Association of antihypertensive drug target genes with alzheimer's disease: a mendelian randomization study.

IF 7.9 1区 医学 Q1 CLINICAL NEUROLOGY Alzheimer's Research & Therapy Pub Date : 2025-01-10 DOI:10.1186/s13195-025-01671-4
He Zheng, Chaolei Chen, Yingqing Feng
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Abstract

Background: Epidemiological and genetic studies have elucidated associations between antihypertensive medication and Alzheimer's disease (AD), with the directionality of these associations varying upon the specific class of antihypertensive agents.

Methods: Genetic instruments for the expression of antihypertensive drug target genes were identified using expression quantitative trait loci (eQTL) in blood, which are associated with systolic blood pressure (SBP). Exposure was derived from existing eQTL data in blood from the eQTLGen consortium and in the brain from the PsychENCODE and subsequently replicated in GTEx V8 and BrainMeta V2. We performed two-sample Mendelian randomization (MR) to estimate the potential effect of different antihypertensive drug classes on AD using summary statistics from a meta-analysis (111,326 cases and 677,663 controls) and further replicated in FinnGen cohorts (9301 cases and 367,976 controls). The reverse causality detection, assessing horizontal pleiotropy, Bayesian co-localization, phenotype scanning, and protein quantitative trait loci (pQTL) analysis were implemented to consolidate the MR findings further.

Results: A 1-standard deviation (SD) lower expression of the angiotensin-converting enzyme (ACE) gene in blood was associated with a lower SBP of 3.92 (95% confidence interval (CI), 2.69-5.15) mmHg but an increased risk of AD (odds ratio (OR), 2.46; 95% CI, 1.82-3.33). A similar direction of association was also observed between ACE expression in prefrontal cortex (OR, 1.19; 95% CI, 1.10-1.28), frontal cortex (OR, 1.19; 95% CI, 1.11-1.27), cerebellum (OR, 1.13; 95% CI, 1.09-1.17), cortex (OR, 1.59; 95% CI, 1.33-1.28) and ACE protein levels in plasma (OR, 1.13; 95% CI, 1.09-1.17) and AD risk. Colocalization supports these results. Similar results were found in external validation. We found no evidence for an association between genetically estimated blood pressure (BP) and AD risk.

Conclusions: There findings suggest an adverse association of lower ACE messenger RNA and protein levels with an elevated risk of AD, irrespective of its BP-lowering effects. These findings warrant greater pharmacovigilance and further investigation into the effect of ACE inhibitors, particularly those that are centrally acting, on neurodegenerative symptoms in patients with AD.

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降压药靶基因与阿尔茨海默病的关联:一项孟德尔随机研究
背景:流行病学和遗传学研究已经阐明了抗高血压药物与阿尔茨海默病(AD)之间的关联,这些关联的方向性因抗高血压药物的具体类别而异。方法:利用血液中与收缩压(SBP)相关的表达数量性状位点(eQTL),鉴定抗高血压药物靶基因表达的遗传工具。暴露来自现有的eQTL数据,来自eQTLGen联盟的血液和来自PsychENCODE的大脑,随后在GTEx V8和BrainMeta V2中复制。我们采用两样本孟德尔随机化(MR)来估计不同抗高血压药物类别对AD的潜在影响,使用荟荟性分析(111,326例和677,663例对照)的汇总统计数据,并进一步在FinnGen队列(9301例和367,976例对照)中重复。通过反向因果关系检测、水平多效性评估、贝叶斯共定位、表型扫描和蛋白质数量性状位点(pQTL)分析,进一步巩固MR结果。结果:血液中血管紧张素转换酶(ACE)基因的1个标准偏差(SD)低表达与血压降低3.92(95%可信区间(CI), 2.69-5.15) mmHg相关,但AD的风险增加(优势比(OR), 2.46;95% ci, 1.82-3.33)。前额叶皮层ACE表达(OR, 1.19;95% CI, 1.10-1.28),额叶皮质(OR, 1.19;95% CI, 1.11-1.27),小脑(OR, 1.13;95% CI, 1.09-1.17),皮质(OR, 1.59;95% CI, 1.33-1.28)和血浆中ACE蛋白水平(OR, 1.13;95% CI, 1.09-1.17)和AD风险。共定位支持这些结果。在外部验证中也发现了类似的结果。我们没有发现遗传估计血压(BP)和AD风险之间存在关联的证据。结论:研究结果表明,无论其降血压效果如何,较低的ACE信使RNA和蛋白水平与AD风险升高存在不良关联。这些发现需要加强药物警戒,并进一步研究ACE抑制剂,特别是那些中枢作用的ACE抑制剂对AD患者神经退行性症状的影响。
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来源期刊
Alzheimer's Research & Therapy
Alzheimer's Research & Therapy 医学-神经病学
CiteScore
13.10
自引率
3.30%
发文量
172
审稿时长
>12 weeks
期刊介绍: Alzheimer's Research & Therapy is an international peer-reviewed journal that focuses on translational research into Alzheimer's disease and other neurodegenerative diseases. It publishes open-access basic research, clinical trials, drug discovery and development studies, and epidemiologic studies. The journal also includes reviews, viewpoints, commentaries, debates, and reports. All articles published in Alzheimer's Research & Therapy are included in several reputable databases such as CAS, Current contents, DOAJ, Embase, Journal Citation Reports/Science Edition, MEDLINE, PubMed, PubMed Central, Science Citation Index Expanded (Web of Science) and Scopus.
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