Integrative omics analysis identifies biomarkers of septic cardiomyopathy

PLoS One. 2024 Nov 15;19(11):e0310412. doi: 10.1371/journal.pone.0310412. eCollection 2024.

Abstract

Septic Cardiomyopathy (SCM) is a syndrome of acute cardiac dysfunction in septic patients, unrelated to cardiac ischemia. Multiomics studies including transcriptomics and proteomics have provided new insights into the mechanisms of SCM. In here, a rat model of SCM was established by intraperitoneal injection of lipopolysaccharide (LPS). Biomarkers of SCM were characterized via a multi-omics analysis. The differentially expressed (DE) mRNAs predominantly appeared in pathways linked to the immune response, inflammatory response, and the complement and coagulation cascades, while DE proteins were mainly enriched in pathways associated with the complement and coagulation cascades. On this basis, the integrated analysis was performed between transcriptome and proteome. The potential biomarkers were further verified by RT-qPCR and WB. The current proteotranscriptomic research has furnished a valuable dataset and fresh perspectives that will enhance our comprehension of the development of SCM. This, in turn, is expected to expedite the formulation of novel approaches for the prevention and management of SCM in patients.

MeSH terms

  • Animals
  • Biomarkers* / metabolism
  • Cardiomyopathies* / genetics
  • Cardiomyopathies* / metabolism
  • Disease Models, Animal
  • Gene Expression Profiling
  • Lipopolysaccharides
  • Male
  • Multiomics
  • Proteome
  • Proteomics / methods
  • Rats
  • Rats, Sprague-Dawley
  • Sepsis* / genetics
  • Sepsis* / metabolism
  • Transcriptome

Substances

  • Biomarkers
  • Lipopolysaccharides
  • Proteome

Grants and funding

This work is supported by the Fujian Provincial Financial Health and Health Provincial Special Subsidy Funds (grant number: BPB-2022 FSD and BPB-FSD2021). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.