Proteome-wide Mendelian randomization identified potential drug targets for migraine

Zhonghua Xiong, Lei Zhao, Yanliang Mei, Dong Qiu, Xiaoshuang Li, Peng Zhang, Mantian Zhang, Jin Cao, Yonggang Wang
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Abstract

Migraine is a highly prevalent and complex neurovascular disease. However, the currently available therapeutic drugs often fall to adequately meet clinical needs due to limited effectiveness and numerous undesirable side effects. This study aims to identify putative novel targets for migraine treatment through proteome-wide Mendelian randomization (MR). We utilized MR to estimate the causal effects of plasma proteins on migraine and its two subtypes, migraine with aura (MA) and without aura (MO). This analysis integrated plasma protein quantitative trait loci (pQTL) data with genome-wide association studies (GWAS) findings for these migraine phenotypes. Moreover, we conducted a phenome-wide MR assessment, enrichment analysis, protein–protein interaction networks construction, and mediation MR analysis to further validate the pharmaceutical potential of the identified protein targets. We identified 35 protein targets for migraine and its subtypes (p < 8.04 × 10–6), with prioritized targets showing minimal side effects. Phenome-wide MR identified novel protein targets—FCAR, UBE2L6, LATS1, PDCD1LG2, and MMP3—that have no major disease side effects and interacted with current acute migraine medication targets. Additionally, MMP3, PDCD1LG2, and HBQ1 interacted with current preventive migraine medication targets. The causal effects of plasma protein on migraine were partly mediated by plasma metabolites (proportion of mediation from 3.8% to 21.0%). A set of potential protein targets for migraine and its subtypes were identified. These proteins showed rare side effects and were responsible for biological mechanisms involved in migraine pathogenesis, indicating priority for the development of migraine treatments.
全蛋白质组孟德尔随机化确定了治疗偏头痛的潜在药物靶点
偏头痛是一种发病率很高的复杂神经血管疾病。然而,目前可用的治疗药物往往因疗效有限和众多不良副作用而无法充分满足临床需求。本研究旨在通过蛋白质组范围内的孟德尔随机化(MR)来确定治疗偏头痛的潜在新靶点。我们利用MR估计了血浆蛋白对偏头痛及其两个亚型(有先兆偏头痛(MA)和无先兆偏头痛(MO))的因果效应。这项分析整合了血浆蛋白定量性状位点(pQTL)数据和这些偏头痛表型的全基因组关联研究(GWAS)结果。此外,我们还进行了全表型MR评估、富集分析、蛋白质-蛋白质相互作用网络构建和中介MR分析,以进一步验证已鉴定蛋白质靶点的制药潜力。我们为偏头痛及其亚型确定了 35 个蛋白质靶点(p < 8.04 × 10-6),其中优先靶点的副作用最小。全表型MR发现了新的蛋白质靶点--FCAR、UBE2L6、LATS1、PDCD1LG2和MMP3--这些靶点没有重大疾病副作用,并且与目前的急性偏头痛药物靶点相互作用。此外,MMP3、PDCD1LG2 和 HBQ1 与目前的预防性偏头痛药物靶点相互作用。血浆蛋白对偏头痛的因果效应部分由血浆代谢物介导(介导比例从3.8%到21.0%不等)。研究还发现了一系列治疗偏头痛及其亚型的潜在蛋白质靶点。这些蛋白质显示出罕见的副作用,并对偏头痛发病机制中的生物机制负责,这为偏头痛治疗方法的开发指明了优先方向。
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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