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The journal of international advanced otology · 2025

Tinnitus Pathophysiology: A Systems Biology Analysis of Gene Networks and Cellular Pathways.

СтатьяНазвание и аннотация: Перевод в очереди
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Kumar Kukkapalli Prathap, Adiga Usha, Sindhu B S

Аннотация

BACKGROUND: Tinnitus, characterized by phantom sound perception in the absence of external auditory stimuli, affects approximately 10%-15% of the adult population worldwide. Despite its prevalence, the molecular mechanisms underlying tinnitus remain incompletely understood. This study aimed to identify key molecular networks and pathways implicated in tinnitus pathophysiology using a systems biology approach through comprehensive enrichment analysis of tinnitus-associated genes.

METHODS: Tinnitus-associated genes were identified from the DisGeNET database (CUI ID: C0040264) and subsequently analyzed using EnrichR across 7 databases: WikiPathways 2024 Human, GO Biological Process 2025, GO (Gene Ontology) Cellular Component 2025, GO Molecular Function 2025, CellMarker 2024, HMDB (Human Metabolome Database) Metabolites, and TargetScan microRNA 2017. Top results from each database were retained and analyzed to identify significant biological patterns.

RESULTS: The analysis revealed significant enrichment of neuroinflammatory pathways, glutamatergic signaling, and ion channel activity, particularly potassium channels. Key inflammatory cytokines including IL-10 (interleukin), IL-1β, IL-6, and tumor necrosis factor emerged as central molecular players. The results highlighted the involvement of neuronal components including N-methyl-D-aspartate receptors, voltage-gated potassium channels, and cellular structures critical for auditory signal transduction. Metabolite analysis implicated potassium homeostasis and several microRNAs showed potential regulatory roles in tinnitus-related gene networks.

CONCLUSION: This comprehensive analysis suggests tinnitus pathophysiology involves complex interactions between neuroinflammation, excitotoxicity, ion channel dysfunction, and neuronal structural changes, presenting potential targets for therapeutic intervention and biomarker development.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты