December 4, 2025Human MutationOpen Access

Integrative Transcriptomic and Machine Learning Analysis Identifies Key Senescence‐Associated Secretory Phenotype Genes Associated With Immune Dysregulation in Periodontitis

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Artificial neural network models showed strong diagnostic potential for key genes associated with immune dysregulation.
Dexamethasone identified as a therapeutic compound through molecular docking targeting immune pathways.
Integrative bioinformatic analyses utilized support vector machine techniques on transcriptomic datasets to uncover significant genes.
Findings may enable early diagnosis and intervention strategies to address periodontitis and its underlying mechanisms.

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Integrative analysis highlights potential biomarkers in periodontitis, revealing immune dysregulation and therapeutic targets.

Zeng et al. (2025) studied this question.

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