药物重新定位
药品
虚拟筛选
计算生物学
医学
孟德尔随机化
生物信息学
鉴定(生物学)
候选基因
药物发现
生物
交互网络
药物靶点
破骨细胞
共病
药理学
药物数据库
骨质疏松症
微阵列分析技术
骨关节炎
临床试验
作者
Kunlong Jiang,Jun Du,Peng Yang,Liyun Lin,J Liu,Yusen Qiao,Huilin Yang,Dechun Geng,Kun Li
摘要
Osteoporosis (OP) and osteoarthritis (OA) frequently coexist in the elderly, yet shared molecular pathways remain unclear. We employed weighted gene co-expression network analysis (WGCNA), independent cohort differential verification, and integration of multiple datasets to explore the association between the two diseases and identify the hub genes. Then, through Mendelian randomization and single-cell sequencing methods, we confirmed that SON might be the key protein linking these two diseases and a promising therapeutic target for comorbidity. Additionally, this study utilized the FDA drug database for virtual screening to evaluate the potential of SON protein as a drug target. Nilotinib, with a high docking score, was listed as a candidate drug. Overall, our findings suggest that SON may play a protective role in the comorbidity of OP and OA, but further functional studies are required to confirm its causal role. Moreover, Nilotinib shows inhibitory effects on osteoclast differentiation and targets SON in vitro, indicating its potential as a candidate drug for further investigation.
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