Zhang Chengcheng, He Yiwei, Liu Lu
Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Key Laboratory of Acupuncture Neuromodulation, No. 23, Meishuguan Houjie, Beijing, 100010, China.
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China.
J Headache Pain. 2024 Jun 12;25(1):100. doi: 10.1186/s10194-024-01805-3.
Currently, the treatment and prevention of migraine remain highly challenging. Mendelian randomization (MR) has been widely used to explore novel therapeutic targets. Therefore, we performed a systematic druggable genome-wide MR to explore the potential therapeutic targets for migraine.
We obtained data on druggable genes and screened for genes within brain expression quantitative trait locis (eQTLs) and blood eQTLs, which were then subjected to two-sample MR analysis and colocalization analysis with migraine genome-wide association studies data to identify genes highly associated with migraine. In addition, phenome-wide research, enrichment analysis, protein network construction, drug prediction, and molecular docking were performed to provide valuable guidance for the development of more effective and targeted therapeutic drugs.
We identified 21 druggable genes significantly associated with migraine (BRPF3, CBFB, CDK4, CHD4, DDIT4, EP300, EPHA5, FGFRL1, FXN, HMGCR, HVCN1, KCNK5, MRGPRE, NLGN2, NR1D1, PLXNB1, TGFB1, TGFB3, THRA, TLN1 and TP53), two of which were significant in both blood and brain (HMGCR and TGFB3). The results of phenome-wide research showed that HMGCR was highly correlated with low-density lipoprotein, and TGFB3 was primarily associated with insulin-like growth factor 1 levels.
This study utilized MR and colocalization analysis to identify 21 potential drug targets for migraine, two of which were significant in both blood and brain. These findings provide promising leads for more effective migraine treatments, potentially reducing drug development costs.
目前,偏头痛的治疗和预防仍然极具挑战性。孟德尔随机化(MR)已被广泛用于探索新的治疗靶点。因此,我们进行了一项全基因组可药物化的系统MR研究,以探索偏头痛的潜在治疗靶点。
我们获取了可药物化基因的数据,并筛选了脑表达定量性状位点(eQTLs)和血液eQTLs中的基因,然后将其与偏头痛全基因组关联研究数据进行两样本MR分析和共定位分析,以确定与偏头痛高度相关的基因。此外,还进行了全表型组研究、富集分析、蛋白质网络构建、药物预测和分子对接,为开发更有效、更具针对性的治疗药物提供有价值的指导。
我们确定了21个与偏头痛显著相关的可药物化基因(BRPF3、CBFB、CDK4、CHD4、DDIT4、EP300、EPHA5、FGFRL1、FXN、HMGCR、HVCN1、KCNK5、MRGPRE、NLGN2、NR1D1、PLXNB1、TGFB1、TGFB3、THRA、TLN1和TP53),其中两个在血液和大脑中均显著(HMGCR和TGFB3)。全表型组研究结果表明,HMGCR与低密度脂蛋白高度相关,而TGFB3主要与胰岛素样生长因子1水平相关。
本研究利用MR和共定位分析确定了21个偏头痛潜在药物靶点,其中两个在血液和大脑中均显著。这些发现为更有效的偏头痛治疗提供了有希望的线索,可能降低药物开发成本。