Org, E., Blum, Y., Kasela, S., Mehrabian, M., Kuusisto, J., Kangas, A. J., … Lusis, A. J. (2017). Relationships between gut microbiota, plasma metabolites, and metabolic syndrome traits in the METSIM cohort. Genome Biology, 18(1). https://doi.org/10.1186/s13059-017-1194-2
Relationships between gut microbiota, plasma metabolites, and metabolic syndrome traits in the METSIM cohort
|Author:||Org, Elin1,2; Blum, Yuna1; Kasela, Silva2,3;|
1Department of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
2Estonian Genome Centre, University of Tartu, Tartu, 51010, Estonia
3Institute of Molecular and Cell Biology, University of Tartu, Tartu, 51010, Estonia
4Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
5Kuopio University Hospital, Kuopio, Finland
6 Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland
7Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland
8NMR metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
9Department of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, OH, 44195, USA
10Computational Medicine, School of Social and Community Medicine, University of Bristol and Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
11 Department of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, OH, 44195, USA
12Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, 90095, USA
13Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, 90095, USA
|Online Access:||PDF Full Text (PDF, 2.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019081424130
|Publish Date:|| 2019-08-14
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.
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
3121 General medicine, internal medicine and other clinical medicine
This work was supported by National Institutes of Health (NIH) grants HL028481, HL30568, and DK094311 to AJL. EO was supported by FP7-MC-IOF grant number 330381. The serum NMR metabolomics platform has been supported by the Sigrid Juselius Foundation and the Strategic Research Funding from the University of Oulu. MAK works in a Unit that is supported by the University of Bristol and UK Medical Research Council (MC_UU_1201/1).
© The Author(s). 2017. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.