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Plasma metabolome analysis identifies distinct human metabotypes in the postprandial state with different susceptibility to weight loss-mediated metabolic improvements.

Authors :
Fiamoncini, Jarlei
Rundle, Milena
Gibbons, Helena
Thomas, E. Louise
Geillinger-Kästle, Kerstin
Bunzel, Diana
Trezzi, Jean-Pierre
Kiselova-Kaneva, Yoana
Wopereis, Suzan
Wahrheit, Judith
Kulling, Sabine E.
Hiller, Karsten
Sonntag, Denise
Ivanova, Diana
van Ommen, Ben
Frost, Gary
Brennan, Lorraine
Bell, Jimmy
Daniel, Hannelore
Source :
FASEB Journal. Oct2018, Vol. 32 Issue 10, p5447-5458. 2p.
Publication Year :
2018

Abstract

Health has been defined as the capability of the organism to adapt to challenges. In this study, we tested to what extent comprehensively phenotyped individuals reveal differences in metabolic responses to a standardized mixed meal tolerance test (MMTT) and how these responses change when individuals experience moderate weight loss. Metabolome analysis was used in 70 healthy individuals. with profiling of ~300 plasma metabolites during an MMTT over 8 h. Multivariate analysis of plasma markers of fatty acid catabolism identified 2 distinct metabotype clusters (A and B). Individuals from metabotype B showed slower glucose clearance, had increased intra-abdominal adipose tissue mass and higher hepatic lipid levels when compared with individuals from metabotype A. An NMR-based urine analysis revealed that these individuals also to have a less healthy dietary pattern. After a weight loss of ~5.6 kg over 12 wk, only the subjects from metabotype B showed positive changes in the glycemic response during the MMTT and in markers of metabolic diseases. Our study in healthy individuals demonstrates that more comprehensive phenotyping can reveal discrete metabotypes with different outcomes in a dietary intervention and that markers of lipid catabolism in plasma could allow early detection of the metabolic syndrome. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08926638
Volume :
32
Issue :
10
Database :
Academic Search Index
Journal :
FASEB Journal
Publication Type :
Academic Journal
Accession number :
132046518
Full Text :
https://doi.org/10.1096/fj.201800330R