Systematic druggable genome-wide Mendelian randomization identifies therapeutic targets for osteoporosis

IF 2.5 Q3 ENDOCRINOLOGY & METABOLISM
Chiyun Sun , Ruikang Liu , Jiaming Hu , Weiming Fan , Chuanrui Sun , Pengcheng Shan , Xu Wei
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Abstract

Objectives

The aim of this study was to find potential drug targets of osteoporosis (OP) through systematic druggable genome-wide Mendelian randomization (MR) analysis.

Methods

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.

Results

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.

Conclusions

Our study provides evidence support for TAS1R3, TMX2, and SREBF1 as drug targets for OP.
系统可用药全基因组孟德尔随机化确定骨质疏松症的治疗靶点
目的通过系统的可用药全基因组孟德尔随机化(MR)分析,寻找治疗骨质疏松症(OP)的潜在药物靶点。方法结合多组学数据,利用药物靶向MR和介导MR寻找OP的潜在药物靶点及其可能通路。功能富集分析用于鉴定潜在药物靶点的代谢途径。此外,我们还进行了双样本MR分析,以探讨免疫表达与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。结果我们筛选出了OP-TAS1R3、TMX2和SREBF1三个潜在靶点。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过滤试验未发现反向因果关系。功能富集分析结果表明,鉴定的靶基因可能通过脂质代谢、免疫表达和胰岛素抵抗等途径影响OP。两样本MR分析显示,HLA-DR在多个单核细胞亚群中的表达与op相关,蔗糖、米氮平、阿斯巴甜、人参皂苷和依折替米贝等5种药物被确定为op最有可能的候选药物。ph -MR发现TAS1R3与降低收缩压有关,TMX2与神经和脂质代谢有关,SREBF1与肌肉力量有关。结论sour研究为TAS1R3、TMX2和SREBF1作为OP的药物靶点提供了证据支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Osteoporosis and Sarcopenia
Osteoporosis and Sarcopenia Orthopedics, Sports Medicine and Rehabilitation, Endocrinology, Diabetes and Metabolism, Obstetrics, Gynecology and Women's Health, Geriatrics and Gerontology
自引率
5.00%
发文量
23
审稿时长
66 days
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