Identification and validation of miR‐29b‐3p and LIN7A as important diagnostic markers for bone non‐union by WGCNA

Abstract

AbstractBone non‐union is a common fracture complication that can severely impact patient outcomes, yet its mechanism is not fully understood. This study used differential analysis and weighted co‐expression network analysis (WGCNA) to identify susceptibility modules and hub genes associated with fracture healing. Two datasets, GSE125289 and GSE213891, were downloaded from the GEO website, and differentially expressed miRNAs and genes were analysed and used to construct the WGCNA network. Gene ontology (GO) analysis of the differentially expressed genes showed enrichment in cytokine and inflammatory factor secretion, phagocytosis, and trans‐Golgi network regulation pathways. Using bioinformatic site prediction and crossover gene search, miR‐29b‐3p was identified as a regulator of LIN7A expression that may negatively affect fracture healing. Potential miRNA‐mRNA interactions in the bone non‐union mechanism were explored, and miRNA‐29‐3p and LIN7A were identified as biomarkers of skeletal non‐union. The expression of miRNA‐29b‐3p and LIN7A was verified in blood samples from patients with fracture non‐union using qRT‐PCR and ELISA. Overall, this study identified characteristic modules and key genes associated with fracture non‐union and provided insight into its molecular mechanisms. Downregulated miRNA‐29b‐3p was found to downregulate LIN7A protein expression, which may affect the healing process after fracture in patients with bone non‐union. These findings may serve as a prognostic biomarker and potential therapeutic target for bone non‐union.