背景:关于巨细胞病毒(CMV)感染与阿尔茨海默病(AD)相关的证据很少,结果不一致。
目的:探讨CMV感染与AD发病风险的关系。
方法:关于CMV感染与AD之间关系的观察性研究来自PubMed,Embase,WebofScience,和Cochrane图书馆,直到2022年9月30日。使用纽卡斯尔-渥太华量表评估纳入研究的质量。随机效应荟萃分析使用通用逆方差方法进行,其次是基于研究设计的敏感性分析和亚组分析,regions,调整,和人口类型。
结果:我们的搜索产生了870篇文章,其中200个是重复的,663个不符合纳入标准,最终有6,772名参与者进行了7项研究。在总结分析中没有观察到关于CMV感染和AD风险关联的有力证据(比值比[OR]=1.33;95%置信区间[CI]:0.88,2.03,I2=69.9%)。然而,亚组分析显示,东亚人的AD风险增加(OR=2.39;95%CI:1.63,3.50,I2=0.00%),队列研究(OR=1.99;95%CI:1.35,2.94,I2=28.20%),和具有混杂校正的研究(OR=2.05;95%CI:1.52,2.77,I2=0.00%)。
结论:这项荟萃分析提供了证据支持CMV感染与AD之间相关性的异质性。未来有必要进行更大样本量和多种族人群的研究。
BACKGROUND: Evidence on the association of cytomegalovirus (CMV) infection with Alzheimer\'s disease (AD) is scarce and the results are inconsistent.
OBJECTIVE: To investigate the association of CMV infection with the risk of AD.
METHODS: Observational studies on the relationship between CMV infection and AD were identified from PubMed, Embase, Web of Science, and the Cochrane Library until September 30, 2022. The quality of included studies was assessed using the Newcastle-Ottawa Scale. Random-effect meta-analysis was performed using a generic inverse-variance method, followed by sensitivity analyses and subgroup analyses based on study designs, regions, adjustments, and population types.
RESULTS: Our search yielded 870 articles, of which 200 were duplicates and 663 did not meet the inclusion criteria, and finally yielded seven studies with 6,772 participants. No strong evidence was observed in the summary analysis for the association of CMV infection and risk of AD (odds ratio [OR] = 1.33; 95% confidence interval [CI]: 0.88, 2.03, I2 =69.9%). However, subgroup analysis showed that an increased risk of AD was detected in East Asians (OR = 2.39; 95% CI: 1.63, 3.50, I2 = 0.00%), cohort studies (OR = 1.99; 95% CI: 1.35, 2.94, I2 = 28.20%), and studies with confounder adjustment (OR = 2.05; 95% CI: 1.52, 2.77, I2 = 0.00%).
CONCLUSIONS: This meta-analysis provides evidence to support the heterogeneity of the associations between CMV infection and AD. Future studies with larger sample sizes and multi-ethnic populations are necessary.