Multi-omics integration to identify the genetic expression and protein signature of dilated and ischemic

Konstantina Portokallidou1,2, Nikolas Dovrolis1,2, Georgia Ragia1,2

  • 1Laboratory of Pharmacology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece.

Insights

This study identified gene and protein signatures for dilated cardiomyopathy (DCM) and ischemic cardiomyopathy (ICM). These signatures reveal shared and distinct molecular pathways, offering potential diagnostic biomarkers and therapeutic targets for heart failure (HF).

Area of Science:

  • Cardiology
  • Genomics
  • Proteomics
  • Bioinformatics

Background:

  • Heart failure (HF) is a major cause of morbidity.
  • Dilated cardiomyopathy (DCM) and ischemic cardiomyopathy (ICM) are key HF subtypes.
  • Understanding their molecular signatures is crucial for targeted therapies.

Purpose of the Study:

  • To identify distinct gene expression and protein signatures for DCM and ICM.
  • To characterize the molecular pathways underlying these HF subtypes.
  • To uncover potential diagnostic biomarkers and therapeutic targets for HF.

Main Methods:

  • Utilized omics data from public repositories (GEO and PRIDE).
  • Applied a multilayered bioinformatics approach to analyze transcriptomic and proteomic datasets.
  • Performed enrichment analysis and constructed protein-protein interaction networks.

Main Results:

  • Identified 10 differentially expressed genes/proteins in DCM (DiSig) and 15 in ICM (IsSig).
  • Common pathways include extracellular matrix organization and cellular response to stress.
  • Distinct pathways involve muscle tissue development (DCM) and immune cell activation (ICM).

Conclusions:

  • The study provides molecular insights into HF etiopathology, highlighting similarities and differences between DCM and ICM.
  • The identified DiSig and IsSig signatures offer cross-validated targets at both transcriptomic and proteomic levels.
  • These signatures represent promising novel pharmacological targets and diagnostic biomarkers for HF.
Abstract

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