Characterization of PANoptosis-related genes with immunoregulatory features in osteoarthritis.

Int Immunopharmacol

The Third Ward of Orthopaedic Department, General Hospital of Ningxia Medical University, Yinchuan 750004, China; Institute of Osteoarthropathy, Ningxia Key Laboratory of Clinical and Pathogenic Microbiology, Institute of Medical Sciences, General Hospital of Ningxia Medical University, Yinchuan 750004, China. Electronic address:

Published: October 2024

AI Article Synopsis

  • * Researchers analyzed gene expression data from OA patients and healthy individuals, identifying 39 differentially expressed PRGs that are involved in inflammation and immune modulation.
  • * A diagnostic model was developed using seven key PRGs, which showed strong predictive ability, and APHA-compound-8 was recognized as a promising therapeutic agent for targeting these PRGs in OA.

Article Abstract

This study aimed to characterize PANoptosis-related genes with immunoregulatory features in osteoarthritis (OA) and investigate their potential diagnostic and therapeutic implications. Gene expression data from OA patients and healthy controls were obtained from the Gene Expression Omnibus (GEO) database. Differential expression analysis and functional enrichment analysis were conducted to identify PANoptosis-related genes (PRGs) associated with OA pathogenesis. A diagnostic model was developed using LASSO regression, and the diagnostic value of key PRGs was evaluated using Receiver Operating Characteristic Curve (ROC) analysis. The infiltration of immune cells and potential small molecule agents were also examined. A total of 39 differentially expressed PANoptosis-related genes (DE-PRGs) were identified, with functional enrichment analysis revealing their involvement in inflammatory response regulation and immune modulation pathways. Seven key PRGs, including CDKN1A, EZH2, MEG3, NR4A1, PIK3R2, S100A8, and SYVN1, were selected for diagnostic model construction, demonstrating high predictive performance in both training and validation datasets. The correlation between key PRGs and immune cell infiltration was explored. Additionally, molecular docking analysis identified APHA-compound-8 as a potential therapeutic agent targeting key PRGs. This study identified and analyzed PRGs in OA, uncovering their roles in immune regulation. Seven key PRGs were used to construct a diagnostic model with high predictive performance. The identified PRGs' correlation with immune cell infiltration was elucidated, and APHA-compound-8 was highlighted as a potential therapeutic agent. These findings offer novel diagnostic markers and therapeutic targets for OA, warranting further in vivo validation and exploration of clinical applications.

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Source
http://dx.doi.org/10.1016/j.intimp.2024.112889DOI Listing

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