Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Department of Cardiac Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Inflammopharmacology. 2024 Dec;32(6):3913-3923. doi: 10.1007/s10787-024-01583-z. Epub 2024 Oct 25.
There is a growing body of evidence indicating the significant role of the immune system and immune cells in the progression of Alzheimer's disease (AD). However, the exact role of genes from various immune cell types in AD remains unclear. We aimed to utilize summary data-based Mendelian randomization (SMR) to explore the potential causal relationships between genes in specific immune cells and the risk of AD.
By utilizing data sets of expression quantitative trait loci (eQTL) for 14 different immune cell types and large-scale AD genome-wide association study (GWAS), we employed SMR to identify key genes associated with AD within specific immune cells. Sensitivity analyses, including F-statistic, colocalization, and assessment of horizontal pleiotropy, were further conducted to validate the discovered genes. In addition, replication analyses were performed in AD GWAS from the FinnGen consortium. Finally, we further identified existing drugs that target or interact with the druggable genes and reviewed the studies about the associations between these drugs and AD.
SMR analysis revealed 342 genes associated with AD across 14 immune cell types. Further sensitivity analyses identified nine genes, CTSH, FCER1G, FNBP4, HLA-E, JAZF1, KNOP1, PLEKHA1, RP11-960L18.1, and ZNF638 that had significant associations with AD across nine specific immune cell types. JAZF1, KNOP1 and PLEKHA1 were replicated in an independent analysis using the GWAS data. The review on gene-related drugs also supported these findings.
Our research suggests that the expression of the genes JAZF1, KNOP1, and PLEKHA1 in specific immune cell types is related to the risk of AD.
越来越多的证据表明免疫系统和免疫细胞在阿尔茨海默病(AD)的发展中起着重要作用。然而,各种免疫细胞类型的基因在 AD 中的确切作用仍不清楚。我们旨在利用基于汇总数据的孟德尔随机化(SMR)来探索特定免疫细胞中的基因与 AD 风险之间的潜在因果关系。
我们利用 14 种不同免疫细胞的表达数量性状基因座(eQTL)数据集和大规模 AD 全基因组关联研究(GWAS),采用 SMR 鉴定与特定免疫细胞中 AD 相关的关键基因。进一步进行了敏感性分析,包括 F 统计量、共定位和水平多效性评估,以验证发现的基因。此外,还在 FinnGen 联盟的 AD GWAS 中进行了复制分析。最后,我们进一步确定了针对这些可药物靶标基因的现有药物,并回顾了这些药物与 AD 之间关联的研究。
SMR 分析揭示了 14 种免疫细胞中与 AD 相关的 342 个基因。进一步的敏感性分析确定了九个与 AD 相关的基因,CTSH、FCER1G、FNBP4、HLA-E、JAZF1、KNOP1、PLEKHA1、RP11-960L18.1 和 ZNF638,它们在九个特定免疫细胞类型中与 AD 有显著关联。JAZF1、KNOP1 和 PLEKHA1 在使用 GWAS 数据进行的独立分析中得到了复制。基因相关药物的综述也支持了这些发现。
我们的研究表明,特定免疫细胞中 JAZF1、KNOP1 和 PLEKHA1 基因的表达与 AD 的风险有关。