1
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Wu J, Tao G, Xiao H. Association of different milk fat content with coronary artery disease and myocardial infarction risk: A Mendelian randomization study. PLoS One 2024; 19:e0300513. [PMID: 38598469 PMCID: PMC11006182 DOI: 10.1371/journal.pone.0300513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 02/29/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND Numerous observational studies have investigated on the correlation of whole, semi-skimmed, and skimmed milk with coronary artery disease (CAD) and myocardial infarction (MI) risk; However, no consensus has been reached and evidence on any causal links between these exposures and outcomes remains unclear. This study aimed to conduct univariate and multivariate Mendelian randomization (MR) analyses, using publicly released genome-wide association study summary statistics (GWAS) from the IEU GWAS database, to ascertain the causal association of milk with various fat content with CAD and MI risk. METHODS For the exposure data, 29, 15, and 30 single-nucleotide polymorphisms for whole milk, semi-skimmed milk, and skimmed milk, respectively, obtained from 360,806 Europeans, were used as instrumental variables. CAD and MI comprised 141,217 and 395,795 samples, respectively. We used inverse variance weighted (IVW), weighted median, MR-Egger regression, and MR Pleiotropy Residual Sum and Outlier analyses to determine whether pleiotropy and heterogeneity could skew the MR results. Sensitivity tests were conducted to verify the robustness of the results. RESULTS After adjusting for false discovery rates (FDR), we discovered proof that skimmed milk intake is a genetically predicted risk factor for CAD (odds ratio [OR] = 5.302; 95% confidence interval [CI] 2.261-12.432; P < 0.001; FDR-corrected P < 0.001) and MI (OR = 2.287; 95% CI 1.218-4.300; P = 0.010; FDR-corrected P = 0.009). Most sensitivity assessments yielded valid results. Multivariable MR for CAD and MI produced results consistent with those obtained using the IVW method. There was no causal relationship between whole or semi-skimmed milk, and CAD or MI. CONCLUSION Our findings indicate that the consumption of skimmed milk may increase the risk of CAD and MI. This evidence may help inform dietary recommendations for preventing cardiovascular disease. Further studies are required to elucidate the underlying mechanisms.
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Affiliation(s)
- Jiacan Wu
- Department of Cardiology, The First Hospital of Chongqing Medical University, Chongqing, China
| | - Guanghong Tao
- Department of Cardiology, The First Hospital of Chongqing Medical University, Chongqing, China
| | - Hua Xiao
- Department of Cardiology, The First Hospital of Chongqing Medical University, Chongqing, China
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2
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Zhang S, Li H, Engström G, Niu K, Qi L, Borné Y, Sonestedt E. Milk intake, lactase persistence genotype, plasma proteins and risks of cardiovascular events in the Swedish general population. Eur J Epidemiol 2023; 38:211-224. [PMID: 36604367 PMCID: PMC9905175 DOI: 10.1007/s10654-022-00937-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Accepted: 10/16/2022] [Indexed: 01/07/2023]
Abstract
To investigate the associations of milk intake (non-fermented and fermented milk), lactase persistence (LCT-13910 C/T) genotype (a proxy for long-term non-fermented milk intake), and gene-milk interaction with risks of cardiovascular disease (CVD) and CVD mortality. Also, to identify the CVD-related plasma proteins and lipoprotein subfractions associated with milk intake and LCT-13910 C/T genotype. The prospective cohort study included 20,499 participants who were followed up for a mean of 21 years. Dietary intake was assessed using a modified diet history method. Cox proportional hazards regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). After adjusting for sociodemographic and lifestyle factors, higher non-fermented milk intake was significantly associated with higher risks of coronary heart disease (CHD) and CVD mortality, whereas higher fermented milk intake was significantly associated with lower risks of CVD and CVD mortality. The genotype associated with higher milk (mainly non-fermented) intake was positively associated with CHD (CT/TT vs. CC HR = 1.27; 95% CI: 1.03, 1.55) and CVD (HR = 1.22; 95% CI: 1.05, 1.42). The association between rs4988235 genotype and CVD mortality was stronger in participants with higher milk intake than among participants with lower intake (P for interaction < 0.05). Furthermore, leptin, HDL, and large HDL were associated with non-fermented milk intake, while no plasma proteins or lipoprotein subfractions associated with fermented milk intake and LCT-13910 C/T genotype were identified. In conclusion, non-fermented milk intake was associated with higher risks of CHD and CVD mortality, as well as leptin and HDL, whereas fermented milk intake was associated with lower risks of CVD and CVD mortality.
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Affiliation(s)
- Shunming Zhang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Gata 35, 21428, Malmö, Sweden.
| | - Huiping Li
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Gata 35, 21428, Malmö, Sweden
- Nutritional Epidemiology Institute, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Gunnar Engström
- Cardiovascular Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Kaijun Niu
- Nutritional Epidemiology Institute, School of Public Health, Tianjin Medical University, Tianjin, China
| | - 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
| | - Yan Borné
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Gata 35, 21428, Malmö, Sweden
| | - Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Gata 35, 21428, Malmö, Sweden
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3
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Vissers LET, Sluijs I, Burgess S, Forouhi NG, Freisling H, Imamura F, Nilsson TK, Renström F, Weiderpass E, Aleksandrova K, Dahm CC, Perez-Cornago A, Schulze MB, Tong TYN, Aune D, Bonet C, Boer JMA, Boeing H, Chirlaque MD, Conchi MI, Imaz L, Jäger S, Krogh V, Kyrø C, Masala G, Melander O, Overvad K, Panico S, Sánches MJ, Sonestedt E, Tjønneland A, Tzoulaki I, Verschuren WMM, Riboli E, Wareham NJ, Danesh J, Butterworth AS, van der Schouw YT. Milk intake and incident stroke and CHD in populations of European descent: a Mendelian randomisation study. Br J Nutr 2022; 128:1789-1797. [PMID: 34670632 PMCID: PMC9592953 DOI: 10.1017/s0007114521004244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 07/01/2021] [Accepted: 09/22/2021] [Indexed: 12/29/2022]
Abstract
Higher milk intake has been associated with a lower stroke risk, but not with risk of CHD. Residual confounding or reverse causation cannot be excluded. Therefore, we estimated the causal association of milk consumption with stroke and CHD risk through instrumental variable (IV) and gene-outcome analyses. IV analysis included 29 328 participants (4611 stroke; 9828 CHD) of the European Prospective Investigation into Cancer and Nutrition (EPIC)-CVD (eight European countries) and European Prospective Investigation into Cancer and Nutrition-Netherlands (EPIC-NL) case-cohort studies. rs4988235, a lactase persistence (LP) SNP which enables digestion of lactose in adulthood was used as genetic instrument. Intake of milk was first regressed on rs4988235 in a linear regression model. Next, associations of genetically predicted milk consumption with stroke and CHD were estimated using Prentice-weighted Cox regression. Gene-outcome analysis included 777 024 participants (50 804 cases) from MEGASTROKE (including EPIC-CVD), UK Biobank and EPIC-NL for stroke, and 483 966 participants (61 612 cases) from CARDIoGRAM, UK Biobank, EPIC-CVD and EPIC-NL for CHD. In IV analyses, each additional LP allele was associated with a higher intake of milk in EPIC-CVD (β = 13·7 g/d; 95 % CI 8·4, 19·1) and EPIC-NL (36·8 g/d; 95 % CI 20·0, 53·5). Genetically predicted milk intake was not associated with stroke (HR per 25 g/d 1·05; 95 % CI 0·94, 1·16) or CHD (1·02; 95 % CI 0·96, 1·08). In gene-outcome analyses, there was no association of rs4988235 with risk of stroke (OR 1·02; 95 % CI 0·99, 1·05) or CHD (OR 0·99; 95 % CI 0·95, 1·03). Current Mendelian randomisation analysis does not provide evidence for a causal inverse relationship between milk consumption and stroke or CHD risk.
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Affiliation(s)
- L. E. T. Vissers
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - I. Sluijs
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - S. Burgess
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - N. G. Forouhi
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - H. Freisling
- International Agency for Research on Cancer, Lyon, France
| | - F. Imamura
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - T. K. Nilsson
- Department of Medical Biosciences/Clinical Chemistry, Umeå University, Umeå, Sweden
| | - F. Renström
- Department of Biobank Research, Umeå University, Umeå, Sweden
- Division of Endocrinology and Diabetes, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - E. Weiderpass
- International Agency for Research on Cancer, Lyon, France
| | - K. Aleksandrova
- Germany Institute of Nutritional Sciences, University of Potsdam, Nuthetal, Germany
| | - C. C. Dahm
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - A. Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - M. B. Schulze
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Germany Institute of Nutritional Sciences, University of Potsdam, Nuthetal, Germany
| | - T. Y. N. Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - D. Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Nutrition, Bjørknes University College, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - C. Bonet
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain
| | - J. M. A. Boer
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - H. Boeing
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - M. D. Chirlaque
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Murcia, Spain
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - M. I. Conchi
- Navarra Public Health Institute – IdiSNA, Pamplona, Spain
- Research Network on Health Services in Chronic Diseases (REDISSEC), Pamplona, Spain
| | - L. Imaz
- Ministry of Health of the Basque Government, Public Health Division of Gipuzkoa, Donostia-San Sebastian, Spain
- Biodonostia Health Research Institute, Donostia-San Sebastian, Spain
| | - S. Jäger
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - V. Krogh
- Epidemiology and prevention Unit, Fondazione IRCCS Instituto Nazionale dei Tumori, Milano, Italy
| | - C. Kyrø
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - G. Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network – ISPRO, Florence, Italy
| | - O. Melander
- Lund University, Department of Clinical Sciences, Malmö, Sweden
| | - K. Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - S. Panico
- Dipartemento di medicina clinica e chirurgia, Federico II University, Naples, Italy
| | - M. J. Sánches
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Andalusian School of Public Health (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria de Granada, Granada, Spain
- Universidad de Granada, Granada, Spain
| | - E. Sonestedt
- Lund University, Department of Clinical Sciences, Malmö, Sweden
| | - A. Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - I. Tzoulaki
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - W. M. M. Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - E. Riboli
- School of Public Health, Imperial College London, UK
| | - N. J. Wareham
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - J. Danesh
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - A. S. Butterworth
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Y. T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
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4
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Roa-Díaz ZM, Teuscher J, Gamba M, Bundo M, Grisotto G, Wehrli F, Gamboa E, Rojas LZ, Gómez-Ochoa SA, Verhoog S, Vargas MF, Minder B, Franco OH, Dehghan A, Pazoki R, Marques-Vidal P, Muka T. Gene-diet interactions and cardiovascular diseases: a systematic review of observational and clinical trials. BMC Cardiovasc Disord 2022; 22:377. [PMID: 35987633 PMCID: PMC9392936 DOI: 10.1186/s12872-022-02808-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 07/28/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Both genetic background and diet are important determinants of cardiovascular diseases (CVD). Understanding gene-diet interactions could help improve CVD prevention and prognosis. We aimed to summarise the evidence on gene-diet interactions and CVD outcomes systematically. METHODS We searched MEDLINE® via Ovid, Embase, PubMed®, and The Cochrane Library for relevant studies published until June 6th 2022. We considered for inclusion cross-sectional, case-control, prospective cohort, nested case-control, and case-cohort studies as well as randomised controlled trials that evaluated the interaction between genetic variants and/or genetic risk scores and food or diet intake on the risk of related outcomes, including myocardial infarction, coronary heart disease (CHD), stroke and CVD as a composite outcome. The PROSPERO protocol registration code is CRD42019147031. RESULTS AND DISCUSSION We included 59 articles based on data from 29 studies; six articles involved multiple studies, and seven did not report details of their source population. The median sample size of the articles was 2562 participants. Of the 59 articles, 21 (35.6%) were qualified as high quality, while the rest were intermediate or poor. Eleven (18.6%) articles adjusted for multiple comparisons, four (7.0%) attempted to replicate the findings, 18 (30.5%) were based on Han-Chinese ethnicity, and 29 (49.2%) did not present Minor Allele Frequency. Fifty different dietary exposures and 52 different genetic factors were investigated, with alcohol intake and ADH1C variants being the most examined. Of 266 investigated diet-gene interaction tests, 50 (18.8%) were statistically significant, including CETP-TaqIB and ADH1C variants, which interacted with alcohol intake on CHD risk. However, interactions effects were significant only in some articles and did not agree on the direction of effects. Moreover, most of the studies that reported significant interactions lacked replication. Overall, the evidence on gene-diet interactions on CVD is limited, and lack correction for multiple testing, replication and sample size consideration.
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Affiliation(s)
- Zayne M Roa-Díaz
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland. .,Graduate School for Health Sciences, University of Bern, Bern, Switzerland.
| | - Julian Teuscher
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland
| | - Magda Gamba
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland.,Graduate School for Health Sciences, University of Bern, Bern, Switzerland
| | - Marvin Bundo
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland.,Graduate School for Health Sciences, University of Bern, Bern, Switzerland.,Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland
| | - Giorgia Grisotto
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland.,Graduate School for Health Sciences, University of Bern, Bern, Switzerland.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Faina Wehrli
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland
| | - Edna Gamboa
- School of Nutrition and Dietetics, Health Faculty, Universidad Industrial de Santander, Bucaramanga, Colombia
| | - Lyda Z Rojas
- Nursing Research and Knowledge Development Group GIDCEN, Fundación Cardiovascular de Colombia, Floridablanca, Colombia
| | - Sergio A Gómez-Ochoa
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland
| | - Sanne Verhoog
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland.,Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | - Beatrice Minder
- Public Health & Primary Care Library, University Library of Bern, University of Bern, Bern, Switzerland
| | - Oscar H Franco
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.,Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, UK
| | - Raha Pazoki
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, UK.,Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.,CIRTM Centre for Inflammation Research and Translational Medicine, College of Health and Life Sciences, Brunel University London, Uxbridge, UK
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Taulant Muka
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland
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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: 14] [Impact Index Per Article: 7.0] [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
| | - 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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Chen Z, Ahmed M, Ha V, Jefferson K, Malik V, Ribeiro PAB, Zuchinali P, Drouin-Chartier JP. Dairy Product Consumption and Cardiovascular Health: a Systematic Review and Meta-Analysis of Prospective Cohort Studies. Adv Nutr 2021; 13:S2161-8313(22)00071-0. [PMID: 34550320 PMCID: PMC8970833 DOI: 10.1093/advances/nmab118] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
The association between dairy product consumption and cardiovascular health remains highly debated. We quantitatively synthesized prospective cohort evidence on the associations between dairy consumption and risk of hypertension (HTN), coronary heart disease (CHD) and stroke. We systematically searched PubMed, Embase, and Web of Science through August 1st, 2020 to retrieve prospective cohort studies that reported on dairy consumption and risk of HTN, CHD or stroke. We used random-effects models to calculate the pooled relative risk (RR) and 95% confidence interval (CI) for the highest vs the lowest category of intake and for 1 serving/day increase in consumption. We rated the quality of evidence using NutriGrade. Fifty-five studies were included. Total dairy consumption was associated with a lower risk of HTN (RR for highest vs lowest level of intake: 0.91, 95% CI: 0.86-0.95, I2 = 73.5%; RR for 1 serving/day increase: 0.96, 95% CI: 0.94-0.97, I2 = 66.5%), CHD (highest vs lowest level of intake: 0.96, 95% CI: 0.92-1.00, I2 = 46.6%; 1 serving/day increase: 0.98, 95% CI: 0.95-1.00, I2 = 56.7%), and stroke (highest vs lowest level of intake: 0.90, 95% CI: 0.85-0.96, I2 = 60.8%; 1 serving/day increase: 0.96, 95% CI: 0.93-0.99, I2 = 74.7%). Despite moderate to considerable heterogeneity, these associations remained consistent across multiple subgroups. Evidence on the relationship between total dairy and risk of HTN and CHD were of moderate quality and of low quality for stroke. Low-fat dairy consumption was associated with lower risk of HTN and stroke, and high-fat dairy with a lower risk of stroke. Milk, cheese, or yogurt consumption showed inconsistent associations with the cardiovascular outcomes in high vs. low intake and dose-response meta-analyses. Total dairy consumption was associated with a modestly lower risk of hypertension, CHD and stroke. Moderate to considerable heterogeneity was observed in the estimates and the overall quality of the evidence was low to moderate.
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Affiliation(s)
- Zhangling Chen
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Mavra Ahmed
- Department of Nutritional Sciences, University of Toronto, Toronto, ON, Canada,Joannah and Brian Lawson Centre for Child Nutrition, University of Toronto, Toronto, ON, Canada
| | - Vanessa Ha
- School of Medicine, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada
| | | | - Vasanti Malik
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA,Department of Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Paula A B Ribeiro
- Montreal Behavioural Medicine Centre, CIUSSS du Nord-de-l’Île-de-Montréal, Montréal, QC, Canada,Centre de recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada
| | - Priccila Zuchinali
- Centre de recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada
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9
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Cruijsen E, Jacobo Cejudo MG, Küpers LK, Busstra MC, Geleijnse JM. Dairy consumption and mortality after myocardial infarction: a prospective analysis in the Alpha Omega Cohort. Am J Clin Nutr 2021; 114:59-69. [PMID: 33826695 PMCID: PMC8246616 DOI: 10.1093/ajcn/nqab026] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 01/26/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Population-based studies generally show neutral associations between dairy consumption and ischemic heart disease (IHD) mortality, whereas weak inverse associations were found for cardiovascular disease (CVD) and stroke mortality. Whether dairy consumption affects long-term survival after myocardial infarction (MI) is unknown. OBJECTIVES We studied types of dairy and long-term mortality risk in drug-treated post-MI patients. METHODS We included 4365 Dutch patients from the Alpha Omega Cohort aged 60-80 y (21% women) with an MI ≤10 y before enrollment. Dietary data were collected at baseline (2002-2006) using a 203-item FFQ and patients were followed for cause-specific mortality through December 2018. HRs of CVD, IHD, stroke, and all-cause mortality for types of dairy were obtained from Cox models, adjusting for age, sex, energy intake, physical activity, smoking, alcohol intake, diabetes, obesity, and dietary factors. RESULTS Most patients were Dutch, 24% were obese, 20% had diabetes, and 97% used cardiovascular medication. Median intakes were 39 g/d for plain yogurt, 88 g/d for total nonfermented milk, and 17 g/d for hard cheeses. Of the cohort, 10% consumed high-fat milk. During ∼12 y of follow-up (48,473 person-years) 2035 deaths occurred, including 903 from CVD, 558 from IHD, and 170 from stroke. Yogurt was linearly inversely associated with CVD mortality (HR: 0.96; 95% CI: 0.93, 0.99; per 25 g/d) and nonlinearly inversely associated with all-cause mortality. Milk was not associated with any of the outcomes (HRs: ∼1.0 per 100 g/d), except for a higher mortality risk in high-fat milk consumers (HR: 1.30; 95% CI: 1.13, 1.49). Other dairy groups were not associated with mortality risk. CONCLUSIONS In Dutch post-MI patients, yogurt consumption was inversely associated with CVD mortality and all-cause mortality. Associations for milk and other dairy products were neutral or inconsistent.This trial was registered at clinicaltrials.gov as NCT03192410.
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Affiliation(s)
| | - Maria G Jacobo Cejudo
- Division of Human Nutrition and Health, Wageningen University, Wageningen, Netherlands
| | - Leanne K Küpers
- Division of Human Nutrition and Health, Wageningen University, Wageningen, Netherlands
| | - Maria C Busstra
- Division of Human Nutrition and Health, Wageningen University, Wageningen, Netherlands
| | - Johanna M Geleijnse
- Division of Human Nutrition and Health, Wageningen University, Wageningen, Netherlands
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10
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Jakobsen MU, Trolle E, Outzen M, Mejborn H, Grønberg MG, Lyndgaard CB, Stockmarr A, Venø SK, Bysted A. Intake of dairy products and associations with major atherosclerotic cardiovascular diseases: a systematic review and meta-analysis of cohort studies. Sci Rep 2021; 11:1303. [PMID: 33446728 PMCID: PMC7809206 DOI: 10.1038/s41598-020-79708-x] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 12/11/2020] [Indexed: 01/29/2023] Open
Abstract
Specific types of dairy products may be differentially associated with atherosclerotic cardiovascular disease (CVD). We conducted a systematic review and meta-analysis of cohort studies to summarize findings on the associations between total dairy product intake and intake of dairy product subgroups and the risk of major atherosclerotic CVDs in the general adult population. Our protocol was registered in PROSPERO (CRD42019125455). PubMed and Embase were systematically searched through 15 August 2019. For high versus low intake and dose-response meta-analysis, random-effects modelling was used to calculate summary risk ratios (RR). There were 13 cohort studies included for coronary heart disease (CHD), 7 for ischemic stroke and none for peripheral artery disease. High-fat milk was positively associated with CHD (RR 1.08 (95% confidence interval 1.00-1.16) per 200 g higher intake/day) and cheese was inversely associated with CHD (RR 0.96 (95% confidence interval 0.93-0.98) per 20 g higher intake/day). Heterogeneity, however, was observed in high versus low meta-analyses. Milk was inversely associated with ischemic stroke in high versus low meta-analysis only. In conclusion, this systematic review indicates a positive association of high-fat milk and an inverse association of cheese with CHD risk. The findings should be interpreted in the context of the observed heterogeneity.
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Affiliation(s)
- Marianne Uhre Jakobsen
- grid.5170.30000 0001 2181 8870Division for Diet, Disease Prevention and Toxicology, National Food Institute, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Ellen Trolle
- grid.5170.30000 0001 2181 8870Division for Risk Assessment and Nutrition, National Food Institute, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Malene Outzen
- grid.5170.30000 0001 2181 8870Division for Diet, Disease Prevention and Toxicology, National Food Institute, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Heddie Mejborn
- grid.5170.30000 0001 2181 8870Division for Risk Assessment and Nutrition, National Food Institute, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Manja G. Grønberg
- grid.5170.30000 0001 2181 8870Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Christian Bøge Lyndgaard
- grid.5170.30000 0001 2181 8870Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Anders Stockmarr
- grid.5170.30000 0001 2181 8870Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Stine K. Venø
- grid.27530.330000 0004 0646 7349Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Anette Bysted
- grid.5170.30000 0001 2181 8870Division for Food Technology, National Food Institute, Technical University of Denmark, Kgs. Lyngby, Denmark
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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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13
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Wang XJ, Jiang CQ, Zhang WS, Zhu F, Jin YL, Woo J, Cheng KK, Lam TH, Xu L. Milk consumption and risk of mortality from all-cause, cardiovascular disease and cancer in older people. Clin Nutr 2020; 39:3442-3451. [DOI: 10.1016/j.clnu.2020.03.003] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Revised: 03/01/2020] [Accepted: 03/02/2020] [Indexed: 11/29/2022]
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14
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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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15
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Benn M, Nordestgaard BG. From genome-wide association studies to Mendelian randomization: novel opportunities for understanding cardiovascular disease causality, pathogenesis, prevention, and treatment. Cardiovasc Res 2019; 114:1192-1208. [PMID: 29471399 DOI: 10.1093/cvr/cvy045] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Accepted: 02/16/2018] [Indexed: 12/22/2022] Open
Abstract
The Mendelian randomization approach is an epidemiological study design incorporating genetic information into traditional epidemiological studies to infer causality of biomarkers, risk factors, or lifestyle factors on disease risk. Mendelian randomization studies often draw on novel information generated in genome-wide association studies on causal associations between genetic variants and a risk factor or lifestyle factor. Such information can then be used in a largely unconfounded study design free of reverse causation to understand if and how risk factors and lifestyle factors cause cardiovascular disease. If causation is demonstrated, an opportunity for prevention of disease is identified; importantly however, before prevention or treatment can be implemented, randomized intervention trials altering risk factor levels or improving deleterious lifestyle factors needs to document reductions in cardiovascular disease in a safe and side-effect sparse manner. Documentation of causality can also inform on potential drug targets, more likely to be successful than prior approaches often relying on animal or cell studies mainly. The present review summarizes the history and background of Mendelian randomization, the study design, assumptions for using the design, and the most common caveats, followed by a discussion on advantages and disadvantages of different types of Mendelian randomization studies using one or more samples and different levels of information on study participants. The review also provides an overview of results on many of the risk factors and lifestyle factors for cardiovascular disease examined to date using the Mendelian randomization study design.
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Affiliation(s)
- Marianne Benn
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Børge G Nordestgaard
- The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.,Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark.,The Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen University Hospital, Denmark
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16
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Dairy Intake and Body Composition and Cardiometabolic Traits among Adults: Mendelian Randomization Analysis of 182041 Individuals from 18 Studies. Clin Chem 2019; 65:751-760. [PMID: 31138550 PMCID: PMC6818094 DOI: 10.1373/clinchem.2018.300335] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2018] [Accepted: 02/25/2019] [Indexed: 11/06/2022]
Abstract
BACKGROUND Associations between dairy intake and body composition and cardiometabolic traits have been inconsistently observed in epidemiological studies, and the causal relationship remains ill-defined. METHODS We performed Mendelian randomization analysis using an established genetic variant located upstream of the lactase gene (LCT-13910 C/T, rs4988235) associated with dairy intake as an instrumental variable (IV). The causal effects of dairy intake on body composition and cardiometabolic traits (lipids, glycemic traits, and inflammatory factors) were quantified by IV estimators among 182041 participants from 18 studies. RESULTS Each 1 serving/day higher dairy intake was associated with higher lean mass [β (SE) = 0.117 kg (0.035); P = 0.001], higher hemoglobin A1c [0.009% (0.002); P < 0.001], lower LDL [-0.014 mmol/L (0.006); P = 0.013], total cholesterol (TC) [-0.012 mmol/L (0.005); P = 0.023], and non-HDL [-0.012 mmol/L (0.005); P = 0.028]. The LCT-13910 C/T CT + TT genotype was associated with 0.214 more dairy servings/day (SE = 0.047; P < 0.001), 0.284 cm higher waist circumference (SE = 0.118; P = 0.017), 0.112 kg higher lean mass (SE = 0.027; P = 3.8 × 10-5), 0.032 mmol/L lower LDL (SE = 0.009; P = 0.001), and 0.032 mmol/L lower TC (SE = 0.010; P = 0.001). Genetically higher dairy intake was associated with increased lean mass [0.523 kg per serving/day (0.170); P = 0.002] after correction for multiple testing (0.05/18). However, we find that genetically higher dairy intake was not associated with lipids and glycemic traits. CONCLUSIONS The present study provides evidence to support a potential causal effect of higher dairy intake on increased lean mass among adults. Our findings suggest that the observational associations of dairy intake with lipids and glycemic traits may be the result of confounding.
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17
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Clarke R. Beneficial Effects of Milk Consumption on Lean Body Mass. Clin Chem 2019; 65:718-719. [DOI: 10.1373/clinchem.2019.305581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 04/02/2019] [Indexed: 11/06/2022]
Affiliation(s)
- Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit, University of Oxford, Oxford, UK
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18
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Hu Q, Hao P, Liu Q, Dong M, Gong Y, Zhang C, Zhang Y. Mendelian randomization studies on atherosclerotic cardiovascular disease: evidence and limitations. SCIENCE CHINA-LIFE SCIENCES 2019; 62:758-770. [DOI: 10.1007/s11427-019-9537-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 03/26/2019] [Indexed: 12/26/2022]
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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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Real-time PCR based detection of the lactase non-persistence associated genetic variant LCT-13910C>T directly from whole blood. Mol Biol Rep 2019; 46:2379-2385. [PMID: 30790118 DOI: 10.1007/s11033-019-04696-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Accepted: 02/09/2019] [Indexed: 01/20/2023]
Abstract
Primary hypolactasia is the main cause of lactose intolerance in adults. It is strongly associated with the single genetic variant LCT-13910C>T, located upstream of the lactase encoding gene. Consequently, analysis of LCT-13910C>T has been recommended as a direct genetic test for the trait. The aim of our study was to develop a TaqMan probe based real-time PCR protocol for the detection of the LCT-13910C>T variant directly from whole blood, circumventing DNA isolation. The LCT-13910C>T variant was determined using the DirectBlood Genotyping PCR Kit (myPOLS Biotec, Konstanz, Germany) together with an in-house TaqMan primer-probe assay. Validity and specificity of the assay was evaluated using EDTA anti-coagulated whole blood samples and corresponding DNA samples. Results from real-time PCR were compared with results obtained by Sanger sequencing from 105 blinded whole blood samples. Validity and specificity of the assay using whole blood were comparable to those using purified genomic DNA as substrate in PCR. Genetic analysis of blood samples were in complete agreement with results obtained by Sanger sequencing. In conclusion, we present a reliable real-time PCR protocol for the detection of the LCT-13910C>T variant directly from whole blood further facilitating diagnosis of primary hypolactasia in symptomatic patients.
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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: 84] [Impact Index Per Article: 14.0] [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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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: 98] [Impact Index Per Article: 16.3] [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: 52] [Impact Index Per Article: 8.7] [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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25
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Bergholdt HKM, Larsen MK, Varbo A, Nordestgaard BG, Ellervik C. Lactase persistence, milk intake, hip fracture and bone mineral density: a study of 97 811 Danish individuals and a meta-analysis. J Intern Med 2018. [PMID: 29537719 DOI: 10.1111/joim.12753] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Whether a causal relationship exists between milk intake and reduced risk of fractures is unclear. OBJECTIVES We tested the hypothesis that genetically determined milk intake reduces the risk of fractures and increases bone mineral density (BMD). METHODS We investigated the association between milk intake, LCT-13910 C/T (rs4988235), which is associated with lactase persistence (TT/TC) in Northern Europeans, and hip fractures in three Danish prospective studies (N = 97 811, age ≥20 years). We added meta-analyses of LCT-13910 and fractures and BMD from five published Northern European population studies. RESULTS In the Danish studies, the adjusted hazard ratio (HR) for hip fracture per one glass per week higher milk intake was 1.00 (95% CI: 0.99-1.01). The per T-allele milk intake was 0.58 (0.49-0.68) glasses per week, but HR was 1.01 (0.94-1.09) for hip fracture. In meta-analyses of Danish studies with published Northern European population studies, the random effects odds ratio for any fracture was 0.86 (0.61-1.21; I2 = 73%) for TT vs. CC and 0.90 (0.68-1.21; I2 = 63%) for TC vs. CC. The standardized mean difference in femoral neck BMD was 0.10 (0.02-0.18; I2 = 0%) g cm-2 for TT vs. CC and 0.06 (-0.04 to 0.17; I2 = 17%) g cm-2 for TC vs. CC. There were no differences in lumbar spine or total hip BMD comparing TT or TC with CC. CONCLUSION Genetically lifelong lactase persistence with high milk intake was not associated with hip fracture in Danish population-based cohorts. A meta-analysis combining Danish studies with published Northern European population studies also showed that lactase persistence was not associated with fracture risk. Genetic lactase persistence was associated with a higher femoral neck BMD, but not lumbar spine or total hip BMD.
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Affiliation(s)
- H K M Bergholdt
- Department of Clinical Biochemistry, Copenhagen University Hospital Naestved Slagelse Ringsted, Naestved, Denmark.,The Danish General Suburban Population Study, Copenhagen University Hospital Naestved Slagelse Ringsted, Naestved, Denmark
| | - M K Larsen
- The Danish General Suburban Population Study, Copenhagen University Hospital Naestved Slagelse Ringsted, Naestved, Denmark.,Department of Science and Environment, University of Roskilde, Roskilde, Denmark
| | - A Varbo
- Department of Clinical Biochemistry, Copenhagen University Hospital, Herlev and Gentofte Hospital, Herlev, Denmark.,The Copenhagen General Population Study, Copenhagen University Hospital, Herlev and Gentofte Hospital, Herlev, Denmark
| | - B G Nordestgaard
- The Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Biochemistry, Copenhagen University Hospital, Herlev and Gentofte Hospital, Herlev, Denmark.,The Copenhagen General Population Study, Copenhagen University Hospital, Herlev and Gentofte Hospital, Herlev, Denmark.,The Copenhagen City Heart Study, Copenhagen University Hospital, Frederiksberg Hospital, Frederiksberg, Denmark
| | - C Ellervik
- The Danish General Suburban Population Study, Copenhagen University Hospital Naestved Slagelse Ringsted, Naestved, Denmark.,The Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Production, Research and Innovation, Region Zealand, Sorø, Denmark.,Department of Laboratory Medicine, Boston Children's Hospital, Boston, MA, USA
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26
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Juhl CR, Bergholdt HKM, Miller IM, Jemec GBE, Kanters JK, Ellervik C. Dairy Intake and Acne Vulgaris: A Systematic Review and Meta-Analysis of 78,529 Children, Adolescents, and Young Adults. Nutrients 2018; 10:nu10081049. [PMID: 30096883 PMCID: PMC6115795 DOI: 10.3390/nu10081049] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Revised: 08/04/2018] [Accepted: 08/07/2018] [Indexed: 12/14/2022] Open
Abstract
A meta-analysis can help inform the debate about the epidemiological evidence on dairy intake and development of acne. A systematic literature search of PubMed from inception to 11 December 2017 was performed to estimate the association of dairy intake and acne in children, adolescents, and young adults in observational studies. We estimated the pooled random effects odds ratio (OR) (95% CI), heterogeneity (I²-statistics, Q-statistics), and publication bias. We included 14 studies (n = 78,529; 23,046 acne-cases/55,483 controls) aged 7⁻30 years. ORs for acne were 1.25 (95% CI: 1.15⁻1.36; p = 6.13 × 10-8) for any dairy, 1.22 (1.08⁻1.38; p = 1.62 × 10-3) for full-fat dairy, 1.28 (1.13⁻1.44; p = 8.23 × 10-5) for any milk, 1.22 (1.06⁻1.41; p = 6.66 × 10-3) for whole milk, 1.32 (1.16⁻1.52; p = 4.33 × 10-5) for low-fat/skim milk, 1.22 (1.00⁻1.50; p = 5.21 × 10-2) for cheese, and 1.36 (1.05⁻1.77; p = 2.21 × 10-2) for yogurt compared to no intake. ORs per frequency of any milk intake were 1.24 (0.95⁻1.62) by 2⁻6 glasses per week, 1.41 (1.05⁻1.90) by 1 glass per day, and 1.43 (1.09⁻1.88) by ≥2 glasses per day compared to intake less than weekly. Adjusted results were attenuated and compared unadjusted. There was publication bias (p = 4.71 × 10-3), and heterogeneity in the meta-analyses were explained by dairy and study characteristics. In conclusion, any dairy, such as milk, yogurt, and cheese, was associated with an increased OR for acne in individuals aged 7⁻30 years. However, results should be interpreted with caution due to heterogeneity and bias across studies.
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Affiliation(s)
- Christian R Juhl
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 2100 Copenhagen, Denmark.
| | - Helle K M Bergholdt
- Department of Production, Research, and Innovation, Region Zealand, 4180 Sorø, Denmark.
| | - Iben M Miller
- Department of Dermatology, Zealand University Hospital, 4000 Roskilde, Denmark.
| | - Gregor B E Jemec
- Department of Dermatology, Zealand University Hospital, 4000 Roskilde, Denmark.
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100 Copenhagen, Denmark.
| | - Jørgen K Kanters
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 2100 Copenhagen, Denmark.
| | - Christina Ellervik
- Department of Production, Research, and Innovation, Region Zealand, 4180 Sorø, Denmark.
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100 Copenhagen, Denmark.
- Department of Laboratory Medicine, Boston Children's Hospital, 300 Longwood Avenue, Boston, MA 02115, USA.
- Department of Pathology, Harvard Medical School, Boston, MA 02115, USA.
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27
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Lactase Persistence, Milk Intake, and Adult Acne: A Mendelian Randomization Study of 20,416 Danish Adults. Nutrients 2018; 10:nu10081041. [PMID: 30096803 PMCID: PMC6115808 DOI: 10.3390/nu10081041] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Revised: 07/30/2018] [Accepted: 08/03/2018] [Indexed: 12/20/2022] Open
Abstract
Whether there is a causal relationship between milk intake and acne is unknown. We tested the hypothesis that genetically determined milk intake is associated with acne in adults using a Mendelian randomization design. LCT-13910 C/T (rs4988235) is associated with lactase persistence (TT/TC) in Northern Europeans. We investigated the association between milk intake, LCT-13910 C/T (rs4988235), and acne in 20,416 adults (age-range: 20⁻96) from The Danish General Suburban Population Study (GESUS). The adjusted observational odds ratio for acne in any milk intake vs. no milk intake was 0.93(95% confidence interval: 0.48⁻1.78) in females and 0.49(0.22⁻1.08) in males aged 20⁻39 years, and 1.15(95% confidence interval: 0.66⁻1.99) in females and 1.02(0.61⁻1.72) in males above 40 years. The unadjusted odds ratio for acne in TT+TC vs. CC was 0.84(0.43⁻1.62) in the age group 20⁻39 years, and 0.99(0.52⁻1.88) above 40 years. We did not find any observational or genetic association between milk intake and acne in our population of adults.
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Nordestgaard BG, Cosentino F, Landmesser U, Laufs U. The year in cardiology 2017: prevention. Eur Heart J 2018; 39:345-353. [DOI: 10.1093/eurheartj/ehx766] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 12/19/2017] [Indexed: 12/18/2022] Open
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29
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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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30
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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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Bechthold A, Boeing H, Schwedhelm C, Hoffmann G, Knüppel S, Iqbal K, De Henauw S, Michels N, Devleesschauwer B, Schlesinger S, Schwingshackl L. Food groups and risk of coronary heart disease, stroke and heart failure: A systematic review and dose-response meta-analysis of prospective studies. Crit Rev Food Sci Nutr 2017; 59:1071-1090. [PMID: 29039970 DOI: 10.1080/10408398.2017.1392288] [Citation(s) in RCA: 365] [Impact Index Per Article: 52.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Despite growing evidence for food-based dietary patterns' potential to reduce cardiovascular disease risk, knowledge about the amounts of food associated with the greatest change in risk of specific cardiovascular outcomes and about the quality of meta-evidence is limited. Therefore, the aim of this meta-analysis was to synthesize the knowledge about the relation between intake of 12 major food groups (whole grains, refined grains, vegetables, fruits, nuts, legumes, eggs, dairy, fish, red meat, processed meat, and sugar-sweetened beverages [SSB]) and the risk of coronary heart disease (CHD), stroke and heart failure (HF). METHODS We conducted a systematic search in PubMed and Embase up to March 2017 for prospective studies. Summary risk ratios (RRs) and 95% confidence intervals (95% CI) were estimated using a random effects model for highest versus lowest intake categories, as well as for linear and non-linear relationships. RESULTS Overall, 123 reports were included in the meta-analyses. An inverse association was present for whole grains (RRCHD: 0.95 (95% CI: 0.92-0.98), RRHF: 0.96 (0.95-0.97)), vegetables and fruits (RRCHD: 0.97 (0.96-0.99), and 0.94 (0.90-0.97); RRstroke: 0.92 (0.86-0.98), and 0.90 (0.84-0.97)), nuts (RRCHD: 0.67 (0.43-1.05)), and fish consumption (RRCHD: 0.88 (0.79-0.99), RRstroke: 0.86 (0.75-0.99), and RRHF: 0.80 (0.67-0.95)), while a positive association was present for egg (RRHF: 1.16 (1.03-1.31)), red meat (RRCHD: 1.15 (1.08-1.23), RRstroke: 1.12 (1.06-1.17), RRHF: 1.08 (1.02-1.14)), processed meat (RRCHD: 1.27 (1.09-1.49), RRstroke: 1.17 (1.02-1.34), RRHF: 1.12 (1.05-1.19)), and SSB consumption (RRCHD: 1.17 (1.11-1.23), RRstroke: 1.07 (1.02-1.12), RRHF: 1.08 (1.05-1.12)) in the linear dose-response meta-analysis. There were clear indications for non-linear dose-response relationships between whole grains, fruits, nuts, dairy, and red meat and CHD. CONCLUSION An optimal intake of whole grains, vegetables, fruits, nuts, legumes, dairy, fish, red and processed meat, eggs and SSB showed an important lower risk of CHD, stroke, and HF.
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Affiliation(s)
| | - Heiner Boeing
- b Department of Epidemiology , German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE) , Nuthetal , Germany
| | - Carolina Schwedhelm
- b Department of Epidemiology , German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE) , Nuthetal , Germany
| | - Georg Hoffmann
- c Department of Nutritional Sciences , University of Vienna , Vienna , Austria
| | - Sven Knüppel
- b Department of Epidemiology , German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE) , Nuthetal , Germany
| | - Khalid Iqbal
- b Department of Epidemiology , German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE) , Nuthetal , Germany
| | | | - Nathalie Michels
- d Department of Public Health , Ghent University , Gent , Belgium
| | - Brecht Devleesschauwer
- e Department of Public Health and Surveillance , Scientific Institute of Public Health (WIV-ISP) , Brussels , Belgium
| | - Sabrina Schlesinger
- f Institute for Biometry and Epidemiology, Deutsches Diabetes-Zentrum (DDZ) at Heinrich Heine University Düsseldorf , Düsseldorf , Germany
| | - Lukas Schwingshackl
- b Department of Epidemiology , German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE) , Nuthetal , Germany
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32
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Lactase persistence, milk intake, and mortality in the Danish general population: a Mendelian randomization study. Eur J Epidemiol 2017; 33:171-181. [DOI: 10.1007/s10654-017-0328-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 10/20/2017] [Indexed: 12/17/2022]
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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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Guo J, Astrup A, Lovegrove JA, Gijsbers L, Givens DI, Soedamah-Muthu SS. Milk and dairy consumption and risk of cardiovascular diseases and all-cause mortality: dose-response meta-analysis of prospective cohort studies. Eur J Epidemiol 2017; 32:269-287. [PMID: 28374228 PMCID: PMC5437143 DOI: 10.1007/s10654-017-0243-1] [Citation(s) in RCA: 235] [Impact Index Per Article: 33.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Accepted: 03/27/2017] [Indexed: 02/07/2023]
Abstract
With a growing number of prospective cohort studies, an updated dose-response meta-analysis of milk and dairy products with all-cause mortality, coronary heart disease (CHD) or cardiovascular disease (CVD) have been conducted. PubMed, Embase and Scopus were searched for articles published up to September 2016. Random-effect meta-analyses with summarised dose-response data were performed for total (high-fat/low-fat) dairy, milk, fermented dairy, cheese and yogurt. Non-linear associations were investigated using the spine models and heterogeneity by subgroup analyses. A total of 29 cohort studies were available for meta-analysis, with 938,465 participants and 93,158 mortality, 28,419 CHD and 25,416 CVD cases. No associations were found for total (high-fat/low-fat) dairy, and milk with the health outcomes of mortality, CHD or CVD. Inverse associations were found between total fermented dairy (included sour milk products, cheese or yogurt; per 20 g/day) with mortality (RR 0.98, 95% CI 0.97-0.99; I2 = 94.4%) and CVD risk (RR 0.98, 95% CI 0.97-0.99; I2 = 87.5%). Further analyses of individual fermented dairy of cheese and yogurt showed cheese to have a 2% lower risk of CVD (RR 0.98, 95% CI 0.95-1.00; I2 = 82.6%) per 10 g/day, but not yogurt. All of these marginally inverse associations of totally fermented dairy and cheese were attenuated in sensitivity analyses by removing one large Swedish study. This meta-analysis combining data from 29 prospective cohort studies demonstrated neutral associations between dairy products and cardiovascular and all-cause mortality. For future studies it is important to investigate in more detail how dairy products can be replaced by other foods.
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Affiliation(s)
- Jing Guo
- Institute for Food, Nutrition and Health, University of Reading, Reading, RG6 6AR UK
| | - Arne Astrup
- Department of Nutrition, Exercise and Sports, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Julie A. Lovegrove
- Hugh Sinclair Unit of Human Nutrition, Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, RG6 6AP UK
| | - Lieke Gijsbers
- Division of Human Nutrition, Wageningen University and Research, 6708 WE Wageningen, The Netherlands
| | - David I. Givens
- Institute for Food, Nutrition and Health, University of Reading, Reading, RG6 6AR UK
| | - Sabita S. Soedamah-Muthu
- Division of Human Nutrition, Wageningen University and Research, 6708 WE Wageningen, The Netherlands
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35
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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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Abstract
Prevalence of type 2 diabetes mellitus (T2DM) is rapidly increasingly and is a key risk for CVD development, now recognised as the leading cause of death globally. Dietary strategies to reduce CVD development include reduction of saturated fat intake. Milk and dairy products are the largest contributors to dietary saturated fats in the UK and reduced consumption is often recommended as a strategy for risk reduction. However, overall evidence from prospective cohort studies does not confirm a detrimental association between dairy product consumption and CVD risk. The present review critically evaluates the current evidence on the association between milk and dairy products and risk of CVD, T2DM and the metabolic syndrome (collectively, cardiometabolic disease). The effects of total and individual dairy foods on cardiometabolic risk factors and new information on the effects of the food matrix on reducing fat digestion are also reviewed. It is concluded that a policy to lower SFA intake by reducing dairy food consumption to reduce cardiometabolic disease risk is likely to have limited or possibly negative effects. There remain many uncertainties, including differential effects of different dairy products and those of differing fat content. Focused and suitably designed and powered studies are needed to provide clearer evidence not only of the mechanisms involved, but how they may be beneficially influenced during milk production and processing.
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Smith CE, Coltell O, Sorlí JV, Estruch R, Martínez-González MÁ, Salas-Salvadó J, Fitó M, Arós F, Dashti HS, Lai CQ, Miró L, Serra-Majem L, Gómez-Gracia E, Fiol M, Ros E, Aslibekyan S, Hidalgo B, Neuhouser ML, Di C, Tucker KL, Arnett DK, Ordovás JM, Corella D. Associations of the MCM6-rs3754686 proxy for milk intake in Mediterranean and American populations with cardiovascular biomarkers, disease and mortality: Mendelian randomization. Sci Rep 2016; 6:33188. [PMID: 27624874 PMCID: PMC5021998 DOI: 10.1038/srep33188] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Accepted: 08/23/2016] [Indexed: 12/13/2022] Open
Abstract
Controversy persists on the association between dairy products, especially milk, and cardiovascular diseases (CVD). Genetic proxies may improve dairy intake estimations, and clarify diet-disease relationships through Mendelian randomization. We meta-analytically (n ≤ 20,089) evaluated associations between a lactase persistence (LP) SNP, the minichromosome maintenance complex component 6 (MCM6)-rs3754686C>T (nonpersistence>persistence), dairy intake, and CVD biomarkers in American (Hispanics, African-American and Whites) and Mediterranean populations. Moreover, we analyzed longitudinal associations with milk, CVD and mortality in PREDIMED), a randomized Mediterranean diet (MedDiet) intervention trial (n = 7185). The MCM6-rs3754686/MCM6-rs309180 (as proxy), LP-allele (T) was strongly associated with higher milk intake, but inconsistently associated with glucose and lipids, and not associated with CVD or total mortality in the whole population. Heterogeneity analyses suggested some sex-specific associations. The T-allele was associated with higher CVD and mortality risk in women but not in men (P-sex interaction:0.005 and 0.032, respectively), mainly in the MedDiet group. However, milk intake was not associated with CVD biomarkers, CVD or mortality either generally or in sub-groups. Although MCM6-rs3754686 is a good milk intake proxy in these populations, attributing its associations with CVD and mortality in Mediterranean women to milk is unwarranted, as other factors limiting the assumption of causality in Mendelian randomization may exist.
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Affiliation(s)
- Caren E. Smith
- Nutrition and Genomics Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Oscar Coltell
- Department of Computer Languages and Systems, School of Technology and Experimental Sciences. University Jaume I, Castellón, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Jose V. Sorlí
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, Valencia, Spain
| | - Ramón Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Hospital Clinic, IDIBAPS, Barcelona, Spain
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra-Navarra Institute for Health Research (IdisNa), Pamplona, Navarra, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, University Rovira i Virgili, Reus, Spain
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Cardiovascular Epidemiology Unit, Municipal Institut for Medical Research (IMIM), Barcelona, Spain
| | - Fernando Arós
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Cardiology, Hospital Txagorritxu, Vitoria, Spain
| | - Hassan S. Dashti
- Nutrition and Genomics Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Chao Q. Lai
- Nutrition and Genomics Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Leticia Miró
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Family Medicine, Research Unit. Distrito Sanitario Atención Primaria Sevilla, Spain
| | - Lluís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Enrique Gómez-Gracia
- Department of Epidemiology, School of Medicine, University of Malaga, Malaga, Spain
| | - Miquel Fiol
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Palma Institute of Health Research (IdISPa). Hospital Son Espases. Palma de Mallorca, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Lipid Clinic, Endocrinology and Nutrition Service, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, Barcelona, Spain
| | - Stella Aslibekyan
- Department of Epidemiology, School of Public Health, University of Alabama, Birmingham, Alabama, USA
| | - Bertha Hidalgo
- Department of Epidemiology, School of Public Health, University of Alabama, Birmingham, Alabama, USA
| | | | - Chongzhi Di
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Katherine L. Tucker
- Department of Clinical Laboratory & Nutritional Sciences, University of Massachusetts Lowell, Massachusetts, USA
| | - Donna K. Arnett
- Department of Epidemiology, School of Public Health, University of Alabama, Birmingham, Alabama, USA
| | - José M. Ordovás
- Nutrition and Genomics Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
- Department of Epidemiology and Population Genetics, Centro Nacional Investigación Cardiovasculares (CNIC), Madrid, Spain
- Instituto Madrileño de Estudios Avanzados en Alimentación, Madrid, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, Valencia, Spain
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Hartwig FP, Horta BL, Smith GD, de Mola CL, Victora CG. Association of lactase persistence genotype with milk consumption, obesity and blood pressure: a Mendelian randomization study in the 1982 Pelotas (Brazil) Birth Cohort, with a systematic review and meta-analysis. Int J Epidemiol 2016; 45:1573-1587. [PMID: 27170764 PMCID: PMC5100608 DOI: 10.1093/ije/dyw074] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/16/2016] [Indexed: 11/13/2022] Open
Abstract
Background: Milk intake has been associated with lower blood pressure (BP) in observational studies, and randomized controlled trials suggested that milk-derived tripeptides have BP-lowering effects. Milk intake has also been associated with body mass index (BMI). Nevertheless, it is unclear whether increasing milk consumption would reduce BP in the general population. Methods: We investigated the association of milk intake with obesity and BP using genetically-defined lactase persistence (LP) based on the rs4988235 polymorphism in a Mendelian randomization design in the 1982 Pelotas (Southern Brazil) Birth Cohort. These results were combined with published reports identified through a systematic review using meta-analysis. Results: In the 1982 Pelotas Birth Cohort, milk intake was 42 [95% confidence interval (CI): 18; 67) ml/day higher in LP individuals. In conventional observational analysis, each 1-dl/day increase in milk intake was associated with −0.26 (95% CI: −0.33; −0.19) kg/m2 in BMI and −0.31 (95% CI: −0.46; −0.16) and -0.35 (95% CI: −0.46; −0.23) mmHg in systolic and diastolic BP, respectively. These results were not corroborated when analysing LP status, but confidence intervals were large. In random effects meta-analysis, LP individuals presented higher BMI [0.17 (95% CI: 0.07; 0.27) kg/m2] and higher odds of overweight-obesity [1.09 (95% CI: 1.02; 1.17)]. There were no reliable associations for BP. Conclusions: Our study supports that LP is positively associated with obesity, suggesting that the negative association of milk intake with obesity is likely due to limitations of conventional observational studies. Our findings also do not support that increased milk intake leads to lower BP.
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Affiliation(s)
| | - Bernardo Lessa Horta
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | | | | | - Cesar Gomes Victora
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
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Stefan N, Häring HU, Hu FB, Schulze MB. Divergent associations of height with cardiometabolic disease and cancer: epidemiology, pathophysiology, and global implications. Lancet Diabetes Endocrinol 2016; 4:457-67. [PMID: 26827112 DOI: 10.1016/s2213-8587(15)00474-x] [Citation(s) in RCA: 67] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2015] [Revised: 11/16/2015] [Accepted: 11/26/2015] [Indexed: 12/22/2022]
Abstract
Among chronic non-communicable diseases, cardiometabolic diseases and cancer are the most important causes of morbidity and mortality worldwide. Although high BMI and waist circumference, as estimates of total and abdominal fat mass, are now accepted as predictors of the increasing incidence of these diseases, adult height, which also predicts mortality, has been neglected. Interestingly, increasing evidence suggests that height is associated with lower cardiometabolic risk, but higher cancer risk, associations supported by mendelian randomisation studies. Understanding the complex epidemiology, biology, and pathophysiology related to height, and its association with cardiometabolic diseases and cancer, is becoming even more important because average adult height has increased substantially in many countries during recent generations. Among the mechanisms driving the increase in height and linking height with cardiometabolic diseases and cancer are insulin and insulin-like growth factor signalling pathways. These pathways are thought to be activated by overnutrition, especially increased intake of milk, dairy products, and other animal proteins during different stages of child development. Limiting overnutrition during pregnancy, early childhood, and puberty would avoid not only obesity, but also accelerated growth in children-and thus might reduce risk of cancer in adulthood.
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Affiliation(s)
- Norbert Stefan
- Department of Internal Medicine IV, University Hospital Tübingen, Tübingen, Germany; Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Centre Munich at the Unversity of Tübingen, Tübingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Hans-Ulrich Häring
- Department of Internal Medicine IV, University Hospital Tübingen, Tübingen, Germany; Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Centre Munich at the Unversity of Tübingen, Tübingen, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Frank B Hu
- Departments of Nutrition and Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Matthias B Schulze
- German Center for Diabetes Research (DZD), Neuherberg, Germany; Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
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40
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Bohl M, Bjørnshave A, Gregersen S, Hermansen K. Whey and Casein Proteins and Medium-Chain Saturated Fatty Acids from Milk Do Not Increase Low-Grade Inflammation in Abdominally Obese Adults. Rev Diabet Stud 2016; 13:148-157. [PMID: 28012280 PMCID: PMC5553764 DOI: 10.1900/rds.2016.13.148] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2015] [Revised: 11/04/2015] [Accepted: 12/10/2015] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Low-grade inflammation is involved in the development of diabetes and cardiovascular disease (CVD). Inflammation can be modulated by dietary factors. Dairy products are rich in saturated fatty acids (SFA), which are known to possess pro-inflammatory properties. However, different fatty acid compositions may exert different effects. Other components such as milk proteins may exert anti-inflammatory properties which may compensate for the potential negative effects of SFAs. Generally, the available data suggest a neutral role of dairy product consumption on inflammation. AIM To investigate the effects of, and potential interaction between, a dietary supplementation with whey protein and milk fat, naturally enriched in medium-chain SFA (MC-SFA), on inflammatory markers in abdominal obese adults. METHODS The study was a 12-week, randomized, double-blinded, intervention study. Sixty-three adults were equally allocated to one of four groups which received a supplement of either 60 g/day whey or 60 g/day casein plus 63 g/day milk fat either high or low in MC-SFA content. Fifty-two subjects completed the study. Before and after the intervention, changes in plasma interleukin-6 (IL-6), interleukin-1 receptor antagonist (IL-1RA), high-sensitive C-reactive protein (hsCRP), adiponectin, and monocyte chemoattractant protein-1 (MCP-1) were measured. Changes in inflammatory genes in the subcutaneous adipose tissue were also documented. RESULTS There were no differences in circulating inflammatory markers between protein types or fatty acid compositions in abdominally obese subjects, with the exception of an increase in adiponectin in response to high compared to low MC-SFA consumption in women. We found that combined dairy proteins and MC-SFAs influenced inflammatory gene expression in adipose tissue, while no effect was detected by dairy proteins or MC-SFA per se. CONCLUSION Whey protein compared with casein and MC-SFA-enriched milk fat did not alter circulating markers of low-grade inflammation in abdominally obese subjects, except for an increase in circulating adiponectin in response to high MC-SFA in abdominally obese women.
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Affiliation(s)
- Mette Bohl
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Ann Bjørnshave
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
- The Danish Diabetes Academy, Odense, Denmark
| | - Søren Gregersen
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Kjeld Hermansen
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
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41
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Abstract
CVD are the leading cause of mortality and morbidity worldwide. One of the key dietary recommendations for CVD prevention is reduction of saturated fat intake. Yet, despite milk and dairy foods contributing on average 27 % of saturated fat intake in the UK diet, evidence from prospective cohort studies does not support a detrimental effect of milk and dairy foods on risk of CVD. The present paper provides a brief overview of the role of milk and dairy products in the diets of UK adults, and will summarise the evidence in relation to the effects of milk and dairy consumption on CVD risk factors and mortality. The majority of prospective studies and meta-analyses examining the relationship between milk and dairy product consumption and risk of CVD show that milk and dairy products, excluding butter, are not associated with detrimental effects on CVD mortality or risk biomarkers that include serum LDL-cholesterol. In addition, there is increasing evidence that milk and dairy products are associated with lower blood pressure and arterial stiffness. These apparent benefits of milk and dairy foods have been attributed to their unique nutritional composition, and suggest that the elimination of milk and dairy may not be the optimum strategy for CVD risk reduction.
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42
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Mendelian Randomization for the Identification of Causal Pathways in Atherosclerotic Vascular Disease. Cardiovasc Drugs Ther 2016; 30:41-9. [DOI: 10.1007/s10557-016-6640-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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43
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Burgess S, Timpson NJ, Ebrahim S, Davey Smith G. Mendelian randomization: where are we now and where are we going? Int J Epidemiol 2015; 44:379-88. [DOI: 10.1093/ije/dyv108] [Citation(s) in RCA: 107] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
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