Integrative multi-omics analysis of metabolite–protein interaction networks across different stages of coronary heart disease

Nature作者:Xilun Tan2026年8月12日正文已收录本站
  • Article
  • Open access
  • Published:
  • Yuanxiaoxue Gao1 na1,
  • Jia Wang1,
  • Xuesen Wang1,
  • Yishuang Pan1,
  • Mingyu Chen1,
  • Meili Gao1,
  • Ming Zhang1,
  • Chenhao Zhang1 &
  • …
  • Pinsheng Ding1 

Scientific Reports (2026) Cite this article

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Abstract

To elucidate the molecular characteristics of synergistic interactions across the clinical stages of coronary heart disease (CHD)—specifically stable angina pectoris (SAP), unstable angina pectoris (UAP), and acute myocardial infarction (AMI)—through integrated metabolomic and proteomic analyses. Based on a cohort including SAP, UAP, AMI, and healthy controls, metabolomic and proteomic analyses were performed to identify differentially expressed molecules, followed by KEGG pathway enrichment analysis. Pathways co-enriched across both omics platforms were selected to construct metabolite-protein interaction networks. The number of pathways co-enriched in both metabolomic and proteomic analyses increased markedly with disease stage. Only two pathways (histidine metabolism and arginine and proline metabolism) were identified in the SAP stage; this number increased to five in the UAP stage (including ferroptosis and efferocytosis) and expanded to 25 in the AMI stage, encompassing three major functional modules: immune inflammation, metabolic reprogramming, and cell signaling. The core network exhibited a stepwise increase in connectivity, shifting from a sparse structure in the SAP stage to a highly interconnected architecture in the AMI stage, with L-glutamate and KNG1 identified as the central hubs in this cross-sectional network. In addition, CNDP1 exhibited a stage-dependent functional transition, shifting from downregulation in SAP to upregulation in AMI. In this cross-sectional analysis, metabolic dysregulation and immune activation exhibited stepwise increases in interconnectivity across the SAP, UAP, and AMI groups, with the most extensive crosstalk observed in the AMI stage—a network configuration consistent with a tightly coupled “molecular storm”. These findings provide novel insights into stage-associated molecular signatures of CHD and identify candidate hub molecules for stage-oriented therapeutic investigation.

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Acknowledgements

The authors acknowledge the support of the Foundation.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Capital’s Funds for Health Improvement and Research (Grant Number: 2026-2-4164), the Scientific and Technological Innovation Project of China Academy of Chinese Medical Sciences (Grant Number: CI2026A00907), the Capital’s Funds for Health Improvement and Research (Grant Number: 2022-1-4161) and the Scientific and Technological Innovation Project of China Academy of Chinese Medical Sciences (Grant Number: CI2021A02903).

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Author notes

  1. Xilun Tan and Yuanxiaoxue Gao contributed equally to this work.

Authors and Affiliations

  1. Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China

    Xilun Tan, Yuanxiaoxue Gao, Jia Wang, Xuesen Wang, Yishuang Pan, Mingyu Chen, Meili Gao, Ming Zhang, Chenhao Zhang & Pinsheng Ding

Authors

  1. Xilun Tan
  2. Yuanxiaoxue Gao
  3. Jia Wang
  4. Xuesen Wang
  5. Yishuang Pan
  6. Mingyu Chen
  7. Meili Gao
  8. Ming Zhang
  9. Chenhao Zhang
  10. Pinsheng Ding

Corresponding authors

Correspondence to Chenhao Zhang or Pinsheng Ding.

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Competing interests

The authors declare no competing interests.

Ethical approval

The study complied with the Declaration of Helsinki and obtained ethical approval from the Wangjing Hospital of China Academy of Chinese Medical Sciences (Registration No. WJEC-KT-2022-031-P001).

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Cite this article

Tan, X., Gao, Y., Wang, J. et al. Integrative multi-omics analysis of metabolite–protein interaction networks across different stages of coronary heart disease. Sci Rep (2026). https://doi.org/10.1038/s41598-026-66673-0

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  • DOI: https://doi.org/10.1038/s41598-026-66673-0