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首页|期刊导航|陆军军医大学学报|神经系统疾病的早期起源:低出生体质量与多发性硬化因果关系的孟德尔随机化研究证据

神经系统疾病的早期起源:低出生体质量与多发性硬化因果关系的孟德尔随机化研究证据

吕宏尧 房晓瑜 陈峥 李成英 许江 郭旺 崔雅斌 马翔宇

陆军军医大学学报2026,Vol.48Issue(9):1262-1272,11.
陆军军医大学学报2026,Vol.48Issue(9):1262-1272,11.DOI:10.16016/j.2097-0927.202601125

神经系统疾病的早期起源:低出生体质量与多发性硬化因果关系的孟德尔随机化研究证据

Early origins of neurological disorders:Mendelian randomization evidence for a causal relationship between low birth weight and multiple sclerosis

吕宏尧 1房晓瑜 1陈峥 1李成英 1许江 1郭旺 1崔雅斌 1马翔宇1

作者信息

  • 1. 陆军军医大学(第三军医大学)军事预防医学系军队流行病学教研室,重庆
  • 折叠

摘要

Abstract

Objective With the deepening of global aging and neurological disorders having become the second leading cause of death and primary cause of disability worldwide,the prevention of neurological disorders has emerged as an increasingly critical issue.This study employed a two-sample Mendelian randomization(MR)analysis to evaluate the causal associations between birth weight and risk of 6 common neurological disorders,thereby providing genetic epidemiological evidence for the early origins hypothesis of neurological disorders.Methods This study utilized publicly available genome-wide association study summary statistics.Genetic variants significantly associated with birth weight were selected as instrumental variables to construct two instrumental variable sets comprising 7-single nucleotide polymorphism(SNP)and 60-SNP,respectively.The two-sample MR outcomes included Alzheimer's disease(AD),Parkinson's disease(PD),multiple sclerosis,epilepsy,migraine,and cerebrovascular disease,with all relevant data obtained from publicly available datasets on the OpenGWAS platform.Inverse variance weighting was used as the primary analysis,with robustness validation by MR-Egger,weighted median,simple mode,and weighted mode methods.Heterogeneity and horizontal pleiotropy were assessed using Cochran's Q test,horizontal pleiotropy test,leave-one-out analysis,and funnel plots.Results In the 7-SNP analysis,genetically predicted low birth weight was associated with an increased risk of multiple sclerosis,with an OR of 1.323(95%CI:1.011 to 1.732,P=0.041)obtained using inverse variance weighting.No significant causal relationships were observed for the remaining 5 neurological disorders(AD,PD,migraine,cerebrovascular disease,and epilepsy).In the 60-SNP analysis,the findings for multiple sclerosis were consistent in direction with the aforementioned association and remained statistically significant,yielding an OR value of 1.319(95%CI:1.006 to 1.731,P=0.045)by inverse variance weighting.Although PD showed negative association effects in the weighted median and weighted mode methods,the results of inverse variance weighting did not reach significance(OR=0.811,95%CI:0.608 to 1.081,P=0.154).There were no significant causal relationships for the remaining 4 neurological disorders(AD,cerebrovascular disease,epilepsy,and migraine).Sensitivity analyses for multiple sclerosis did not indicate significant systematic pleiotropy in either the 7-SNP and 60-SNP models;heterogeneity increased after expanding from 7-SNP to 60-SNP,but leave-one-out analysis demonstrated that the pooled effect was not driven by any single SNP.Conclusion Genetic evidence supports a potential causal relationship between low birth weight and an increased risk of multiple sclerosis,whereas no clear causal relationships are identified with AD,epilepsy,migraine,PD,or cerebrovascular disease.

关键词

出生体质量/神经系统疾病/孟德尔随机化/多发性硬化/因果关联

Key words

birth weight/neurological disorders/Mendelian randomization/multiple sclerosis/causal association

分类

医药卫生

引用本文复制引用

吕宏尧,房晓瑜,陈峥,李成英,许江,郭旺,崔雅斌,马翔宇..神经系统疾病的早期起源:低出生体质量与多发性硬化因果关系的孟德尔随机化研究证据[J].陆军军医大学学报,2026,48(9):1262-1272,11.

基金项目

重庆英才计划·青年拔尖人才(cstc2021ycjh-bgzxm0008/CQYC202005003) Supported by the Chongqing Talent Program·Young Top-Notch Talent Program(cstc2021ycjh-bgzxm0008/CQYC202005003). (cstc2021ycjh-bgzxm0008/CQYC202005003)

陆军军医大学学报

2097-0927

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