Comparison of fecal and blood metabolome reveals inconsistent associations of the gut microbiota with cardiometabolic diseases

Kui Deng, Jin-jian Xu, Luqi Shen, Hui Zhao, Wanglong Gou, Fengzhe Xu, Yuanqing Fu, Zengliang Jiang, Menglei Shuai, Bang-yan Li, Wei Hu, Ju-Sheng Zheng () and Yu-ming Chen ()
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Kui Deng: Sun Yat-sen University
Jin-jian Xu: Sun Yat-sen University
Luqi Shen: Westlake Laboratory of Life Sciences and Biomedicine
Hui Zhao: Westlake Laboratory of Life Sciences and Biomedicine
Wanglong Gou: Westlake Laboratory of Life Sciences and Biomedicine
Fengzhe Xu: Westlake Laboratory of Life Sciences and Biomedicine
Yuanqing Fu: Westlake Laboratory of Life Sciences and Biomedicine
Zengliang Jiang: Westlake Laboratory of Life Sciences and Biomedicine
Menglei Shuai: Westlake Laboratory of Life Sciences and Biomedicine
Bang-yan Li: Sun Yat-sen University
Wei Hu: Sun Yat-sen University
Ju-Sheng Zheng: Westlake Laboratory of Life Sciences and Biomedicine
Yu-ming Chen: Sun Yat-sen University

Nature Communications, 2023, vol. 14, issue 1, 1-12

Abstract: Abstract Blood metabolome is commonly used in human studies to explore the associations of gut microbiota-derived metabolites with cardiometabolic diseases. Here, in a cohort of 1007 middle-aged and elderly adults with matched fecal metagenomic (149 species and 214 pathways) and paired fecal and blood targeted metabolomics data (132 metabolites), we find disparate associations with taxonomic composition and microbial pathways when using fecal or blood metabolites. For example, we observe that fecal, but not blood butyric acid significantly associates with both gut microbiota and prevalent type 2 diabetes. These findings are replicated in an independent validation cohort involving 103 adults. Our results suggest that caution should be taken when inferring microbiome-cardiometabolic disease associations from either blood or fecal metabolome data.

Date: 2023
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DOI: 10.1038/s41467-023-36256-y

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