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Fatty acid biomarkers of dairy fat consumption and incidence of type 2 diabetes: A pooled analysis of prospective cohort studies.
Wednesday,2019-05-22 16:30 America/Los_Angeles — ecterry
| Title | Fatty acid biomarkers of dairy fat consumption and incidence of type 2 diabetes: A pooled analysis of prospective cohort studies. |
| Publication Type | Journal Article |
| Year of Publication | 2018 |
| Authors | Imamura, F, Fretts, A, Marklund, M, Korat, AVArdisson, Yang, W-S, Lankinen, M, Qureshi, W, Helmer, C, Chen, T-A, Wong, K, Bassett, JK, Murphy, R, Tintle, N, Yu, CIan, Brouwer, IA, Chien, K-L, Frazier-Wood, AC, Del Gobbo, LC, Djoussé, L, Geleijnse, JM, Giles, GG, de Goede, J, Gudnason, V, Harris, WS, Hodge, A, Hu, F, Koulman, A, Laakso, M, Lind, L, Lin, H-J, McKnight, B, Rajaobelina, K, Riserus, U, Robinson, JG, Samieri, C, Siscovick, DS, Soedamah-Muthu, SS, Sotoodehnia, N, Sun, Q, Tsai, MY, Uusitupa, M, Wagenknecht, LE, Wareham, NJ, Wu, JHY, Micha, R, Forouhi, NG, Lemaitre, RN, Mozaffarian, D |
| Corporate/Institutional Authors | InterAct Consortium, Fatty Acids and Outcomes Research Consortium (FORCE) |
| Journal | PLoS Med |
| Volume | 15 |
| Issue | 10 |
| Pagination | e1002670 |
| Date Published | 2018 10 |
| ISSN | 1549-1676 |
| Keywords | Aged, Australia, Biomarkers, Dairy Products, Diabetes Mellitus, Type 2, Dietary Fats, Europe, Fatty Acids, Fatty Acids, Monounsaturated, Female, Humans, Incidence, Male, Middle Aged, Prospective Studies, Sex Factors, Taiwan, United States |
| Abstract | <p><b>BACKGROUND: </b>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).</p><p><b>METHODS AND FINDINGS: </b>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.</p><p><b>CONCLUSIONS: </b>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.</p> |
| DOI | 10.1371/journal.pmed.1002670 |
| Alternate Journal | PLoS Med. |
| PubMed ID | 30303968 |
| PubMed Central ID | PMC6179183 |
| Grant List | MC_UU_12012/5 / / Medical Research Council / United Kingdom MC_UU_12015/1 / / Medical Research Council / United Kingdom MC_UU_12015/5 / / Medical Research Council / United Kingdom R01 HL076200 / HL / NHLBI NIH HHS / United States N01 AG012100 / AG / NIA NIH HHS / United States HHSN268201200036C / HL / NHLBI NIH HHS / United States HHSN268200800007C / HL / NHLBI NIH HHS / United States U01 HL080295 / HL / NHLBI NIH HHS / United States U01 HL130114 / HL / NHLBI NIH HHS / United States R01 AG023629 / AG / NIA NIH HHS / United States UM1 CA167552 / CA / NCI NIH HHS / United States HHSN263201500003I / NH / NIH HHS / United States UL1 TR000040 / TR / NCATS NIH HHS / United States UL1 TR001079 / TR / NCATS NIH HHS / United States HHSN268201600018C / HL / NHLBI NIH HHS / United States HHSN268201600001C / HL / NHLBI NIH HHS / United States HHSN268201600002C / HL / NHLBI NIH HHS / United States HHSN268201600003C / HL / NHLBI NIH HHS / United States HHSN268201600004C / HL / NHLBI NIH HHS / United States |
ePub date:
18/10