Identification of biomarkers, pathways, and potential therapeutic targets for heart failure using next-generation

Prashanth Ganekal1, Basavaraj Vastrad2, Chanabasayya Vastrad3

  • 1Department of General Medicine, Basaveshwara Medical College, Chitradurga, India.

Insights

Researchers identified 10 key genes as potential biomarkers for heart failure (HF) diagnosis and treatment. This study offers new insights into HF, but further research is needed to confirm the functional roles of these identified genes.

Area of Science:

  • Cardiovascular Diseases
  • Molecular Biology
  • Genomics

Background:

  • Heart failure (HF) is a prevalent cardiovascular disease and a leading cause of related deaths.
  • Despite advances, novel biomarkers for HF prognosis and therapy are urgently needed.
  • This study aimed to identify potential biomarkers for HF diagnosis and treatment.

Purpose of the Study:

  • To identify novel biomarkers for heart failure (HF) diagnosis and treatment.
  • To evaluate the diagnostic effectiveness of identified hub genes using ROC curve analysis.

Main Methods:

  • Utilized next-generation sequencing (NGS) data (GSE161472) to identify differentially expressed genes (DEGs) between HF and normal samples.
  • Performed Gene Ontology (GO) and pathway enrichment analyses, constructed protein-protein interaction (PPI) and regulatory gene networks.
  • Selected 10 hub genes based on integrated network analyses and predicted diagnostic effectiveness via ROC curve analysis.

Main Results:

  • Identified 930 DEGs (464 upregulated, 466 downregulated) in HF patients.
  • Enrichment analyses revealed DEGs involved in localization, metabolic processes, and the citric acid cycle.
  • Selected 10 hub genes, including HSP90AA1, ARRB2, MYH9, HSP90AB1, FLNA, EGFR, PIK3R1, CUL4A, YEATS4, and KAT2B.

Conclusions:

  • The identified hub genes may offer novel insights for HF diagnosis and treatment.
  • Further experimental validation is required to elucidate the functional roles of these genes in HF pathogenesis.
Abstract

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