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

Author

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  • Kui Deng

    (Sun Yat-sen University
    Westlake Laboratory of Life Sciences and Biomedicine
    Westlake University
    Westlake Institute for Advanced Study)

  • Jin-jian Xu

    (Sun Yat-sen University)

  • Luqi Shen

    (Westlake Laboratory of Life Sciences and Biomedicine
    Westlake University
    Westlake Institute for Advanced Study)

  • Hui Zhao

    (Westlake Laboratory of Life Sciences and Biomedicine
    Westlake University
    Westlake Institute for Advanced Study)

  • Wanglong Gou

    (Westlake Laboratory of Life Sciences and Biomedicine
    Westlake University
    Westlake Institute for Advanced Study)

  • Fengzhe Xu

    (Westlake Laboratory of Life Sciences and Biomedicine
    Westlake University
    Westlake Institute for Advanced Study)

  • Yuanqing Fu

    (Westlake Laboratory of Life Sciences and Biomedicine
    Westlake University
    Westlake Institute for Advanced Study)

  • Zengliang Jiang

    (Westlake Laboratory of Life Sciences and Biomedicine
    Westlake University
    Westlake Institute for Advanced Study)

  • Menglei Shuai

    (Westlake Laboratory of Life Sciences and Biomedicine
    Westlake University
    Westlake Institute for Advanced Study)

  • Bang-yan Li

    (Sun Yat-sen University)

  • Wei Hu

    (Sun Yat-sen University)

  • Ju-Sheng Zheng

    (Westlake Laboratory of Life Sciences and Biomedicine
    Westlake University
    Westlake Institute for Advanced Study)

  • Yu-ming Chen

    (Sun Yat-sen University)

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.

Suggested Citation

  • 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 & Yu-ming Chen, 2023. "Comparison of fecal and blood metabolome reveals inconsistent associations of the gut microbiota with cardiometabolic diseases," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36256-y
    DOI: 10.1038/s41467-023-36256-y
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    References listed on IDEAS

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    1. Noam Bar & Tal Korem & Omer Weissbrod & David Zeevi & Daphna Rothschild & Sigal Leviatan & Noa Kosower & Maya Lotan-Pompan & Adina Weinberger & Caroline I. Roy & Cristina Menni & Alessia Visconti & Ma, 2020. "A reference map of potential determinants for the human serum metabolome," Nature, Nature, vol. 588(7836), pages 135-140, December.
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    Cited by:

    1. Efrat Muller & Itamar Shiryan & Elhanan Borenstein, 2024. "Multi-omic integration of microbiome data for identifying disease-associated modules," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

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