医学危险因素、载脂蛋白e单倍型与阿尔茨海默病:一项大规模分析。

IF 7.8 Q2 BUSINESS
Uri Elias, Lidor Gazit, Roei Zucker, Amos Stern, Michal Linial, Gilles Allali, Tamir Ben-Hur, Gad A Marshall, Shahar Arzy
{"title":"医学危险因素、载脂蛋白e单倍型与阿尔茨海默病:一项大规模分析。","authors":"Uri Elias, Lidor Gazit, Roei Zucker, Amos Stern, Michal Linial, Gilles Allali, Tamir Ben-Hur, Gad A Marshall, Shahar Arzy","doi":"10.1016/j.tjpad.2025.100301","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The multifactorial nature of Alzheimer's disease (AD) has become increasingly evident. In addition to well-established features like neurodegeneration, amyloid-beta and tau deposition, or glial changes, other processes-such as metabolic, circulatory, and inflammatory factors-may also play a key role in driving or accelerating AD-related pathology and cognitive decline. These factors represent important targets for slowing disease progression.</p><p><strong>Objectives: </strong>Although many studies have examined individual risk factors and meta-analyses have been performed, a large-scale, comprehensive comparison using formal medical data from a single, unified cohort is needed.</p><p><strong>Design: </strong>A retrospective case-control study leveraging comprehensive health database.</p><p><strong>Setting: </strong>Data were obtained from the UK-Biobank, a large (∼500 K people) population-based biomedical database in the United Kingdom.</p><p><strong>Participants: </strong>The study included participants aged 40-69 at enrollment between 2006 and 2010, comprising 3,843 individuals who were clinically diagnosed with AD by August 2022 and 387,275 individuals without dementia or cognitive-impairment diagnoses.</p><p><strong>Measurements: </strong>ICD-10-coded diagnoses, recorded at least 10 years prior to AD diagnosis, were analyzed. Logistic regression was used to estimate the impact and significance of various medical conditions and their interactions with genetic risk factors, while accounting for demographic determinants.</p><p><strong>Results: </strong>The analysis identified 45 medical factors (96 ICD-10 entities) across multiple systems-particularly metabolic, circulatory, gastrointestinal, and sensorimotor-that significantly differentiated individuals with clinical AD from cognitively unimpaired individuals. Interaction analyses revealed that circulatory and metabolic factors had a weaker influence on AD risk in Apolipoprotein E ε4 carriers, suggesting a gene-environment interaction in disease susceptibility.</p><p><strong>Conclusions: </strong>These findings enhance the understanding of system-level risk factors for clinical AD, highlight the relevance of less frequently reported factors in the AD prevention literature-such as gastrointestinal and sensorimotor disorders-and underscore the complex interplay between genetic susceptibility and vascular risk factors.</p>","PeriodicalId":22711,"journal":{"name":"The Journal of Prevention of Alzheimer's Disease","volume":" ","pages":"100301"},"PeriodicalIF":7.8000,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12501343/pdf/","citationCount":"0","resultStr":"{\"title\":\"Medical risk factors, ApoE haplotype, and Alzheimer's disease: a large-scale analysis.\",\"authors\":\"Uri Elias, Lidor Gazit, Roei Zucker, Amos Stern, Michal Linial, Gilles Allali, Tamir Ben-Hur, Gad A Marshall, Shahar Arzy\",\"doi\":\"10.1016/j.tjpad.2025.100301\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The multifactorial nature of Alzheimer's disease (AD) has become increasingly evident. In addition to well-established features like neurodegeneration, amyloid-beta and tau deposition, or glial changes, other processes-such as metabolic, circulatory, and inflammatory factors-may also play a key role in driving or accelerating AD-related pathology and cognitive decline. These factors represent important targets for slowing disease progression.</p><p><strong>Objectives: </strong>Although many studies have examined individual risk factors and meta-analyses have been performed, a large-scale, comprehensive comparison using formal medical data from a single, unified cohort is needed.</p><p><strong>Design: </strong>A retrospective case-control study leveraging comprehensive health database.</p><p><strong>Setting: </strong>Data were obtained from the UK-Biobank, a large (∼500 K people) population-based biomedical database in the United Kingdom.</p><p><strong>Participants: </strong>The study included participants aged 40-69 at enrollment between 2006 and 2010, comprising 3,843 individuals who were clinically diagnosed with AD by August 2022 and 387,275 individuals without dementia or cognitive-impairment diagnoses.</p><p><strong>Measurements: </strong>ICD-10-coded diagnoses, recorded at least 10 years prior to AD diagnosis, were analyzed. Logistic regression was used to estimate the impact and significance of various medical conditions and their interactions with genetic risk factors, while accounting for demographic determinants.</p><p><strong>Results: </strong>The analysis identified 45 medical factors (96 ICD-10 entities) across multiple systems-particularly metabolic, circulatory, gastrointestinal, and sensorimotor-that significantly differentiated individuals with clinical AD from cognitively unimpaired individuals. Interaction analyses revealed that circulatory and metabolic factors had a weaker influence on AD risk in Apolipoprotein E ε4 carriers, suggesting a gene-environment interaction in disease susceptibility.</p><p><strong>Conclusions: </strong>These findings enhance the understanding of system-level risk factors for clinical AD, highlight the relevance of less frequently reported factors in the AD prevention literature-such as gastrointestinal and sensorimotor disorders-and underscore the complex interplay between genetic susceptibility and vascular risk factors.</p>\",\"PeriodicalId\":22711,\"journal\":{\"name\":\"The Journal of Prevention of Alzheimer's Disease\",\"volume\":\" \",\"pages\":\"100301\"},\"PeriodicalIF\":7.8000,\"publicationDate\":\"2025-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12501343/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of Prevention of Alzheimer's Disease\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.tjpad.2025.100301\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/8/6 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Prevention of Alzheimer's Disease","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.tjpad.2025.100301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/6 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

摘要

背景:阿尔茨海默病(AD)的多因素性质越来越明显。除了神经退行性变、淀粉样蛋白和tau沉积或神经胶质改变等公认的特征外,代谢、循环和炎症因素等其他过程也可能在驱动或加速ad相关病理和认知能力下降方面发挥关键作用。这些因素是减缓疾病进展的重要目标。目的:虽然许多研究检查了个体风险因素并进行了荟萃分析,但需要使用来自单一统一队列的正式医疗数据进行大规模全面比较。设计:利用综合健康数据库的回顾性病例对照研究。背景:数据来自UK-Biobank,这是一个基于英国人口的大型生物医学数据库(约50万人)。参与者:该研究纳入了2006年至2010年间年龄在40-69岁之间的参与者,包括3843名在2022年8月之前被临床诊断为AD的个体和387275名未被诊断为痴呆或认知障碍的个体。测量方法:分析icd -10编码诊断,记录在AD诊断前至少10年。使用逻辑回归来估计各种医疗条件及其与遗传风险因素的相互作用的影响和重要性,同时考虑人口统计学决定因素。结果:分析确定了跨多个系统的45个医学因素(96个ICD-10实体),特别是代谢、循环、胃肠道和感觉运动,这些因素显著区分了临床AD患者和认知功能未受损的个体。相互作用分析显示,循环和代谢因素对载脂蛋白E ε4携带者AD风险的影响较弱,提示疾病易感性存在基因-环境相互作用。结论:这些发现增强了对临床AD的系统级危险因素的理解,强调了在AD预防文献中较少报道的因素(如胃肠道和感觉运动障碍)的相关性,并强调了遗传易感性和血管危险因素之间复杂的相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Medical risk factors, ApoE haplotype, and Alzheimer's disease: a large-scale analysis.

Medical risk factors, ApoE haplotype, and Alzheimer's disease: a large-scale analysis.

Medical risk factors, ApoE haplotype, and Alzheimer's disease: a large-scale analysis.

Medical risk factors, ApoE haplotype, and Alzheimer's disease: a large-scale analysis.

Background: The multifactorial nature of Alzheimer's disease (AD) has become increasingly evident. In addition to well-established features like neurodegeneration, amyloid-beta and tau deposition, or glial changes, other processes-such as metabolic, circulatory, and inflammatory factors-may also play a key role in driving or accelerating AD-related pathology and cognitive decline. These factors represent important targets for slowing disease progression.

Objectives: Although many studies have examined individual risk factors and meta-analyses have been performed, a large-scale, comprehensive comparison using formal medical data from a single, unified cohort is needed.

Design: A retrospective case-control study leveraging comprehensive health database.

Setting: Data were obtained from the UK-Biobank, a large (∼500 K people) population-based biomedical database in the United Kingdom.

Participants: The study included participants aged 40-69 at enrollment between 2006 and 2010, comprising 3,843 individuals who were clinically diagnosed with AD by August 2022 and 387,275 individuals without dementia or cognitive-impairment diagnoses.

Measurements: ICD-10-coded diagnoses, recorded at least 10 years prior to AD diagnosis, were analyzed. Logistic regression was used to estimate the impact and significance of various medical conditions and their interactions with genetic risk factors, while accounting for demographic determinants.

Results: The analysis identified 45 medical factors (96 ICD-10 entities) across multiple systems-particularly metabolic, circulatory, gastrointestinal, and sensorimotor-that significantly differentiated individuals with clinical AD from cognitively unimpaired individuals. Interaction analyses revealed that circulatory and metabolic factors had a weaker influence on AD risk in Apolipoprotein E ε4 carriers, suggesting a gene-environment interaction in disease susceptibility.

Conclusions: These findings enhance the understanding of system-level risk factors for clinical AD, highlight the relevance of less frequently reported factors in the AD prevention literature-such as gastrointestinal and sensorimotor disorders-and underscore the complex interplay between genetic susceptibility and vascular risk factors.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
The Journal of Prevention of Alzheimer's Disease
The Journal of Prevention of Alzheimer's Disease Medicine-Psychiatry and Mental Health
CiteScore
9.20
自引率
0.00%
发文量
0
期刊介绍: The JPAD Journal of Prevention of Alzheimer’Disease will publish reviews, original research articles and short reports to improve our knowledge in the field of Alzheimer prevention including: neurosciences, biomarkers, imaging, epidemiology, public health, physical cognitive exercise, nutrition, risk and protective factors, drug development, trials design, and heath economic outcomes.JPAD will publish also the meeting abstracts from Clinical Trial on Alzheimer Disease (CTAD) and will be distributed both in paper and online version worldwide.We hope that JPAD with your contribution will play a role in the development of Alzheimer prevention.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信