Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44, Wenhua West Road, Jinan 250012, China.
Institute for Medical Dataology, Shandong University, 12550, Erhuan East Road, Jinan 250003, China.
Int J Mol Sci. 2024 Aug 25;25(17):9223. doi: 10.3390/ijms25179223.
Integrating protein quantitative trait loci (pQTL) data and summary statistics from genome-wide association studies (GWAS) of brain image-derived phenotypes (IDPs) can benefit in identifying IDP-related proteins. Here, we developed a systematic omics-integration analytic framework by sequentially using proteome-wide association study (PWAS), Mendelian randomization (MR), and colocalization (COLOC) analyses to identify the potentially causal brain and plasma proteins for IDPs, followed by pleiotropy analysis, mediation analysis, and drug exploration analysis to investigate potential mediation pathways of pleiotropic proteins to neuropsychiatric disorders (NDs) as well as candidate drug targets. A total of 201 plasma proteins and 398 brain proteins were significantly associated with IDPs from PWAS analysis. Subsequent MR and COLOC analyses further identified 313 potentially causal IDP-related proteins, which were significantly enriched in neural-related phenotypes, among which 91 were further identified as pleiotropic proteins associated with both IDPs and NDs, including , , , and . Drug prioritization analysis showed that 6.33% of unique pleiotropic proteins had drug targets or interactions with medications for NDs. Nine potential mediation pathways were identified to illustrate the mediating roles of the IDPs in the causal effect of the pleiotropic proteins on NDs, including the indirect effect of on Alzheimer's disease (AD) risk via radial diffusivity (RD) of the posterior limb of the internal capsule (PLIC), with the mediation proportion being 11.18%, and the indirect effect of on AD through RD of PLIC, RD of splenium of corpus callosum (SCC), and fractional anisotropy (FA) of SCC, with the mediation proportion being 18.99%, 22.79%, and 19.91%, respectively. These findings provide novel insights into pathogenesis, drug targets, and neuroimaging biomarkers of NDs.
整合蛋白质数量性状基因座(pQTL)数据和全基因组关联研究(GWAS)的大脑影像衍生表型(IDP)汇总统计数据有助于识别与 IDP 相关的蛋白质。在这里,我们开发了一种系统的组学整合分析框架,依次使用全蛋白质组关联研究(PWAS)、孟德尔随机化(MR)和共定位(COLOC)分析来识别潜在的与 IDP 相关的大脑和血浆蛋白,随后进行多效性分析、中介分析和药物探索分析,以研究多效性蛋白对神经精神疾病(NDs)的潜在中介途径以及候选药物靶点。PWAS 分析发现,201 种血浆蛋白和 398 种大脑蛋白与 IDP 显著相关。随后的 MR 和 COLOC 分析进一步确定了 313 种潜在的因果 IDP 相关蛋白,这些蛋白在神经相关表型中显著富集,其中 91 种被进一步确定为与 IDP 和 NDs 均相关的多效性蛋白,包括、、、和。药物优先级分析表明,6.33%的独特多效性蛋白具有与 ND 药物治疗相关的药物靶点或相互作用。确定了 9 个潜在的中介途径,以说明 IDP 在多效性蛋白对 NDs 的因果效应中的中介作用,包括通过后内囊辐射(PLIC)的径向扩散率(RD)间接影响 AD 风险,中介比例为 11.18%,以及通过 RD 通过 PLIC、胼胝体体部(SCC)的 RD 和 SCC 的各向异性分数(FA)间接影响 AD 的 作用,中介比例分别为 18.99%、22.79%和 19.91%。这些发现为 NDs 的发病机制、药物靶点和神经影像学生物标志物提供了新的见解。