| Sumari: | 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.
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