A Multi-Level Network Analysis Explores Key Molecular Regulators and Potential Biomarkers for Huntington's Disease

Abstract

This abstract presents a comprehensive study investigating the molecular mechanisms underlying Huntington’s disease (HD) by integrating gene expression profiles, network analysis, and literature validation. Thirteen genes associated with HD were identified, with particular focus on HAND1, HAND2, HOXA5, HOXD10, HOX11, HOXD13, and NKX2-5, which exhibited significant upregulation and implications in HD pathology. Additionally, seven microRNAs and six long non-coding RNAs were linked to HD progression, offering potential therapeutic targets. Machine learning validated the diagnostic potential of these components, with tissue-specific analysis highlighting their relevance in frontal cortex tissue. Enrichment analysis emphasized the involvement of these genes in neurogenesis and brain development, crucial processes affected in HD pathogenesis. This study offers insights into the molecular landscape of HD and proposes a novel approach for further elucidating disease mechanisms.