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

نویسندگان

  • Fumiaki Imamura
  • Stephen J Sharp
  • Albert Koulman
  • Matthias B Schulze
  • Janine Kröger
  • Julian L Griffin
  • José M Huerta
  • Marcela Guevara
  • Ivonne Sluijs
  • Antonio Agudo
  • Eva Ardanaz
  • Beverley Balkau
  • Heiner Boeing
  • Veronique Chajes
  • Christina C Dahm
  • Courtney Dow
  • Guy Fagherazzi
  • Edith J M Feskens
  • Paul W Franks
  • Diana Gavrila
  • Marc Gunter
  • Rudolf Kaaks
  • Timothy J Key
  • Kay-Tee Khaw
  • Tilman Kühn
  • Olle Melander
  • Elena Molina-Portillo
  • Peter M Nilsson
  • Anja Olsen
  • Kim Overvad
  • Domenico Palli
  • Salvatore Panico
  • Olov Rolandsson
  • Sabina Sieri
  • Carlotta Sacerdote
  • Nadia Slimani
  • Annemieke M W Spijkerman
  • Anne Tjønneland
  • Rosario Tumino
  • Yvonne T van der Schouw
  • Claudia Langenberg
  • Elio Riboli
  • Nita G Forouhi
  • Nick J Wareham
چکیده

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 case-cohort 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 γ-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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عنوان ژورنال:

دوره 14  شماره 

صفحات  -

تاریخ انتشار 2017