Potential Genes and Mechanisms Linking Intracerebral Hemorrhage and Depression: A Bioinformatics-Based Study

Cuihua Zou1,2, Xiaohua Huang1,2, Xuequn Lan1

  • 1Department of Neurology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, People's Republic of China.

Insights

This study identified key genes and pathways involved in post-intracerebral hemorrhage depression. These findings offer insights into the mechanisms of depression following brain hemorrhage.

Area of Science:

  • Neuroscience
  • Genomics
  • Bioinformatics

Background:

  • Depression following intracerebral hemorrhage (ICH) is a significant clinical concern.
  • The underlying pathogenic mechanisms of post-ICH depression remain incompletely understood.

Purpose of the Study:

  • To investigate the potential pathogenic mechanisms of post-intracerebral hemorrhage depression.
  • To identify key genes and pathways associated with the co-occurrence of ICH and depression.

Main Methods:

  • Utilized Gene Expression Omnibus (GEO) database for gene expression profiles of ICH and depression.
  • Performed differential gene expression (DEG) analysis, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis.
  • Conducted cross-talk analysis and integrated bridge landscape analysis to identify hub bridge genes.

Main Results:

  • Identified 131 DEGs common to ICH and depression.
  • Discovered 55 GO terms and KEGG pathways related to interacting genes, with 10 each significantly associated with cross-talk.
  • Identified 20 hub bridge genes, including HLA-A, HMOX1, and JUN, potentially involved in immune mediation, cell adhesion, and neurotransmitter pathways.

Conclusions:

  • Bioinformatics analysis revealed potential hub bridge genes and pathways implicated in post-ICH depression.
  • The findings provide a foundation for future research into the pathogenesis of post-ICH depression.
Abstract

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