Sun Chiyun, Liu Ruikang, Hu Jiaming, Fan Weiming, Sun Chuanrui, Shan Pengcheng, Wei Xu
Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Graduate School of Beijing University of Chinese Medicine, Beijing, China.
Osteoporos Sarcopenia. 2025 Jun;11(2):57-64. doi: 10.1016/j.afos.2025.06.001. Epub 2025 Jun 7.
The aim of this study was to find potential drug targets of osteoporosis (OP) through systematic druggable genome-wide Mendelian randomization (MR) analysis.
Combining the multi-omics data, we utilized drug target MR and mediation MR to search for potential drug targets of OP and their possible pathways. Functional enrichment analyses were used to identify metabolic pathways of potential drug targets. In addition, we performed a two-sample MR analysis to investigate the causal relationship between immunoexpression and OP. Finally, we conducted Phe-MR analysis and drug prediction to determine the indications, potential side effects, and pharmacological activities of previously tested targets.
We screened three potential targets of OP-TAS1R3, TMX2, and SREBF1. Mediation MR analysis revealed that body mass index, type 2 diabetes, and chemokine C-C motif ligand 4 may be mediators for the above targets to act on OP. The Steiger Filtering test did not find a reverse causality. The results of functional enrichment analysis showed that the identified target genes may affect OP through lipid metabolism, immune expression, and insulin resistance. Two-sample MR analysis showed that HLA-DR expression in multiple monocyte subpopulations was associated with OP. The five drugs including sucrose, mirtazapine, aspartame, ginsenoside and ezetimibe are identified as the most probable candidates for the treatment of OP. Phe-MR found that TAS1R3 was associated with lower systolic blood pressure, TMX2 with neurologic and lipid metabolism, and SREBF1 with muscle power.
Our study provides evidence support for TAS1R3, TMX2, and SREBF1 as drug targets for OP.
本研究旨在通过系统性的全基因组可成药孟德尔随机化(MR)分析,寻找骨质疏松症(OP)的潜在药物靶点。
结合多组学数据,我们利用药物靶点MR和中介MR来寻找OP的潜在药物靶点及其可能的途径。功能富集分析用于确定潜在药物靶点的代谢途径。此外,我们进行了两样本MR分析,以研究免疫表达与OP之间的因果关系。最后,我们进行了Phe-MR分析和药物预测,以确定先前测试靶点的适应症、潜在副作用和药理活性。
我们筛选出了OP的三个潜在靶点——TAS1R3、TMX2和SREBF1。中介MR分析显示,体重指数、2型糖尿病和趋化因子C-C基序配体4可能是上述靶点作用于OP的中介。Steiger过滤检验未发现反向因果关系。功能富集分析结果表明,所鉴定的靶基因可能通过脂质代谢、免疫表达和胰岛素抵抗影响OP。两样本MR分析表明,多个单核细胞亚群中的HLA-DR表达与OP相关。蔗糖、米氮平、阿斯巴甜、人参皂苷和依泽替米贝这五种药物被确定为治疗OP最有可能的候选药物。Phe-MR发现,TAS1R3与较低的收缩压相关,TMX2与神经和脂质代谢相关,SREBF1与肌肉力量相关。
我们的研究为TAS1R3、TMX2和SREBF1作为OP的药物靶点提供了证据支持。