Integrative multi-omics analysis identifies a robust 14-metabolite signature and reveals microbiome–metabolite–host interactions in atherosclerosis - Takeaways - MDSpire

Integrative multi-omics analysis identifies a robust 14-metabolite signature and reveals microbiome–metabolite–host interactions in atherosclerosis

  • By

  • Leiyang Dai

  • Xiao Wang

  • Hui Zhang

  • Rong Gong

  • Jianli Pang

  • Junxi Pan

  • Qiuyue Xu

  • Yong Duan

  • June 8, 2026

  • 0 min

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  • 1

    A total of 122 differential metabolites were identified in atherosclerosis patients compared to healthy controls, primarily in amino acid metabolism.

  • 2

    A robust panel of 14 overlapping metabolites was revealed through machine learning, with Trimethylamine N-oxide showing the highest diagnostic potential.

  • 3

    Despite limited differences in gut microbiota composition, significant correlations between specific microbial genera and metabolites were observed.

  • 4

    Elevated senescence markers P16 and P21 were associated with key metabolites and microbial taxa in atherosclerosis patients.

  • 5

    The study highlights a coordinated microbiome–metabolite–host interaction network, providing insights into atherosclerosis mechanisms and potential biomarkers.

Original Source(s)

Integrative multi-omics analysis identifies a robust 14-metabolite signature and reveals microbiome–metabolite–host interactions in atherosclerosis

  • by Leiyang Dai, Xiao Wang, Hui Zhang, Rong Gong, Jianli Pang, Junxi Pan, Qiuyue Xu, Yong Duan

  • June 8, 2026

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