Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/124231
Title: Association between plasma phospholipid saturated fatty acids and metabolic markers of lipid, hepatic, inflammation and glycaemic pathways in eight European countries: a cross-sectional analysis in the EPIC-InterAct study
Author: Zheng, Ju-Sheng
Sharp, Stephen J.
Imamura, Fumiaki
Koulman, Albert
Schulze, Matthias B.
Ye, Zheng
Griffin, Jules
Guevara, Marcela
Huerta Castaño, José María
Kroger, Janine
Sluijs, Ivonne
Agudo, Antonio
Barricarte, Aurelio
Boeing, Heiner
Colorado Yohar, Sandra
Dow, Courtney
Dorronsoro, Miren
Dinesen, Pia T.
Fagherazzi, Guy
Franks, Paul W.
Feskens, Edith J. M.
Kuhn, Tilman
Katzke, Verena
Key, Timothy J.
Khaw, Kay-Tee
Santucci de Magistris, Maria
Mancini, Francesca Romana
Molina Portillo, Elena
Nilsson, Peter M.
Olsen, Anja
Overvad, Kim
Palli, Domenico
Quirós, J. Ramón
Rolandsson, Olov
Ricceri, Fulvio
Spijkerman, Annemieke M. W.
Slimani, Nadia
Tagliabue, Giovanna
Tjønneland, Anne
Tumino, Rosario
Schouw, Yvonne T. van der
Langenberg, Claudia
Riboli, Elio
Forouhi, Nita G.
Wareham, Nicholas J.
Keywords: Àcids grassos saturats
Glucèmia
Saturated fatty acids
Blood sugar
Issue Date: 17-Nov-2017
Publisher: BioMed Central
Abstract: Background: Accumulating evidence suggests that individual circulating saturated fatty acids (SFAs) are heterogeneous in their associations with cardio-metabolic diseases, but evidence about associations of SFAs with metabolic markers of different pathogenic pathways is limited. We aimed to examine the associations between plasma phospholipid SFAs and the metabolic markers of lipid, hepatic, glycaemic and inflammation pathways. Methods: We measured nine individual plasma phospholipid SFAs and derived three SFA groups (odd-chain: C15:0 + C17:0, even-chain: C14:0 + C16:0 + C18:0, and very-long-chain: C20:0 + C22:0 + C23:0 + C24:0) in individuals from the subcohort of the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct case-cohort study across eight European countries. Using linear regression in 15,919 subcohort members, adjusted for potential confounders and corrected for multiple testing, we examined cross-sectional associations of SFAs with 13 metabolic markers. Multiplicative interactions of the three SFA groups with pre-specified factors, including body mass index (BMI) and alcohol consumption, were tested. Results: Higher levels of odd-chain SFA group were associated with lower levels of major lipids (total cholesterol (TC), triglycerides, apolipoprotein A-1 (ApoA1), apolipoprotein B (ApoB)) and hepatic markers (alanine transaminase (ALT), aspartate transaminase (AST), gamma-glutamyl transferase (GGT)). Higher even-chain SFA group levels were associated with higher levels of low-density lipoprotein cholesterol (LDL-C), TC/high-density lipoprotein cholesterol (HDL-C) ratio, triglycerides, ApoB, ApoB/A1 ratio, ALT, AST, GGT and CRP, and lower levels of HDL-C and ApoA1. Very-long-chain SFA group levels showed inverse associations with triglycerides, ApoA1 and GGT, and positive associations with TC, LDL-C, TC/HDL-C, ApoB and ApoB/A1. Associations were generally stronger at higher levels of BMI or alcohol consumption. Conclusions: Subtypes of SFAs are associated in a differential way with metabolic markers of lipid metabolism, liver function and chronic inflammation, suggesting that odd-chain SFAs are associated with lower metabolic risk and even-chain SFAs with adverse metabolic risk, whereas mixed findings were obtained for very-long-chain SFAs. The clinical and biochemical implications of these findings may vary by adiposity and alcohol intake.
Note: Reproducció del document publicat a: https://doi.org/10.1186/s12916-017-0968-4
It is part of: BMC Medicine, 2017, vol. 15, num. 203
URI: http://hdl.handle.net/2445/124231
Related resource: https://doi.org/10.1186/s12916-017-0968-4
Appears in Collections:Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

Files in This Item:
File Description SizeFormat 
ZhengJS.pdf981.47 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons