Topographical body fat distribution links to amino acid and lipid metabolism in healthy non-obese women.

Détails

Ressource 1Télécharger: BIB_621BD3187263.P001.pdf (3192.84 [Ko])
Etat: Public
Version: de l'auteur
ID Serval
serval:BIB_621BD3187263
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Topographical body fat distribution links to amino acid and lipid metabolism in healthy non-obese women.
Périodique
Plos One
Auteur(s)
Martin F.P., Montoliu I., Collino S., Scherer M., Guy P., Tavazzi I., Thorimbert A., Moco S., Rothney M.P., Ergun D.L., Beaumont M., Ginty F., Qanadli S.D., Favre L., Giusti V., Rezzi S.
ISSN
1932-6203 (Electronic)
ISSN-L
1932-6203
Statut éditorial
Publié
Date de publication
2013
Volume
8
Numéro
9
Pages
e73445
Langue
anglais
Notes
Publication types: Journal ArticlePublication Status: epublish
Résumé
Visceral adiposity is increasingly recognized as a key condition for the development of obesity related disorders, with the ratio between visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) reported as the best correlate of cardiometabolic risk. In this study, using a cohort of 40 obese females (age: 25-45 y, BMI: 28-40 kg/m(2)) under healthy clinical conditions and monitored over a 2 weeks period we examined the relationships between different body composition parameters, estimates of visceral adiposity and blood/urine metabolic profiles. Metabonomics and lipidomics analysis of blood plasma and urine were employed in combination with in vivo quantitation of body composition and abdominal fat distribution using iDXA and computerized tomography. Of the various visceral fat estimates, VAT/SAT and VAT/total abdominal fat ratios exhibited significant associations with regio-specific body lean and fat composition. The integration of these visceral fat estimates with metabolic profiles of blood and urine described a distinct amino acid, diacyl and ether phospholipid phenotype in women with higher visceral fat. Metabolites important in predicting visceral fat adiposity as assessed by Random forest analysis highlighted 7 most robust markers, including tyrosine, glutamine, PC-O 44∶6, PC-O 44∶4, PC-O 42∶4, PC-O 40∶4, and PC-O 40∶3 lipid species. Unexpectedly, the visceral fat associated inflammatory profiles were shown to be highly influenced by inter-days and between-subject variations. Nevertheless, the visceral fat associated amino acid and lipid signature is proposed to be further validated for future patient stratification and cardiometabolic health diagnostics.
Pubmed
Web of science
Open Access
Oui
Création de la notice
15/12/2013 16:58
Dernière modification de la notice
20/08/2019 15:19
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