Serum metabolomic profiling highlights pathways associated with liver fat content in a general population sample View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-08

AUTHORS

M Koch, S Freitag-Wolf, S Schlesinger, J Borggrefe, J R Hov, M K Jensen, J Pick, M R P Markus, T Höpfner, G Jacobs, S Siegert, A Artati, G Kastenmüller, W Römisch-Margl, J Adamski, T Illig, M Nothnagel, T H Karlsen, S Schreiber, A Franke, M Krawczak, U Nöthlings, W Lieb

ABSTRACT

BACKGROUND/OBJECTIVES: Fatty liver disease (FLD) is an important intermediate trait along the cardiometabolic disease spectrum and strongly associates with type 2 diabetes. Knowledge of biological pathways implicated in FLD is limited. An untargeted metabolomic approach might unravel novel pathways related to FLD. SUBJECTS/METHODS: In a population-based sample (n=555) from Northern Germany, liver fat content was quantified as liver signal intensity using magnetic resonance imaging. Serum metabolites were determined using a non-targeted approach. Partial least squares regression was applied to derive a metabolomic score, explaining variation in serum metabolites and liver signal intensity. Associations of the metabolomic score with liver signal intensity and FLD were investigated in multivariable-adjusted robust linear and logistic regression models, respectively. Metabolites with a variable importance in the projection >1 were entered in in silico overrepresentation and pathway analyses. RESULTS: In univariate analysis, the metabolomics score explained 23.9% variation in liver signal intensity. A 1-unit increment in the metabolomic score was positively associated with FLD (n=219; odds ratio: 1.36; 95% confidence interval: 1.27-1.45) adjusting for age, sex, education, smoking and physical activity. A simplified score based on the 15 metabolites with highest variable importance in the projection statistic showed similar associations. Overrepresentation and pathway analyses highlighted branched-chain amino acids and derived gamma-glutamyl dipeptides as significant correlates of FLD. CONCLUSIONS: A serum metabolomic profile was associated with FLD and liver fat content. We identified a simplified metabolomics score, which should be evaluated in prospective studies. More... »

PAGES

995

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/ejcn.2017.43

DOI

http://dx.doi.org/10.1038/ejcn.2017.43

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084514112

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28378853


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