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Xu H, Zhao Y, Tan R, Li M, Yu C, Rui D, Li J, Xiong Y, Zheng W. Association of consumption of sugar-sweetened beverages with elevated blood pressure among college students in Yunnan Province, China. Public Health Nutr 2024; 27:e85. [PMID: 38418286 DOI: 10.1017/s1368980024000569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2024]
Abstract
OBJECTIVE Although some studies have examined the association between eating behaviour and elevated blood pressure (EBP) in adolescents, current data on the association between sugar-sweetened beverages (SSB) and EBP in adolescents in Yunnan Province, China, are lacking. SETTING Cluster sampling was used to survey freshmen at a college in Kunming, Yunnan Province, from November to December. Data on SSB consumption were collected using an FFQ measuring height, weight and blood pressure. A logistic regression model was used to analyse the association between SSB consumption and EBP, encompassing prehypertension and hypertension with sex-specific analyses. PARTICIPANTS The analysis included 4781 college students. RESULTS Elevated systolic blood pressure (SBP) and diastolic blood pressure (DBP) were detected in 35·10 % (1678/4781) and 39·34 % (1881/4781) of patients, respectively. After adjusting for confounding variables, tea beverage consumption was associated with elevated SBP (OR = 1·24, 95 % CI: 1·03, 1·49, P = 0·024), and carbonated beverage (OR = 1·23, 95 % CI: 1·04, 1·45, P = 0·019) and milk beverage (OR = 0·81, 95 % CI: 0·69, 0·95, P = 0·010) consumption was associated with elevated DBP in college students. Moreover, fruit beverage (OR = 1·32, 95 % CI: 1·00, 1·75, P = 0·048) and milk beverage consumption (OR = 0·69, 95 % CI: 0·52, 0·93, P = 0·014) was associated with elevated DBP in males. CONCLUSION Our findings indicated that fruit and milk beverage consumption was associated with elevated DBP in males, and no association was observed with EBP in females.
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Affiliation(s)
- Honglv Xu
- School of Medicine, Kunming University, Kunming, Yunnan650214, China
- Community Nursing Research Team of Kunming University, Kunming, Yunnan650214, China
| | - Yun Zhao
- Department of Infection Control, Yan'an Hospital of Kunming City, Kunming650051, China
| | - Rui Tan
- Department of Infection Control, Yan'an Hospital of Kunming City, Kunming650051, China
| | - Min Li
- The First People's Hospital of Kunming, Kunming, Yunnan650100, China
| | - Chunjie Yu
- The First People's Hospital of Kunming, Kunming, Yunnan650100, China
| | - Danyun Rui
- School of Medicine, Kunming University, Kunming, Yunnan650214, China
- Community Nursing Research Team of Kunming University, Kunming, Yunnan650214, China
| | - Jiangli Li
- School of Medicine, Kunming University, Kunming, Yunnan650214, China
- Community Nursing Research Team of Kunming University, Kunming, Yunnan650214, China
| | - Yuan Xiong
- School of Medicine, Kunming University, Kunming, Yunnan650214, China
- Community Nursing Research Team of Kunming University, Kunming, Yunnan650214, China
| | - Weibin Zheng
- Baoshan Center for Disease Control and Prevention, Baoshan, Yunnan678100, China
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2
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Papier K, Kakkoura MG, Guo Y, Knuppel A, Pei P, Tong TYN, Yu C, Perez-Cornago A, Chang WC, Chen J, Lv J, Li L, Chen Z, Du H, Key TJ. Intakes of major food groups in China and UK: results from 100,000 adults in the China Kadoorie biobank and UK biobank. Eur J Nutr 2023; 62:819-832. [PMID: 36271961 PMCID: PMC9941233 DOI: 10.1007/s00394-022-03031-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 10/05/2022] [Indexed: 02/03/2023]
Abstract
PURPOSE Different populations may exhibit differences in dietary intakes, which may result in heterogeneities in diet-disease associations. We compared intakes of major food groups overall, by sex, and by socio-economic status (SES) (defined as both education and income), between participants in the China Kadoorie Biobank (CKB) and the UK Biobank (UKB). METHODS Data were from ~ 25,000 CKB participants who completed a validated interviewer-administered computer-based questionnaire (2013-2014) and ~ 74,000 UKB participants who completed ≥ 3 web-based 24-h dietary assessments (2009-2012). Intakes of 12 major food groups and five beverages were harmonized and compared between the cohorts overall, by sex and by SES. Multivariable-adjusted linear regression examined the associations between dietary intakes and body mass index (BMI) in each cohort. RESULTS CKB participants reported consuming more rice, eggs, vegetables, soya products, and less wheat, other staple foods (other than rice and wheat), fish, poultry, all dairy products, fruit, and beverages compared to UKB participants. Red meat intake was similar in both cohorts. Having a higher SES was generally associated with a higher consumption of foods and beverages in CKB, whereas in UKB dietary intakes differed more by education and income, with a positive association observed for meat and income in both UKB and CKB but an inverse association observed for education in UKB. Associations of dietary intakes with BMI varied between the two cohorts. CONCLUSION The large differences in dietary intakes and their associations with SES and BMI could provide insight into the interpretation of potentially different diet-disease associations between CKB and UKB.
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Affiliation(s)
- Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Maria G Kakkoura
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
- Fuwai Hospital Chinese Academy of Medical Sciences, Beijing, China
| | - Anika Knuppel
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK
| | - Pei Pei
- Fuwai Hospital Chinese Academy of Medical Sciences, Beijing, China
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, 100191, China
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Wing Ching Chang
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, 100191, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, 100191, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Huaidong Du
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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3
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Heianza Y, Xue Q, Rood J, Bray GA, Sacks FM, Qi L. Circulating thrifty microRNA is related to insulin sensitivity, adiposity, and energy metabolism in adults with overweight and obesity: the POUNDS Lost trial. Am J Clin Nutr 2023; 117:121-129. [PMID: 36789931 PMCID: PMC10196610 DOI: 10.1016/j.ajcnut.2022.10.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 09/27/2022] [Accepted: 10/28/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND MicroRNA 128-1 (miR-128-1) was recently linked to the evolutionary adaptation to famine and identified as a thrifty microRNA that controls energy expenditure, contributing to obesity and impaired glucose metabolism. OBJECTIVES We investigated whether circulating miR-128-1-5p and its temporal changes in response to weight-loss diet interventions were related to regulating insulin resistance, adiposity, and energy expenditure in adults with overweight and obesity. We also examined whether habitual physical activity (PA) and different macronutrient intakes modified associations of changes in miR-128-1-5p with improved metabolic outcomes. METHODS This study included 495 adults who consumed weight-loss diets with different macronutrient intakes. Circulating levels of miR-128-1-5p were assessed at baseline and 6 mo after the interventions. Outcome measurements included changes in insulin resistance HOMA-IR, adiposity, and resting energy expenditure. RESULTS We observed significant relations between circulating miR-128-1-5p and the positive selection signals at the 2q21.3 locus assessed by the single nucleotide polymorphisms rs1446585 and rs4988235. Higher miR-128-1-5p levels were associated with greater HOMA-IR (β per 1 SD: 0.08 [SE 0.03]; P = 0.009), waist circumference (β, 1.16 [0.55]; P = 0.036), whole-body total % fat mass (β, 0.75 [0.30]; P = 0.013), and REE (β, 23 [11]; P = 0.037). In addition, higher miR-128-1-5p level was related to lower total PA index (β, -0.23 [0.07]; P = 0.001) and interacted with PA (Pinteraction < 0.05) on changes in HOMA-IR and adiposity. We found that greater increases in miR-128-1-5p levels after the interventions were associated with lesser improvements in HOMA-IR and adiposity in participants with no change/decreases in PA. Furthermore, we found that dietary fat (Pinteraction = 0.027) and protein (Pinteraction= 0.055) intakes modified relations between changes in miR-128-1-5p and REE. CONCLUSIONS Circulating thrifty miRNA was linked to regulating body fat, insulin resistance, and energy metabolism. Temporal changes in circulating miR-128-1-5p were associated with better weight-loss outcomes during the interventions; habitual PA and dietary macronutrient intake may modify such relations. This trial was registered at clinicaltrials.gov as NCT00072995.
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Affiliation(s)
- Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
| | - Qiaochu Xue
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Jennifer Rood
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - George A Bray
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - Frank M Sacks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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4
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Yuan S, Sun J, Lu Y, Xu F, Li D, Jiang F, Wan Z, Li X, Qin LQ, Larsson SC. Health effects of milk consumption: phenome-wide Mendelian randomization study. BMC Med 2022; 20:455. [PMID: 36424608 PMCID: PMC9694907 DOI: 10.1186/s12916-022-02658-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 11/09/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND We performed phenome-wide Mendelian randomization analysis (MR-PheWAS), two-sample MR analysis, and systemic review to comprehensively explore the health effects of milk consumption in the European population. METHODS Rs4988235 located upstream of the LCT gene was used as the instrumental variable for milk consumption. MR-PheWAS analysis was conducted to map the association of genetically predicted milk consumption with 1081 phenotypes in the UK Biobank study (n=339,197). The associations identified in MR-PheWAS were examined by two-sample MR analysis using data from the FinnGen study (n=260,405) and international consortia. A systematic review of MR studies on milk consumption was further performed. RESULTS PheWAS and two-sample MR analyses found robust evidence in support of inverse associations of genetically predicted milk consumption with risk of cataract (odds ratio (OR) per 50 g/day increase in milk consumption, 0.89, 95% confidence interval (CI), 0.84-0.94; p=3.81×10-5), hypercholesterolemia (OR, 0.91, 95% CI 0.86-0.96; p=2.97×10-4), and anal and rectal polyps (OR, 0.85, 95% CI, 0.77-0.94; p=0.001). An inverse association for type 2 diabetes risk (OR, 0.92, 95% CI, 0.86-0.97; p=0.003) was observed in MR analysis based on genetic data with body mass index adjustment but not in the corresponding data without body mass index adjustment. The systematic review additionally found evidence that genetically predicted milk consumption was inversely associated with asthma, hay fever, multiple sclerosis, colorectal cancer, and Alzheimer's disease, and positively associated with Parkinson's disease, renal cell carcinoma, metabolic syndrome, overweight, and obesity. CONCLUSIONS This study suggests several health effects of milk consumption in the European population.
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Affiliation(s)
- Shuai Yuan
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Jing Sun
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ying Lu
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Fengzhe Xu
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Westlake Intelligent Biomarker Discovery Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
| | - Doudou Li
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Fangyuan Jiang
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhongxiao Wan
- Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
| | - Xue Li
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Li-Qiang Qin
- Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China.
| | - Susanna C Larsson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. .,Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
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5
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Evershed RP, Davey Smith G, Roffet-Salque M, Timpson A, Diekmann Y, Lyon MS, Cramp LJE, Casanova E, Smyth J, Whelton HL, Dunne J, Brychova V, Šoberl L, Gerbault P, Gillis RE, Heyd V, Johnson E, Kendall I, Manning K, Marciniak A, Outram AK, Vigne JD, Shennan S, Bevan A, Colledge S, Allason-Jones L, Amkreutz L, Anders A, Arbogast RM, Bălăşescu A, Bánffy E, Barclay A, Behrens A, Bogucki P, Carrancho Alonso Á, Carretero JM, Cavanagh N, Claßen E, Collado Giraldo H, Conrad M, Csengeri P, Czerniak L, Dębiec M, Denaire A, Domboróczki L, Donald C, Ebert J, Evans C, Francés-Negro M, Gronenborn D, Haack F, Halle M, Hamon C, Hülshoff R, Ilett M, Iriarte E, Jakucs J, Jeunesse C, Johnson M, Jones AM, Karul N, Kiosak D, Kotova N, Krause R, Kretschmer S, Krüger M, Lefranc P, Lelong O, Lenneis E, Logvin A, Lüth F, Marton T, Marley J, Mortimer R, Oosterbeek L, Oross K, Pavúk J, Pechtl J, Pétrequin P, Pollard J, Pollard R, Powlesland D, Pyzel J, Raczky P, Richardson A, Rowe P, Rowland S, Rowlandson I, Saile T, Sebők K, Schier W, Schmalfuß G, Sharapova S, Sharp H, Sheridan A, Shevnina I, Sobkowiak-Tabaka I, Stadler P, Stäuble H, Stobbe A, Stojanovski D, Tasić N, van Wijk I, Vostrovská I, Vuković J, Wolfram S, Zeeb-Lanz A, Thomas MG. Dairying, diseases and the evolution of lactase persistence in Europe. Nature 2022; 608:336-345. [PMID: 35896751 PMCID: PMC7615474 DOI: 10.1038/s41586-022-05010-7] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 06/22/2022] [Indexed: 12/22/2022]
Abstract
In European and many African, Middle Eastern and southern Asian populations, lactase persistence (LP) is the most strongly selected monogenic trait to have evolved over the past 10,000 years1. Although the selection of LP and the consumption of prehistoric milk must be linked, considerable uncertainty remains concerning their spatiotemporal configuration and specific interactions2,3. Here we provide detailed distributions of milk exploitation across Europe over the past 9,000 years using around 7,000 pottery fat residues from more than 550 archaeological sites. European milk use was widespread from the Neolithic period onwards but varied spatially and temporally in intensity. Notably, LP selection varying with levels of prehistoric milk exploitation is no better at explaining LP allele frequency trajectories than uniform selection since the Neolithic period. In the UK Biobank4,5 cohort of 500,000 contemporary Europeans, LP genotype was only weakly associated with milk consumption and did not show consistent associations with improved fitness or health indicators. This suggests that other reasons for the beneficial effects of LP should be considered for its rapid frequency increase. We propose that lactase non-persistent individuals consumed milk when it became available but, under conditions of famine and/or increased pathogen exposure, this was disadvantageous, driving LP selection in prehistoric Europe. Comparison of model likelihoods indicates that population fluctuations, settlement density and wild animal exploitation-proxies for these drivers-provide better explanations of LP selection than the extent of milk exploitation. These findings offer new perspectives on prehistoric milk exploitation and LP evolution.
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Affiliation(s)
- Richard P Evershed
- Organic Geochemistry Unit, School of Chemistry, University of Bristol, Bristol, UK.
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
- NIHR Bristol Biomedical Research Centre, University of Bristol, Bristol, UK.
| | | | - Adrian Timpson
- Department of Genetics, Evolution and Environment, University College London, London, UK
- Max Planck Institute for the Science of Human History, Jena, Germany
| | - Yoan Diekmann
- Department of Genetics, Evolution and Environment, University College London, London, UK
- Palaeogenetics Group, Institute of Organismic and Molecular Evolution (iomE), Johannes Gutenberg University Mainz, Mainz, Germany
| | - Matthew S Lyon
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, University of Bristol, Bristol, UK
| | - Lucy J E Cramp
- Department of Anthropology and Archaeology, University of Bristol, Bristol, UK
| | - Emmanuelle Casanova
- Organic Geochemistry Unit, School of Chemistry, University of Bristol, Bristol, UK
| | - Jessica Smyth
- Organic Geochemistry Unit, School of Chemistry, University of Bristol, Bristol, UK
- School of Archaeology, University College Dublin, Dublin, Ireland
| | - Helen L Whelton
- Organic Geochemistry Unit, School of Chemistry, University of Bristol, Bristol, UK
| | - Julie Dunne
- Organic Geochemistry Unit, School of Chemistry, University of Bristol, Bristol, UK
| | - Veronika Brychova
- Department of Dairy, Fat and Cosmetics, University of Chemistry and Technology Prague, Prague, Czech Republic
- Nuclear Dosimetry Department, Institute of Nuclear Physics of the Czech Academy of Sciences, Prague, Czech Republic
| | - Lucija Šoberl
- Organic Geochemistry Unit, School of Chemistry, University of Bristol, Bristol, UK
| | - Pascale Gerbault
- Department of Genetics, Evolution and Environment, University College London, London, UK
- School of Life Sciences, University of Westminster, London, UK
| | - Rosalind E Gillis
- Archéozoologie, Archéobotanique: Sociétés, Pratiques et Environnement (UMR 7209), CNRS-Muséum National d'Histoire Naturelle-Sorbonne Universités, Paris, France
- ICArEHB, Faculdade de Ciências Humanas e Sociais, Universidade do Algarve, Faro, Portugal
| | - Volker Heyd
- Department of Anthropology and Archaeology, University of Bristol, Bristol, UK
- Department of Cultures, Section of Archaeology, University of Helsinki, Helsinki, Finland
| | - Emily Johnson
- Department of Archaeology, University of Exeter, Exeter, UK
- Archaeology South-East, UCL Institute of Archaeology, University College London, London, UK
| | - Iain Kendall
- Organic Geochemistry Unit, School of Chemistry, University of Bristol, Bristol, UK
| | - Katie Manning
- Department of Geography, King's College London, London, UK
| | | | - Alan K Outram
- Department of Archaeology, University of Exeter, Exeter, UK
| | - Jean-Denis Vigne
- Archéozoologie, Archéobotanique: Sociétés, Pratiques et Environnement (UMR 7209), CNRS-Muséum National d'Histoire Naturelle-Sorbonne Universités, Paris, France
| | - Stephen Shennan
- UCL Institute of Archaeology, University College London, London, UK
| | - Andrew Bevan
- UCL Institute of Archaeology, University College London, London, UK
| | - Sue Colledge
- UCL Institute of Archaeology, University College London, London, UK
| | | | - Luc Amkreutz
- National Museum of Antiquities, Leiden, the Netherlands
| | - Alexandra Anders
- Institute of Archaeological Sciences, Eötvös Loránd University, Budapest, Hungary
| | | | - Adrian Bălăşescu
- Department of Bioarchaeology, 'Vasile Pârvan' Institute of Archaeology, Romanian Academy, Bucharest, Romania
| | - Eszter Bánffy
- Institute of Archaeology, Research Centre for the Humanities, Eötvös Loránd Research Network, Centre of Excellence of the Hungarian Academy of Sciences, Budapest, Hungary
- Römisch-Germanische Kommission, Frankfurt, Germany
| | | | - Anja Behrens
- German Archaeological Institute, Berlin, Germany
| | - Peter Bogucki
- School of Engineering and Applied Science, Princeton University, Princeton, NJ, USA
| | - Ángel Carrancho Alonso
- Área de Prehistoria, Departamento de Historia, Geografía y Comunicación, University of Burgos, Burgos, Spain
| | - José Miguel Carretero
- Laboratorio Evolución Humana, University of Burgos, Burgos, Spain
- Centro Mixto UCM-ISCIII de Evolución y Comportamiento Humana, Madrid, Spain
| | | | - Erich Claßen
- LVR-State Service for Archaeological Heritage, Bonn, Germany
| | - Hipolito Collado Giraldo
- Patrimonio & Arte Research Group, Extremadura University, Badajoz and Cáceres, Badajoz, Spain
- Geosciences Centre, Coimbra University, Coimbra, Portugal
| | | | | | - Lech Czerniak
- Institute of Archaeology and Ethnology, University of Gdańsk, Gdańsk, Poland
| | - Maciej Dębiec
- Institute of Archaeology, University Rzeszów, Rzeszów, Poland
| | | | | | | | - Julia Ebert
- Institute of Prehistoric Archaeology, Free University of Berlin, Berlin, Germany
| | - Christopher Evans
- Cambridge Archaeological Unit, University of Cambridge, Cambridge, UK
| | | | - Detlef Gronenborn
- Römisch-Germanisches Zentralmuseum, Leibniz Research Institute for Archaeology, Mainz, Germany
| | - Fabian Haack
- Archaeological Department, Landesmuseum Württemberg, Stuttgart, Germany
| | | | - Caroline Hamon
- UMR 8215, Trajectoires, Université Paris 1 Panthéon-Sorbonne, Paris, France
| | - Roman Hülshoff
- State Office for Heritage Management and Archaeology, Saxony Anhalt/State Museum of Prehistory, Halle/Saale, Germany
| | - Michael Ilett
- UMR 8215, Trajectoires, Université Paris 1 Panthéon-Sorbonne, Paris, France
| | - Eneko Iriarte
- Laboratorio Evolución Humana, University of Burgos, Burgos, Spain
| | - János Jakucs
- Institute of Archaeology, Research Centre for the Humanities, Eötvös Loránd Research Network, Centre of Excellence of the Hungarian Academy of Sciences, Budapest, Hungary
| | | | | | - Andy M Jones
- Cornwall Archaeological Unit, Cornwall Council, Truro, UK
| | | | - Dmytro Kiosak
- 'I.I. Mechnikov', Odessa National University, Odessa, Ukraine
- Ca' Foscari, University of Venice, Venice, Italy
| | - Nadezhda Kotova
- Institute of Archaeology of Academy of Science of Ukraine, Kiev, Ukraine
| | - Rüdiger Krause
- Prehistory Department, Institut of Archaeology, Johann Wolfgang Goethe-Universität, Frankfurt, Germany
| | | | - Marta Krüger
- Department of Archaeology, Adam Mickiewicz University, Poznań, Poland
| | - Philippe Lefranc
- UMR 7044, INRAP Grand-Est Sud, University of Strasbourg, Strasbourg, France
| | - Olivia Lelong
- GUARD Glasgow, Glasgow, UK
- Eunomia Research & Consulting, Bristol, UK
| | - Eva Lenneis
- Department of Prehistoric and Historical Archaeology, University of Vienna, Vienna, Austria
| | | | | | - Tibor Marton
- Institute of Archaeology, Research Centre for the Humanities, Eötvös Loránd Research Network, Centre of Excellence of the Hungarian Academy of Sciences, Budapest, Hungary
| | | | | | - Luiz Oosterbeek
- Geosciences Centre, Coimbra University, Coimbra, Portugal
- Polytechnic Institute of Tomar, Tomar, Portugal
- Terra e Memória Institute, Mação, Portugal
| | - Krisztián Oross
- Institute of Archaeology, Research Centre for the Humanities, Eötvös Loránd Research Network, Centre of Excellence of the Hungarian Academy of Sciences, Budapest, Hungary
| | | | - Joachim Pechtl
- Kelten Römer Museum Manching, Manching, Germany
- Department of Archaeology, University of Innsbruck, Innsbruck, Austria
| | - Pierre Pétrequin
- MSHE C.N. Ledoux, CNRS & University of Franche-Comté, Besançon, France
| | - Joshua Pollard
- Department of Archaeology, University of Southampton, Southampton, UK
| | | | | | - Joanna Pyzel
- Institute of Archaeology and Ethnology, University of Gdańsk, Gdańsk, Poland
| | - Pál Raczky
- Institute of Archaeological Sciences, Eötvös Loránd University, Budapest, Hungary
| | | | - Peter Rowe
- Tees Archaeology, Hartlepool, UK
- North Yorkshire County Council HER, Northallerton, UK
| | | | | | - Thomas Saile
- Institute of History, University of Regensburg, Regensburg, Germany
| | - Katalin Sebők
- Institute of Archaeological Sciences, Eötvös Loránd University, Budapest, Hungary
| | - Wolfram Schier
- Institute of Prehistoric Archaeology, Free University of Berlin, Berlin, Germany
| | | | | | - Helen Sharp
- Leicestershire County Council Museums, Leicestershire, UK
| | | | | | - Iwona Sobkowiak-Tabaka
- Institute of Archaeology and Ethnology, Polish Academy of Sciences, Poznań, Poland
- Faculty of Archaeology, Adam Mickiewicz University, Poznań, Poland
| | - Peter Stadler
- Department of Prehistoric and Historical Archaeology, University of Vienna, Vienna, Austria
| | | | - Astrid Stobbe
- Prehistory Department, Institut of Archaeology, Johann Wolfgang Goethe-Universität, Frankfurt, Germany
| | - Darko Stojanovski
- Geology Department, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal
- Department of Humanistic Studies, University of Ferrara, Ferrara, Italy
| | | | - Ivo van Wijk
- Faculty of Archaeology, Leiden University, Leiden, the Netherlands
| | - Ivana Vostrovská
- Institute of Archaeology and Museology, Masaryk University, Brno, Czech Republic
- Department of History, Palacký University, Olomouc, Czech Republic
| | | | | | - Andrea Zeeb-Lanz
- Generaldirektion Kulturelles Erbe Rheinland-Pfalz, Dir. Landesarchäologie, Speyer, Germany
| | - Mark G Thomas
- Department of Genetics, Evolution and Environment, University College London, London, UK.
- UCL Genetics Institute, University College London, London, UK.
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6
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Pirastu N, McDonnell C, Grzeszkowiak EJ, Mounier N, Imamura F, Merino J, Day FR, Zheng J, Taba N, Concas MP, Repetto L, Kentistou KA, Robino A, Esko T, Joshi PK, Fischer K, Ong KK, Gaunt TR, Kutalik Z, Perry JRB, Wilson JF. Using genetic variation to disentangle the complex relationship between food intake and health outcomes. PLoS Genet 2022; 18:e1010162. [PMID: 35653391 PMCID: PMC9162356 DOI: 10.1371/journal.pgen.1010162] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 03/22/2022] [Indexed: 02/02/2023] Open
Abstract
Diet is considered as one of the most important modifiable factors influencing human health, but efforts to identify foods or dietary patterns associated with health outcomes often suffer from biases, confounding, and reverse causation. Applying Mendelian randomization in this context may provide evidence to strengthen causality in nutrition research. To this end, we first identified 283 genetic markers associated with dietary intake in 445,779 UK Biobank participants. We then converted these associations into direct genetic effects on food exposures by adjusting them for effects mediated via other traits. The SNPs which did not show evidence of mediation were then used for MR, assessing the association between genetically predicted food choices and other risk factors, health outcomes. We show that using all associated SNPs without omitting those which show evidence of mediation, leads to biases in downstream analyses (genetic correlations, causal inference), similar to those present in observational studies. However, MR analyses using SNPs which have only a direct effect on the exposure on food exposures provided unequivocal evidence of causal associations between specific eating patterns and obesity, blood lipid status, and several other risk factors and health outcomes.
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Affiliation(s)
- Nicola Pirastu
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
- Human Technopole, Milan, Italy
- * E-mail:
| | - Ciara McDonnell
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
- Centre for Cardiovascular Sciences, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Eryk J. Grzeszkowiak
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Ninon Mounier
- Centre for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Fumiaki Imamura
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Jordi Merino
- Diabetes Unit and Centre for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Felix R. Day
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Jie Zheng
- MRC Integrative Epidemiology Unit, Bristol Medical School, Bristol, United Kingdom
| | - Nele Taba
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
- Institute for Maternal and Child Health—IRCCS “Burlo Garofolo”, Trieste, Italy
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Maria Pina Concas
- Institute for Maternal and Child Health—IRCCS “Burlo Garofolo”, Trieste, Italy
| | - Linda Repetto
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Katherine A. Kentistou
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
- Centre for Cardiovascular Sciences, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Antonietta Robino
- Institute for Maternal and Child Health—IRCCS “Burlo Garofolo”, Trieste, Italy
| | - Tõnu Esko
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Peter K. Joshi
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Krista Fischer
- Institute of Mathematics and Statistics, University of Tartu, Tartu, Estonia
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Ken K. Ong
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Tom R. Gaunt
- MRC Integrative Epidemiology Unit, Bristol Medical School, Bristol, United Kingdom
| | - Zoltán Kutalik
- Centre for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - John R. B. Perry
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - James F. Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland, United Kingdom
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7
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Domenighetti C, Sugier PE, Ashok Kumar Sreelatha A, Schulte C, Grover S, Mohamed O, Portugal B, May P, Bobbili DR, Radivojkov-Blagojevic M, Lichtner P, Singleton AB, Hernandez DG, Edsall C, Mellick GD, Zimprich A, Pirker W, Rogaeva E, Lang AE, Koks S, Taba P, Lesage S, Brice A, Corvol JC, Chartier-Harlin MC, Mutez E, Brockmann K, Deutschländer AB, Hadjigeorgiou GM, Dardiotis E, Stefanis L, Simitsi AM, Valente EM, Petrucci S, Duga S, Straniero L, Zecchinelli A, Pezzoli G, Brighina L, Ferrarese C, Annesi G, Quattrone A, Gagliardi M, Matsuo H, Kawamura Y, Hattori N, Nishioka K, Chung SJ, Kim YJ, Kolber P, van de Warrenburg BPC, Bloem BR, Aasly J, Toft M, Pihlstrøm L, Correia Guedes L, Ferreira JJ, Bardien S, Carr J, Tolosa E, Ezquerra M, Pastor P, Diez-Fairen M, Wirdefeldt K, Pedersen NL, Ran C, Belin AC, Puschmann A, Hellberg C, Clarke CE, Morrison KE, Tan M, Krainc D, Burbulla LF, Farrer MJ, Krüger R, Gasser T, Sharma M, Elbaz A. Dairy Intake and Parkinson's Disease: A Mendelian Randomization Study. Mov Disord 2022; 37:857-864. [PMID: 34997937 DOI: 10.1002/mds.28902] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 12/08/2021] [Accepted: 12/10/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Previous prospective studies highlighted dairy intake as a risk factor for Parkinson's disease (PD), particularly in men. It is unclear whether this association is causal or explained by reverse causation or confounding. OBJECTIVE The aim is to examine the association between genetically predicted dairy intake and PD using two-sample Mendelian randomization (MR). METHODS We genotyped a well-established instrumental variable for dairy intake located in the lactase gene (rs4988235) within the Courage-PD consortium (23 studies; 9823 patients and 8376 controls of European ancestry). RESULTS Based on a dominant model, there was an association between genetic predisposition toward higher dairy intake and PD (odds ratio [OR] per one serving per day = 1.70, 95% confidence interval = 1.12-2.60, P = 0.013) that was restricted to men (OR = 2.50 [1.37-4.56], P = 0.003; P-difference with women = 0.029). CONCLUSIONS Using MR, our findings provide further support for a causal relationship between dairy intake and higher PD risk, not biased by confounding or reverse causation. Further studies are needed to elucidate the underlying mechanisms. © 2022 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Cloé Domenighetti
- UVSQ, Univ. Paris-Sud, Inserm, Team "Exposome, Heredity, Cancer and Health," CESP, Université Paris-Saclay, Villejuif, France
| | - Pierre-Emmanuel Sugier
- UVSQ, Univ. Paris-Sud, Inserm, Team "Exposome, Heredity, Cancer and Health," CESP, Université Paris-Saclay, Villejuif, France
| | - Ashwin Ashok Kumar Sreelatha
- Centre for Genetic Epidemiology, Institute for Clinical Epidemiology and Applied Biometry, University of Tubingen, Tubingen, Germany
| | - Claudia Schulte
- Department for Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tubingen, Tubingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tubingen, Germany
| | - Sandeep Grover
- Centre for Genetic Epidemiology, Institute for Clinical Epidemiology and Applied Biometry, University of Tubingen, Tubingen, Germany
| | - Océane Mohamed
- UVSQ, Univ. Paris-Sud, Inserm, Team "Exposome, Heredity, Cancer and Health," CESP, Université Paris-Saclay, Villejuif, France
| | - Berta Portugal
- UVSQ, Univ. Paris-Sud, Inserm, Team "Exposome, Heredity, Cancer and Health," CESP, Université Paris-Saclay, Villejuif, France
| | - Patrick May
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-Belval, Luxembourg
| | - Dheeraj R Bobbili
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-Belval, Luxembourg
| | | | - Peter Lichtner
- Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Andrew B Singleton
- Molecular Genetics Section, Laboratory of Neurogenetics, NIA, NIH, Bethesda, Maryland, USA.,Center For Alzheimer's and Related Dementias, NIA, NIH, Bethesda, Maryland, USA
| | - Dena G Hernandez
- Molecular Genetics Section, Laboratory of Neurogenetics, NIA, NIH, Bethesda, Maryland, USA
| | - Connor Edsall
- Molecular Genetics Section, Laboratory of Neurogenetics, NIA, NIH, Bethesda, Maryland, USA
| | - George D Mellick
- Griffith Institute for Drug Discovery, Griffith University, Nathan, Queensland, Australia
| | | | - Walter Pirker
- Department of Neurology, Wilhelminenspital, Wien, Austria
| | - Ekaterina Rogaeva
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Anthony E Lang
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada.,Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHN, Toronto, Ontario, Canada.,Division of Neurology, University of Toronto, Toronto, Ontario, Canada.,Krembil Brain Institute, Toronto, Ontario, Canada
| | - Sulev Koks
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Murdoch, Australia.,Perron Institute for Neurological and Translational Science, Nedlands, Western Australia, Australia
| | - Pille Taba
- Department of Neurology and Neurosurgery, University of Tartu, Tartu, Estonia.,Neurology Clinic, Tartu University Hospital, Tartu, Estonia
| | - Suzanne Lesage
- Department of Neurologie, Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, INSERM, CNRS, Assistance Publique Hôpitaux de Paris, Paris, France
| | - Alexis Brice
- Department of Neurologie, Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, INSERM, CNRS, Assistance Publique Hôpitaux de Paris, Paris, France
| | - Jean-Christophe Corvol
- Department of Neurologie, Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, INSERM, CNRS, Assistance Publique Hôpitaux de Paris, Paris, France.,Department of Neurology, CIC Neurosciences, Assistance Publique Hôpitaux de Paris, Paris, France
| | | | - Eugénie Mutez
- University Lille, Inserm, CHU Lille, UMR-S 1172-LilNCog-Centre de Recherche Lille Neurosciences & Cognition, Lille, France
| | - Kathrin Brockmann
- Department for Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tubingen, Tubingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tubingen, Germany
| | - Angela B Deutschländer
- Department of Neurology, Ludwig Maximilians University of Munich, München, Germany.,Department of Neurology, Max Planck Institute of Psychiatry, Munich, Germany.,Department of Neurology and Department of Clinical Genomics, Mayo Clinic Florida, Jacksonville, Florida, USA
| | - Georges M Hadjigeorgiou
- Department of Neurology, Laboratory of Neurogenetics, University of Thessaly, University Hospital of Larissa, Larissa, Greece.,Department of Neurology, Medical School, University of Cyprus, Nicosia, Cyprus
| | - Efthimos Dardiotis
- Department of Neurology, Laboratory of Neurogenetics, University of Thessaly, University Hospital of Larissa, Larissa, Greece
| | - Leonidas Stefanis
- First Department of Neurology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Center of Clinical Research, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Athina Maria Simitsi
- First Department of Neurology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Enza Maria Valente
- Department of Molecular Medicine, University of Pavia, Pavia, Italy.,Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Mondino Foundation, Pavia, Italy
| | - Simona Petrucci
- UOC Medical Genetics and Advanced Cell Diagnostics, S. Andrea University Hospital, Rome, Italy.,Department of Clinical and Molecular Medicine, University of Rome, Rome, Italy
| | - Stefano Duga
- Department of Biomedical Sciences, Humanitas University, Milan, Italy.,Humanitas Clinical and Research Center, IRCCS, Milan, Italy
| | - Letizia Straniero
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Anna Zecchinelli
- Parkinson Institute, Azienda Socio Sanitaria Territoriale (ASST) Gaetano Pini/CTO, Milan, Italy
| | | | - Laura Brighina
- Department of Neurology, San Gerardo Hospital, Monza, Italy.,Department of Medicine and Surgery and Milan Center for Neuroscience, University of Milano Bicocca, Milan, Italy
| | - Carlo Ferrarese
- Department of Neurology, San Gerardo Hospital, Monza, Italy.,Department of Medicine and Surgery and Milan Center for Neuroscience, University of Milano Bicocca, Milan, Italy
| | - Grazia Annesi
- Institute for Biomedical Research and Innovation, National Research Council, Cosenza, Italy
| | - Andrea Quattrone
- Institute of Neurology, Magna Graecia University, Catanzaro, Italy
| | - Monica Gagliardi
- Institute of Molecular Bioimaging and Physiology National Research Council, Catanzaro, Italy
| | - Hirotaka Matsuo
- Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, Saitama, Japan
| | - Yusuke Kawamura
- Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, Saitama, Japan
| | - Nobutaka Hattori
- Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan
| | - Kenya Nishioka
- Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan
| | - Sun Ju Chung
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Yun Joong Kim
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Pierre Kolber
- Neurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg
| | - Bart P C van de Warrenburg
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Nijmegen, The Netherlands
| | - Bastiaan R Bloem
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Nijmegen, The Netherlands
| | - Jan Aasly
- Department of Neurology, St Olav's Hospital and Norwegian University of Science and Technology, Trondheim, Norway
| | - Mathias Toft
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Lasse Pihlstrøm
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Leonor Correia Guedes
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.,Department of Neurosciences and Mental Health, Neurology, Hospital de Santa Maria, Centro Hospitalar Universitario Lisboa Norte (CHULN), Lisbon, Portugal
| | - Joaquim J Ferreira
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.,Laboratory of Clinical Pharmacology and Therapeutics, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Soraya Bardien
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
| | - Jonathan Carr
- Division of Neurology, Department of Medicine, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
| | - Eduardo Tolosa
- Parkinson's Disease and Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED: CB06/05/0018-ISCIII), Barcelona, Spain
| | - Mario Ezquerra
- Lab of Parkinson Disease and Other Neurodegenerative Movement Disorders, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain
| | - Pau Pastor
- Fundació per la Recerca Biomèdica i Social Mútua Terrassa, Barcelona, Spain.,Movement Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Barcelona, Spain
| | - Monica Diez-Fairen
- Fundació per la Recerca Biomèdica i Social Mútua Terrassa, Barcelona, Spain.,Movement Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Barcelona, Spain
| | - Karin Wirdefeldt
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Caroline Ran
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Andrea C Belin
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Andreas Puschmann
- Department of Clinical Sciences Lund, Neurology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Clara Hellberg
- Department of Clinical Sciences Lund, Neurology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Carl E Clarke
- University of Birmingham and Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, United Kingdom
| | - Karen E Morrison
- Faculty of Medicine, Health and Life Sciences, Queens University, Belfast, United Kingdom
| | - Manuela Tan
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Dimitri Krainc
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Lena F Burbulla
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.,Metabolic Biochemistry, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Matt J Farrer
- Department of Neurology, McKnight Brain Institute, University of Florida, Gainesville, Florida, USA
| | - Rejko Krüger
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-Belval, Luxembourg.,Neurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg.,Parkinson's Research Clinic, Centre Hospitalier de Luxembourg, Strassen, Luxembourg.,Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Thomas Gasser
- Department for Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tubingen, Tubingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tubingen, Germany
| | - Manu Sharma
- Centre for Genetic Epidemiology, Institute for Clinical Epidemiology and Applied Biometry, University of Tubingen, Tubingen, Germany
| | - Alexis Elbaz
- UVSQ, Univ. Paris-Sud, Inserm, Team "Exposome, Heredity, Cancer and Health," CESP, Université Paris-Saclay, Villejuif, France
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8
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Hohoff E, Perrar I, Jankovic N, Alexy U. Dairy intake and long-term body weight status in German children and adolescents: results from the DONALD study. Eur J Nutr 2021; 61:1087-1096. [PMID: 34718860 PMCID: PMC8854286 DOI: 10.1007/s00394-021-02715-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 10/18/2021] [Indexed: 11/30/2022]
Abstract
Purpose To analyse the association between intake of total dairy (TD) and types of dairy [liquid dairy (LD), solid dairy (SD), low-fat dairy (LFD), high-fat dairy (HFD), high sugar dairy (HSD), low-sugar dairy (LSD), not fermented dairy (NFD), as well as fermented dairy (FD)] and long-term changes in body weight status and composition among children and adolescents in Germany. Methods In total, 9999 3-day dietary records collected between 1985 and 2019 by 1126 participants (3.5–18.5 years; boys: 50.8%) of the Dortmund Nutritional and Anthropometric Longitudinally Designed (DONALD) study were analysed. Polynomial mixed-effects regression models were used to examine whether changes (median follow-up: 9 years) in the intake of TD and dairy types (in 100 g/1000 kcal total energy intake) were associated with changes in body-mass-index-standard-deviation-score (BMI-SDS); fat mass index (FMI); fat-free mass index (FFMI) over time. Results An individual increase in TD intake was slightly but significantly associated with an increase in BMI-SDS (β = 0.0092; p = 0.0371), FMI (β = 0.022; p = 0.0162), and FFMI (β = 0.0156; p = 0.0417) after adjustment for potential confounder. Analyses for LD (BMI-SDS: β = 0.0139; p = 0.0052; FMI: β = 0.0258; p = 0.0125; FFMI: β = 0.0239; p = 0.0052) and LSD intake (BMI-SDS: β = 0.0132; p = 0.0041, FMI: β = 0.02; p = 0.0316, FFMI: β = 0.0183; p = 0.0189) showed similar results to TD. Both processing method and fat content showed no association with body composition in our analyses. Conclusion Increases in TD, LD, and LSD intake showed small but significant increases in BMI and concomitant increases in fat mass and lean mass. However, the observed changes were too small to expect biological or physiological meaningful effects. Overall, our results showed that policies to promote dairy intake in childhood are to be welcomed, as no negative effects on body composition are expected, while the intake of important nutrients for growth is ensured. The type of dairy does not seem to matter. Supplementary Information The online version contains supplementary material available at 10.1007/s00394-021-02715-9.
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Affiliation(s)
- Eva Hohoff
- Institute of Nutritional and Food Sciences-Nutritional Epidemiology, University of Bonn, DONALD Study, Heinstück 11, 44225, Dortmund, Germany
| | - Ines Perrar
- Institute of Nutritional and Food Sciences-Nutritional Epidemiology, University of Bonn, DONALD Study, Heinstück 11, 44225, Dortmund, Germany
| | - Nicole Jankovic
- Institute of Nutritional and Food Sciences-Nutritional Epidemiology, University of Bonn, DONALD Study, Heinstück 11, 44225, Dortmund, Germany
| | - Ute Alexy
- Institute of Nutritional and Food Sciences-Nutritional Epidemiology, University of Bonn, DONALD Study, Heinstück 11, 44225, Dortmund, Germany.
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9
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Chiang KM, Pan WH. Causal link between milk consumption and obesity? A 10-year longitudinal study and a Mendelian randomization study. Food Nutr Res 2021. [DOI: 10.29219/fnr.v65.6300] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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10
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Zhang X, Chen X, Xu Y, Yang J, Du L, Li K, Zhou Y. Milk consumption and multiple health outcomes: umbrella review of systematic reviews and meta-analyses in humans. Nutr Metab (Lond) 2021; 18:7. [PMID: 33413488 PMCID: PMC7789627 DOI: 10.1186/s12986-020-00527-y] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 11/24/2020] [Indexed: 02/06/2023] Open
Abstract
In order to recapitulate the best available evidence of milk consumption and multiple health-related outcomes, we performed an umbrella review of meta-analyses and systematic reviews in humans. Totally, 41 meta-analyses with 45 unique health outcomes were included. Milk consumption was more often related to benefits than harm to a sequence of health-related outcomes. Dose–response analyses indicated that an increment of 200 ml (approximately 1 cup) milk intake per day was associated with a lower risk of cardiovascular disease, stroke, hypertension, colorectal cancer, metabolic syndrome, obesity and osteoporosis. Beneficial associations were also found for type 2 diabetes mellitus and Alzheimer's disease. Conversely, milk intake might be associated with higher risk of prostate cancer, Parkinson’s disease, acne and Fe-deficiency anaemia in infancy. Potential allergy or lactose intolerance need for caution. Milk consumption does more good than harm for human health in this umbrella review. Our results support milk consumption as part of a healthy diet. More well-designed randomized controlled trials are warranted.
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Affiliation(s)
- Xingxia Zhang
- West China School of Nursing/West China Hospital, Sichuan University, 37 Guo Xue Rd, Chengdu, 610041, China.,Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, 37 Guo Xue Rd, Chengdu, 610041, Sichuan Province, China
| | - Xinrong Chen
- West China School of Nursing/West China Hospital, Sichuan University, 37 Guo Xue Rd, Chengdu, 610041, China.,Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, 37 Guo Xue Rd, Chengdu, 610041, Sichuan Province, China
| | - Yujie Xu
- Department of Public Health, School of Public Health, Sichuan University, Chengdu, 610041, China
| | - Jie Yang
- Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, 37 Guo Xue Rd, Chengdu, 610041, Sichuan Province, China
| | - Liang Du
- Chinese Evidence-Based Medicine/Cochrane Center, Chengdu, 610041, China
| | - Ka Li
- West China School of Nursing/West China Hospital, Sichuan University, 37 Guo Xue Rd, Chengdu, 610041, China. .,Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, 37 Guo Xue Rd, Chengdu, 610041, Sichuan Province, China.
| | - Yong Zhou
- Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, 37 Guo Xue Rd, Chengdu, 610041, Sichuan Province, China.
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11
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Evidence for a causal association between milk intake and cardiometabolic disease outcomes using a two-sample Mendelian Randomization analysis in up to 1,904,220 individuals. Int J Obes (Lond) 2021; 45:1751-1762. [PMID: 34024907 PMCID: PMC8310799 DOI: 10.1038/s41366-021-00841-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 04/08/2021] [Accepted: 04/26/2021] [Indexed: 02/04/2023]
Abstract
BACKGROUND High milk intake has been associated with cardio-metabolic risk. We conducted a Mendelian Randomization (MR) study to obtain evidence for the causal relationship between milk consumption and cardio-metabolic traits using the lactase persistence (LCT-13910 C > T, rs4988235) variant as an instrumental variable. METHODS We tested the association of LCT genotype with milk consumption (for validation) and with cardio-metabolic traits (for a possible causal association) in a meta-analysis of the data from three large-scale population-based studies (1958 British Birth Cohort, Health and Retirement study, and UK Biobank) with up to 417,236 participants and using summary statistics from consortia meta-analyses on intermediate traits (N = 123,665-697,307) and extended to cover disease endpoints (N = 86,995-149,821). RESULTS In the UK Biobank, carriers of 'T' allele of LCT variant were more likely to consume milk (P = 7.02 × 10-14). In meta-analysis including UK Biobank, the 1958BC, the HRS, and consortia-based studies, under an additive model, 'T' allele was associated with higher body mass index (BMI) (Pmeta-analysis = 4.68 × 10-12) and lower total cholesterol (TC) (P = 2.40 × 10-36), low-density lipoprotein cholesterol (LDL-C) (P = 2.08 × 10-26) and high-density lipoprotein cholesterol (HDL-C) (P = 9.40 × 10-13). In consortia meta-analyses, 'T' allele was associated with a lower risk of coronary artery disease (OR:0.86, 95% CI:0.75-0.99) but not with type 2 diabetes (OR:1.06, 95% CI:0.97-1.16). Furthermore, the two-sample MR analysis showed a causal association between genetically instrumented milk intake and higher BMI (P = 3.60 × 10-5) and body fat (total body fat, leg fat, arm fat and trunk fat; P < 1.37 × 10-6) and lower LDL-C (P = 3.60 × 10-6), TC (P = 1.90 × 10-6) and HDL-C (P = 3.00 × 10-5). CONCLUSIONS Our large-scale MR study provides genetic evidence for the association of milk consumption with higher BMI but lower serum cholesterol levels. These data suggest no need to limit milk intakes with respect to cardiovascular disease risk, with the suggested benefits requiring confirmation in further studies.
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Larsson SC, Mason AM, Kar S, Vithayathil M, Carter P, Baron JA, Michaëlsson K, Burgess S. Genetically proxied milk consumption and risk of colorectal, bladder, breast, and prostate cancer: a two-sample Mendelian randomization study. BMC Med 2020; 18:370. [PMID: 33261611 PMCID: PMC7709312 DOI: 10.1186/s12916-020-01839-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 11/03/2020] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Observational studies have shown that milk consumption is inversely associated with colorectal, bladder, and breast cancer risk, but positively associated with prostate cancer. However, whether the associations reflect causality remains debatable. We investigated the potential causal associations of milk consumption with the risk of colorectal, bladder, breast, and prostate cancer using a genetic variant near the LCT gene as proxy for milk consumption. METHODS We obtained genetic association estimates for cancer from the UK Biobank (n = 367,643 women and men), FinnGen consortium (n = 135,638 women and men), Breast Cancer Association Consortium (n = 228,951 women), and Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome consortium (n = 140,254 men). Milk consumption was proxied by a genetic variant (rs4988235 or rs182549) upstream of the gene encoding lactase, which catalyzes the breakdown of lactose. RESULTS Genetically proxied milk consumption was associated with a reduced risk of colorectal cancer. The odds ratio (OR) for each additional milk intake increasing allele was 0.95 (95% confidence interval [CI] 0.91-0.99; P = 0.009). There was no overall association of genetically predicted milk consumption with bladder (OR 0.99; 95% CI 0.94-1.05; P = 0.836), breast (OR 1.01; 95% CI 1.00-1.02; P = 0.113), and prostate cancer (OR 1.01; 95% CI 0.99-1.02; P = 0.389), but a positive association with prostate cancer was observed in the FinnGen consortium (OR 1.07; 95% CI 1.01-1.13; P = 0.026). CONCLUSIONS Our findings strengthen the evidence for a protective role of milk consumption on colorectal cancer risk. There was no or limited evidence that milk consumption affects the risk of bladder, breast, and prostate cancer.
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Affiliation(s)
- Susanna C Larsson
- Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, 17177, Stockholm, Sweden.
| | - Amy M Mason
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
| | - Siddhartha Kar
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Paul Carter
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - John A Baron
- Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Karl Michaëlsson
- Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Stephen Burgess
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
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Bonilla C, Novaes Baccarini L. Genetic Epidemiology in Latin America: Identifying Strong Genetic Proxies for Complex Disease Risk Factors. Genes (Basel) 2020; 11:E507. [PMID: 32375401 PMCID: PMC7288659 DOI: 10.3390/genes11050507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 04/24/2020] [Accepted: 04/28/2020] [Indexed: 11/16/2022] Open
Abstract
Epidemiology seeks to determine the causal effects of exposures on outcomes related to the health and wellbeing of populations. Observational studies, one of the most commonly used designs in epidemiology, can be biased due to confounding and reverse causation, which makes it difficult to establish causal relationships. In recent times, genetically informed methods, like Mendelian randomization (MR), have been developed in an attempt to overcome these disadvantages. MR relies on the association of genetic variants with outcomes of interest, where the genetic variants are proxies or instruments for modifiable exposures. Because genotypes are sorted independently and at random at the time of conception, they are less prone to confounding and reverse causation. Implementation of MR depends on, among other things, a strong association of the genetic variants with the exposure, which has usually been defined via genome-wide association studies (GWAS). Because GWAS have been most often carried out in European populations, the limited identification of strong instruments in other populations poses a major problem for the application of MR in Latin America. We suggest potential solutions that can be realized with the resources at hand and others that will have to wait for increased funding and access to technology.
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Affiliation(s)
- Carolina Bonilla
- Departamento de Medicina Preventiva, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246, Brazil
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Soedamah-Muthu SS, Guo J. Dairy consumption and cardiometabolic diseases: Evidence from prospective studies. MILK AND DAIRY FOODS 2020:1-28. [DOI: 10.1016/b978-0-12-815603-2.00001-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
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Cornelis MC. Genetic determinants of beverage consumption: Implications for nutrition and health. ADVANCES IN FOOD AND NUTRITION RESEARCH 2019; 89:1-52. [PMID: 31351524 PMCID: PMC7047661 DOI: 10.1016/bs.afnr.2019.03.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Beverages make important contributions to nutritional intake and their role in health has received much attention. This review focuses on the genetic determinants of common beverage consumption and how research in this field is contributing insight to what and how much we consume and why this genetic knowledge matters from a research and public health perspective. The earliest efforts in gene-beverage behavior mapping involved genetic linkage and candidate gene analysis but these approaches have been largely replaced by genome-wide association studies (GWAS). GWAS have identified biologically plausible loci underlying alcohol and coffee drinking behavior. No GWAS has identified variants specifically associated with consumption of tea, juice, soda, wine, beer, milk or any other common beverage. Thus far, GWAS highlight an important behavior-reward component (as opposed to taste) to beverage consumption which may serve as a potential barrier to dietary interventions. Loci identified have been used in Mendelian randomization and gene×beverage interaction analysis of disease but results have been mixed. This research is necessary as it informs the clinical relevance of SNP-beverage associations and thus genotype-based personalized nutrition, which is gaining interest in the commercial and public health sectors.
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Affiliation(s)
- Marilyn C Cornelis
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
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Montalva N, Adhikari K, Liebert A, Mendoza-Revilla J, Flores SV, Mace R, Swallow DM. Adaptation to milking agropastoralism in Chilean goat herders and nutritional benefit of lactase persistence. Ann Hum Genet 2019; 83:11-22. [PMID: 30264486 PMCID: PMC6393766 DOI: 10.1111/ahg.12277] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Revised: 07/05/2018] [Accepted: 07/06/2018] [Indexed: 12/31/2022]
Abstract
The genetic trait of lactase persistence (LP) evolved as an adaptation to milking pastoralism in the Old World and is a well-known example of positive natural selection in humans. However, the specific mechanisms conferring this selective advantage are unknown. To understand the relationship between milk drinking, LP, growth, reproduction, and survival, communities of the Coquimbo Region in Chile, with recent adoption of milking agropastoralism, were used as a model population. DNA samples and data on stature, reproduction, and diet were collected from 451 participants. Lactose tolerance tests were done on 41 of them. The European -13,910*T (rs4988235) was the only LP causative variant found, showing strong association (99.6%) with LP phenotype. Models of associations of inferred LP status and milk consumption, with fertility, mortality, height, and weight were adjusted with measures of ancestry and relatedness to control for population structure. Although we found no statistically significant effect of LP on fertility, a significant effect (P = 0.002) was observed of LP on body mass index (BMI) in males and of BMI on fertility (P = 0.003). These results fail to support a causal relationship between LP and fertility yet suggest the idea of a nutritional advantage of LP. Furthermore, the proportion of European ancestry around the genetic region of -13,910*T is significantly higher (P = 0.008) than the proportion of European ancestry genome-wide, providing evidence of recent positive selection since European-Amerindian admixture. This signature was absent in nonpastoralist Latin American populations, supporting the hypothesis of specific adaptation to milking agropastoralism in the Coquimbo communities.
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Affiliation(s)
- Nicolás Montalva
- Research Department of Genetics, Evolution and Environment, University College London, Darwin Building, Gower Street, London, WC1E 6BT, United Kingdom
- Department of Anthropology, Human Evolutionary Ecology Group, University College London, 14 Taviton St, London, WC1H 0BW, United Kingdom
- Departamento de Antropología, Facultad de Ciencias Sociales y Jurídicas, Universidad de Tarapacá, 384 Calle Cardenal Caro, Arica, Chile
| | - Kaustubh Adhikari
- Research Department of Genetics, Evolution and Environment, University College London, Darwin Building, Gower Street, London, WC1E 6BT, United Kingdom
- Department of Cell & Developmental Biology, University College London, Anatomy Building, Gower Street, London, WC1E 6BT, United Kingdom
| | - Anke Liebert
- Research Department of Genetics, Evolution and Environment, University College London, Darwin Building, Gower Street, London, WC1E 6BT, United Kingdom
| | - Javier Mendoza-Revilla
- Research Department of Genetics, Evolution and Environment, University College London, Darwin Building, Gower Street, London, WC1E 6BT, United Kingdom
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 430 Honorario Delgado, Lima 31, Perú
| | - Sergio V Flores
- Departamento de Antropología, Facultad de Ciencias Sociales, Universidad de Chile, 1045 Av. Capitan Ignacio Carrera Pinto, Nunoa, 7800284, Chile
| | - Ruth Mace
- Department of Anthropology, Human Evolutionary Ecology Group, University College London, 14 Taviton St, London, WC1H 0BW, United Kingdom
| | - Dallas M Swallow
- Research Department of Genetics, Evolution and Environment, University College London, Darwin Building, Gower Street, London, WC1E 6BT, United Kingdom
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Szilagyi A, Ishayek N. Lactose Intolerance, Dairy Avoidance, and Treatment Options. Nutrients 2018; 10:nu10121994. [PMID: 30558337 PMCID: PMC6316316 DOI: 10.3390/nu10121994] [Citation(s) in RCA: 81] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 12/11/2018] [Accepted: 12/12/2018] [Indexed: 12/12/2022] Open
Abstract
Lactose intolerance refers to symptoms related to the consumption of lactose-containing dairy foods, which are the most common source for this disaccharide. While four causes are described, the most common is the genetically-determined adult onset lactose maldigestion due to loss of intestinal lactase governed by control of the gene by a 14,000 kb promoter region on chromosome 2. Gastrointestinal symptoms from lactose have expanded to include systemic effects and have also been confounded by other food intolerances or functional gastrointestinal disorders. Partly because lactose maldigestion is often interpreted as lactose intolerance (symptoms), focus of therapy for these symptoms starts with lactose restriction. However, withholding of dairy foods completely is not appropriate due to a more favorable impact on health. Industrial efforts to substitute with plant-based products is not completely successful at this time. This narrative article reviews the complexities of the perception of lactose intolerance, its epidemiology, and pathogenesis. Treatments are discussed, including the inappropriateness of dairy avoidance. In conjunction, effects of dairy products on 19 common diseases are reviewed. Different methods of treatment, lactose-reduced products, plant-based dairy substitutes, adaptation, prebiotics, exogenous lactase, probiotics, and some other dietary interventions are further discussed.
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Affiliation(s)
- Andrew Szilagyi
- Department of Medicine, Division of Gastroenterology, Jewish General Hospital, McGill University School of Medicine, 3755 Cote St Catherine Rd, Room E110, Montreal, QC H3T 1E2, Canada.
| | - Norma Ishayek
- Department of Medicine, Division of Gastroenterology, Jewish General Hospital, McGill University School of Medicine, 3755 Cote St Catherine Rd, Room E110, Montreal, QC H3T 1E2, Canada.
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Wiley AS. The Evolution of Lactase Persistence: Milk Consumption, Insulin-Like Growth Factor I, and Human Life-History Parameters. QUARTERLY REVIEW OF BIOLOGY 2018. [DOI: 10.1086/700768] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Soedamah-Muthu SS, de Goede J. Dairy Consumption and Cardiometabolic Diseases: Systematic Review and Updated Meta-Analyses of Prospective Cohort Studies. Curr Nutr Rep 2018; 7:171-182. [PMID: 30406514 PMCID: PMC6244750 DOI: 10.1007/s13668-018-0253-y] [Citation(s) in RCA: 94] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW Dairy products contain both beneficial and harmful nutrients in relation to cardiometabolic diseases. Here, we provide the latest scientific evidence regarding the relationship between dairy products and cardiometabolic diseases by reviewing the literature and updating meta-analyses of observational studies. RECENT FINDINGS We updated our previous meta-analyses of cohort studies on type 2 diabetes, coronary heart disease (CHD), and stroke with nine studies and confirmed previous results. Total dairy and low-fat dairy (per 200 g/d) were inversely associated with a 3-4% lower risk of diabetes. Yogurt was non-linearly inversely associated with diabetes (RR = 0.86, 95% CI: 0.83-0.90 at 80 g/d). Total dairy and milk were not associated with CHD (RR~1.0). An increment of 200 g of daily milk intake was associated with an 8% lower risk of stroke. The latest scientific evidence confirmed neutral or beneficial associations between dairy products and risk of cardiometabolic diseases.
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Affiliation(s)
- Sabita S Soedamah-Muthu
- Center of Research on Psychology in Somatic Diseases (CORPS), Department of Medical and Clinical Psychology, Tilburg University, PO Box 90153, 5000 LE, Tilburg, The Netherlands.
- Institute for Food, Nutrition and Health, University of Reading, Reading, RG6 6AR, UK.
| | - Janette de Goede
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
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Johansson I, Nilsson LM, Esberg A, Jansson JH, Winkvist A. Dairy intake revisited - associations between dairy intake and lifestyle related cardio-metabolic risk factors in a high milk consuming population. Nutr J 2018; 17:110. [PMID: 30466440 PMCID: PMC6251194 DOI: 10.1186/s12937-018-0418-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Accepted: 11/07/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The association between milk and dairy intake and the incidence of cardiometabolic diseases, cancer and mortality has been evaluated in many studies, but these studies have had conflicting results with no clear conclusion on causal or confounding associations. The present study aims to further address this association by cross-sectional and longitudinal evaluation of the associations between exposure to various types of dairy products and metabolic risk markers among inhabitants in northern Sweden while taking other lifestyle factors into account. METHODS Respondents in the Västerbotten Intervention Programme with complete and plausible diet data between 1991 and 2016 were included, yielding 124,934 observations from 90,512 unique subjects. For longitudinal analysis, 27,682 participants with a visit 8-12 years after the first visit were identified. All participants completed a validated Food Frequency Questionnaire. Metabolic risk markers, including body mass index (BMI), blood pressure, serum (S) cholesterol and triglycerides, and blood glucose, were measured. Participants were categorized into quintiles by intake of dairy products, and risk (odds ratios, OR) of undesirable levels of metabolic risk markers was assessed in multivariable logistic regression analyses. In longitudinal analyses, intake quintiles were related to desirable levels of metabolic risk markers at both visits or deterioration at follow-up using Cox regression analyses. RESULTS The OR of being classified with an undesirable BMI decreased with increasing quintiles of total dairy, cheese and butter intake but increased with increasing non-fermented milk intake. The OR of being classified with an undesirable S-cholesterol level increased with increasing intake of total dairy, butter and high fat (3%) non-fermented milk, whereas an undesirable S-triglyceride level was inversely associated with cheese and butter intake in women. In longitudinal analyses, increasing butter intake was associated with deterioration of S-cholesterol and blood glucose levels, whereas increasing cheese intake was associated with a lower risk of deterioration of S-triglycerides. CONCLUSIONS Confounding factors likely contribute to the demonstrated association between dairy intake and mortality, and other medical conditions and analyses should be stratified by dairy type.
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Affiliation(s)
- Ingegerd Johansson
- Department of Nutritional Research, Umeå University, Umeå, Sweden. .,Department of Odontology, Umeå University, Umeå, Sweden.
| | | | - Anders Esberg
- Department of Odontology, Umeå University, Umeå, Sweden
| | - Jan-Håkan Jansson
- Department of Public Health and Clinical Medicine, Research Unit Skellefteå, Umeå University, Umeå, Sweden
| | - Anna Winkvist
- Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Marangoni F, Pellegrino L, Verduci E, Ghiselli A, Bernabei R, Calvani R, Cetin I, Giampietro M, Perticone F, Piretta L, Giacco R, La Vecchia C, Brandi ML, Ballardini D, Banderali G, Bellentani S, Canzone G, Cricelli C, Faggiano P, Ferrara N, Flachi E, Gonnelli S, Macca C, Magni P, Marelli G, Marrocco W, Miniello VL, Origo C, Pietrantonio F, Silvestri P, Stella R, Strazzullo P, Troiano E, Poli A. Cow's Milk Consumption and Health: A Health Professional's Guide. J Am Coll Nutr 2018; 38:197-208. [PMID: 30247998 DOI: 10.1080/07315724.2018.1491016] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The most recent scientific evidence supports the consumption of cow's milk and dairy products as part of a balanced diet. However, these days, the public and practicing physicans are exposed to a stream of inconsistent (and often misleading) information regarding the relationship between cow's milk intake and health in the lay press and in the media. The purpose of this article, in this context, is to facilitate doctor-patient communication on this topic, providing physicians with a series of structured answers to frequently asked patient questions. The answers range from milk and milk-derived products' nutritional function across the life span, to their relationship with diseases such as osteoporosis and cancer, to lactose intolerance and milk allergy, and have been prepared by a panel of experts from the Italian medical and nutritional scientific community. When consumed according to appropriate national guidelines, milk and its derivatives contribute essential micro- and macronutrients to the diet, especially in infancy and childhood where bone mass growth is in a critical phase. Furthermore, preliminary evidence suggests potentially protective effects of milk against overweight, obesity, diabetes, and cardiovascular disease, while no clear data suggest a significant association between milk intake and cancer. Overall, current scientific literature suggests that an appropriate consumption of milk and its derivatives, according to available nutritional guidelines, may be beneficial across all age groups, with the exception of specific medical conditions such as lactose intolerance or milk protein allergy. Key teaching points: Milk and its derivatives contribute essential micro and macronutrients to the diet, when consumed according to appropriate national guidelines, especially in infancy and childhood where bone mass growth is in a critical phase. Preliminary evidence suggests potentially protective effects of milk against overweight, obesity, diabetes and cardiovascular disease No clear data are available about the association between milk intake and cancer. Current scientific literature suggests that an appropriate consumption of milk and its derivatives may be beneficial at all ages, with the exception of specific medical conditions such as lactose intolerance or milk protein allergy.
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Affiliation(s)
| | - Luisa Pellegrino
- b Department of Food, Environmental and Nutritional Sciences , Università degli Studi di Milano , Milano , Italy
| | - Elvira Verduci
- c Department of Health Sciences, San Paolo Hospital , ASST Santi Paolo e Carlo, Università degli Studi di Milano and SIP-Italian Society of Pediatrics , Milano , Italy
| | - Andrea Ghiselli
- d CREA-Alimenti e Nutrizione, Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria, Roma and SISA-Italian Society of Nutritional Science , Roma , Italy
| | - Roberto Bernabei
- e Institute of Internal Medicine and Geriatrics- Catholic University of the Sacred Heart , Roma , Italy
| | - Riccardo Calvani
- e Institute of Internal Medicine and Geriatrics- Catholic University of the Sacred Heart , Roma , Italy
| | - Irene Cetin
- f Department of Biomedical and Clinical Sciences , Unit of Obstetrics and Gynecology, Hospital Vittore Buzzi , Milano , Italy
| | | | - Francesco Perticone
- h Unit of Obstetrics and Gynecology, Hospital Vittore Buzzi , Università degli Studi "Magna Graecia", Catanzaro and SIMI-Italian Society of Internal Medicine , Catanzaro , Italy
| | - Luca Piretta
- i Alimentary Science and Human Nutrition, Università Campus Biomedico , Roma , Italy
| | - Rosalba Giacco
- j Institute of Food Science, National Research Council, Avellino and SID - Italian Diabetes Society , Avellino , Italy
| | - Carlo La Vecchia
- k Department of Clinical Sciences and Community Health , Università degli Studi di Milano , Milano , Italy
| | | | | | - Giuseppe Banderali
- n Department of Health Sciences, San Paolo Hospital , ASST Santi Paolo e Carlo, Università degli Studi di Milano and SINUPE-Italian Society of Pediatric Nutrition , Milano , Italy
| | - Stefano Bellentani
- o SIGE-Italian Society of Gastroenterology and Digestive Endoscopy , Modena , Italy
| | - Giuseppe Canzone
- p Obstetrics and Gynecology Unit , San Cimino Hospital, Termini Imerese and SIGO-Italian Society of Gynecology and Obstetrics , Termini Imerese , Italy
| | | | - Pompilio Faggiano
- r Cardiology Division , Spedali Civili and University of Brescia and GICR-Italian Association for Cardiovascular Prevention and Rehabilitation , Brescia , Italy
| | - Nicola Ferrara
- s Department of Translational Medical Sciences , University of Naples 'Federico II' and SIGG-Italian Society of Gerontology and Geriatrics , Naples , Italy
| | - Evelina Flachi
- t SIPREC-Italian Society for Cardiovascular Prevention , Milan , Italy
| | - Stefano Gonnelli
- u Department of Medicine, Surgery and Neuroscience , University of Siena and SIOMMS-Italian Society for Osteoporosis, Mineral Metabolism and Bone Diseases , Siena , Italy
| | - Claudio Macca
- v Dietetics and Clinical Nutrition Unit , Spedali Civili Brescia and ADI - Italian Association of Dietetics , Brescia , Italy
| | - Paolo Magni
- w Department of Pharmacological and Biomolecular Sciences , Università degli Studi di Milano and SISA-Italian Society for the Study of Atherosclerosis , Milano , Italy
| | - Giuseppe Marelli
- x Department of Diabetology Endocrinology and Clinical Nutrition , ASST di Vimercate and AMD - Italian Association of Diabetologists , Vimercate , Italy
| | - Walter Marrocco
- y FIMMG-Italian Federation of General Medicine Doctors and SIMPeSV-Italian Society of Preventive and Lifestyle Medicine , Rome , Italy
| | - Vito Leonardo Miniello
- z Department of Paediatrics , University of Bari and SIPPS-Italian Society of Preventive and Social Pediatrics , Bari , Italy
| | - Carlo Origo
- aa Department of Pediatric Orthoaedics , A.O. SS Antonio e Biagio e Cesare Arrigo, Alessandria and SITOP-Italian Society of Orthopaedics and Traumatology , Alessandria , Italy
| | - Filomena Pietrantonio
- ab Internal Medicine Unit , - H2-Albano Hospital Center, ASL Roma 6, Roma and FADOI-Federation of the Associations of Internist Hospital Managers , Manerbio , Italy
| | - Paolo Silvestri
- ac Interventional Cardiology-CCU Department , G. Rummo Hospital, Benevento and ANMCO-Italian National Association of Hospital Cardiologists , Benevento , Italy
| | - Roberto Stella
- ad SNaMID-National Interdisciplinary Medical Society Primary Care , Milan , Italy
| | - Pasquale Strazzullo
- ae Department of Clinical Medicine and Surgery , ESH Excellence Center of Hypertension, "Federico II" University of Naples and SINU-Italian Society of Human Nutrition , Napoli , Italy
| | | | - Andrea Poli
- a NFI-Nutrition Foundation of Italy , Milano , Italy
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Heianza Y, Sun D, Ma W, Zheng Y, Champagne CM, Bray GA, Sacks FM, Qi L. Gut-microbiome-related LCT genotype and 2-year changes in body composition and fat distribution: the POUNDS Lost Trial. Int J Obes (Lond) 2018; 42:1565-1573. [PMID: 29568104 PMCID: PMC6109621 DOI: 10.1038/s41366-018-0046-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Revised: 11/05/2017] [Accepted: 11/19/2017] [Indexed: 01/09/2023]
Abstract
BACKGROUND/OBJECTIVES Gut microbiome regulates host energy metabolism and adiposity. A recent study identified a genome-wide significant variant in the lactase (LCT) gene that determines gut-microbiome abundance. We investigated whether the LCT variant influenced long-term changes in adiposity among overweight and obese individuals. SUBJECTS/METHODS We included 583 whites with LCT variant rs4988235 (G allele as Bifidobacterium-abundance-increasing allele) who were randomly assigned to one of four weight-loss diets varying in macronutrient contents. Two-year changes in adiposity measures were assessed according to the LCT genotype and weight-loss diets. RESULTS We observed a significant interaction between the LCT genotype and dietary protein intake on changes in whole body total fat mass %, trunk fat %, superficial adipose tissue mass (SAT), visceral adipose tissue mass (VAT), and total adipose tissue mass (TAT) (Pinteraction < 0.05 for all). In response to high-protein diet, carrying the G allele of LCT variant rs4988235 was associated with greater reduction of whole body total fat mass % (β [SE] -0.9 [0.43], P = 0.04), trunk fat % (-1.06 [0.58], P = 0.07), SAT (-0.89 [0.42], P = 0.04), VAT (-0.63 [0.27], P = 0.03), and TAT (-1.69 [0.76], P = 0.03). Conversely, increasing numbers of the G allele tended to be related to less reduction of these outcomes in response to low-protein diet. CONCLUSIONS Long-term improvement of body fat composition and distribution was significantly influenced by the Bifidobacterium-related LCT genotype and dietary protein intake. Overweight and obese individuals with the G allele of LCT variant rs4988235 may benefit improving adiposity by eating a low-calorie, high-protein diet.
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Affiliation(s)
- Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Dianjianyi Sun
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Wenjie Ma
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yan Zheng
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Catherine M Champagne
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - George A Bray
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - Frank M Sacks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Channing Laboratory, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
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23
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Response to 'Challenge in interpretation of Mendelian randomization studies using lactase persistence as instrumental variable'. Eur J Clin Nutr 2018; 72:181-182. [DOI: 10.1038/ejcn.2017.119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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24
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Hartwig FP, Davey Smith G. Lactase Persistence and Body Mass Index: The Contribution of Mendelian Randomization. Clin Chem 2017; 64:4-6. [PMID: 29187354 DOI: 10.1373/clinchem.2017.282673] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Accepted: 11/08/2017] [Indexed: 12/24/2022]
Affiliation(s)
- Fernando Pires Hartwig
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.,MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; .,Population Health Sciences, University of Bristol, Bristol, UK
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25
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Dairy Consumption and Body Mass Index Among Adults: Mendelian Randomization Analysis of 184802 Individuals from 25 Studies. Clin Chem 2017; 64:183-191. [PMID: 29187356 DOI: 10.1373/clinchem.2017.280701] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2017] [Accepted: 10/10/2017] [Indexed: 11/06/2022]
Abstract
BACKGROUND Associations between dairy intake and body mass index (BMI) have been inconsistently observed in epidemiological studies, and the causal relationship remains ill defined. METHODS We performed Mendelian randomization (MR) analysis using an established dairy intake-associated genetic polymorphism located upstream of the lactase gene (LCT-13910 C/T, rs4988235) as an instrumental variable (IV). Linear regression models were fitted to analyze associations between (a) dairy intake and BMI, (b) rs4988235 and dairy intake, and (c) rs4988235 and BMI in each study. The causal effect of dairy intake on BMI was quantified by IV estimators among 184802 participants from 25 studies. RESULTS Higher dairy intake was associated with higher BMI (β = 0.03 kg/m2 per serving/day; 95% CI, 0.00-0.06; P = 0.04), whereas the LCT genotype with 1 or 2 T allele was significantly associated with 0.20 (95% CI, 0.14-0.25) serving/day higher dairy intake (P = 3.15 × 10-12) and 0.12 (95% CI, 0.06-0.17) kg/m2 higher BMI (P = 2.11 × 10-5). MR analysis showed that the genetically determined higher dairy intake was significantly associated with higher BMI (β = 0.60 kg/m2 per serving/day; 95% CI, 0.27-0.92; P = 3.0 × 10-4). CONCLUSIONS The present study provides strong evidence to support a causal effect of higher dairy intake on increased BMI among adults.
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26
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Gene-Dairy Food Interactions and Health Outcomes: A Review of Nutrigenetic Studies. Nutrients 2017; 9:nu9070710. [PMID: 28684688 PMCID: PMC5537825 DOI: 10.3390/nu9070710] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Revised: 06/10/2017] [Accepted: 07/03/2017] [Indexed: 12/23/2022] Open
Abstract
Each person differs from the next by an average of over 3 million genetic variations in their DNA. This genetic diversity is responsible for many of the interindividual differences in food preferences, nutritional needs, and dietary responses between humans. The field of nutrigenetics aims to utilize this type of genetic information in order to personalize diets for optimal health. One of the most well-studied genetic variants affecting human dietary patterns and health is the lactase persistence mutation, which enables an individual to digest milk sugar into adulthood. Lactase persistence is one of the most influential Mendelian factors affecting human dietary patterns to occur since the beginning of the Neolithic Revolution. However, the lactase persistence mutation is only one of many mutations that can influence the relationship between dairy intake and disease risk. The purpose of this review is to summarize the available nutrigenetic literature investigating the relationships between genetics, dairy intake, and health outcomes. Nonetheless, the understanding of an individual’s nutrigenetic responses is just one component of personalized nutrition. In addition to nutrigenetic responses, future studies should also take into account nutrigenomic responses (epigenomic, transcriptomic, proteomic, metabolomic), and phenotypic/characteristic traits (age, gender, activity level, disease status, etc.), as these factors all interact with diet to influence health.
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27
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Abstract
Obesity is a risk factor for a plethora of severe morbidities and premature death. Most supporting evidence comes from observational studies that are prone to chance, bias and confounding. Even data on the protective effects of weight loss from randomized controlled trials will be susceptible to confounding and bias if treatment assignment cannot be masked, which is usually the case with lifestyle and surgical interventions. Thus, whilst obesity is widely considered the major modifiable risk factor for many chronic diseases, its causes and consequences are often difficult to determine. Addressing this is important, as the prevention and treatment of any disease requires that interventions focus on causal risk factors. Disease prediction, although not dependent on knowing the causes, is nevertheless enhanced by such knowledge. Here, we provide an overview of some of the barriers to causal inference in obesity research and discuss analytical approaches, such as Mendelian randomization, that can help to overcome these obstacles. In a systematic review of the literature in this field, we found: (i) probable causal relationships between adiposity and bone health/disease, cancers (colorectal, lung and kidney cancers), cardiometabolic traits (blood pressure, fasting insulin, inflammatory markers and lipids), uric acid concentrations, coronary heart disease and venous thrombosis (in the presence of pulmonary embolism), (ii) possible causal relationships between adiposity and gray matter volume, depression and common mental disorders, oesophageal cancer, macroalbuminuria, end-stage renal disease, diabetic kidney disease, nuclear cataract and gall stone disease, and (iii) no evidence for causal relationships between adiposity and Alzheimer's disease, pancreatic cancer, venous thrombosis (in the absence of pulmonary embolism), liver function and periodontitis.
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Affiliation(s)
- P W Franks
- Genetic & Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University Diabetes Center, Skåne University Hospital, Malmö, Sweden.,Unit of Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.,Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - N Atabaki-Pasdar
- Genetic & Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University Diabetes Center, Skåne University Hospital, Malmö, Sweden
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28
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Genetically predicted milk consumption and bone health, ischemic heart disease and type 2 diabetes: a Mendelian randomization study. Eur J Clin Nutr 2017; 71:1008-1012. [DOI: 10.1038/ejcn.2017.8] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Revised: 11/26/2016] [Accepted: 01/13/2017] [Indexed: 12/16/2022]
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29
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Drehmer M, Odegaard AO, Schmidt MI, Duncan BB, Cardoso LDO, Matos SMA, Molina MDCB, Barreto SM, Pereira MA. Brazilian dietary patterns and the dietary approaches to stop hypertension (DASH) diet-relationship with metabolic syndrome and newly diagnosed diabetes in the ELSA-Brasil study. Diabetol Metab Syndr 2017; 9:13. [PMID: 28228848 PMCID: PMC5307839 DOI: 10.1186/s13098-017-0211-7] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Accepted: 02/03/2017] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Studies evaluating dietary patterns, including the DASH diet, and their relationship with the metabolic syndrome and diabetes may help to understand the role of dairy products (low fat or full fat) in these conditions. Our aim is to identify dietary patterns in Brazilian adults and compare them with the (DASH) diet quality score in terms of their associations with metabolic syndrome and newly diagnosed diabetes in the Brazilian Longitudinal Study of Adult Health-the ELSA-Brasil study. METHODS The ELSA-Brasil is a multicenter cohort study comprising 15,105 civil servants, aged 35-74 years at baseline (2008-2010). Standardized interviews and exams were carried out, including an OGTT. We analyzed baseline data for 10,010 subjects. Dietary patterns were derived by principal component analysis. Multivariable logistic regression investigated associations of dietary patterns with metabolic syndrome and newly diagnosed diabetes and multivariable linear regression with components of metabolic syndrome. RESULTS After controlling for potential confounders, we observed that greater adherence to the Common Brazilian meal pattern (white rice, beans, beer, processed and fresh meats), was associated with higher frequencies of newly diagnosed diabetes, metabolic syndrome and all of its components, except HDL-C. Participants with greater intake of a Common Brazilian fast foods/full fat dairy/milk based desserts pattern presented less newly diagnosed diabetes. An inverse association was also seen between the DASH Diet pattern and the metabolic syndrome, blood pressure and waist circumference. Diet, light foods and beverages/low fat dairy pattern was associated with more prevalence of both outcomes, and higher fasting glucose, HDL-C, waist circumference (among men) and lower blood pressure. Vegetables/fruit dietary pattern did not protect against metabolic syndrome and newly diagnosed diabetes but was associated with lower waist circumference. CONCLUSIONS The inverse associations found for the dietary pattern characterizing Brazilian fast foods and desserts, typically containing dairy products, with newly diagnosed diabetes, and for the DASH diet with metabolic syndrome, support previously demonstrated beneficial effects of dairy products in metabolism. The positive association with metabolic syndrome and newly diagnosed diabetes found for the pattern characterizing a typical Brazilian meal deserves further investigation, particularly since it is frequently accompanied by processed meat. Trial registration NCT02320461. Registered 18 December 2014.
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Affiliation(s)
- Michele Drehmer
- Department of Nutrition, School of Medicine, Federal University of Rio Grande do Sul, Rua Ramiro Barcelos, 2400, 4o andar, Porto Alegre, RS Brazil
- Postgraduate Program in Epidemiology and Hospital de Clínicas de Porto Alegre, School of Medicine, Federal University of Rio Grande do Sul, Rua Ramiro Barcelos 2600, sala 419, Porto Alegre, RS Brazil
| | - Andrew O. Odegaard
- Department of Epidemiology, School of Medicine, University of California, Irvine, USA
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology and Hospital de Clínicas de Porto Alegre, School of Medicine, Federal University of Rio Grande do Sul, Rua Ramiro Barcelos 2600, sala 419, Porto Alegre, RS Brazil
- Department of Social Medicine, School of Medicine, Federal University of Rio Grande do Sul, Rua Ramiro Barcelos, 2600, sala 419, Porto Alegre, RS Brazil
| | - Bruce B. Duncan
- Postgraduate Program in Epidemiology and Hospital de Clínicas de Porto Alegre, School of Medicine, Federal University of Rio Grande do Sul, Rua Ramiro Barcelos 2600, sala 419, Porto Alegre, RS Brazil
- Department of Social Medicine, School of Medicine, Federal University of Rio Grande do Sul, Rua Ramiro Barcelos, 2600, sala 419, Porto Alegre, RS Brazil
| | | | - Sheila M. Alvim Matos
- Institute of Collective Health, Federal University of Bahia, 513 Araújo Pinho Ave., Salvador, Brazil
| | | | - Sandhi M. Barreto
- Research Group on Epidemiology on Chronic and Occupational Diseases (GERMINAL), School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais 30130-100 Brazil
| | - Mark A. Pereira
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 S. 2nd Street, Suite 300, Minneapolis, MN USA
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