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

Authors :
Lan, Zhibin
Yang, Yang
Sun, Rui
Lin, Xue
Yan, Jiangbo
Chen, Xiaolei
Tian, Kuanmin
Wu, Gang
Saad, Muhammad
Wu, Zhiqiang
Xue, Di
Jin, Qunhua
Source :
International Immunopharmacology. Oct2024, Vol. 140, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

• Identified 39 PANoptosis-related genes in OA, involved in inflammatory response and immune modulation pathways. • Selected 7 key PRGs for diagnostic model, showing high predictive performance and potential as OA markers. • Discovered APHA-compound-8 as a potential therapeutic agent targeting key PRGs, suggesting new OA management avenues. 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15675769
Volume :
140
Database :
Academic Search Index
Journal :
International Immunopharmacology
Publication Type :
Academic Journal
Accession number :
179274933
Full Text :
https://doi.org/10.1016/j.intimp.2024.112889