ArticleInternational journal of molecular sciences2026
Whole Transcriptomic Analysis Identifies Candidate Biomarkers from Saliva of Temporomandibular Joint Osteoarthritis Patients.
Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Temporomandibular joint osteoarthritis (TMJOA) is a degenerative disease characterized by progressive cartilage degeneration and subchondral bone remodeling, resulting in chronic pain and functional impairment. Although conservative treatments such as physical therapy and non-steroidal anti-inflammatory drugs (NSAIDs) are commonly used, their effectiveness is limited due to the poorly understood pathophysiology of TMJOA. Identifying reliable molecular biomarkers is essential to improving early diagnosis and guiding therapeutic development. This proof-of-concept study aims to identify candidate salivary biomarkers for TMJOA using an integrative approach combining clinical validation with in silico analysis. RNA sequencing was performed on saliva samples from TMJOA patients and healthy controls. In parallel, publicly available transcriptomic dataset GSE205389 was analyzed to identify differentially expressed genes (DEGs). DEGs were validated using qRT-PCR. Gene set enrichment analysis (GSEA) and Metascape were used to explore biological pathways associated with TMJOA. Integration of clinical and in silico RNA sequencing datasets identified 2758 and 3548 DEGs, respectively, with 743 overlapping genes. Pathway enrichment analyses highlighted immune-related, metabolic and osteoclast-related pathways. Four genes,
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