EBioMedicine (Jul 2024)

Mapping the gut microecological multi-omics signatures to serum metabolome and their impact on cardiometabolic health in elderly adultsResearch in context

  • Chu-wen Ling,
  • Kui Deng,
  • Yingdi Yang,
  • Hong-rou Lin,
  • Chun-ying Liu,
  • Bang-yan Li,
  • Wei Hu,
  • Xinxiu Liang,
  • Hui Zhao,
  • Xin-yi Tang,
  • Ju-Sheng Zheng,
  • Yu-ming Chen

Journal volume & issue
Vol. 105
p. 105209

Abstract

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Summary: Background: Mapping gut microecological features to serum metabolites (SMs) will help identify functional links between gut microbiome and cardiometabolic health. Methods: This study encompassed 836-1021 adults over 9.7 year in a cohort, assessing metabolic syndrome (MS), carotid atherosclerotic plaque (CAP), and other metadata triennially. We analyzed mid-term microbial metagenomics, targeted fecal and serum metabolomics, host genetics, and serum proteomics. Findings: Gut microbiota and metabolites (GMM) accounted for 15.1% overall variance in 168 SMs, with individual GMM factors explaining 5.65%–10.1%, host genetics 3.23%, and sociodemographic factors 5.95%. Specifically, GMM elucidated 5.5%–49.6% variance in the top 32 GMM-explained SMs. Each 20% increase in the 32 metabolite score (derived from the 32 SMs) correlated with 73% (95% confidence interval [CI]: 53%–95%) and 19% (95% CI: 11%–27%) increases in MS and CAP incidences, respectively. Among the 32 GMM-explained SMs, sebacic acid, indoleacetic acid, and eicosapentaenoic acid were linked to MS or CAP incidence. Serum proteomics revealed certain proteins, particularly the apolipoprotein family, mediated the relationship between GMM-SMs and cardiometabolic risks. Interpretation: This study reveals the significant influence of GMM on SM profiles and illustrates the intricate connections between GMM-explained SMs, serum proteins, and the incidence of MS and CAP, providing insights into the roles of gut dysbiosis in cardiometabolic health via regulating blood metabolites. Funding: This study was jointly supported by the National Natural Science Foundation of China, Key Research and Development Program of Guangzhou, 5010 Program for Clinical Research of Sun Yat-sen University, and the ‘Pioneer' and ‘Leading goose' R&D Program of Zhejiang.

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