European journal of mass spectrometry (Chichester, England) · 2025
Increased preponderance of glutamatergic dysregulation in atypical facial pain.
СтатьяНазвание и аннотация: Перевод в очереди
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Fathima Tajdeen Faaheera, Suresh Ramya, Ramadoss Ramya, Sundar Sandhya, Selvam Suganya Panneer, Ramani Pratibha, Nitya Krishnaswamy, Hema Shree Kasi Rajan
Аннотация
Background: Orofacial pain, encompassing a broad spectrum of conditions, arises from the intricate interplay of sensory, cognitive, and emotional components. Accurate diagnosis and management are challenging due to the complexity of orofacial anatomy. Saliva, a non-invasive diagnostic fluid, offers significant potential for identifying biomarkers associated with pain and systemic diseases. Objective: This study aims to investigate the salivary proteome profile in individuals with orofacial pain to identify potential biomarkers for improved diagnostic accuracy and therapeutic interventions. Methods: Saliva samples were collected and processed from individuals experiencing orofacial pain. Proteomic profiling was conducted using advanced mass spectrometry techniques. Identified proteins and metabolites were analyzed to determine their relevance to immune responses, inflammation, and metabolic pathways. Statistical evaluations were performed to identify significant differences in biomarker expression. Results: Key immune-related proteins, such as immunoglobulin A (360.7075 m/z) and lysozyme C (315.8543 m/z), were identified, highlighting their roles in mucosal immunity and antimicrobial defense. Essential amino acids, including leucine (207.1007 m/z) and tyrosine (126.9058 m/z), emphasized their importance in protein synthesis and metabolic pathways. Lipid metabolites like deoxycholic acid (259.8098 m/z) and linoleic acid (183.9124 m/z) suggested active lipid metabolism. Elevated uric acid levels (248.9720 m/z) indicated oxidative stress and chronic inflammation. Conclusion: Saliva's proteomic profile provides valuable insights into the mechanisms underlying orofacial pain. Identified biomarkers have potential applications in diagnostics and personalized therapeutic strategies. Future studies should focus on validating these findings in larger cohorts to enhance clinical applicability.