Bioinformatics-based discovery of biomarkers and immunoinflammatory targets in children with cerebral palsy: An

Bo Chen1,2, Ling Wang3, Dongke Xie4,5

  • 1Department of Rehabilitation, The Affiliated Hospital of Southwest Medical University, Southwest Medical University, Luzhou, China.

Medicine
|April 19, 2024
PubMed

Insights

This study used bioinformatics to find key signaling pathways in cerebral palsy (CP). It identified immune and nervous system pathways, highlighting their role in CP development and progression.

Area of Science:

  • Neuroscience
  • Genetics
  • Immunology

Background:

  • Cerebral palsy (CP) is a common childhood disability characterized by motor dysfunction.
  • While risk factors are known, the underlying molecular mechanisms of CP remain unclear.
  • Intrauterine inflammation and infection are implicated in fetal brain damage leading to CP.

Purpose of the Study:

  • To identify key biomarker-related signaling pathways in cerebral palsy (CP) using bioinformatics.
  • To elucidate the molecular mechanisms contributing to CP development.
  • To find potential therapeutic targets for CP.

Main Methods:

  • Utilized bioinformatics to analyze gene expression profiles of children with CP from public databases.
  • Constructed a protein-protein interaction network.
  • Performed functional enrichment analysis using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases.

Main Results:

  • Identified 144 differential key intersection genes and 10 hub genes.
  • GO analysis revealed enrichment in immune response and neurogenesis pathways.
  • KEGG analysis highlighted involvement of Th17 cell differentiation, Toll-like receptor, TNF, NF-κB, and axon guidance signaling pathways.

Conclusions:

  • Hub genes and identified pathways significantly regulate immune cells and inflammatory factors in CP.
  • These pathways are crucial for the development and progression of cerebral palsy.
  • Bioinformatic approaches can effectively identify molecular mechanisms and potential biomarkers for CP.