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Area of Science:

  • Virology
  • Immunology
  • Genomics

Background:

  • The monkeypox virus (MPXV) outbreak poses a significant public health threat.
  • Individuals with human immunodeficiency virus (HIV) experience disproportionately severe MPXV outcomes and higher mortality.
  • Shared molecular mechanisms between MPXV and HIV are not well understood.

Purpose of the Study:

  • To identify common differentially expressed genes (DEGs) between MPXV and HIV infections.
  • To elucidate shared molecular pathways and potential therapeutic targets.
  • To validate key biomarkers using machine learning approaches.

Main Methods:

  • Analysis of two public gene expression datasets (GSE219036, GSE184320) to find common DEGs.
  • Functional enrichment analyses including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG).
  • Construction of protein-protein interaction (PPI) networks and machine learning (ML) validation of hub genes.

Main Results:

  • Identified 59 common DEGs between MPXV and HIV.
  • Highlighted shared pathways such as ERK cascade, NF-κB signaling, and immune responses.
  • Identified and validated five key genes (SPRED1, SPHK1, ATF3, AKT3, AKT1S1) with significant immune correlations.

Conclusions:

  • MPXV and HIV share common pathogenic mechanisms.
  • Key genes and pathways identified provide novel insights into co-infection pathogenesis.
  • Findings offer opportunities for developing targeted management strategies for HIV patients co-infected with MPXV.