Hong Yanggang, Wang Yi, Shu Wanyi
The Second School of Medicine, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.
The First School of Medicine, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.
J Affect Disord. 2025 Feb 1;370:147-158. doi: 10.1016/j.jad.2024.11.002. Epub 2024 Nov 2.
Neuroticism, known for its association with a greater risk of psychiatric conditions such as depression and anxiety, is a critical focus of research.
Cis-expression quantitative trait loci (eQTLs) from 31,684 whole blood samples provided by the eQTLGen Consortium, alongside data from a large neuroticism cohort, were analyzed to identify genes causally linked to neuroticism. To further explore the influence of gene expression changes on neuroticism, colocalization analysis was conducted. Identified drug targets were assessed for potential side effects using a phenome-wide association study (PheWAS). Additionally, we utilized multiple databases to explore the interactions between drugs and genes for drug prediction and assess the current medications for drug repurposing.
The analysis involved a total of 4473 druggable genes, with two-sample Mendelian randomization (MR) identifying 186 genes that are causally linked to neuroticism. Colocalization analysis highlighted 11 genes (TLR4, MMRN1, EP300, BRAF, ORM1, ACVR1B, LRRC17, NOS2, ADAMTS6, GPX1, and VCL) with a posterior probability of colocalization (PPH4) >0.8. PheWAS revealed that drugs targeting BRAF, LRRC17, ADAMTS6, and GPX1 were also associated with other traits. Notably, six of these genes (TLR4, MMRN1, BRAF, ACVR1B, NOS2, and GPX1) are already being explored for drug development in psychiatric and other diseases.
This study pinpointed six genes as promising therapeutic targets for neuroticism. The repurposing and development of drugs targeting these genes hold potential for managing neuroticism and associated psychiatric disorders.
神经质与抑郁症和焦虑症等精神疾病的较高风险相关,是研究的关键焦点。
分析了eQTLGen联盟提供的31684份全血样本的顺式表达定量性状基因座(eQTL),以及来自一个大型神经质队列的数据,以确定与神经质有因果关系的基因。为了进一步探索基因表达变化对神经质的影响,进行了共定位分析。使用全表型关联研究(PheWAS)评估已确定的药物靶点的潜在副作用。此外,我们利用多个数据库探索药物与基因之间的相互作用以进行药物预测,并评估当前药物用于药物再利用的情况。
该分析共涉及4473个可成药基因,两样本孟德尔随机化(MR)确定了186个与神经质有因果关系的基因。共定位分析突出了11个基因(TLR4、MMRN1、EP300、BRAF、ORM1、ACVR1B、LRRC17、NOS2、ADAMTS6、GPX1和VCL),其共定位后验概率(PPH4)>0.8。PheWAS显示,靶向BRAF、LRRC17、ADAMTS6和GPX1的药物也与其他性状相关。值得注意的是,这些基因中的六个(TLR4、MMRN1、BRAF、ACVR1B、NOS2和GPX1)已在精神疾病和其他疾病的药物开发中进行探索。
本研究确定了六个基因作为治疗神经质的有前景的靶点。靶向这些基因的药物的再利用和开发有望用于管理神经质及相关精神疾病。