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Title: A combination of plasma phospholipid fatty acids and its association with incidence of type 2 diabetes: The EPIC-InterAct case-cohort study.
Authors: Imamura, Fumiaki
Sharp, Stephen J
Koulman, Albert
Schulze, Matthias B
Kröger, Janine
Griffin, Julian L
Huerta, José M
Guevara, Marcela
Sluijs, Ivonne
Agudo, Antonio
Ardanaz, Eva
Balkau, Beverley
Boeing, Heiner
Chajes, Veronique
Dahm, Christina C
Dow, Courtney
Fagherazzi, Guy
Feskens, Edith J M
Franks, Paul W
Gavrila, Diana
Gunter, Marc
Kaaks, Rudolf
Key, Timothy J
Khaw, Kay-Tee
Kühn, Tilman
Melander, Olle
Molina-Portillo, Elena
Nilsson, Peter M
Olsen, Anja
Overvad, Kim
Palli, Domenico
Panico, Salvatore
Rolandsson, Olov
Sieri, Sabina
Sacerdote, Carlotta
Slimani, Nadia
Spijkerman, Annemieke M W
Tjønneland, Anne
Tumino, Rosario
van der Schouw, Yvonne T
Langenberg, Claudia
Riboli, Elio
Forouhi, Nita G
Wareham, Nick J
metadata.dc.subject.mesh: Biomarkers
Case-Control Studies
Cohort Studies
Cross-Sectional Studies
Diabetes Mellitus, Type 2
Fatty Acids
Middle Aged
Principal Component Analysis
Prospective Studies
Random Allocation
Issue Date: 11-Oct-2017
Abstract: 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. 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 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.
metadata.dc.identifier.doi: 10.1371/journal.pmed.1002409
Appears in Collections:Producción 2020

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