Journal article
Fatty acid biomarkers of dairy fat consumption and incidence of type 2 diabetes: A pooled analysis of prospective cohort studies
PLoS medicine, Vol.15(10), pp.e1002670-e1002670
10/2018
DOI: 10.1371/journal.pmed.1002670
PMCID: PMC6179183
PMID: 30303968
Abstract
We aimed to investigate prospective associations of circulating or adipose tissue odd-chain fatty acids 15:0 and 17:0 and trans-palmitoleic acid, t16:1n-7, as potential biomarkers of dairy fat intake, with incident type 2 diabetes (T2D).
Sixteen prospective cohorts from 12 countries (7 from the United States, 7 from Europe, 1 from Australia, 1 from Taiwan) performed new harmonised individual-level analysis for the prospective associations according to a standardised plan. In total, 63,682 participants with a broad range of baseline ages and BMIs and 15,180 incident cases of T2D over the average of 9 years of follow-up were evaluated. Study-specific results were pooled using inverse-variance-weighted meta-analysis. Prespecified interactions by age, sex, BMI, and race/ethnicity were explored in each cohort and were meta-analysed. Potential heterogeneity by cohort-specific characteristics (regions, lipid compartments used for fatty acid assays) was assessed with metaregression. After adjustment for potential confounders, including measures of adiposity (BMI, waist circumference) and lipogenesis (levels of palmitate, triglycerides), higher levels of 15:0, 17:0, and t16:1n-7 were associated with lower incidence of T2D. In the most adjusted model, the hazard ratio (95% CI) for incident T2D per cohort-specific 10th to 90th percentile range of 15:0 was 0.80 (0.73-0.87); of 17:0, 0.65 (0.59-0.72); of t16:1n7, 0.82 (0.70-0.96); and of their sum, 0.71 (0.63-0.79). In exploratory analyses, similar associations for 15:0, 17:0, and the sum of all three fatty acids were present in both genders but stronger in women than in men (pinteraction < 0.001). Whereas studying associations with biomarkers has several advantages, as limitations, the biomarkers do not distinguish between different food sources of dairy fat (e.g., cheese, yogurt, milk), and residual confounding by unmeasured or imprecisely measured confounders may exist.
In a large meta-analysis that pooled the findings from 16 prospective cohort studies, higher levels of 15:0, 17:0, and t16:1n-7 were associated with a lower risk of T2D.
Details
- Title: Subtitle
- Fatty acid biomarkers of dairy fat consumption and incidence of type 2 diabetes: A pooled analysis of prospective cohort studies
- Creators
- Fumiaki Imamura - MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United KingdomAmanda Fretts - Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of AmericaMatti Marklund - Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, SwedenAndres V Ardisson Korat - Department of Nutrition and Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of AmericaWei-Sin Yang - Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City, TaiwanMaria Lankinen - Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, FinlandWaqas Qureshi - Section of Cardiovascular Medicine, Department of Internal Medicine, Wake Forest University School of Medicine, Bowman Gray Center, Winston-Salem, North Carolina, United States of AmericaCatherine Helmer - INSERM, UMR 1219, Bordeaux Population Health Research Center, University of Bordeaux, Bordeaux, FranceTzu-An Chen - USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, United States of AmericaKerry Wong - Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, AustraliaJulie K Bassett - Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, AustraliaRachel Murphy - Centre of Excellence in Cancer Prevention, School of Population & Public Health, Faculty of Medicine, The University of British Columbia, Vancouver, CanadaNathan Tintle - Department of Mathematics and Statistics, Dordt College, Sioux Center, Iowa, United States of AmericaChaoyu Ian Yu - Department of Biostatistics, University of Washington School of Public Health, Seattle, Washington, United States of AmericaIngeborg A Brouwer - Department of Health Sciences, Faculty of Earth & Life Sciences, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the NetherlandsKuo-Liong Chien - Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City, TaiwanAlexis C Frazier-Wood - USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, United States of AmericaLiana C Del Gobbo - Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California, United States of AmericaLuc Djoussé - Divisions of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of AmericaJohanna M Geleijnse - Division of Human Nutrition, Wageningen University, Wageningen, the NetherlandsGraham G Giles - Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, AustraliaJanette de Goede - Division of Human Nutrition, Wageningen University, Wageningen, the NetherlandsVilmundur Gudnason - Icelandic Heart Association Research Institute, Holtasmári 1, Kópavogur, Iceland, IcelandWilliam S Harris - OmegaQuant Analytics LLC, Sioux Falls, South Dakota, United States of AmericaAllison Hodge - Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, AustraliaFrank Hu - Department of Nutrition and Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of AmericaAlbert Koulman - Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, FinlandMarkku Laakso - Department of Medicine, Kuopio University Hospital, Kuopio, FinlandLars Lind - Department of Medical Sciences, Uppsala University, Uppsala, SwedenHung-Ju Lin - Department of Internal Medicine, National Taiwan University Hospital, Zhongzheng District, Taipei City, TaiwanKalina Rajaobelina - INSERM, UMR 1219, Bordeaux Population Health Research Center, University of Bordeaux, Bordeaux, FranceUlf Risérus - Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, SwedenJennifer G Robinson - Departments of Epidemiology and Medicine at the University of Iowa College of Public Health, Iowa City, Iowa, United States of AmericaCécilia Samieri - INSERM, UMR 1219, Bordeaux Population Health Research Center, University of Bordeaux, Bordeaux, FranceDavid S Siscovick - The New York Academy of Medicine, New York, New York, United States of AmericaSabita S Soedamah-Muthu - Center of Research on Psychology in Somatic Diseases, Department of Medical and Clinical Psychology, Tilburg University, Tilburg, the NetherlandsNona Sotoodehnia - Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of AmericaQi Sun - Department of Nutrition and Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of AmericaMichael Y Tsai - Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, United States of AmericaMatti Uusitupa - Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, FinlandLynne E Wagenknecht - Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of AmericaNick J Wareham - MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United KingdomJason Hy Wu - The George Institute for Global HealthRenata Micha - Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, United States of AmericaNita G Forouhi - MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United KingdomRozenn N Lemaitre - Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of AmericaDariush Mozaffarian - Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, United States of AmericaBarbara McKnight - University of WashingtonInterAct Consortium
- Resource Type
- Journal article
- Publication Details
- PLoS medicine, Vol.15(10), pp.e1002670-e1002670
- DOI
- 10.1371/journal.pmed.1002670
- PMID
- 30303968
- PMCID
- PMC6179183
- NLM abbreviation
- PLoS Med
- ISSN
- 1549-1277
- eISSN
- 1549-1676
- Publisher
- United States
- Grant note
- HHSN268201200036C / NHLBI NIH HHS UM1 CA167552 / NCI NIH HHS HHSN268200800007C / NHLBI NIH HHS U01 HL130114 / NHLBI NIH HHS U01 HL080295 / NHLBI NIH HHS HHSN268201600003C / NHLBI NIH HHS MC_UU_12015/1 / Medical Research Council MC_UU_12015/5 / Medical Research Council HHSN268201600001C / NHLBI NIH HHS HHSN263201500003I / NIH HHS HHSN268201600018C / NHLBI NIH HHS R01 AG023629 / NIA NIH HHS T32 CA009001 / NCI NIH HHS HHSN268201600004C / NHLBI NIH HHS HHSN268201600002C / NHLBI NIH HHS MC_UU_12012/5 / Medical Research Council UL1 TR000040 / NCATS NIH HHS R01 HL076200 / NHLBI NIH HHS UL1 TR001079 / NCATS NIH HHS N01 AG012100 / NIA NIH HHS
- Language
- English
- Date published
- 10/2018
- Academic Unit
- Epidemiology; Internal Medicine
- Record Identifier
- 9983996195702771
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