Unraveling the intricate physiological processes dysregulated in CHD-affected and Dan-Lou tablet-treated individuals

Ankur Datta1, Neethu George1, Tejaswini Koppolu1

  • 1Laboratory of Integrative Genomics, Department of Integrative Biology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu 632014, India.

Insights

This study identifies key gene expression patterns in coronary heart disease (CHD) patients. ARF6 and STAT5B genes are implicated in myeloid cell apoptosis and cellular regulation, offering potential for targeted therapies.

Area of Science:

  • Cardiovascular Biology
  • Bioinformatics
  • Molecular Genetics

Background:

  • Coronary heart disease (CHD) is a major global health issue driven by atherosclerosis, leading to severe cardiac complications.
  • Effective CHD management requires understanding its multifactorial nature, including genetic predispositions and treatment responses.
  • Identifying molecular biomarkers is crucial for developing targeted therapeutic strategies for CHD.

Purpose of the Study:

  • To identify molecular biomarkers for coronary heart disease (CHD) by analyzing gene expression profiles.
  • To investigate the impact of Dan-Lou tablet treatment on gene expression in CHD patients.
  • To explore the functional roles of differentially expressed genes (DEGs) in CHD pathogenesis.

Main Methods:

  • Utilized GEO2R for analyzing gene expression data from 24 samples: 8 untreated CHD, 8 treated CHD, and 8 healthy controls.
  • Employed bioinformatics tools such as Cytoscape, MCODE, clusterProfiler, and ClueGO for network and functional analysis of DEGs.
  • Performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis on identified DEGs.

Main Results:

  • Identified 182 DEGs in untreated CHD patients and 174 DEGs in treated CHD patients.
  • Discovered ARF6 gene dysregulation associated with myeloid cell apoptosis and actin cytoskeleton regulation.
  • Found STAT5B gene differential expression linked to myeloid cell apoptosis and erythrocyte differentiation.

Conclusions:

  • ARF6 and STAT5B are potential molecular biomarkers for CHD, involved in critical cellular processes.
  • Gene expression profiling can reveal therapeutic targets for CHD.
  • Personalized medicine approaches based on individual gene expression profiles hold promise for future CHD treatment.

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