Chen Haohao, Yang Jinhua, Li Zihao, Gao Fenfei
Department of Pharmacy, the First Affiliated Hospital of Shantou University Medical College, Shantou, China.
Department of Pharmacology, Shantou University Medical College, 22 Xinling Road, Jinping District, Shantou, 515041, Guangdong, China.
Transl Stroke Res. 2025 Jul 18. doi: 10.1007/s12975-025-01369-7.
Ischemic stroke contributes substantially to global death and disability, yet effective molecular targets remain scarce. This study integrates real-world pharmacovigilance data, molecular databases, and genetic evidence to support the discovery and validation of novel therapeutic targets. A stepwise analytic pipeline combined adverse event signals from the FDA Adverse Event Reporting System (FAERS), drug-target data from DrugBank, and Mendelian randomization (MR) using proteomic instruments from the UK Biobank Pharma Proteomics Project (UKB PPP). Disproportionality analyses identified drugs with signals for ischemic stroke. The top 30 drugs were cross-referenced in DrugBank to identify molecular targets, which were subjected to protein interaction and pathway enrichment analyses. MR analysis assessed the causal effects of plasma proteins on ischemic stroke using GWAS data from GIGASTROKE (discovery) and FinnGen (validation). Among 88,313 ischemic stroke-related reports in FAERS, 701 drugs showed consistent signals, with the top 30 prioritized for target identification. FLT1 was the only overlapping protein between MR-significant proteins and FAERS-associated drug targets. MR analysis showed a significant inverse causal relationship between plasma FLT1 levels and ischemic stroke in both the discovery (OR, 0.864; 95% CI, 0.774-0.965) and validation (OR, 0.829; 95% CI, 0.788-0.871) datasets. FLT1 was enriched in pathways such as MAPK and PI3K-Akt, implicated in stroke-related molecular processes. FLT1 was identified as a potential protective factor against ischemic stroke through a triangulated approach combining pharmacovigilance, target bioinformatics, and MR analysis. These findings offer mechanistic insights and a promising direction for targeted intervention.
缺血性中风是全球死亡和残疾的主要原因,但有效的分子靶点仍然稀缺。本研究整合了真实世界的药物警戒数据、分子数据库和遗传证据,以支持新型治疗靶点的发现和验证。一个逐步分析流程结合了来自美国食品药品监督管理局不良事件报告系统(FAERS)的不良事件信号、来自DrugBank的药物靶点数据以及使用来自英国生物银行药物蛋白质组学项目(UKB PPP)的蛋白质组学工具进行的孟德尔随机化(MR)。不均衡性分析确定了具有缺血性中风信号的药物。在DrugBank中对排名前30的药物进行交叉引用以识别分子靶点,对这些靶点进行蛋白质相互作用和通路富集分析。MR分析使用来自GIGASTROKE(发现)和FinnGen(验证)的全基因组关联研究(GWAS)数据评估血浆蛋白对缺血性中风的因果效应。在FAERS中88313份与缺血性中风相关的报告中,701种药物显示出一致的信号,其中排名前30的药物被优先用于靶点识别。FLT1是MR显著蛋白和FAERS相关药物靶点之间唯一重叠的蛋白。MR分析显示,在发现数据集(OR,0.864;95%CI,0.774 - 0.965)和验证数据集(OR,0.829;95%CI,0.788 - 0.871)中,血浆FLT1水平与缺血性中风之间均存在显著的反向因果关系。FLT1在诸如MAPK和PI3K - Akt等与中风相关分子过程有关的通路中富集。通过结合药物警戒、靶点生物信息学和MR分析的三角方法,FLT1被确定为缺血性中风的潜在保护因子。这些发现为靶向干预提供了机制性见解和有前景的方向。