4.6 Article

A combination of plasma phospholipid fatty acids and its association with incidence of type 2 diabetes: The EPIC-InterAct case-cohort study

Journal

PLOS MEDICINE
Volume 14, Issue 10, Pages -

Publisher

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pmed.1002409

Keywords

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Funding

  1. EU FP6 programme [LSHM_CT_2006_037197]
  2. MRC Epidemiology Unit [MC_UU_12015/1, MC_UU_12015/5]
  3. National Institute for Health Research Biomedical Research Centre Cambridge [IS-BRC1215-20014]
  4. MRC Elsie Widdowson Laboratory [MC_UD99999906]
  5. Cambridge Lipidomics Biomarker Research Initiative [G0800783]
  6. MRC [MR/M012190/1]
  7. Cancer Research UK [C8221/19170]
  8. the German Federal Ministry of Education and Research
  9. German Center for Diabetes Research
  10. State of Brandenburg
  11. Health Research Fund of the Spanish Ministry of Health
  12. Murcia Regional Government [6236]
  13. Regional Government of Navarre and Institute de Salud Carlos III [PIE14/00045]
  14. Dutch Ministry of Public Health, Welfare and Sports, Netherlands Cancer Registry
  15. LK Research Funds
  16. Dutch Prevention Funds
  17. Dutch ZON (Zorg Onderzoek Nederland)
  18. World Cancer Research Fund
  19. Statistics Netherlands
  20. Netherlands Agency [IGE05012]
  21. UMC Utrecht
  22. Swedish Research Council
  23. Novo Nordisk
  24. Swedish Diabetes Association
  25. Swedish Heart-Lung Foundation
  26. German Cancer Aid
  27. German Ministry of Research
  28. MRC UK
  29. Cancer Research UK
  30. Danish Cancer Society
  31. The Vasterboten County Council
  32. AlRE-ONLUS Ragusa, AVIS-Ragusa, Sicilian Regional Government
  33. Imperial College Biomedical Research Centre
  34. MRC [MC_EX_G0800783, MC_PC_13030, MR/P011705/1, MC_UU_12015/5, MR/N003284/1, MC_UU_12015/1, MC_UP_A090_1006, MR/P01836X/1] Funding Source: UKRI
  35. Cancer Research UK [14136, 16491] Funding Source: researchfish
  36. Medical Research Council [MR/P01836X/1, MC_PC_13030, MR/P011705/1, G0401527, G1000143, MC_EX_G0800783, MC_UP_A090_1006, MR/N003284/1, MC_UU_12015/5, MC_UU_12015/1] Funding Source: researchfish
  37. National Institute for Health Research [NF-SI-0512-10135, NF-SI-0512-10114] Funding Source: researchfish
  38. Novo Nordisk Fonden [NNF14OC0009819, NNF13OC0005339] Funding Source: researchfish

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Background Combinations of multiple fatty acids may influence cardiometabolic risk more than single fatty acids. The association of a combination of fatty acids with incident type 2 diabetes (T2D) has not been evaluated. Methods and findings We measured plasma phospholipid fatty acids by gas chromatography in 27,296 adults, including 12,132 incident cases of T2D, over the follow-up period between baseline (1991-1998) and 31 December 2007 in 8 European countries in EPIC-InterAct, a nested casecohort study. The first principal component derived by principal component analysis of 27 individual fatty acids (mole percentage) was the main exposure (subsequently called the fatty acid pattern score [FA-pattern score]). The FA-pattern score was partly characterised by high concentrations of linoleic acid, stearic acid, odd-chain fatty acids, and very-long-chain saturated fatty acids and low concentrations of.-linolenic acid, palmitic acid, and long-chain monounsaturated fatty acids, and it explained 16.1% of the overall variability of the 27 fatty acids. Based on country-specific Prentice-weighted Cox regression and random-effects meta-analysis, the FA-pattern score was associated with lower incident T2D. Comparing the top to the bottom fifth of the score, the hazard ratio of incident T2D was 0.23 (95% CI 0.19-0.29) adjusted for potential confounders and 0.37 (95% CI 0.27-0.50) further adjusted for metabolic risk factors. The association changed little after adjustment for individual fatty acids or fatty acid subclasses. In cross-sectional analyses relating the FA-pattern score to metabolic, genetic, and dietary factors, the FA-pattern score was inversely associated with adiposity, triglycerides, liver enzymes, C-reactive protein, a genetic score representing insulin resistance, and dietary intakes of soft drinks and alcohol and was positively associated with high-density-lipoprotein cholesterol and intakes of polyunsaturated fat, dietary fibre, and coffee (p < 0.05 each). Limitations include potential measurement error in the fatty acids and other model covariates and possible residual confounding. Conclusions A combination of individual fatty acids, characterised by high concentrations of linoleic acid, odd-chain fatty acids, and very long-chain fatty acids, was associated with lower incidence of T2D. The specific fatty acid pattern may be influenced by metabolic, genetic, and dietary factors.

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