Suppr超能文献

意大利人群中的载脂蛋白E与阿尔茨海默病:系统评价与荟萃分析

Apolipoprotein E and Alzheimer's Disease in Italian Population: Systematic Review and Meta-Analysis.

作者信息

Abrego-Guandique Diana Marisol, Saraceno Giorgia Francesca, Cannataro Roberto, Manzzo de Burnside Marilyn, Caroleo Maria Cristina, Cione Erika

机构信息

Department of Health Sciences, University of Magna Graecia Catanzaro, 88100 Catanzaro, Italy.

Department of Pharmacy, Health and Nutrition Sciences, University of Calabria, 87036 Rende, Italy.

出版信息

Brain Sci. 2024 Sep 7;14(9):908. doi: 10.3390/brainsci14090908.

Abstract

This meta-analysis with a systematic review was undertaken to assess the association between allelic genotypes and the risk of Alzheimer's disease (AD) in the Italian population. The Web of Science, PubMed, and Scopus databases were searched until 15 November 2023. The odds ratio (OR) with a 95% confidence interval (CI) was calculated using fixed and random effect models, depending on the I statistic value. The systematic review and meta-analysis were conducted in agreement with the PRISMA guideline and registered with PROSPERO (CRD42023492580). Our meta-analysis based on 15 studies revealed a higher risk of AD among Italian individuals carrying the ε4 allele (OR = 3.60, 95% CI [2.90-4.47], < 0.0001). The association of AD genotype ε2ε4 (OR = 1.36, 95% CI [0.76-2.41], = 0.29) was not statistically significant, while ε3ε4 (OR = 3.43, 95% CI [2.95-3.99], < 0.0001) has a high risk of AD development; the risk is more notably in the ε4ε4 genotype (OR = 7.08, 95% CI [4.22-11.86], < 0.0001). The ε2 allele has a protective effect ( ε2 (OR = 0.47, 95% CI [0.29-0.74], = 0.0013)), and similar results were achieved by ε3 (OR  =  0.49, 95% CI [0.37-0.65], < 0.0001). Subgroup analysis of three areas of Italy (southern, northern, and center) revealed that that 4 allele was a risk factor with a higher OR in northern Italy (OR 4.22; 95% CI [3.46-5.16], < 0.0001) compared to southern and center Italy (OR 3.02; 95% CI [2.28-4.01], < 0.0001 and OR 3.97; 95% CI [1.37-11.56], < 0.0001, respectively). As well, genotype carriers had a significantly higher OR in northern Italy (OR 9.69; 95% CI [4.94-18.99], < 0.0001) compared to in southern and center Italy (OR 4.38; 95% CI [1.54-12.47], < 0.0001 and OR 3.59; 95% CI [0.87-14.86], < 0.0001, respectively). : This systematic review with a meta-analysis of the Italian population on alleles, genotyping, and AD incidence, highlights that individuals harboring ε4 have a higher risk of developing AD compared to those with other alleles. It also supports the protective effect of the ε2 allele against the progress of AD. The qualitative analysis on the complex genetic interactions influencing Alzheimer risk emphasizes the need for further research on genetic and environmental factors for effective prevention strategies.

摘要

本项系统评价的荟萃分析旨在评估意大利人群中等位基因与阿尔茨海默病(AD)风险之间的关联。检索了Web of Science、PubMed和Scopus数据库直至2023年11月15日。根据I统计量值,使用固定效应模型和随机效应模型计算比值比(OR)及95%置信区间(CI)。系统评价和荟萃分析按照PRISMA指南进行,并在PROSPERO(CRD42023492580)注册。我们基于15项研究的荟萃分析显示,携带ε4等位基因的意大利个体患AD的风险更高(OR = 3.60,95% CI [2.90 - 4.47],P < 0.0001)。AD基因型ε2ε4的关联(OR = 1.36,95% CI [0.76 - 2.41],P = 0.29)无统计学意义,而ε3ε4(OR = 3.43,95% CI [2.95 - 3.99],P < 0.0001)患AD的风险较高;ε4ε4基因型的风险更显著(OR = 7.08,95% CI [4.22 - 11.86],P < 0.0001)。ε2等位基因具有保护作用(ε2(OR = 0.47,95% CI [0.29 - 0.74],P = 0.0013)),ε3也有类似结果(OR = 0.49,95% CI [0.37 - 0.65],P < 0.0001)。对意大利三个地区(南部、北部和中部)的亚组分析显示,与意大利南部和中部相比,ε4等位基因在意大利北部是一个风险因素,OR值更高(OR 4.22;95% CI [3.46 - 5.16],P < 0.0001)(分别为OR 3.02;95% CI [2.28 - 4.01],P < 0.0001和OR 3.97;95% CI [1.37 - 11.56],P < 0.0001)。同样,与意大利南部和中部相比,该基因型携带者在意大利北部的OR值显著更高(OR 9.69;95% CI [4.94 - 18.99],P < 0.0001)(分别为OR 4.38;95% CI [1.54 - 12.47],P < 0.0001和OR 3.59;95% CI [0.87 - 14.86],P < 0.0001)。这项对意大利人群关于等位基因、基因分型和AD发病率的系统评价及荟萃分析强调,与携带其他等位基因的个体相比,携带ε4的个体患AD的风险更高。它还支持ε2等位基因对AD进展的保护作用。对影响阿尔茨海默病风险的复杂基因相互作用的定性分析强调,需要进一步研究基因和环境因素以制定有效的预防策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b0/11430190/68781c7c0da4/brainsci-14-00908-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验