Rawdata and analysis code for study:Bioinformatic identification of potential mechanisms and validation of mitochondria-associated endoplasmic reticulum membranes biomarkers in osteoarthritis

Drawing upon publicly accessible databases, candidate genes were screened by cross - referencing the differentially expressed genes (DEGs) between the osteoarthritis (OA) group and the control group with the genes identified within the mitochondria - associated membranes (MAMs) modules through weighted gene co - expression network analysis (WGCNA). Biomarkers were selected via protein - protein interaction (PPI) network analysis, machine learning, gene expression validation, and Receiver Operating Characteristic (ROC) curve analysis. Immunocellular infiltration was evaluated, regulatory networks were constructed, and potential therapeutic compounds were predicted. Ultimately, the expression levels of biomarkers were validated in clinical samples using reverse transcription quantitative polymerase chain reaction (RT - qPCR). CALML4, CX3CR1, LTC4S, and TLR7 were recognized as effective biomarkers related to MAMs in OA. The findings offer novel perspectives on the developmental mechanisms of OA and propose potential treatment strategies.