJ. Genetic, dietary, and sex-specific regulation of hepatic ceramides and the relationship between hepatic ceramides and IR. J Lipid Res 2018; 59:1164-1174. [PMID: 29739864 PMCID: PMC6027922 DOI: 10.1194/jlr.m081398] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [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: 10/24/2017] [Revised: 03/30/2018] [Indexed: 01/02/2023] Open
Abstract
Elevated hepatic ceramide levels have been implicated in both insulin resistance (IR) and hepatic steatosis. To understand the factors contributing to hepatic ceramide levels in mice of both sexes, we have quantitated ceramides in a reference population of mice, the Hybrid Mouse Diversity Panel that has been previously characterized for a variety of metabolic syndrome traits. We observed significant positive correlations between Cer(d18:1/16:0) and IR/hepatic steatosis, consistent with previous findings, although the relationship broke down between sexes, as females were less insulin resistant, but had higher Cer(d18:1/16:0) levels than males. The sex difference was due in part to testosterone-mediated repression of ceramide synthase 6. One ceramide species, Cer(d18:1/20:0), was present at higher levels in males and was associated with IR only in males. Clear evidence of gene-by-sex and gene-by-diet interactions was observed, including sex-specific genome-wide association study results. Thus, our studies show clear differences in how hepatic ceramides are regulated between the sexes, which again suggests that the physiological roles of certain hepatic ceramides differ between the sexes.
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Affiliation(s)
- Frode Norheim
- Division of Cardiology University of California at Los Angeles, Los Angeles, CA
| | | | - Simon T Hui
- Division of Cardiology University of California at Los Angeles, Los Angeles, CA
| | | | - Jakleen Lee
- Division of Cardiology University of California at Los Angeles, Los Angeles, CA
| | - Sonul Gupta
- Division of Cardiology University of California at Los Angeles, Los Angeles, CA
| | - Calvin Pan
- Division of Cardiology University of California at Los Angeles, Los Angeles, CA
| | | | - Brian W Parks
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI
| | - Daniel Y Li
- Division of Cardiology University of California at Los Angeles, Los Angeles, CA
- Cleveland Clinic Lerner College of Medicine of Case Western University, Cleveland, OH
| | - Hai H Bui
- Lilly Research Laboratories, Indianapolis, IN
| | | | - Yuping Wu
- Department of Mathematics, Cleveland State University, Cleveland OH
| | | | - Stanley L Hazen
- Department of Cellular and Molecular Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
| | | | - Margarete Mehrabian
- Division of Cardiology University of California at Los Angeles, Los Angeles, CA
| | - W H Wilson Tang
- Department of Cellular and Molecular Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
| | - Andrea L Hevener
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, University of California at Los Angeles, Los Angeles, CA
| | - Christian A Drevon
- VITAS Analytical Services, Oslo, Norway
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Aldons J Lusis
- Division of Cardiology University of California at Los Angeles, Los Angeles, CA
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15
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Lee S, Norheim F, Gulseth HL, Langleite TM, Aker A, Gundersen TE, Holen T, Birkeland KI, Drevon CA. Skeletal muscle phosphatidylcholine and phosphatidylethanolamine respond to exercise and influence insulin sensitivity in men. Sci Rep 2018; 8:6531. [PMID: 29695812 PMCID: PMC5916947 DOI: 10.1038/s41598-018-24976-x] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [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: 12/08/2017] [Accepted: 04/05/2018] [Indexed: 11/09/2022] Open
Abstract
Phosphatidylcholine (PC) and phosphatidylethanolamine (PE) composition in skeletal muscle have been linked to insulin sensitivity. We evaluated the relationships between skeletal muscle PC:PE, physical exercise and insulin sensitivity. We performed lipidomics and measured PC and PE in m. vastus lateralis biopsies obtained from 13 normoglycemic normal weight men and 13 dysglycemic overweight men at rest, immediately after 45 min of cycling at 70% maximum oxygen uptake, and 2 h post-exercise, before as well as after 12 weeks of combined endurance- and strength-exercise intervention. Insulin sensitivity was monitored by euglycemic-hyperinsulinemic clamp. RNA-sequencing was performed on biopsies, and mitochondria and lipid droplets were quantified on electron microscopic images. Exercise intervention for 12 w enhanced insulin sensitivity by 33%, skeletal muscle levels of PC by 21%, PE by 42%, and reduced PC:PE by 16%. One bicycle session reduced PC:PE by 5%. PC:PE correlated negatively with insulin sensitivity (β = -1.6, P < 0.001), percent area of mitochondria (ρ = -0.52, P = 0.035), and lipid droplet area (ρ = 0.55, P = 0.017) on EM pictures, and negatively with oxidative phosphorylation and mTOR based on RNA-sequencing. In conclusion, PC and PE contents of skeletal muscle respond to exercise, and PC:PE is inversely related to insulin sensitivity.
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Affiliation(s)
- Sindre Lee
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway. .,Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway.
| | - Frode Norheim
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway.,Department of Medicine, Division of Cardiology, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Hanne L Gulseth
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Torgrim M Langleite
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
| | | | | | - Torgeir Holen
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Kåre I Birkeland
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, Faculty of medicine, University of Oslo, Oslo, Norway
| | - Christian A Drevon
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
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16
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Jiang X, O'Reilly PF, Aschard H, Hsu YH, Richards JB, Dupuis J, Ingelsson E, Karasik D, Pilz S, Berry D, Kestenbaum B, Zheng J, Luan J, Sofianopoulou E, Streeten EA, Albanes D, Lutsey PL, Yao L, Tang W, Econs MJ, Wallaschofski H, Völzke H, Zhou A, Power C, McCarthy MI, Michos ED, Boerwinkle E, Weinstein SJ, Freedman ND, Huang WY, Van Schoor NM, van der Velde N, Groot LCPGMD, Enneman A, Cupples LA, Booth SL, Vasan RS, Liu CT, Zhou Y, Ripatti S, Ohlsson C, Vandenput L, Lorentzon M, Eriksson JG, Shea MK, Houston DK, Kritchevsky SB, Liu Y, Lohman KK, Ferrucci L, Peacock M, Gieger C, Beekman M, Slagboom E, Deelen J, Heemst DV, Kleber ME, März W, de Boer IH, Wood AC, Rotter JI, Rich SS, Robinson-Cohen C, den Heijer M, Jarvelin MR, Cavadino A, Joshi PK, Wilson JF, Hayward C, Lind L, Michaëlsson K, Trompet S, Zillikens MC, Uitterlinden AG, Rivadeneira F, Broer L, Zgaga L, Campbell H, Theodoratou E, Farrington SM, Timofeeva M, Dunlop MG, Valdes AM, Tikkanen E, Lehtimäki T, Lyytikäinen LP, Kähönen M, Raitakari OT, Mikkilä V, Ikram MA, Sattar N, Jukema JW, Wareham NJ, Langenberg C, Forouhi NG, Gundersen TE, Khaw KT, Butterworth AS, Danesh J, Spector T, Wang TJ, Hyppönen E, Kraft P, Kiel DP. Genome-wide association study in 79,366 European-ancestry individuals informs the genetic architecture of 25-hydroxyvitamin D levels. Nat Commun 2018; 9:260. [PMID: 29343764 PMCID: PMC5772647 DOI: 10.1038/s41467-017-02662-2] [Citation(s) in RCA: 244] [Impact Index Per Article: 40.7] [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] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Accepted: 12/15/2017] [Indexed: 12/19/2022] Open
Abstract
Vitamin D is a steroid hormone precursor that is associated with a range of human traits and diseases. Previous GWAS of serum 25-hydroxyvitamin D concentrations have identified four genome-wide significant loci (GC, NADSYN1/DHCR7, CYP2R1, CYP24A1). In this study, we expand the previous SUNLIGHT Consortium GWAS discovery sample size from 16,125 to 79,366 (all European descent). This larger GWAS yields two additional loci harboring genome-wide significant variants (P = 4.7×10-9 at rs8018720 in SEC23A, and P = 1.9×10-14 at rs10745742 in AMDHD1). The overall estimate of heritability of 25-hydroxyvitamin D serum concentrations attributable to GWAS common SNPs is 7.5%, with statistically significant loci explaining 38% of this total. Further investigation identifies signal enrichment in immune and hematopoietic tissues, and clustering with autoimmune diseases in cell-type-specific analysis. Larger studies are required to identify additional common SNPs, and to explore the role of rare or structural variants and gene-gene interactions in the heritability of circulating 25-hydroxyvitamin D levels.
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Affiliation(s)
- Xia Jiang
- Program in Genetic Epidemiology and Statistical Genetics. Department of Epidemiology, Harvard T.H.Chan School of Public Health, 677 Huntington Avenue, Boston, 02115, MA, USA
- Unit of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Nobels vagen 13, Stockholm, 17177, Sweden
| | - Paul F O'Reilly
- Department of Social Genetic & Developmental Psychiatry, King's College London, Institute of Psychiatry, De Crespigny Park, London, SE5 8AF, UK
| | - Hugues Aschard
- Program in Genetic Epidemiology and Statistical Genetics. Department of Epidemiology, Harvard T.H.Chan School of Public Health, 677 Huntington Avenue, Boston, 02115, MA, USA
- Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur, Paris, 75724, France
| | - Yi-Hsiang Hsu
- Institute for Aging Research, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, 02115, USA
- Broad Institute of Harvard and Massachusetts Institute of Technology, Boston, MA, 02142, USA
| | - J Brent Richards
- Departments of Medicine, Human Genetics, Epidemiology and Biostatistics, 3755 Côte Ste-Catherine Road, Suite H-413 Montréal, Québec, H3T 1E2, Canada
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Crosstown Center. 801 Massachusetts Avenue 3rd Floor, Boston, MA, 02118, USA
- Framingham Heart Study, 73 Mt. Wayte Avenue, Framingham, MA, 01702, USA
| | - Erik Ingelsson
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine Stanford, Stanford, CA, 94305, USA
- Department of Medical Sciences, Uppsala University, 751 85, Uppsala, Sweden
| | - David Karasik
- Institute for Aging Research, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA
| | - Stefan Pilz
- Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Austria
| | - Diane Berry
- Population, Policy and Practice, University College London, Great Ormond Street, Institute of Child Health, London, WC1E 6BT, UK
| | - Bryan Kestenbaum
- Kidney Research Institute, Division of Nephrology, 325 Ninth Avenue, Seattle, WA, 98104, USA
| | - Jusheng Zheng
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Jianan Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Eleni Sofianopoulou
- Department of Public Health & Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge, CB1 8RN, UK
| | - Elizabeth A Streeten
- Genetics and Personalized Medicine Program, University of Maryland School of Medicine, Howard Hall Room 567, Baltimore, MD, 21201, USA
| | - Demetrius Albanes
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892, USA
| | - Pamela L Lutsey
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, 1300S 2nd Street, Suite 300, Minneapolis, MN, 55454, USA
| | - Lu Yao
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, 1300S 2nd Street, Suite 300, Minneapolis, MN, 55454, USA
| | - Weihong Tang
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, 1300S 2nd Street, Suite 300, Minneapolis, MN, 55454, USA
| | - Michael J Econs
- Department of Medicine, Indiana University, Endocrinology, 1120W Michigan Street, Indianapolis, IN, 46202-5124, USA
| | - Henri Wallaschofski
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17489, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site, Greifswald, 13316, Berlin, Germany
| | - Henry Völzke
- DZHK (German Centre for Cardiovascular Research), Partner Site, Greifswald, 13316, Berlin, Germany
- Institut für Community Medicine, SHIP/Klinisch-Epidemiologische Forschung, Universitätsmedizin Greifswald, Walther-Rathenau-Str. 48, 17475, Greifswald, Germany
| | - Ang Zhou
- Centre for Population Health Research, Sansom Institute for Health Research, University of South Australia, Adelaide, 5001, SA, Australia
| | - Chris Power
- Population, Policy and Practice, University College London, Great Ormond Street, Institute of Child Health, London, WC1E 6BT, UK
| | - Mark I McCarthy
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Old Road, Headington, Oxford, OX3 7LJ, UK
- Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Headington, Oxford, OX3 7BN, UK
- Oxford NIHR Biomedical Research Centre, Churchill Hospital, Old Road, Headington, Oxford, OX3 7LJ, UK
| | - Erin D Michos
- Division of Cardiology, Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins School of Medicine, Baltimore, MD, 21287, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Stephanie J Weinstein
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892, USA
| | - Neal D Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892, USA
| | - Wen-Yi Huang
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892, USA
| | - Natasja M Van Schoor
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
| | - Nathalie van der Velde
- Erasmus MC Department of Epidemiology, Postbus 2040, 3000CA, Rotterdam, The Netherlands
- AMC, Internal Medicine, Geriatrics Department, PO Box 22700, 1100 DE, Amsterdam, The Netherlands
| | - Lisette C P G M de Groot
- Department of Human Nutrition, Wageningen University, PO-box 17, 6700 AA, Wageningen, The Netherlands
| | - Anke Enneman
- Erasmus MC Department of Epidemiology, Postbus 2040, 3000CA, Rotterdam, The Netherlands
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Crosstown Center. 801 Massachusetts Avenue 3rd Floor, Boston, MA, 02118, USA
- Framingham Heart Study, 73 Mt. Wayte Avenue, Framingham, MA, 01702, USA
| | - Sarah L Booth
- Vitamin K Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, 711 Washington Street, Boston, MA, 02111, USA
| | | | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Crosstown Center. 801 Massachusetts Avenue 3rd Floor, Boston, MA, 02118, USA
| | - Yanhua Zhou
- Department of Biostatistics, Boston University School of Public Health, Crosstown Center. 801 Massachusetts Avenue 3rd Floor, Boston, MA, 02118, USA
| | - Samuli Ripatti
- Statistical and Translational Genetics, University of Helsinki, Tukholmankatu 8, Building, Biomedicum, Helsinki 2U, Finland
| | - Claes Ohlsson
- Department of Internal Medicine and Clinical Nutrition, University of Gothenburg, Vita Stråket 11, Gothenburg, 41345, Sweden
| | - Liesbeth Vandenput
- Department of Internal Medicine and Clinical Nutrition, University of Gothenburg, Vita Stråket 11, Gothenburg, 41345, Sweden
| | - Mattias Lorentzon
- Department of Geriatric Medicine, University of Gothenburg and Sahlgrenska University Hospital, Mölndal, 43180, Sweden
| | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, University of Helsinki, P.O. Box 20, Tukholmankatu, 8 B 00014, Finland
- Folkhälsan Research Center, University of Helsinki, Helsinki, PO Box 2000014, Finland
| | - M Kyla Shea
- Vitamin K Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, 711 Washington Street, Boston, MA, 02111, USA
| | - Denise K Houston
- Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA
| | - Stephen B Kritchevsky
- Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA
| | - Kurt K Lohman
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, Intramural Research Program of the National Institute on Aging, NIH, Baltimore, MD, 21225, USA
| | - Munro Peacock
- Department of Medicine, Indiana University, Endocrinology, 1120W Michigan Street, Indianapolis, IN, 46202-5124, USA
| | - Christian Gieger
- German Research Center for Environmental Health, Molecular Epidemiology, AME, Ingolstädter Landstr 1, D-85764, Neuherberg, Germany
| | - Marian Beekman
- Molecular Epidemiology, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Eline Slagboom
- Molecular Epidemiology, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Joris Deelen
- Molecular Epidemiology, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
- Max Planck Institute for Biology of Ageing, Joseph-Stelzmann-Str. 9b, D-50931, Köln (Cologne), Germany
| | - Diana van Heemst
- Gerontology and Geriatrics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Marcus E Kleber
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Theodor-Kutzer-Ufer1, 68167, Mannheim, Germany
| | - Winfried März
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Theodor-Kutzer-Ufer1, 68167, Mannheim, Germany
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Graz, Austria
- SYNLAB Holding Deutschland GmbH, Gubener Straße 39, 86156, Augsburg, Germany
| | - Ian H de Boer
- Division of Nephrology and Kidney Research Institute, University of Washington, 325 ninth Avenue, Washington, DC, 98104, USA
| | - Alexis C Wood
- USDA/ARS Children's Nutrition Research Center, 1100 Bates Avenue, Houston, TX, 77071, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Stephen S Rich
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, 22908, USA
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Cassianne Robinson-Cohen
- Division of Nephrology, Department of Medicine, Vanderbilt University Medical Center, 1161 21st Ave S., Nashville, TN, 37232, USA
| | - Martin den Heijer
- Erasmus MC Department of Internal Medicine, Postbus 2040, 3000CA, Rotterdam, The Netherlands
| | - Marjo-Riitta Jarvelin
- Epidemiology and Biostatistics School of Public Health, Imperial College London, 156 Norfolk Place, St. Mary's Campus, London, UK W2 1PG, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, 90014, Oulu, Finland
- Biocenter Oulu, University of Oulu, P.O. Box 5000, Aapistie 5A, FI-90014, Finland
- Unit of Primary Care, Oulu University Hospital, Kajaanintie 50, P.O. Box 20, FI-90220 Oulu, 90029 OYS, Finland
| | - Alana Cavadino
- Population, Policy and Practice, University College London, Great Ormond Street, Institute of Child Health, London, WC1E 6BT, UK
- Centre for Environmental and Preventive Medicine, Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, UK
| | - James F Wilson
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, UK
- MRC Human Genetics Unit, MRC Institute of Genetics & Molecular Medicine, the University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Caroline Hayward
- MRC Human Genetics Unit, MRC Institute of Genetics & Molecular Medicine, the University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, 751 85, Uppsala, Sweden
| | - Karl Michaëlsson
- Department of Surgical Sciences, Uppsala University, Dag Hammarskjöldsv 14 B, Uppsala Science Park, 751 85, Uppsala, Sweden
| | - Stella Trompet
- Gerontology and Geriatrics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, Netherlands
| | - M Carola Zillikens
- Erasmus MC Department of Internal Medicine, Postbus 2040, 3000CA, Rotterdam, The Netherlands
| | - Andre G Uitterlinden
- Erasmus MC Department of Epidemiology, Postbus 2040, 3000CA, Rotterdam, The Netherlands
- Erasmus MC Department of Internal Medicine, Postbus 2040, 3000CA, Rotterdam, The Netherlands
| | - Fernando Rivadeneira
- Erasmus MC Department of Epidemiology, Postbus 2040, 3000CA, Rotterdam, The Netherlands
- Erasmus MC Department of Internal Medicine, Postbus 2040, 3000CA, Rotterdam, The Netherlands
| | - Linda Broer
- Erasmus MC Department of Internal Medicine, Postbus 2040, 3000CA, Rotterdam, The Netherlands
| | - Lina Zgaga
- Department of Public Health and Primary Care, Institute of Population Health, Trinity College Dublin, University of Dublin, Dublin 24, D02 PN40, Ireland
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, UK
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Evropi Theodoratou
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, UK
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Susan M Farrington
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Maria Timofeeva
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Malcolm G Dunlop
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Ana M Valdes
- The Department of Twin Research & Genetic Epidemiology, King's College London, St Thomas' Campus, Westminster Bridge Road, London, SE1 7EH, UK
- School of Medicine, University of Nottingham, City Hospital, Hucknall Rd, Nottingham, NG5 1PB, UK
| | - Emmi Tikkanen
- FIMM-Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, P.O. Box 20, FI-00014, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, 33520, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, 33014, Finland
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, 33520, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, 33014, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, 33521, Finland
- Department of Clinical Physiology, Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, 33014, Finland
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, 20521, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, 20014, Finland
| | - Vera Mikkilä
- Science Adviser at Academy of Finland, Hakaniemenranta 6, PO Box 131, FI-00531, Helsinki, Finland
| | - M Arfan Ikram
- Erasmus MC Department of Epidemiology, Postbus 2040, 3000CA, Rotterdam, The Netherlands
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, University Avenue, Glasgow, G12 8QQ, UK
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Claudia Langenberg
- 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
| | | | - Kay-Tee Khaw
- Department of Public Health & Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge, CB1 8RN, UK
| | - Adam S Butterworth
- Department of Public Health & Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge, CB1 8RN, UK
| | - John Danesh
- Department of Public Health & Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge, CB1 8RN, UK
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Timothy Spector
- The Department of Twin Research & Genetic Epidemiology, King's College London, St Thomas' Campus, Westminster Bridge Road, London, SE1 7EH, UK
| | - Thomas J Wang
- Division of Cardiovascular Medicine, Vanderbilt Heart and Vascular Institute, 2220 Pierce Avenue 383 Preston Research Building, Nashville, TN, 37232-6300, USA
| | - Elina Hyppönen
- Population, Policy and Practice, University College London, Great Ormond Street, Institute of Child Health, London, WC1E 6BT, UK.
- Centre for Population Health Research, Sansom Institute for Health Research, University of South Australia, Adelaide, 5001, SA, Australia.
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics. Department of Epidemiology, Harvard T.H.Chan School of Public Health, 677 Huntington Avenue, Boston, 02115, MA, USA
| | - Douglas P Kiel
- Institute for Aging Research, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA.
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, 02115, USA.
- Broad Institute of Harvard and Massachusetts Institute of Technology, Boston, MA, 02142, USA.
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17
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Fallaize R, Livingstone KM, Celis-Morales C, Macready AL, San-Cristobal R, Navas-Carretero S, Marsaux CFM, O'Donovan CB, Kolossa S, Moschonis G, Walsh MC, Gibney ER, Brennan L, Bouwman J, Manios Y, Jarosz M, Martinez JA, Daniel H, Saris WHM, Gundersen TE, Drevon CA, Gibney MJ, Mathers JC, Lovegrove JA. Association between Diet-Quality Scores, Adiposity, Total Cholesterol and Markers of Nutritional Status in European Adults: Findings from the Food4Me Study. Nutrients 2018; 10:nu10010049. [PMID: 29316612 PMCID: PMC5793277 DOI: 10.3390/nu10010049] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [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: 12/01/2017] [Revised: 12/22/2017] [Accepted: 12/28/2017] [Indexed: 12/26/2022] Open
Abstract
Diet-quality scores (DQS), which are developed across the globe, are used to define adherence to specific eating patterns and have been associated with risk of coronary heart disease and type-II diabetes. We explored the association between five diet-quality scores (Healthy Eating Index, HEI; Alternate Healthy Eating Index, AHEI; MedDietScore, MDS; PREDIMED Mediterranean Diet Score, P-MDS; Dutch Healthy Diet-Index, DHDI) and markers of metabolic health (anthropometry, objective physical activity levels (PAL), and dried blood spot total cholesterol (TC), total carotenoids, and omega-3 index) in the Food4Me cohort, using regression analysis. Dietary intake was assessed using a validated Food Frequency Questionnaire. Participants (n = 1480) were adults recruited from seven European Union (EU) countries. Overall, women had higher HEI and AHEI than men (p < 0.05), and scores varied significantly between countries. For all DQS, higher scores were associated with lower body mass index, lower waist-to-height ratio and waist circumference, and higher total carotenoids and omega-3-index (p trends < 0.05). Higher HEI, AHEI, DHDI, and P-MDS scores were associated with increased daily PAL, moderate and vigorous activity, and reduced sedentary behaviour (p trend < 0.05). We observed no association between DQS and TC. To conclude, higher DQS, which reflect better dietary patterns, were associated with markers of better nutritional status and metabolic health.
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Affiliation(s)
- Rosalind Fallaize
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading RG6 6AP, UK.
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield AL10 9AB, UK.
| | - Katherine M Livingstone
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK.
| | - Carlos Celis-Morales
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK.
| | - Anna L Macready
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading RG6 6AP, UK.
| | - Rodrigo San-Cristobal
- Department of Nutrition, Food Science and Physiology, University of Navarra, 31008 Pamplona, Spain.
| | - Santiago Navas-Carretero
- Department of Nutrition, Food Science and Physiology, University of Navarra, 31008 Pamplona, Spain.
- CIBERObn, Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28023 Madrid, Spain.
| | - Cyril F M Marsaux
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre +, 6200MD Maastricht, The Netherlands.
| | - Clare B O'Donovan
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.
| | - Silvia Kolossa
- ZIEL Research Center of Nutrition and Food Sciences, Biochemistry Unit, Technische Universität München, 85354 Munich, Germany.
| | - George Moschonis
- Department of Nutrition and Dietetics, Harokopio University, 17671 Athens, Greece.
| | - Marianne C Walsh
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.
| | - Eileen R Gibney
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.
| | - Lorraine Brennan
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.
| | - Jildau Bouwman
- Microbiology and Systems Biology Group, TNO, 3704HE Zeist, The Netherlands.
| | - Yannis Manios
- Department of Nutrition and Dietetics, Harokopio University, 17671 Athens, Greece.
| | - Miroslaw Jarosz
- National Food & Nutrition Institute (IZZ), 02-903 Warsaw, Poland.
| | - J Alfredo Martinez
- Department of Nutrition, Food Science and Physiology, University of Navarra, 31008 Pamplona, Spain.
- CIBERObn, Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28023 Madrid, Spain.
- Instituto Madrileño de Estudios Avanzados (IMDEA) Alimentacion, 28049 Madrid, Spain.
| | - Hannelore Daniel
- ZIEL Research Center of Nutrition and Food Sciences, Biochemistry Unit, Technische Universität München, 85354 Munich, Germany.
| | - Wim H M Saris
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre +, 6200MD Maastricht, The Netherlands.
| | | | - Christian A Drevon
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, 0317 Oslo, Norway.
| | - Michael J Gibney
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.
| | - John C Mathers
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK.
| | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading RG6 6AP, UK.
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San-Cristobal R, Navas-Carretero S, Celis-Morales C, Livingstone KM, Stewart-Knox B, Rankin A, Macready AL, Fallaize R, O'Donovan CB, Forster H, Woolhead C, Walsh MC, Lambrinou CP, Moschonis G, Manios Y, Jarosz M, Daniel H, Gibney ER, Brennan L, Gundersen TE, Drevon CA, Gibney M, Marsaux CFM, Saris WHM, Lovegrove JA, Frewer LJ, Mathers JC, Martinez JA. Capturing health and eating status through a nutritional perception screening questionnaire (NPSQ9) in a randomised internet-based personalised nutrition intervention: the Food4Me study. Int J Behav Nutr Phys Act 2017; 14:168. [PMID: 29228998 PMCID: PMC5725967 DOI: 10.1186/s12966-017-0624-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [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: 06/30/2017] [Accepted: 10/23/2017] [Indexed: 02/07/2023] Open
Abstract
Background National guidelines emphasize healthy eating to promote wellbeing and prevention of non-communicable diseases. The perceived healthiness of food is determined by many factors affecting food intake. A positive perception of healthy eating has been shown to be associated with greater diet quality. Internet-based methodologies allow contact with large populations. Our present study aims to design and evaluate a short nutritional perception questionnaire, to be used as a screening tool for assessing nutritional status, and to predict an optimal level of personalisation in nutritional advice delivered via the Internet. Methods Data from all participants who were screened and then enrolled into the Food4Me proof-of-principle study (n = 2369) were used to determine the optimal items for inclusion in a novel screening tool, the Nutritional Perception Screening Questionnaire-9 (NPSQ9). Exploratory and confirmatory factor analyses were performed on anthropometric and biochemical data and on dietary indices acquired from participants who had completed the Food4Me dietary intervention (n = 1153). Baseline and intervention data were analysed using linear regression and linear mixed regression, respectively. Results A final model with 9 NPSQ items was validated against the dietary intervention data. NPSQ9 scores were inversely associated with BMI (β = −0.181, p < 0.001) and waist circumference (Β = −0.155, p < 0.001), and positively associated with total carotenoids (β = 0.198, p < 0.001), omega-3 fatty acid index (β = 0.155, p < 0.001), Healthy Eating Index (HEI) (β = 0.299, p < 0.001) and Mediterranean Diet Score (MDS) (β = 0. 279, p < 0.001). Findings from the longitudinal intervention study showed a greater reduction in BMI and improved dietary indices among participants with lower NPSQ9 scores. Conclusions Healthy eating perceptions and dietary habits captured by the NPSQ9 score, based on nine questionnaire items, were associated with reduced body weight and improved diet quality. Likewise, participants with a lower score achieved greater health improvements than those with higher scores, in response to personalised advice, suggesting that NPSQ9 may be used for early evaluation of nutritional status and to tailor nutritional advice. Trial registration NCT01530139. Electronic supplementary material The online version of this article (doi:10.1186/s12966-017-0624-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Rodrigo San-Cristobal
- Centre for Nutrition Research, Department of Nutrition, Food Science and Physiology, University of Navarra, C/Irunlarrea, 1, 31008, Pamplona, Spain
| | - Santiago Navas-Carretero
- Centre for Nutrition Research, Department of Nutrition, Food Science and Physiology, University of Navarra, C/Irunlarrea, 1, 31008, Pamplona, Spain. .,CIBER Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28023, Madrid, Spain.
| | - Carlos Celis-Morales
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle Upon Tyne, NE1 7RU, UK
| | - Katherine M Livingstone
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle Upon Tyne, NE1 7RU, UK
| | | | - Audrey Rankin
- Northern Ireland Centre for Food and Health, University of Ulster, Coleraine, BT52 1SA, UK
| | - Anna L Macready
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, RG6 6AA, UK
| | - Rosalind Fallaize
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, RG6 6AA, UK
| | - Clare B O'Donovan
- UCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, 4, Republic of Ireland
| | - Hannah Forster
- UCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, 4, Republic of Ireland
| | - Clara Woolhead
- UCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, 4, Republic of Ireland
| | - Marianne C Walsh
- UCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, 4, Republic of Ireland
| | - Christina P Lambrinou
- Department of Nutrition and Dietetics, Harokopio University of Athens, 17671, Athens, Greece
| | - George Moschonis
- Department of Nutrition and Dietetics, Harokopio University of Athens, 17671, Athens, Greece
| | - Yannis Manios
- Department of Nutrition and Dietetics, Harokopio University of Athens, 17671, Athens, Greece
| | - Miroslaw Jarosz
- Institute of Food and Nutrition (IZZ), 02-903, Warsaw, Poland
| | - Hannelore Daniel
- ZIEL Research Center of Nutrition and Food Sciences, Biochemistry Unit, Technische Universität München, 85354, Munich, Germany
| | - Eileen R Gibney
- UCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, 4, Republic of Ireland
| | - Lorraine Brennan
- UCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, 4, Republic of Ireland
| | | | - Christian A Drevon
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, 0317, Oslo, Norway
| | - Mike Gibney
- UCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, 4, Republic of Ireland
| | - Cyril F M Marsaux
- Department of Human Biology, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, 6200 MD, The Netherlands
| | - Wim H M Saris
- Department of Human Biology, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, 6200 MD, The Netherlands
| | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, RG6 6AA, UK
| | - Lynn J Frewer
- Food and Society Group, Newcastle University, Newcastle Upon Tyne, NE1 7RU, UK
| | - John C Mathers
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle Upon Tyne, NE1 7RU, UK
| | - J Alfredo Martinez
- Centre for Nutrition Research, Department of Nutrition, Food Science and Physiology, University of Navarra, C/Irunlarrea, 1, 31008, Pamplona, Spain.,CIBER Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28023, Madrid, Spain.,Instituto de Investigaciones Sanitarias de Navarra (IDisNa), 31008, Pamplona, Spain.,Instituto Madrileño de Estudios Avanzados (IMDEA) Alimentacion, Madrid, Spain
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19
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Brouwer-Brolsma EM, Brennan L, Drevon CA, van Kranen H, Manach C, Dragsted LO, Roche HM, Andres-Lacueva C, Bakker SJL, Bouwman J, Capozzi F, De Saeger S, Gundersen TE, Kolehmainen M, Kulling SE, Landberg R, Linseisen J, Mattivi F, Mensink RP, Scaccini C, Skurk T, Tetens I, Vergeres G, Wishart DS, Scalbert A, Feskens EJM. Combining traditional dietary assessment methods with novel metabolomics techniques: present efforts by the Food Biomarker Alliance. Proc Nutr Soc 2017; 76:619-627. [PMID: 29137687 DOI: 10.1017/s0029665117003949] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [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: 01/10/2023]
Abstract
FFQ, food diaries and 24 h recall methods represent the most commonly used dietary assessment tools in human studies on nutrition and health, but food intake biomarkers are assumed to provide a more objective reflection of intake. Unfortunately, very few of these biomarkers are sufficiently validated. This review provides an overview of food intake biomarker research and highlights present research efforts of the Joint Programming Initiative 'A Healthy Diet for a Healthy Life' (JPI-HDHL) Food Biomarkers Alliance (FoodBAll). In order to identify novel food intake biomarkers, the focus is on new food metabolomics techniques that allow the quantification of up to thousands of metabolites simultaneously, which may be applied in intervention and observational studies. As biomarkers are often influenced by various other factors than the food under investigation, FoodBAll developed a food intake biomarker quality and validity score aiming to assist the systematic evaluation of novel biomarkers. Moreover, to evaluate the applicability of nutritional biomarkers, studies are presently also focusing on associations between food intake biomarkers and diet-related disease risk. In order to be successful in these metabolomics studies, knowledge about available electronic metabolomics resources is necessary and further developments of these resources are essential. Ultimately, present efforts in this research area aim to advance quality control of traditional dietary assessment methods, advance compliance evaluation in nutritional intervention studies, and increase the significance of observational studies by investigating associations between nutrition and health.
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Affiliation(s)
- Elske M Brouwer-Brolsma
- Division of Human Nutrition,Wageningen University,PO Box 17,6700 AA Wageningen,The Netherlands
| | | | - Christian A Drevon
- Department of Nutrition,Institute of Basic Medical Sciences,Faculty of Medicine,University of Oslo,Oslo,Norway
| | - Henk van Kranen
- National Institute for Public Health and the Environment,Bilthoven,The Netherlands
| | - Claudine Manach
- INRA,UMR 1019, Human Nutrition Unit,Université Clermont Auvergne,Clermont-Ferrand,France
| | - Lars Ove Dragsted
- Department of Nutrition,Exercise and Sports,University of Copenhagen,Copenhagen,Denmark
| | - Helen M Roche
- Nutrigenomics Research Group,UCD Institute of Food and Health,School of Public Health,Physiotherapy and Sports Science,Belfield,Dublin 4,Ireland
| | - Cristina Andres-Lacueva
- Biomarkers and Nutrimetabolomic Laboratory,Department of Nutrition,Food Sciences and Gastronomy, XaRTA, INSA,Faculty of Pharmacy and Food Sciences,University of Barcelona,Barcelona,Spain
| | - Stephan J L Bakker
- Department of Internal Medicine,University Medical Center Groningen, University of Groningen,Groningen,The Netherlands
| | - Jildau Bouwman
- TNO,Netherlands Organisation for Applied Scientific Research,Zeist,The Netherlands
| | - Francesco Capozzi
- Department of Agricultural and Food Science,University of Bologna,Italy
| | - Sarah De Saeger
- Faculty of Pharmaceutical Sciences, Department of Bioanalysis,Ghent University,Ghent,Belgium
| | | | - Marjukka Kolehmainen
- University of Eastern Finland,Institute of Public Health and Clinical Nutrition,Clinical Nutrition,Kuopio,Finland
| | - Sabine E Kulling
- Max Rubner-Institut, Bundesforschungsinstitut für Ernährung und Lebensmittel,Karlsruhe,Germany
| | - Rikard Landberg
- Department of Biology and Biological Engineering, Food and Nutrition Science,Chalmers University of Technology,Gothenburg,Sweden
| | - Jakob Linseisen
- Institute of Epidemiology II,Helmholtz Centre Munich,Neuherberg,Germany
| | - Fulvio Mattivi
- Fondazione Edmund Mach,Department of Food Quality and Nutrition,Research and Innovation Centre,San Michele all'Adige,Italy
| | - Ronald P Mensink
- Department of Human Biology,NUTRIM School of Nutrition and Translational Research in Metabolism,Maastricht University Medical Center,Maastricht,The Netherlands
| | - Cristina Scaccini
- Consiglio per la Ricerca in Agricoltura e l'analisi dell'economia agraria - Food and Nutrition Research Center,Roma,Italy
| | - Thomas Skurk
- ZIEL Institute for Food and Health,Core Facility Human Studies,Nutritional Medicine,Technical University of Munich,Freising,Germany
| | - Inge Tetens
- Division of Food,Disease Prevention and Toxicology,National Food Institute,Technical University of Denmark,Kongens Lyngby,Denmark
| | - Guy Vergeres
- Agroscope,Institute for Food Sciences IFS,Bern,Switzerland
| | - David S Wishart
- Departments of Biological Sciences and Computing Science,University of Alberta,Edmonton,Canada
| | - Augustin Scalbert
- International Agency for Research on Cancer,Nutrition and Metabolism Section,Lyon,France
| | - Edith J M Feskens
- Division of Human Nutrition,Wageningen University,PO Box 17,6700 AA Wageningen,The Netherlands
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20
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Albani V, Celis-Morales C, O'Donovan CB, Walsh MC, Woolhead C, Forster H, Fallaize R, Macready AL, Marsaux CFM, Navas-Carretero S, San-Cristobal R, Kolossa S, Mavrogianni C, Lambrinou CP, Moschonis G, Godlewska M, Surwillo A, Traczyk I, Gundersen TE, Drevon CA, Daniel H, Manios Y, Martinez JA, Saris WHM, Lovegrove JA, Gibney MJ, Gibney ER, Mathers JC, Adamson AJ, Brennan L. Within-person reproducibility and sensitivity to dietary change of C15:0 and C17:0 levels in dried blood spots: Data from the European Food4Me Study. Mol Nutr Food Res 2017; 61. [DOI: 10.1002/mnfr.201700142] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Revised: 04/27/2017] [Accepted: 05/09/2017] [Indexed: 12/11/2022]
Affiliation(s)
- Viviana Albani
- Human Nutrition Research Centre and Institute of Health and Society; Newcastle University; Newcastle upon Tyne UK
| | - Carlos Celis-Morales
- Human Nutrition Research Centre; Institute of Cellular Medicine; Newcastle University; Newcastle upon Tyne UK
| | - Clare B. O'Donovan
- UCD School of Agriculture and FoodScience; Institute of Food and Health; University College Dublin (UCD); Belfield Dublin Ireland
| | - Marianne C. Walsh
- UCD School of Agriculture and FoodScience; Institute of Food and Health; University College Dublin (UCD); Belfield Dublin Ireland
| | - Clara Woolhead
- UCD School of Agriculture and FoodScience; Institute of Food and Health; University College Dublin (UCD); Belfield Dublin Ireland
| | - Hannah Forster
- UCD School of Agriculture and FoodScience; Institute of Food and Health; University College Dublin (UCD); Belfield Dublin Ireland
| | - Rosalind Fallaize
- UCD School of Agriculture and FoodScience; Institute of Food and Health; University College Dublin (UCD); Belfield Dublin Ireland
| | - Anna L. Macready
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Health; University of Reading; Reading UK
| | - Cyril F. M. Marsaux
- Department of Human Biology; NUTRIM School of Nutrition and Translational Research in Metabolism; Maastricht University Medical Centre; Maastricht The Netherlands
| | - Santiago Navas-Carretero
- Department of Nutrition; Food Science and Physiology; University of Navarra; Pamplona Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn); Instituto de Salud Carlos III; Madrid Spain
| | - Rodrigo San-Cristobal
- Department of Nutrition; Food Science and Physiology; University of Navarra; Pamplona Spain
| | - Silvia Kolossa
- ZIEL Research Center of Nutrition and Food Sciences; Biochemistry Unit; Technische Universität München; Munich Germany
| | | | | | - George Moschonis
- Department of Nutrition and Dietetics; Harokopio University; Athens Greece
| | | | | | - Iwona Traczyk
- Department of Human Nutrition; Faculty of Health Science; Medical University of Warsaw; Poland
| | | | - Christian A. Drevon
- Department of Nutrition; Institute of Basic Medical Sciences; Faculty of Medicine; University of Oslo; Oslo Norway
| | - Hannelore Daniel
- ZIEL Research Center of Nutrition and Food Sciences; Biochemistry Unit; Technische Universität München; Munich Germany
| | - Yannis Manios
- Department of Nutrition and Dietetics; Harokopio University; Athens Greece
| | - J. Alfredo Martinez
- Department of Nutrition; Food Science and Physiology; University of Navarra; Pamplona Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn); Instituto de Salud Carlos III; Madrid Spain
- IMDEA Alimentación; Madrid Spain
| | - Wim H. M. Saris
- Department of Human Biology; NUTRIM School of Nutrition and Translational Research in Metabolism; Maastricht University Medical Centre; Maastricht The Netherlands
| | - Julie A. Lovegrove
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Health; University of Reading; Reading UK
| | - Michael J. Gibney
- UCD School of Agriculture and FoodScience; Institute of Food and Health; University College Dublin (UCD); Belfield Dublin Ireland
| | - Eileen R. Gibney
- UCD School of Agriculture and FoodScience; Institute of Food and Health; University College Dublin (UCD); Belfield Dublin Ireland
| | - John C. Mathers
- Human Nutrition Research Centre; Institute of Cellular Medicine; Newcastle University; Newcastle upon Tyne UK
| | - Ashley J. Adamson
- Human Nutrition Research Centre and Institute of Health and Society; Newcastle University; Newcastle upon Tyne UK
| | - Lorraine Brennan
- Human Nutrition Research Centre and Institute of Health and Society; Newcastle University; Newcastle upon Tyne UK
- UCD School of Agriculture and FoodScience; Institute of Food and Health; University College Dublin (UCD); Belfield Dublin Ireland
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21
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Albani V, Celis-Morales C, Marsaux CFM, Forster H, O'Donovan CB, Woolhead C, Macready AL, Fallaize R, Navas-Carretero S, San-Cristobal R, Kolossa S, Mavrogianni C, Lambrinou CP, Moschonis G, Godlewska M, Surwiłło A, Gundersen TE, Kaland SE, Manios Y, Traczyk I, Drevon CA, Gibney ER, Walsh MC, Martinez JA, Saris WHM, Daniel H, Lovegrove JA, Gibney MJ, Adamson AJ, Mathers JC, Brennan L. Front cover: Exploring the association of dairy product intake with the fatty acids C15:0 and C17:0 measured from dried blood spots in a multipopulation cohort: Findings from the Food4Me study. Mol Nutr Food Res 2016. [DOI: 10.1002/mnfr.201670041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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22
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Albani V, Celis-Morales C, Marsaux CFM, Forster H, O'Donovan CB, Woolhead C, Macready AL, Fallaize R, Navas-Carretero S, San-Cristobal R, Kolossa S, Mavrogianni C, Lambrinou CP, Moschonis G, Godlewska M, Surwiłło A, Gundersen TE, Kaland SE, Manios Y, Traczyk I, Drevon CA, Gibney ER, Walsh MC, Martinez JA, Saris WHM, Daniel H, Lovegrove JA, Gibney MJ, Adamson AJ, Mathers JC, Brennan L. Exploring the association of dairy product intake with the fatty acids C15:0 and C17:0 measured from dried blood spots in a multipopulation cohort: Findings from the Food4Me study. Mol Nutr Food Res 2016; 60:834-45. [PMID: 26678873 DOI: 10.1002/mnfr.201500483] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [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: 06/22/2015] [Revised: 11/18/2015] [Accepted: 11/22/2015] [Indexed: 11/08/2022]
Abstract
SCOPE The use of biomarkers in the objective assessment of dietary intake is a high priority in nutrition research. The aim of this study was to examine pentadecanoic acid (C15:0) and heptadecanoic acid (C17:0) as biomarkers of dairy foods intake. METHODS AND RESULTS The data used in the present study were obtained as part of the Food4me Study. Estimates of C15:0 and C17:0 from dried blood spots and intakes of dairy from a Food Frequency Questionnaire were obtained from participants (n = 1180) across seven countries. Regression analyses were used to explore associations of biomarkers with dairy intake levels and receiver operating characteristic analyses were used to evaluate the fatty acids. Significant positive associations were found between C15:0 and total intakes of high-fat dairy products. C15:0 showed good ability to distinguish between low and high consumers of high-fat dairy products. CONCLUSION C15:0 can be used as a biomarker of high-fat dairy intake and of specific high-fat dairy products. Both C15:0 and C17:0 performed poorly for total dairy intake highlighting the need for caution when using these in epidemiological studies.
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Affiliation(s)
- Viviana Albani
- Human Nutrition Research Centre and Institute for Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Carlos Celis-Morales
- Human Nutrition Research Centre and Institute for Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Cyril F M Marsaux
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre + (MUMC+), Maastricht, The Netherlands
| | - Hannah Forster
- Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
| | - Clare B O'Donovan
- Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
| | - Clara Woolhead
- Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
| | - Anna L Macready
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, UK
| | - Rosalind Fallaize
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, UK
| | - Santiago Navas-Carretero
- Department of Nutrition, Food Science and Physiology, University of Navarra, CIBER Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (SN-C & JAM), Spain
| | - Rodrigo San-Cristobal
- Department of Nutrition, Food Science and Physiology, University of Navarra, CIBER Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (SN-C & JAM), Spain
| | - Silvia Kolossa
- ZIEL Research Center of Nutrition and Food Sciences, Biochemistry Unit, Technische Universität München, Germany
| | | | | | - George Moschonis
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | | | | | | | | | - Yannis Manios
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | | | - Christian A Drevon
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Eileen R Gibney
- Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
| | - Marianne C Walsh
- Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
| | - J Alfredo Martinez
- Department of Nutrition, Food Science and Physiology, University of Navarra, CIBER Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (SN-C & JAM), Spain
| | - Wim H M Saris
- Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
| | - Hannelore Daniel
- ZIEL Research Center of Nutrition and Food Sciences, Biochemistry Unit, Technische Universität München, Germany
| | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, UK
| | - Michael J Gibney
- Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
| | - Ashley J Adamson
- Human Nutrition Research Centre and Institute for Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - John C Mathers
- Human Nutrition Research Centre and Institute for Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Lorraine Brennan
- Human Nutrition Research Centre and Institute for Health and Society, Newcastle University, Newcastle upon Tyne, UK.,Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
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Zigmont V, Garrett A, Peng J, Seweryn M, Rempala GA, Harris R, Holloman C, Gundersen TE, Ahlbom A, Feychting M, Johannesen TB, Grimsrud TK, Schwartzbaum J. Association Between Prediagnostic Serum 25-Hydroxyvitamin D Concentration and Glioma. Nutr Cancer 2015; 67:1120-30. [PMID: 26317248 DOI: 10.1080/01635581.2015.1073757] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
There are no previous studies of the association between prediagnostic serum vitamin D concentration and glioma. Vitamin D has immunosuppressive properties; as does glioma. It was, therefore, our hypothesis that elevated vitamin D concentration would increase glioma risk. We conducted a nested case-control study using specimens from the Janus Serum Bank cohort in Norway. Blood donors who were subsequently diagnosed with glioma (n = 592), between 1974 and 2007, were matched to donors without glioma (n = 1112) on date and age at blood collection and sex. We measured 25-hydroxyvitamin D [25(OH)D], an indicator of vitamin D availability, using liquid chromatography coupled with mass spectrometry. Seasonally adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) were estimated for each control quintile of 25(OH)D using conditional logistic regression. Among men diagnosed with high grade glioma >56, we found a negative trend (P = .04). Men diagnosed ≤ 56 showed a borderline positive trend (P = .08). High levels (>66 nmol/L) of 25(OH)D in men >56 were inversely related to high grade glioma from ≥2 yr before diagnosis (OR = 0.59; 95% CI = 0.38, 0.91) to ≥15 yr before diagnosis (OR = 0.61; 95% CI = 0.38,0.96). Our findings are consistent long before glioma diagnosis and are therefore unlikely to reflect preclinical disease.
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Affiliation(s)
- Victoria Zigmont
- a Comprehensive Cancer Center and Division of Epidemiology, College of Public Health , Ohio State University , Columbus , Ohio , USA
| | - Amy Garrett
- a Comprehensive Cancer Center and Division of Epidemiology, College of Public Health , Ohio State University , Columbus , Ohio , USA
| | - Jin Peng
- b Division of Epidemiology , College of Public Health, Ohio State University , Columbus , Ohio , USA.,c Nationwide Children's Hospital , Columbus , Ohio , USA
| | - Michal Seweryn
- d Division of Biostatistics, College of Public Health and Mathematical Biosciences Institute , Ohio State University , Columbus , Ohio , USA
| | - Grzegorz A Rempala
- d Division of Biostatistics, College of Public Health and Mathematical Biosciences Institute , Ohio State University , Columbus , Ohio , USA
| | - Randall Harris
- a Comprehensive Cancer Center and Division of Epidemiology, College of Public Health , Ohio State University , Columbus , Ohio , USA
| | | | | | - Anders Ahlbom
- g Institute of Environmental Medicine , Division of Epidemiology, Karolinska Institutet , Stockholm , Sweden
| | - Maria Feychting
- g Institute of Environmental Medicine , Division of Epidemiology, Karolinska Institutet , Stockholm , Sweden
| | | | | | - Judith Schwartzbaum
- a Comprehensive Cancer Center and Division of Epidemiology, College of Public Health , Ohio State University , Columbus , Ohio , USA
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24
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Celis-Morales C, Livingstone KM, Marsaux CFM, Forster H, O'Donovan CB, Woolhead C, Macready AL, Fallaize R, Navas-Carretero S, San-Cristobal R, Kolossa S, Hartwig K, Tsirigoti L, Lambrinou CP, Moschonis G, Godlewska M, Surwiłło A, Grimaldi K, Bouwman J, Daly EJ, Akujobi V, O'Riordan R, Hoonhout J, Claassen A, Hoeller U, Gundersen TE, Kaland SE, Matthews JNS, Manios Y, Traczyk I, Drevon CA, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Alfredo Martinez J, Saris WHM, Daniel H, Gibney M, Mathers JC. Design and baseline characteristics of the Food4Me study: a web-based randomised controlled trial of personalised nutrition in seven European countries. Genes Nutr 2014; 10:450. [PMID: 25491748 DOI: 10.1007/s12263-014-0450-2] [Citation(s) in RCA: 108] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2014] [Accepted: 12/01/2014] [Indexed: 11/28/2022]
Abstract
Improving lifestyle behaviours has considerable potential for reducing the global burden of non-communicable diseases, promoting better health across the life-course and increasing well-being. However, realising this potential will require the development, testing and implementation of much more effective behaviour change interventions than are used conventionally. Therefore, the aim of this study was to conduct a multi-centre, web-based, proof-of-principle study of personalised nutrition (PN) to determine whether providing more personalised dietary advice leads to greater improvements in eating patterns and health outcomes compared to conventional population-based advice. A total of 5,562 volunteers were screened across seven European countries; the first 1,607 participants who fulfilled the inclusion criteria were recruited into the trial. Participants were randomly assigned to one of the following intervention groups for a 6-month period: Level 0-control group-receiving conventional, non-PN advice; Level 1-receiving PN advice based on dietary intake data alone; Level 2-receiving PN advice based on dietary intake and phenotypic data; and Level 3-receiving PN advice based on dietary intake, phenotypic and genotypic data. A total of 1,607 participants had a mean age of 39.8 years (ranging from 18 to 79 years). Of these participants, 60.9 % were women and 96.7 % were from white-European background. The mean BMI for all randomised participants was 25.5 kg m(-2), and 44.8 % of the participants had a BMI ≥ 25.0 kg m(-2). Food4Me is the first large multi-centre RCT of web-based PN. The main outcomes from the Food4Me study will be submitted for publication during 2015.
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Affiliation(s)
- Carlos Celis-Morales
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
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Abstract
BACKGROUND Intrathecal synthesis of IgG is a hallmark of multiple sclerosis (MS). Vitamin D may modulate B-cell function and dampen the synthesis of IgG. OBJECTIVE To investigate the relation between vitamin D levels in cerebrospinal fluid and serum and intrathecal synthesis of IgG. METHODS 25-hydroxyvitamin D (25(OH)D) and IgG were assessed in cerebrospinal fluid and serum in 40 patients with MS. RESULTS There was no significant correlation between the IgG index and 25(OH)D levels in cerebrospinal fluid or serum. The levels of 25(OH)D in cerebrospinal fluid and serum did not differ between patients with and without intrathecal synthesis of IgG. There was a non-significant trend towards a positive correlation between the concentrations of 25(OH)D and IgG in the cerebrospinal fluid, but not in serum. CONCLUSION Physiological variation in vitamin D does not exert a major impact on intrathecal synthesis of IgG in MS.
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Affiliation(s)
- T Holmøy
- Department of Neurology, Akershus University Hosptital, Lørenskog, Norway.
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Bastani NE, Gundersen TE, Blomhoff R. Dried blood spot (DBS) sample collection for determination of the oxidative stress biomarker 8-epi-PGF(2α) in humans using liquid chromatography/tandem mass spectrometry. Rapid Commun Mass Spectrom 2012; 26:645-652. [PMID: 22328218 DOI: 10.1002/rcm.6149] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
RATIONALE F2-isoprostanes are a series of prostaglandin F2-like compounds that are formed by free-radical-catalyzed peroxidation of arachidonic acid (ARA). Several F2-isoprostanes, but in particular 8-epi-PGF(2α), are widely used as oxidative stress biomarkers. In this study we have developed an analytical tool for finger-tip blood sampling and analysis of 8-epi-PGF(2α) from dried blood spots (DBS). METHODS We have applied solid-phase extraction (SPE) and liquid chromatography/tandem mass spectrometry (LC/MS/MS) for the extraction, separation and detection of 8-epi-PGF(2α) in DBS and have studied the stability of this marker using the DBS collection platform. RESULTS The mass limit of detection (mLOD) for 8-epi-PGF(2α) extracted from DBS samples was 1.5 pg while the concentration limit of detection (cLOD) and concentration limit of quantitation (cLOQ) were 6 pg/mL and 18 pg/mL, respectively. All values based on triplicate analysis. Sufficient stability of 8-epi-PGF(2α) in DBS was achieved by preconditioning DBS paper with vitamin E and BHT. CONCLUSIONS The developed method is sensitive, specific, robust, efficient, and can accurately measure endogenous concentrations of 8-epi-PGF(2α) in DBS. Thus, it offers an analytical approach to measure 8-epi-PGF(2α) by a novel sample collection technique that is less invasive and costly than conventional techniques.
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Affiliation(s)
- Nasser E Bastani
- Institute of Basic Medical Sciences, University of Oslo, P.O. Box 1046 Blindern, N-0316, Oslo, Norway.
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Bastani NE, Gundersen TE, Blomhoff R. Determination of 8-epi PGF(2alpha) concentrations as a biomarker of oxidative stress using triple-stage liquid chromatography/tandem mass spectrometry. Rapid Commun Mass Spectrom 2009; 23:2885-2890. [PMID: 19670343 DOI: 10.1002/rcm.4197] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
F2-isoprostanes are a family of prostaglandin F2-like compounds that are formed by free-radical-catalyzed peroxidation of arachidonic acid. Several F2-isoprostanes, but in particular 8-epi PGF(2alpha), are widely used as oxidative stress biomarkers. An analytical method based on liquid chromatography with negative electrospray ionization (ESI) coupled to tandem mass spectrometric detection (LC/MS/MS) was developed for the determination of 8-epi PGF(2alpha) concentrations in human plasma, whole blood, erythrocytes and urine. 8-epi PGF(2alpha)-d4, a stable isotope derivative of 8-epi PGF(2alpha), was used as an internal standard (IS). A 50 microL sample was focused on-column and separated on two 3 microm particle size SUPELCOSIL ABZ+Plus HPLC columns (15 cm x 4.6 mm and 7.5 cm x 4.6 mm) connected in series. An Applied Biosystems 4000 Q TRAP LC/MS/MS system with ESI was operated in multiple reaction monitoring (MRM) mode with the precursor-to-product ion transitions m/z 353.4 --> 193.1 (8-epi PGF(2alpha)), 357.4 --> 197.1 (8-epi PGF(2alpha)-d4), used for quantification. The assay was fully validated and found to have adequate accuracy, precision, linearity, sensitivity and selectivity. The mass limit of detection (mLOD) was 1 pg of analyte eluting from the column. The assay has been successfully applied to the analysis of human plasma, whole blood, erythrocytes and urine samples.
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Affiliation(s)
- Nasser E Bastani
- Institute of Basic Medical Sciences, University of Oslo, P.O. Box 1046 Blindern, N-0316 Oslo, Norway.
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Ström K, Gundersen TE, Hansson O, Lucas S, Fernandez C, Blomhoff R, Holm C. Hormone-sensitive lipase (HSL) is also a retinyl ester hydrolase: evidence from mice lacking HSL. FASEB J 2009; 23:2307-16. [PMID: 19246492 DOI: 10.1096/fj.08-120923] [Citation(s) in RCA: 68] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Here, we investigated the importance of hormone-sensitive lipase (HSL) as a retinyl ester hydrolase (REH). REH activity was measured in vitro using recombinant HSL and retinyl palmitate. The expression of retinoic acid (RA)-regulated genes and retinoid metabolites were measured in high-fat diet fed HSL-null mice using real-time quantitative PCR and triple-stage liquid chromatography/tandem mass spectrometry, respectively. Age- and gender-matched wild-type littermates were used as controls. The REH activity of rat HSL was found to be higher than that against the hitherto best known HSL substrate, i.e., diacylglycerols. REH activity in white adipose tissue (WAT) of HSL-null mice was completely blunted and accompanied by increased levels of retinyl esters and decreased levels of retinol, retinaldehyde and all-trans RA. Accordingly, genes known to be positively regulated by RA were down-regulated in HSL-null mice, including pRb and RIP140, key factors promoting differentiation into the white over the brown adipocyte lineage. Dietary RA supplementation partly restored WAT mass and the expression of RA-regulated genes in WAT of HSL-null mice. These findings demonstrate the importance of HSL as an REH of adipose tissue and suggest that HSL via this action provides RA and other retinoids for signaling events that are crucial for adipocyte differentiation and lineage commitment.
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Affiliation(s)
- Kristoffer Ström
- Division of Diabetes, Metabolism and Endocrinology, Department of Experimental Medical Science, Lund University, BMC C11, SE-221 84 Lund, Sweden.
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Noble BR, Babiuk RP, Clugston RD, Underhill TM, Sun H, Kawaguchi R, Walfish PG, Blomhoff R, Gundersen TE, Greer JJ. Mechanisms of action of the congenital diaphragmatic hernia-inducing teratogen nitrofen. Am J Physiol Lung Cell Mol Physiol 2007; 293:L1079-87. [PMID: 17704186 DOI: 10.1152/ajplung.00286.2007] [Citation(s) in RCA: 83] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
Congenital diaphragmatic hernia (CDH) is a developmental anomaly that results in significant mortality and morbidity. The underlying etiology is poorly understood. Insights will arise from an understanding of the mechanisms by which the teratogen nitrofen induces CDH in rodent models. In this study, we use in vitro cell assays in conjunction with whole animal rodent studies to test hypotheses regarding nitrofen's mechanism of action. The first component examined the interaction of nitrofen with various aspects of the retinoid signaling pathway including uptake proteins, binding proteins, receptors, conversion, and degradation enzymes. The second component examined the interactions of nitrofen and vitamins A, C, and E to test the hypothesis that nitrofen was functioning as an antioxidant to interfere with retinoid signaling. Third, we performed a series of experiments examining the interaction of nitrofen and thyroid signaling. Collectively, the data suggest that the primary aspect of retinoid signaling affected by nitrofen is via inhibition of the rate-limiting enzymes controlling retinoic acid synthesis. Retinoid signaling perturbations do not appear to involve oxidative effects of nitrofen. Any substantial roles of nitrofen-induced perturbations of thyroid hormone signaling or receptor function are not supported.
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Affiliation(s)
- B Rhiannon Noble
- Department of Physiology, University of Alberta, Edmonton, Alberta, Canada T6G 2S2
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30
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Berhe N, Halvorsen BL, Gundersen TE, Myrvang B, Gundersen SG, Blomhoff R. Reduced serum concentrations of retinol and alpha-tocopherol and high concentrations of hydroperoxides are associated with community levels of S. mansoni infection and schistosomal periportal fibrosis in Ethiopian school children. Am J Trop Med Hyg 2007; 76:943-9. [PMID: 17488920] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/15/2023] Open
Abstract
To study the relationship between micronutrient malnutrition and schistosomiasis mansoni, a cross-sectional study was undertaken involving 421 schoolchildren (mean age 12.6 years; 333 from schistosomiasis mansoni-endemic villages (Workemado and Sille) and 88 non-endemic controls from Sheno). Prevalence of schistosomiasis mansoni infection in Workemado and Sille was comparable (90.6% versus 95%, respectively), and prevalence of PPF in Workemado was significantly higher than in Sille (7.0% versus 0.6%, P < 0.001). Compared with non-endemic controls, serum retinol concentrations were significantly lower and hydroperoxides were significantly higher in subjects from schistosomiasis mansoni-endemic areas. Furthermore, serum alpha-tocopherol concentrations in subjects from an area with high prevalence of PPF were significantly reduced while the concentrations in subjects from an area with low prevalence of PPF were comparable to the levels found in non-endemic healthy controls. In conclusion, micronutrient malnutrition and oxidative stress are associated with Schistosoma mansoni infection and levels of schistosomal PPF.
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Affiliation(s)
- Nega Berhe
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
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31
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Abstract
The objective of this study was to evaluate the impact of pre-analytical factors on the short and long term stability of ascorbic acid (AA), the main form of vitamin C in whole blood and plasma. The effects of various anticoagulants, acidification, storage temperature and time were tested. A recently developed fast and sensitive HPLC method was used to measure AA levels. AA baseline values observed in heparin plasma were significantly higher than values observed in EDTA, citrate and Stabilyte plasma, as well as in serum. pH and temperature were identified as additional critical pre-analytical factors during the short, medium and long term handling and storage. Thus, assessment of reliable and accurate AA status in biological samples demonstrates to be highly dependent on whether the initial conditions during sample handling are controlled. In conclusion, heparin tubes should be used for blood sample collection. As AA is rapidly degraded, sample collection should be followed by immediate centrifugation and plasma acidification. To avoid further degradation during sample handling, samples should be stored at -70 degrees C without delay and analyzed within 80 days.
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Affiliation(s)
- A Karlsen
- Institute of Basic Medical Sciences, Department of Nutrition, University of Oslo, Oslo, Norway
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Sakhi AK, Blomhoff R, Gundersen TE. Simultaneous and trace determination of reduced and oxidized glutathione in minute plasma samples using dual mode fluorescence detection and column switching high performance liquid chromatography. J Chromatogr A 2007; 1142:178-84. [PMID: 17208244 DOI: 10.1016/j.chroma.2006.12.051] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2006] [Revised: 12/12/2006] [Accepted: 12/14/2006] [Indexed: 11/17/2022]
Abstract
A robust method for the simultaneous quantification of endogenous reduced glutathione (GSH) and oxidized glutathione (GSSG) in as little as 5 microl human plasma employing two-dimensional chromatographic system with parallel Hypercarb columns coupled with dual fluorescence detectors (FLD) has been developed. After sample preparation, 10 microl of supernatant was injected into the chromatographic system. The limits of detection (LOD) of GSH and GSSG were 0.5 and 0.040 pmol on column, respectively. Derivatization of GSH and GSSG with monobromobimane (MBB) and ortho-phthalaldehyde (OPA) provides a sensitivity and specificity that allows analysis after fingertip sampling, blood sampling from infants or multiple blood sampling from mice or other small experimental animals without sacrificing the animal.
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Affiliation(s)
- Amrit K Sakhi
- Institute of Basic Medical Sciences, Department of Nutrition, University of Oslo, PO Box 1046 Blindern, N-0316 Oslo, Norway
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33
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Gundersen TE, Bastani NE, Blomhoff R. Quantitative high-throughput determination of endogenous retinoids in human plasma using triple-stage liquid chromatography/tandem mass spectrometry. Rapid Commun Mass Spectrom 2007; 21:1176-86. [PMID: 17330217 DOI: 10.1002/rcm.2946] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
A high-throughput ultrasensitive analytical method based on liquid chromatography with positive ion atmospheric pressure chemical ionization (APCI) coupled to tandem mass spectrometric detection (LC/MS/MS) was developed for the determination of all-trans-4-oxo-retinoic acid (at4oxoRA), 13-cis-4-oxo-retinoic acid (13c4oxoRA), 13-cis-retinoic acid (13cRA), all-trans-retinoic acid (atRA) and all-trans-retinol (atROH) in human plasma. A stable isotope of atRA was used as internal standard (IS). The analytes and IS were isolated from 100 microL plasma by acetonitrile mono-phase extraction (MPE) performed in black 96-well microtiterplates. A 100 microL injection was focused on-column and chromatographed on an Agilent ZORBAX SB-C18 rapid-resolution high-throughput (RRHT) column with 1.8-microm particles (4.6 mmx50 mm) maintained at 60 degrees C. The initial mobile phase composition was acetonitrile/water/formic acid (10:90:0.1, v/v/v) delivered at 1.8 mL/min. Elution was accomplished by a fast gradient to acetonitrile/methanol/formic acid (90:10:0.1, v/v/v). The method had a chromatographic total run time of 7 min. An Applied Biosystems 4000 Q TRAP linear tandem mass spectrometer equipped with a heated nebulizer (APCI) ionization source was operated in multiple reaction monitoring (MRM) mode with the precursor-to-product ion transitions m/z 315.4-->297 (4-oxo-retinoic acids), 301.2-->205 (retinoic acids), 305.0-->209 (IS) and 269.2-->93 (retinol) used for quantification. The assay was fully validated and found to have acceptable accuracy, precision, linearity, sensitivity and selectivity. The mean extraction recoveries from spiked plasma samples were 80-105% for the various retinoids at three different levels. The intra-day accuracy of the assay was within 8% of nominal and intra-day precision was better than 8% coefficient of variance (CV) for retinoic acids. Inter-day precision results for quality control samples run over a 12-day period alongside clinical samples showed mean precision better than 12.5% CV. The limit of quantification was in the range of 0.1-0.2 ng/mL and the mass limit of detection (mLOD) was in the range 1-4 pg on column for the retinoic acids. The assay has been successfully applied to the analysis of 1700 plasma samples.
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Affiliation(s)
- Thomas E Gundersen
- Institute of Basic Medical Sciences, University of Oslo, P. O. Box 1046 Blindern, N-0316 Oslo, Norway.
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34
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Sakhi AK, Russnes KM, Smeland S, Blomhoff R, Gundersen TE. Simultaneous quantification of reduced and oxidized glutathione in plasma using a two-dimensional chromatographic system with parallel porous graphitized carbon columns coupled with fluorescence and coulometric electrochemical detection. J Chromatogr A 2006; 1104:179-89. [PMID: 16376913 DOI: 10.1016/j.chroma.2005.11.129] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2005] [Revised: 11/25/2005] [Accepted: 11/29/2005] [Indexed: 10/25/2022]
Abstract
A method for the simultaneous quantification of reduced and oxidized glutathione in human plasma employing a two-dimensional chromatographic system with parallel porous graphitized carbon (PGC) columns coupled with fluorescence (FLD) and coulometric electrochemical detection (ED) has been developed. Post-sampling oxidation of reduced glutathione (GSH) was prevented by derivatizing the -SH group with monobromobimane (MBB) and the glutathione-bimane adduct (GSMB) was detected by FLD. Oxidized glutathione (GSSG) was detected by ED optimized to give lowest possible limits of detection (LOD). The method is fully validated and is currently used for determination of GSH, GSSG and its redox potential in different clinical studies.
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Affiliation(s)
- Amrit K Sakhi
- Institute of Basic Medical Sciences, Department of Nutrition, University of Oslo, P.O. Box 1046 Blindern, N-0316 Oslo, Norway
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35
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Abstract
Methods for retinoid analysis in tissue include direct spectrophotometry or fluorometry and retinoid responsive reporter constructs in the form of cell reporter assays or transgenic reporter animals, but chromatographic methods dominate and posses several superior features in quantitative analysis. The multitude of extraction protocols used can coarsely be divided into manual liquid-liquid extraction protocols and semi- or fully automated solid phase extraction-based protocols. Liquid chromatographic separation in reversed phase dominates although normal phase is also used. Detection is mainly performed with UV detectors although electrochemical and fluorescence detection is also used. Mass spectrometry in combination with LC is more often used in retinoid analysis and is likely to dominate in the future.
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Affiliation(s)
- Thomas E Gundersen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, P.O. Box 1046, Blindern, N-0316 Oslo, Norway.
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36
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Karlsen A, Blomhoff R, Gundersen TE. High-throughput analysis of Vitamin C in human plasma with the use of HPLC with monolithic column and UV-detection. J Chromatogr B Analyt Technol Biomed Life Sci 2005; 824:132-8. [PMID: 16046288 DOI: 10.1016/j.jchromb.2005.07.008] [Citation(s) in RCA: 64] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2004] [Revised: 07/05/2005] [Accepted: 07/08/2005] [Indexed: 10/25/2022]
Abstract
Vitamin C plays a central role in the body. One of its important functions is its role as an antioxidant, and accurate measurements are important for interpretations of this role. However, its reactive nature and instability complicates the assessment, especially in biological samples. A high-throughput chromatographic method using monolithic column and UV-detection was developed for the assessment of plasma ascorbic acid and total ascorbic acid. The method showed excellent analytical sensitivity, specificity, precision, recovery and linearity during the validation study. The method was used for the assessment of ascorbic acid and total ascorbic acid during several clinical studies.
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Affiliation(s)
- Anette Karlsen
- Institute of Basic Medical Sciences, Department of Nutrition Research, University of Oslo, P.O. Box 1046, Blindern, N-0316 Oslo, Norway
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Drevon CA, Henriksen HB, Sanderud M, Gundersen TE, Blomhoff R. [Biological effects of vitamin K and concentration of vitamin K in Norwegian food]. Tidsskr Nor Laegeforen 2004; 124:1650-4. [PMID: 15229714] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/30/2023] Open
Abstract
BACKGROUND Vitamin K has several biological effects and dietary intake seems to be more important than previously believed because of low bioavailability of the vitamins from the colon. MATERIALS AND METHODS Data from the literature were identified on PubMed, and data from NORKOST II (a dietary study from 1997 based on a nation-wide sample of respondents) were used to calculate dietary intake of vitamin K. RESULTS The dietary intake of vitamin K in Norway seems to be < 50% of what is recommended. The stores of vitamin K are small and T/2 in the body is approximately 1-1.5 day. Vitamin K executes its effects by carboxylation of proteins and as ligand (vitamin K2) for a nuclear transcription factor. Biological effects beyond coagulation include bone formation, neural functioning and blood vessel calcification. Anticoagulation with warfarin inhibits vitamin K-dependent reactions and may have detrimental effects on bone formation. INTERPRETATION It is possible that the high incidence of osteoporosis in Norway may be due to the low dietary intake of vitamin K, hence it is suggested that the intake of vitamin K should be increased and vitamin K antagonists be replaced with specific thrombin inhibitors. New technology allows measurements of plasma concentration of vitamin K in relation to malabsorption, insufficient diet, and osteoporosis.
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Affiliation(s)
- Christian A Drevon
- Avdeling for ernaeringsvitenskap, Institutt for medisinske basalfag, Universitetet i Oslo, Postboks 1046 Blindern, 0316 Oslo.
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38
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Karlsen A, Alexander G, Blomhoff R, Gundersen TE. Capillary high-performance liquid chromatographic determination of lutein and zeaxanthin in aqueous humor from a single mouse eye. J Chromatogr B Analyt Technol Biomed Life Sci 2003; 795:17-23. [PMID: 12957165 DOI: 10.1016/s1570-0232(03)00483-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
To protect the eye from ultraviolet phototoxicity caused by free radicals, ocular components such as the aqueous humor accumulate antioxidants, such as the carotenoids. Lutein and zeaxanthin are the only carotenoids known to be present in the aqueous humor. Due to the small sample volume, pooling of samples from an undesirable large number of animals is often required for sufficient sensitivity and statistically significant differences to be achieved. In this paper we present a rapid, sensitive and robust packed capillary high-performance liquid chromatographic visible detection method for the quantification of lutein and zeaxanthin in the aqueous humor of single mouse eyes.
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Affiliation(s)
- Anette Karlsen
- Institute for Nutrition Research, University of Oslo, N-0316 Oslo, Norway
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39
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Otto DME, Henderson CJ, Carrie D, Davey M, Gundersen TE, Blomhoff R, Adams RH, Tickle C, Wolf CR. Identification of novel roles of the cytochrome p450 system in early embryogenesis: effects on vasculogenesis and retinoic Acid homeostasis. Mol Cell Biol 2003; 23:6103-16. [PMID: 12917333 PMCID: PMC180925 DOI: 10.1128/mcb.23.17.6103-6116.2003] [Citation(s) in RCA: 148] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The cytochrome P450-dependent monooxygenase system catalyzes the metabolism of xenobiotics and endogenous compounds, including hormones and retinoic acid. In order to establish the role of these enzymes in embryogenesis, we have inactivated the system through the deletion of the gene for the electron donor to all microsomal P450 proteins, cytochrome P450 reductase (Cpr). Mouse embryos homozygous for this deletion died in early to middle gestation (approximately 9.5 days postcoitum [dpc]) and exhibited a number of novel phenotypes, including the severe inhibition of vasculogenesis and hematopoiesis. In addition, defects in the brain, limbs, and cell types where CPR was shown to be expressed were observed. Some of the observed abnormalities have been associated with perturbations in retinoic acid homeostasis in later embryogenesis. Consistent with this possibility, embryos at 9.5 dpc had significantly elevated levels of retinoic acid and reduced levels of retinol. Further, some of the observed phenotypes could be either reversed or exacerbated by decreasing or increasing maternal retinoic acid exposure, respectively. Detailed analysis demonstrated a close relationship between the observed phenotype and the expression of genes controlling vasculogenesis. These data demonstrate that the cytochrome P450 system plays a key role in early embryonic development; this process appears to be, at least in part, controlled by regional concentrations of retinoic acid and has profound effects on blood vessel formation.
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Affiliation(s)
- Diana M E Otto
- Cancer Research UK, Molecular Pharmacology Unit, Biomedical Research Centre, Ninewells Hospital and Medical School, Dundee DD1 9SY, United Kingdom
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Petrosian AM, Haroutounian JE, Gundersen TE, Blomhoff R, Fugelli K, Kanli H. New HPLC evidence on endogenous tauret in retina and pigment epithelium. Adv Exp Med Biol 2002; 483:453-60. [PMID: 11787631 DOI: 10.1007/0-306-46838-7_50] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
This investigation was improve the separation for tauret (retinylidene taurine) and to compare its content in the retina under dark and light adaptation. To prevent tauret hydrolysis, retinal samples were quickly frozen and lyophilized. Methanol extracts of dried retina and pigment epithelium from both dark- or light-adapted frogs, Rana ridibunda, were injected onto HPLC. Synthetic standard tauret appeared at 4.7 min after the solvent front. At the same time, an endogenous substance was eluted from the mixed retinal and pigment epithelial samples. The UV spectra of this endogenous compound matched with the spectra of synthetic tauret obtained under identical conditions, with lambda(max) = 446 nm at peak. We conclude that the HPLC system used permitted full separation of tauret from the methanol extracts of the retina and pigment epithelium. TLC and further HPLC analysis have shown that tauret quantities were several times higher in the retina and pigment epithelium of the frogs adapted to dark compared with those light-adapted (about 4 h under 1000 1x illumination). Tauret based vitamin A transport is probably involved in other systems as well, where along with its other known beneficial effects taurine probably is necessary to facilitate vitamin A transport.
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Affiliation(s)
- A M Petrosian
- Buniatian Inst. of Biochemistry of Natl. Acad. Sci. of Armenia, Yerevan
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41
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Abstract
Liquid chromatography continues to be the preferred method for determining retinoids in biological samples. The highly unstable nature of retinoids and the real possibility of artifacts or erroneous results have led to the development of rapid and highly automated protocols for retinoid extraction, separation and detection. Due to strong light absorbance in the ultraviolet region, UV detectors still predominate although mass spectrometric detection is gaining increased popularity. This paper reviews recent advances and provides major guidelines for using liquid chromatography to identify and quantify retinoids in biological samples.
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Affiliation(s)
- T E Gundersen
- Institute for Nutrition Research, Faculty of Medicine, University of Oslo, Blindern, Norway.
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42
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Ulven SM, Gundersen TE, Sakhi AK, Glover JC, Blomhoff R. Quantitative axial profiles of retinoic acid in the embryonic mouse spinal cord: 9-cis retinoic acid only detected after all-trans-retinoic acid levels are super-elevated experimentally. Dev Dyn 2001; 222:341-53. [PMID: 11747070 DOI: 10.1002/dvdy.1184] [Citation(s) in RCA: 40] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Studies using bioassays in normal mice and gene activation in transgenic reporter mice have demonstrated peaks of retinoic acid receptor (RAR) signaling in the brachial and lumbar regions of the spinal cord. Recently, Solomin et al. (Solomin et al. [1998] Nature 395:398-402) detected a retinoid X receptor (RXR) signal in the same region of the developing spinal cord at a slightly later stage than the RAR signal. This finding raises the question of which retinoid ligands underlie RAR and RXR signaling in this part of the embryo. Quantitative measurements of regional differences in retinoid profiles have not been reported previously due to limitation in the sensitivity and specificity of available retinoid detection methods. Here, by using a recently developed ultrasensitive HPLC technique (Sakhi et al. [1998] J. Chromatogr. A 828:451-460), we address this question in an attempt to identify definitively the endogenous retinoids present in different regions of the spinal cord at the stages when regional differences in RAR and RXR signaling have been reported. We find a bimodal distribution of all-trans retinoic acid (at-RA), the ligand for RARs, and relate this to the expression of several retinoid-synthesizing enzymes. However, we do not detect 9-cis-retinoic acid (9-cis-RA), the putative RXR ligand, in any region of the spinal cord unless retinoid levels are massively increased experimentally by gavage feeding pregnant mice with teratogenic doses of at-RA. This study provides for the first time quantitative profiles of endogenous retinoids along the axis of the developing spinal cord, thereby establishing a foundation for more definitive studies of retinoid function in the future. It sets definite limits on how much 9-cis-RA potentially is present and demonstrates that at-RA predominates over 9-cis-RA by at least 30- to 180-fold in different spinal cord regions.
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Affiliation(s)
- S M Ulven
- Institute for Nutrition Research, Institute for Basic Medical Sciences, University of Oslo, Oslo, Norway
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43
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Hoover F, Gundersen TE, Ulven SM, Michaille JJ, Blanchet S, Blomhoff R, Glover JC. Quantitative assessment of retinoid signaling pathways in the developing eye and retina of the chicken embryo. J Comp Neurol 2001; 436:324-35. [PMID: 11438933] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2023]
Abstract
Retinoid signaling has been implicated as an important regulator of retinal development and differentiation. We have used state of the art high-pressure liquid chromatography to identify and quantitate biologically active retinoids, immunohistochemistry to localize the retinoic acid synthetic enzyme retinaldehyde dehydrogenase 2 (RALDH2), and nucleic acid assays to quantitate and localize retinoid receptor gene transcripts in the developing eye and retina of the chicken. Our results demonstrate spatial distinctions in retinoid synthesis and signaling that may be related to laminar differentiation in the developing retina. Retinoic acids (RAs) and their precursor retinols (ROHs) are the predominant retinoids in the developing eye. All-trans-RA and all-trans-3,4-didehydro-RA are present in the neuroepithelium in approximately equal amounts from early stages of neurogenesis until shortly before hatching. The retinoid X receptor (RXR) ligand 9-cis-RA is undetectable at all stages; if present, it cannot exceed a small percentage of the total RA content. RAs are not detected in the pigment epithelium. All-trans-ROH is present in the neuroepithelium and pigment epithelium, whereas all-trans-3,4-didehydro-ROH is detected only in the pigment epithelium and/or the choroid and sclera. RALDH2 immunoreactivity is intense in the choroid, low or absent in the pigment epithelium, and moderate in the neuroepithelium, where it is highest in the outer layers. Transcripts of all five chicken retinoid receptor genes are present in the neural retina and eye throughout development. During the period of neurogenesis, at least three of the receptors (RAR gamma, RXR gamma, RXRalpha), exhibit dynamic patterns of differential localization within the depths of the neural retina.
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Affiliation(s)
- F Hoover
- Department of Anatomy, Institute for Basic Medical Sciences, University of Oslo, Blindern 0317 Oslo, Norway
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44
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Hoover F, Gundersen TE, Ulven SM, Michaille JJ, Blanchet S, Blomhoff R, Glover JC. Quantitative assessment of retinoid signaling pathways in the developing eye and retina of the chicken embryo. J Comp Neurol 2001. [DOI: 10.1002/cne.1070] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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45
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Ulven SM, Gundersen TE, Weedon MS, Landaas VO, Sakhi AK, Fromm SH, Geronimo BA, Moskaug JO, Blomhoff R. Identification of endogenous retinoids, enzymes, binding proteins, and receptors during early postimplantation development in mouse: important role of retinal dehydrogenase type 2 in synthesis of all-trans-retinoic acid. Dev Biol 2000; 220:379-91. [PMID: 10753524 DOI: 10.1006/dbio.2000.9634] [Citation(s) in RCA: 97] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Specific combinations of nuclear retinoid receptors acting as ligand-inducible transcription factors mediate the essential role of retinoids in embryonic development. Whereas some data exist on the expression of these receptors during early postimplantation development in mouse, little is known about the enzymes controlling the production of active ligands for the retinoid receptors. Furthermore, at early stages of mouse development virtually no data are available on the presence of endogenous retinoids. In the present study we have used a recently developed high-performance liquid chromatographic (HPLC) technique to identify endogenous retinoids in mouse embryos down to the egg cylinder stage. All-trans-retinoic acid, a ligand for the retinoic acid receptors, was detected in embryos dissected as early as 7.5 dpc (i.e., a combination of midstreak until late allantoic bud stage embryos). At these stages, we detected mRNA coding for all the retinoid receptors, retinoid binding proteins, and two enzymes able to convert retinol to retinal (retinol dehydrogenase 5 (RDH5) and alcohol dehydrogenase 4 (ADH4)). We also detected retinal dehydrogenase type 2 (RALDH2), an enzyme capable of oxidising the final step in the all-trans-retinoic acid synthesis. In egg cylinder stage mouse embryos no all-trans-retinoic acid was detected. However, at this stage its precursor all-trans-retinal was present. In accordance with these HPLC observations, RDH5 and ADH4 were expressed, but no transcripts coding for enzymes that oxidise retinal to retinoic acid. Therefore, our results suggest that RALDH2 is a key regulator in initiating retinoic acid synthesis sometime between the mid-primitive streak stage and the late allantoic bud stage in mouse embryos.
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Affiliation(s)
- S M Ulven
- Institute for Nutrition Research, University of Oslo, Blindern, Oslo, 0316, Norway
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46
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Molander P, Thommesen SJ, Bruheim IA, Trones R, Greibrokk T, Lundanes E, Gundersen TE. Temperature-Programmed Packed Capillary Liquid Chromatography Separation with Large Volume On-Column Focusing of Retinyl Esters. ACTA ACUST UNITED AC 1999. [DOI: 10.1002/(sici)1521-4168(19990901)22:9<490::aid-jhrc490>3.0.co;2-w] [Citation(s) in RCA: 40] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Christensen EI, Moskaug JO, Vorum H, Jacobsen C, Gundersen TE, Nykjaer A, Blomhoff R, Willnow TE, Moestrup SK. Evidence for an essential role of megalin in transepithelial transport of retinol. J Am Soc Nephrol 1999; 10:685-95. [PMID: 10203351 DOI: 10.1681/asn.v104685] [Citation(s) in RCA: 190] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Transepithelial transport of retinol is linked to retinol-binding protein (RBP), which is taken up and also synthesized in a number of epithelia. By immunocytochemistry of human, rat, and mouse renal proximal tubules, a strong staining in apical endocytic vacuoles, lysosomes, endoplasmic reticulum, Golgi, and basal vesicles was observed, in accordance with luminal endocytic uptake as well as a constitutive synthesis and basal secretion of RBP. Analysis of mice with target disruption of the gene for the major endocytic receptor of proximal tubules, megalin, revealed no RBP in proximal tubules of these mice. Western blotting and HPLC of the urine of the megalin-deficient mice instead revealed a highly increased urinary excretion of RBP and retinol, demonstrating that glomerular filtered RBP-retinol of megalin-deficient mice escapes uptake by proximal tubules. A direct megalin-mediated uptake of purified RBP-retinol was indicated by surface plasmon resonance analysis and uptake in immortalized rat yolk sac cells. Uptake was partially inhibited by a polyclonal megalin antibody and the receptor-associated protein. The present data show that the absence of RBP-binding megalin causes a significantly increased loss of RBP and retinol in the urine, demonstrating a crucial role of megalin in vitamin A homeostasis.
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Affiliation(s)
- E I Christensen
- Department of Cell Biology, Institute of Anatomy, University of Aarhus, Denmark.
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48
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Abstract
On-line solid-phase extraction coupled with micro-HPLC by column switching is an ideal technique for the analysis of retinoic acid in serum or plasma. The advantages are mainly contributed to an automated sample workup and low detection limits. On-line processing of the sample ensures minimal losses and full light protection during the entire procedure. Critical steps such as evaporation, extraction, and multiple transfers are avoided. Furthermore, the precision of highly automated methods is generally better than manual methods. We have successfully coupled a 2.1-mm I.D. analytical column with a 2.1-mm extraction column. This setup allows for large amounts of supernatant to be injected onto precolumns for concentration and cleanup. By means of column switching, this concentrate is transferred to the microcolumn with a highly reduced volume. The reduced diameter of the analytical column and the on-line solid-phase extraction allow for the fully automated quantification of as little as 100 fmol all-trans-retinoic acid in human serum. The detection limits obtained with these column switching techniques can compete with LC-MS. This new micro-HPLC method will be useful for the quantitation of endogenous retinoic acid metabolites, which are present at very low concentrations in biological material. Furthermore, more sensitive methods might also lead to the discovery of hitherto unknown retinoic acid metabolites. The combination of on-line SPE and micro-HPLC has, to our knowledge, not been used previously for retinoic acid analysis. The development of isocratic separation methods for retinoic acid isomers made this possible.
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Affiliation(s)
- T E Gundersen
- Institute for Nutrition Research, University of Oslo, Norway
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49
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Sakhi AK, Gundersen TE, Ulven SM, Blomhoff R, Lundanes E. Quantitative determination of endogenous retinoids in mouse embryos by high-performance liquid chromatography with on-line solid-phase extraction, column switching and electrochemical detection. J Chromatogr A 1998; 828:451-60. [PMID: 9916324 DOI: 10.1016/s0021-9673(98)00676-1] [Citation(s) in RCA: 44] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
An isocratic high-performance liquid chromatographic method for the determination of 9-cis-retinoic acid, 13-cis-retinoic acid, all-trans-retinoic acid and all-trans-retinol in mouse embryos using on-line solid-phase extraction and column switching in combination with electrochemical detection has been developed. The method was validated using retinoids in albumin solutions and 13-cis-acitretin was used as internal standard. About 370 microliters of albumin solution was injected on a 10 x 2.1-mm I.D. pre-column packed with Bondapak C18, 37-53-micron particles. The proteins were washed to waste within 5 min using as mobile phase, a 1:3 dilution of mobile phase 2, which consisted of acetonitrile-methanol-2% ammonium acetate-glacial acetic acid (79:2:16:3, v/v). Components retained on the pre-column were back-flushed to and separated on the 250 x 4.6-mm I.D. Suplex pKb-100 analytical column using mobile phase 2. The retinoids were detected electrochemically at +750 mV using a coulometric electrochemical detector. The total analysis time was about 20 min. Recoveries were in the range of 86-103%. The mass limits of detection were about 10 pg and 25 pg for the retinoic acids and all-trans-retinol, respectively. The intra-assay precision, reported as relative standard deviation, was in general better than 4% (n = 6) for the four retinoids. Inter-assay precision was in the range 3-4% (n = 10). The method was applied for determination of endogenous retinoids in 9.5 day-old mouse embryos. A 340-microliter solution containing 100 microliters of embryo homogenate (1.64 embryos) was analyzed. The concentrations of all-trans-retinol and all-trans-retinoic acid were found to be 279 pg per embryo and 75.8 pg per embryo, respectively. The amount of 13-cis-retinoic acid and 9-cis-retinoic acid was below the detection limit.
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Affiliation(s)
- A K Sakhi
- Department of Chemistry, University of Oslo, Norway
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50
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Holven KB, Natarajan V, Gundersen TE, Moskaug JO, Norum KR, Blomhoff R. Secretion of N-(4-hydroxyphenyl) retinamide-retinol-binding protein from liver parenchymal cells: evidence for reduced affinity of the complex for transthyretin. Int J Cancer 1997. [PMID: 9178822 DOI: 10.1002/(sici)1097-0215(19970516)71:4<654::aid-ijc23>3.0.co;2-a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The synthetic retinoid 4-HPR has been shown to markedly lower the plasma concentration of both retinol and RBP in rats and humans. We have studied the effect of 4-HPR on the secretion of retinol-RBP from liver cells in vivo and in vitro. In rats maintained with a normal diet, a vitamin A-deficient diet or a normal diet supplemented with 4-HPR, chylomicrons [3H]retinyl esters were rapidly cleared from the plasma. The secretion of chylomicron-derived [3H]retinol from tissues to the circulation, however, was different. In control rats, the lymph-derived [3H]retinol peaked after about 2 hr, whereas 4-HPR treatment effectively reduced this peak of [3H]retinol. Our results suggest that 4-HPR inhibits secretion of retinol-RBP from the liver. Therefore, we decided to study the effect of 4-HPR on the secretion of RBP using the human hepatoma cell line HepG2. Retinol and 4-HPR were found to induce the secretion of RBP. The medium from cells treated with 4-HPR was immunoprecipitated with antibodies against human RBP. HPLC analysis of the precipitated RBP revealed the presence of 4-HPR. When the medium from cells incubated with either 4-HPR or retinol was applied to a TTR affinity column, we found that RBP from cells incubated with 4-HPR had a considerably reduced affinity for TTR. We conclude that 4-HPR binds RBP and thereby induces secretion of RBP in HepG2 cells, and that the secreted 4-HPR-RBP complex has a reduced affinity for TTR. This observation may explain the 4-HPR-induced reduction of plasma retinol and RBP observed in in vivo studies.
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Affiliation(s)
- K B Holven
- Institute for Nutrition Research, School of Medicine, University of Oslo, Norway
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