Chen Yunmeng, Guo Chunyan, Liang Xiao, Chi Xiansu, Zhang Zixuan, Chang Ze, Zhang Yunling
Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, 100091, China.
Cell Mol Neurobiol. 2025 Jul 7;45(1):66. doi: 10.1007/s10571-025-01583-9.
Vascular dementia (VaD) is a prevalent form of dementia caused by cerebrovascular disease, leading to cognitive impairment. While various risk factors have been identified, the role of plasma proteins in VaD etiology remains poorly understood. This study employs Mendelian randomization (MR) to investigate the causal relationship between plasma proteins and VaD risk, complemented by experimental validation. We conducted a two-sample MR analysis using summary statistics from genome-wide association studies (GWAS) on plasma proteins and VaD. Plasma protein data were derived from the deCODE Health study, encompassing 35,559 Icelandic participants and genetic associations for 4907 circulating proteins. VaD GWAS data were obtained from the FinnGen biobank, comprising 2717 VaD patients and 393,024 controls. Instrumental variables (IVs) were selected based on genome-wide significance thresholds (P < 5 × 10 for plasma proteins, P < 5 × 10 for VaD). The primary analysis used inverse variance weighting (IVW), supplemented by weighted median, MR-Egger, simple mode, and weighted mode methods. The Sensitivity analyses included heterogeneity tests, horizontal pleiotropy assessments, and leave-one-out analyses. Additionally, a 2-vessel occlusion (2-VO) animal model was used to validate key genes, with gene expression measured by quantitative real-time PCR (qPCR). Our initial MR analysis identified 123 plasma proteins significantly associated with VaD (P < 0.05), of which 12 maintained significance after FDR correction (FDR < 0.05). Importantly, the comprehensive pleiotropy analysis ultimately confirmed robust causal relationships for nine of these proteins with VaD. Among these, MED4 (OR = 1.819, 95% CI: 1.493-2.217, FDR < 0.001), COPS7B (OR = 1.136, 95% CI: 1.076-1.199, FDR < 0.001), CSF3 (OR = 1.262, 95% CI: 1.139-1.398, FDR < 0.001), IL26 (OR = 1.125, 95% CI: 1.066-1.186, FDR < 0.001), NRXN1 (OR = 1.125, 95% CI: 1.066-1.187, FDR < 0.001), LRRTM4 (OR = 1.418, 95% CI: 1.225-1.614, FDR < 0.001), and MAGEA3 (OR = 1.883, 95% CI: 1.403-2.529, FDR < 0.001) were identified as risk factors for VaD, with MED4 showing the strongest association. Conversely, CRYZL1 (OR = 0.387, 95% CI: 0.246-0.609, FDR < 0.001) and TMCC3 (OR = 0.327, 95% CI: 0.191-0.558, FDR < 0.001) were identified as protective factors. The Reverse MR analysis indicated no significant association between VaD and the 9 plasma proteins. In the 2-VO model, MED4 expression was significantly reduced, while NRXN1 expression was elevated compared to the sham group (P < 0.05). This study identifies several plasma proteins with a significant causal relationship with VaD, highlighting MED4 and NRXN1 as potential biomarkers and therapeutic targets. The findings were further validated in an experimental model, providing robust evidence for their roles in VaD pathogenesis. Further research is needed to elucidate the underlying mechanisms and confirm their clinical relevance.
血管性痴呆(VaD)是由脑血管疾病引起的一种常见痴呆形式,会导致认知障碍。虽然已确定了各种风险因素,但血浆蛋白在VaD病因中的作用仍知之甚少。本研究采用孟德尔随机化(MR)方法来研究血浆蛋白与VaD风险之间的因果关系,并辅以实验验证。我们使用来自全基因组关联研究(GWAS)的血浆蛋白和VaD汇总统计数据进行了两样本MR分析。血浆蛋白数据来自deCODE健康研究,涵盖35559名冰岛参与者以及4907种循环蛋白的基因关联。VaD的GWAS数据来自芬兰生物银行,包括2717名VaD患者和393024名对照。基于全基因组显著性阈值(血浆蛋白P < 5×10 ,VaD P < 5×10 )选择工具变量(IVs)。主要分析使用逆方差加权(IVW),并辅以加权中位数、MR-Egger、简单模式和加权模式方法。敏感性分析包括异质性检验、水平多效性评估和留一法分析。此外,使用双血管闭塞(2-VO)动物模型来验证关键基因,通过定量实时PCR(qPCR)测量基因表达。我们最初的MR分析确定了123种与VaD显著相关的血浆蛋白(P < 0.05),其中12种在FDR校正后仍具有显著性(FDR < 0.05)。重要的是,综合多效性分析最终证实了其中9种蛋白与VaD之间存在强有力的因果关系。其中,MED4(OR = 1.819,95%CI:1.493 - 2.217,FDR < 0.001)、COPS7B(OR = 1.136,95%CI:1.076 - 1.199,FDR < 0.001)、CSF3(OR = 1.262,95%CI:1.139 - 1.398,FDR < 0.001)、IL26(OR = 1.125,95%CI:1.066 - 1.186,FDR < 0.001)、NRXN1(OR = 1.125,95%CI:1.066 - 1.187,FDR < 0.001)、LRRTM4(OR = 1.418,95%CI:1.225 - 1.614,FDR < 0.001)和MAGEA3(OR = 1.883,95%CI:1.403 - 2.529,FDR < 0.001)被确定为VaD的风险因素中,MED4显示出最强的关联。相反,CRYZL1(OR = 0.387,95%CI:0.246 - 0.609,FDR < 0.001)和TMCC3(OR = 0.327,95%CI:0.191 - 0.558,FDR < 0.001)被确定为保护因素。反向MR分析表明VaD与这9种血浆蛋白之间无显著关联。在2-VO模型中,与假手术组相比,MED表达式显著降低,而NRXN1表达式升高(P < 0.05)。本研究确定了几种与VaD存在显著因果关系的血浆蛋白,突出了MED4和NRXN1作为潜在生物标志物和治疗靶点。研究结果在实验模型中得到进一步验证,为它们在VaD发病机制中的作用提供了有力证据。需要进一步研究以阐明潜在机制并确认它们的临床相关性。