Integrative multi-omics analysis identifies a robust 14-metabolite signature and reveals microbiome–metabolite–host interactions in atherosclerosis - Scorecard - 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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Clinical Scorecard: Comprehensive Multi-Omics Investigation Uncovers a Distinct 14-Metabolite Profile and Elucidates Interactions Among Microbiome, Metabolites, and Host in Atherosclerosis

At a Glance

CategoryDetail
Condition
Key MechanismsInteractions between host metabolism, gut microbiota, and cellular senescence.
Target Population
Care Setting

Key Highlights

  • Integration of machine learning methods for robust biomarker identification.

Guideline-Based Recommendations

Diagnosis

    Management

      Monitoring & Follow-up

        Risks

          Patient & Prescribing Data

          Individuals diagnosed with Atherosclerosis.

          Focus on metabolic dysregulation and microbiome interactions.

          Clinical Best Practices

          • Emphasize the role of senescence markers in metabolic profile assessments.

          Related Resources & Content

          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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