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通过全蛋白质组孟德尔随机化和共定位分析鉴定肾结石病的治疗靶点。

Identifying therapeutic targets for kidney stone disease through proteome-wide Mendelian randomization and colocalization analysis.

机构信息

Department of Urology, Xijing Hospital, Air Force Medical University, Xi'an, 710032, China.

Graduate Department, Xi'an Medical University, Xi'an, 710021, China.

出版信息

Urolithiasis. 2024 Nov 25;52(1):167. doi: 10.1007/s00240-024-01669-x.

DOI:10.1007/s00240-024-01669-x
PMID:39585470
Abstract

Kidney stone disease (KSD) is facing rising global prevalence and recurrence rates. Mendelian randomization aids in drug repurposing and the discovery of therapeutic targets. This study utilized Mendelian randomization (MR) to identify protein targets for KSD treatment and assess potential adverse drug reactions. A proteome-wide MR study assessed plasma proteins' causal relationship with KSD risk. Data from UK Biobank Proteomics Profiling Project (2940 proteins) and FinnGen R10 for KSD (10,556 cases, 400,681 controls) were analyzed. Colocalization analysis identified shared causal variants. Additionally, a Phenome-wide association study (PheWAS) used the FinnGen to explore adverse reactions of druggable proteins. MR study found ITIH4, F12, FKBPL positively correlated with KSD risk, while DAG1, ITIH1, LTB, CACYBP negatively correlated (Pfdr < 0.05). Colocalization analysis and PheWAS identified CACYBP as the most promising druggable protein for the prevention or treatment of nephrolithiasis recurrence. This study identified genetic protein biomarkers for KSD risk and explored potential drug side effects, offering new insights and targets for prevention and treatment.

摘要

肾结石病(KSD)的全球患病率和复发率呈上升趋势。孟德尔随机化有助于药物再利用和治疗靶点的发现。本研究利用孟德尔随机化(MR)来确定治疗 KSD 的蛋白质靶点,并评估潜在的药物不良反应。一项全蛋白质组 MR 研究评估了血浆蛋白与 KSD 风险的因果关系。分析了来自英国生物库蛋白质组学分析项目(2940 种蛋白质)和 FinnGen R10 的 KSD 数据(10556 例病例,400681 例对照)。共定位分析确定了共享的因果变异。此外,使用 FinnGen 的表型全基因组关联研究(PheWAS)探索了可用药蛋白的不良反应。MR 研究发现 ITIH4、F12、FKBPL 与 KSD 风险呈正相关,而 DAG1、ITIH1、LTB、CACYBP 呈负相关(Pfdr<0.05)。共定位分析和 PheWAS 确定 CACYBP 是预防或治疗肾结石复发最有前途的可用药蛋白。本研究确定了 KSD 风险的遗传蛋白质生物标志物,并探索了潜在的药物副作用,为预防和治疗提供了新的见解和靶点。

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本文引用的文献

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2
Proteome-Wide Mendelian Randomization and Colocalization Analysis Identify Therapeutic Targets for Knee and Hip Osteoarthritis.全蛋白质组孟德尔随机化和共定位分析鉴定膝关节和髋关节骨关节炎的治疗靶点。
Biomolecules. 2024 Mar 15;14(3):355. doi: 10.3390/biom14030355.
3
Pathophysiology and Main Molecular Mechanisms of Urinary Stone Formation and Recurrence.
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Int J Mol Sci. 2024 Mar 6;25(5):3075. doi: 10.3390/ijms25053075.
4
The impact of kidney stone disease on quality of life in high-risk stone formers.肾结石病对高危结石形成者生活质量的影响。
BJU Int. 2024 May;133(5):570-578. doi: 10.1111/bju.16294. Epub 2024 Feb 8.
5
The association between C-reactive protein levels and the risk of kidney stones: a population-based study.C反应蛋白水平与肾结石风险之间的关联:一项基于人群的研究。
BMC Nephrol. 2024 Jan 27;25(1):39. doi: 10.1186/s12882-024-03476-3.
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Plasma proteomic associations with genetics and health in the UK Biobank.英国生物库中血浆蛋白质组与遗传学和健康的关联。
Nature. 2023 Oct;622(7982):329-338. doi: 10.1038/s41586-023-06592-6. Epub 2023 Oct 4.
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