中国卒中杂志2025，Vol.20Issue(6)：699-709,11.DOI:10.3969/j.issn.1673-5765.2025.06.005
基于多组学数据的药物靶点孟德尔随机化及其在心脑血管疾病防治研究中的应用
Drug-Target Mendelian Randomization Based on Multi-omics Data and Its Application in the Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases
摘要
Abstract
Cardiovascular and cerebrovascular diseases are leading causes of death and disability worldwide,necessitating sustained drug development efforts to alleviate the substantial burden on society and healthcare systems.Drug-target Mendelian randomization(MR)employs cis protein quantitative trait loci as instrumental variables to investigate causal relationships between protein targets and disease outcomes in observational studies,thereby providing robust preclinical evidence for drug development.In the field of cardiovascular and cerebrovascular diseases,this approach has been widely applied for target screening,adverse reaction assessment,and drug repurposing.This article systematically elaborates the analytical framework of drug-target MR(including instrumental variable selection,effect estimation,sensitivity analysis,adverse reactions,and mediation analysis),summarizes the research progress of drug targets such as lipid-lowering and anti-inflammatory in the treatment of cardiovascular and cerebrovascular diseases and discusses its limitations and future directions in specialized disease cohort studies.These insights aim to inform the discovery of novel drug targets for cardiovascular and cerebrovascular diseases.关键词
心脑血管疾病/药物靶点/因果推断/孟德尔随机化Key words
Cardiovascular and cerebrovascular disease/Drug target/Causal inference/Mendelian randomization分类
医药卫生引用本文复制引用
樊哲,姜明慧,程丝,刘斯洋..基于多组学数据的药物靶点孟德尔随机化及其在心脑血管疾病防治研究中的应用[J].中国卒中杂志,2025,20(6):699-709,11.基金项目
国家重点研发计划(2022YFC2502400)国家自然科学基金(82471304)中国科协青年人才托举工程(2023QNRC001) （2022YFC2502400）
