Association of body mass index with fecal microbial diversity and metabolites in the northern Finland birth cohort
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Accepted version
Accepted version
Author(s)
Type
Journal Article
Abstract
Background: Obesity is an established risk factor for multiple cancer types. Lower microbial richness has been linked to obesity, but human studies are inconsistent, and associations of early-life body mass index (BMI) with the fecal microbiome and metabolome are unknown.
Methods: We characterized the fecal microbiome (n = 563) and metabolome (n = 340) in the Northern Finland Birth Cohort 1966 using 16S rRNA gene sequencing and untargeted metabolomics. We estimated associations of adult BMI and BMI history with microbial features and metabolites using linear regression and Spearman correlations (rs) and computed correlations between bacterial sequence variants and metabolites overall and by BMI category.
Results: Microbial richness, including the number of sequence variants (rs = −0.21, P < 0.0001), decreased with increasing adult BMI but was not independently associated with BMI history. Adult BMI was associated with 56 metabolites but no bacterial genera. Significant correlations were observed between microbes in 5 bacterial phyla, including 18 bacterial genera, and metabolites in 49 of the 62 metabolic pathways evaluated. The genera with the strongest correlations with relative metabolite levels (positively and negatively) were Blautia, Oscillospira, and Ruminococcus in the Firmicutes phylum, but associations varied by adult BMI category.
Conclusions: BMI is strongly related to fecal metabolite levels, and numerous associations between fecal microbial features and metabolite levels underscore the dynamic role of the gut microbiota in metabolism.
Impact: Characterizing the associations between the fecal microbiome, the fecal metabolome, and BMI, both recent and early-life exposures, provides critical background information for future research on cancer prevention and etiology.
Methods: We characterized the fecal microbiome (n = 563) and metabolome (n = 340) in the Northern Finland Birth Cohort 1966 using 16S rRNA gene sequencing and untargeted metabolomics. We estimated associations of adult BMI and BMI history with microbial features and metabolites using linear regression and Spearman correlations (rs) and computed correlations between bacterial sequence variants and metabolites overall and by BMI category.
Results: Microbial richness, including the number of sequence variants (rs = −0.21, P < 0.0001), decreased with increasing adult BMI but was not independently associated with BMI history. Adult BMI was associated with 56 metabolites but no bacterial genera. Significant correlations were observed between microbes in 5 bacterial phyla, including 18 bacterial genera, and metabolites in 49 of the 62 metabolic pathways evaluated. The genera with the strongest correlations with relative metabolite levels (positively and negatively) were Blautia, Oscillospira, and Ruminococcus in the Firmicutes phylum, but associations varied by adult BMI category.
Conclusions: BMI is strongly related to fecal metabolite levels, and numerous associations between fecal microbial features and metabolite levels underscore the dynamic role of the gut microbiota in metabolism.
Impact: Characterizing the associations between the fecal microbiome, the fecal metabolome, and BMI, both recent and early-life exposures, provides critical background information for future research on cancer prevention and etiology.
Date Issued
2020-11-01
Date Acceptance
2020-08-18
Citation
Cancer Epidemiology, Biomarkers and Prevention, 2020, 29 (11), pp.2289-2299
ISSN
1055-9965
Publisher
American Association for Cancer Research
Start Page
2289
End Page
2299
Journal / Book Title
Cancer Epidemiology, Biomarkers and Prevention
Volume
29
Issue
11
Copyright Statement
©2020 American Association for Cancer Research.
Sponsor
UNIVERSITY OF OULU
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000585070300024&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
Nil
Subjects
Science & Technology
Life Sciences & Biomedicine
Oncology
Public, Environmental & Occupational Health
GUT MICROBIOME
INTESTINAL MICROBIOTA
INSULIN SENSITIVITY
OBESITY
CANCER
PERFORMANCE
SERUM
METABOLOMICS
CONTRIBUTES
COMPLEMENT
Publication Status
Published
Date Publish Online
2020-08-27