Identification and verification of a novel signature that combines cuproptosis-related genes with ferroptosis-related genes in osteoarthritis using bioinformatics analysis and experimental validation

• Published in: Arthritis research & therapy Vol. 26; no. 1; pp. 100 - 19
• Main Authors: He, Baoqiang, Liao, Yehui, Tian, Minghao, Tang, Chao, Tang, Qiang, Ma, Fei, Zhou, Wenyang, Leng, Yebo, Zhong, Dejun
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 13.05.2024; BioMed Central; BMC
• Subjects: Analysis; Animals; Antiarthritic agents; Apoptosis; Bioinformatics; Biomarkers - analysis; Biomarkers - metabolism; Computational biology; Computational Biology - methods; Cuproptosis; Dosage and administration; Drug therapy; Ferroptosis; Ferroptosis - genetics; Gene Expression Profiling - methods; Gene Regulatory Networks - genetics; Genes; Health aspects; Humans; Inflammation; Information management; Machine Learning; Osteoarthritis; Osteoarthritis - genetics; Osteoarthritis - metabolism; Patient outcomes; Protein Interaction Maps - genetics; Protein-protein interactions; China; Ferroptosis; Bioinformatics; Osteoarthritis; Cuproptosis; Machine learning

Exploring the pathogenesis of osteoarthritis (OA) is important for its prevention, diagnosis, and treatment. Therefore, we aimed to construct novel signature genes (c-FRGs) combining cuproptosis-related genes (CRGs) with ferroptosis-related genes (FRGs) to explore the pathogenesis of OA and aid in i...