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Relationships between gut microbiota, plasma metabolites, and metabolic syndrome traits in the METSIM cohort

Authors :
Elin Org
Yuna Blum
Silva Kasela
Margarete Mehrabian
Johanna Kuusisto
Antti J. Kangas
Pasi Soininen
Zeneng Wang
Mika Ala-Korpela
Stanley L. Hazen
Markku Laakso
Aldons J. Lusis
Source :
Genome Biology, Vol 18, Iss 1, Pp 1-14 (2017)
Publication Year :
2017
Publisher :
BMC, 2017.

Abstract

Abstract Background The gut microbiome is a complex and metabolically active community that directly influences host phenotypes. In this study, we profile gut microbiota using 16S rRNA gene sequencing in 531 well-phenotyped Finnish men from the Metabolic Syndrome In Men (METSIM) study. Results We investigate gut microbiota relationships with a variety of factors that have an impact on the development of metabolic and cardiovascular traits. We identify novel associations between gut microbiota and fasting serum levels of a number of metabolites, including fatty acids, amino acids, lipids, and glucose. In particular, we detect associations with fasting plasma trimethylamine N-oxide (TMAO) levels, a gut microbiota-dependent metabolite associated with coronary artery disease and stroke. We further investigate the gut microbiota composition and microbiota–metabolite relationships in subjects with different body mass index and individuals with normal or altered oral glucose tolerance. Finally, we perform microbiota co-occurrence network analysis, which shows that certain metabolites strongly correlate with microbial community structure and that some of these correlations are specific for the pre-diabetic state. Conclusions Our study identifies novel relationships between the composition of the gut microbiota and circulating metabolites and provides a resource for future studies to understand host–gut microbiota relationships.

Details

Language :
English
ISSN :
1474760X
Volume :
18
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Genome Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.fc80a642076f4a0f80f792cfd6e0c82c
Document Type :
article
Full Text :
https://doi.org/10.1186/s13059-017-1194-2