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| dc.contributor.author | Imamura, Fumiaki | |
| dc.contributor.author | Sharp, Stephen-J | |
| dc.contributor.author | Koulman, Albert | |
| dc.contributor.author | Schulze, Matthias-B | |
| dc.contributor.author | Kroeger, Janine | |
| dc.contributor.author | Griffin, Julian-L | |
| dc.contributor.author | Huerta-Castaño, José-María | |
| dc.contributor.author | Guevara, Marcela | |
| dc.contributor.author | Sluijs, Ivonne | |
| dc.contributor.author | Agudo, Antonio | |
| dc.contributor.author | Ardanaz, Eva | |
| dc.contributor.author | Balkau, Beverley | |
| dc.contributor.author | Boeing, Heiner | |
| dc.contributor.author | Chajes, Veronique | |
| dc.contributor.author | Dahm, Christina-C | |
| dc.contributor.author | Dow, Courtney | |
| dc.contributor.author | Fagherazzi, Guy | |
| dc.contributor.author | Feskens, Edith-J-M | |
| dc.contributor.author | Franks, Paul-W | |
| dc.contributor.author | Gavrila-Chervase, Diana | |
| dc.contributor.author | Gunter, Marc | |
| dc.contributor.author | Kaaks, Rudolf | |
| dc.contributor.author | Key, Timothy-J | |
| dc.contributor.author | Khaw, Kay-Tee | |
| dc.contributor.author | Kuehn, Tilman | |
| dc.contributor.author | Melander, Olle | |
| dc.contributor.author | Molina-Portillo, Elena | |
| dc.contributor.author | Nilsson, Peter-M | |
| dc.contributor.author | Olsen, Anja | |
| dc.contributor.author | Overvad, Kim | |
| dc.contributor.author | Palli, Domenico | |
| dc.contributor.author | Panico, Salvatore | |
| dc.contributor.author | Rolandsson, Olov | |
| dc.contributor.author | Sieri, Sabina | |
| dc.contributor.author | Sacerdote, Carlotta | |
| dc.contributor.author | Slimani, Nadia | |
| dc.contributor.author | Spijkerman, Annemieke-M-W | |
| dc.contributor.author | Tjonneland, Anne | |
| dc.contributor.author | Tumino, Rosario | |
| dc.contributor.author | van-der-Schouw, Yvonne-T | |
| dc.contributor.author | Langenberg, Claudia | |
| dc.contributor.author | Riboli, Elio | |
| dc.contributor.author | Forouhi, Nita-G | |
| dc.contributor.author | Wareham, Nick-J | |
| dc.date.accessioned | 2026-01-19T16:05:12Z | |
| dc.date.available | 2026-01-19T16:05:12Z | |
| dc.date.issued | 2017-10 | |
| dc.identifier.citation | Imamura F, Sharp SJ, Koulman A, Schulze MB, Kröger J, Griffin JL, et al. A combination of plasma phospholipid fatty acids and its association with incidence of type 2 diabetes: The EPIC-InterAct case-cohort study. Ma RCW, editor. PLoS Med. 11 de octubre de 2017;14(10):e1002409. | |
| dc.identifier.issn | 1549-1277 | |
| dc.identifier.uri | https://sms.carm.es/ricsmur/handle/123456789/23694 | |
| dc.description.abstract | 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 ?-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. | |
| dc.language.iso | eng | |
| dc.publisher | PUBLIC LIBRARY SCIENCE | |
| dc.rights | Atribución/Reconocimiento 4.0 Internacional | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/deed.es | * |
| dc.subject.mesh | Biomarkers/blood | |
| dc.subject.mesh | Case-Control Studies | |
| dc.subject.mesh | Cohort Studies | |
| dc.subject.mesh | Cross-Sectional Studies | |
| dc.subject.mesh | Diabetes Mellitus, Type 2/blood/diagnosis/epidemiology | |
| dc.subject.mesh | Europe/epidemiology | |
| dc.subject.mesh | Fatty Acids/blood | |
| dc.subject.mesh | Female | |
| dc.subject.mesh | Humans | |
| dc.subject.mesh | Incidence | |
| dc.subject.mesh | Internationality | |
| dc.subject.mesh | Male | |
| dc.subject.mesh | Middle Aged | |
| dc.subject.mesh | Phospholipids/blood | |
| dc.subject.mesh | Principal Component Analysis/methods | |
| dc.subject.mesh | Prospective Studies | |
| dc.subject.mesh | Random Allocation | |
| dc.title | A combination of plasma phospholipid fatty acids and its association with incidence of type 2 diabetes: The EPIC-InterAct case-cohort study | |
| dc.type | info:eu-repo/semantics/article | |
| dc.identifier.pmid | 29020051 | |
| dc.relation.publisherversion | https://dx.plos.org/10.1371/journal.pmed.1002409 | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dc.identifier.doi | 10.1371/journal.pmed.1002409 | |
| dc.journal.title | Plos Medicine | |
| dc.identifier.essn | 1549-1676 |