Chen Xiong, Shen Runnan, Zhu Dongxi, Luo Shulu, You Guochang, Li Ruijie, Hong Xiaosi, Li Ruijun, Wu Jihao, Huang Yinong, Lin Tianxin
Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
School of Medicine, Sun Yat-Sen University, Guangzhou, China.
iScience. 2024 May 10;27(6):109953. doi: 10.1016/j.isci.2024.109953. eCollection 2024 Jun 21.
The development of targeted drugs for the early prevention and management of chronic kidney disease (CKD) is of great importance. However, the success rates and cost-effectiveness of traditional drug development approaches are extremely low. Utilizing large sample genome-wide association study data for drug repurposing has shown promise in many diseases but has not yet been explored in CKD. Herein, we investigated actionable druggable targets to improve renal function using large-scale Mendelian randomization and colocalization analyses. We combined two population-scale independent genetic datasets and validated findings with cell-type-dependent eQTL data of kidney tubular and glomerular samples. We ultimately prioritized two drug targets, opioid receptor-like 1 and F12, with potential genetic support for restoring renal function and subsequent treatment of CKD. Our findings explore the potential pathological mechanisms of CKD, bridge the gap between the molecular mechanisms of pathogenesis and clinical intervention, and provide new strategies in future clinical trials of CKD.
开发用于慢性肾脏病(CKD)早期预防和管理的靶向药物至关重要。然而,传统药物开发方法的成功率和成本效益极低。利用大规模全基因组关联研究数据进行药物再利用在许多疾病中已显示出前景,但尚未在CKD中进行探索。在此,我们使用大规模孟德尔随机化和共定位分析研究了可改善肾功能的可操作药物靶点。我们合并了两个群体规模的独立遗传数据集,并使用肾小管和肾小球样本的细胞类型依赖性eQTL数据验证了研究结果。我们最终确定了两个药物靶点,即阿片样受体样1和F12,它们具有恢复肾功能及后续治疗CKD的潜在遗传支持。我们的研究结果探索了CKD的潜在病理机制,弥合了发病机制的分子机制与临床干预之间的差距,并为未来CKD的临床试验提供了新策略。