摘要Background:Osteoarthritis(OA)is a common joint disease,and existing drugs can-not cure OA,so there is an urgent need to identify new targets.Mitophagy plays an important role in OA;however,the role of mitophagy in the OA immune system is not yet clear.Methods:In this study,differential analysis and enrichment analysis were used to identify mitophagy-related genes(MRGs)with differential expression in OA and the functional pathways involved in OA.Subsequently,two machine learning methods,RF and LASSO,were used to screen MRGs with diagnostic value and construct nomo-grams.At the same time,the relationship between mitophagy and OA immune re-sponse was explored by immunoinfiltration analysis.Results:Forty-three differentially MRGs were identified in OA,of which six MRGs(GABARAPL2,PARL,GABARAPL1,JUN,RRAS,and SNX7)were associated with the diagnosis of OA.The ROC analysis results show that these 6 MRGs have high predic-tive accuracy in the diagnosis of OA.In immune infiltration analysis,we found that the abundance of significantly different immune cells in OA was mostly upregulated.In addition,the expression of diagnostic-related MRGs is correlated with changes in the abundance of immune cells in OA.Conclusion:This study demonstrates that six MRGs can be used as diagnostic bio-markers.The expression of diagnostic-related MRGs is correlated with changes in the abundance of immune cells in OA.At the same time,mitophagy may affect the im-mune microenvironment of OA by regulating immune cells,ultimately leading to the progression of OA.