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肥胖与阿尔茨海默病的关联:多项生物信息学分析。

Associations Between Obesity and Alzheimer's Disease: Multiple Bioinformatic Analyses.

机构信息

Institute of Biomedical Research, Shandong University of Technology, Zibo, Shandong, People's Republic of China.

Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, Shandong, People's Republic of China.

出版信息

J Alzheimers Dis. 2021;80(1):271-281. doi: 10.3233/JAD-201235.

Abstract

BACKGROUND

Identifying modifiable risk factors, such as obesity, to lower the prevalence of Alzheimer's disease (AD) has gained much interest. However, whether the association is causal remains to be evaluated.

OBJECTIVE

The present study was designed: 1) to make a quantitative assessment of the association between obesity and AD; 2) to validate whether there was a causal association between them; and 3) to provide genetic clues for the association through a network-based analysis.

METHODS

Two-sample Mendelian randomization (2SMR) analysis, meta-analysis, and protein-protein interaction (PPI) network analysis, were employed.

RESULTS

Firstly, the meta-analysis based on 9 studies comprising 6,986,436 subjects indicated that midlife obesity had 33%higher AD odds than controls (OR = 1.33, 95%CI = [1.03, 1.62]), while late-life obesity were inversely associated with AD risk (OR = 0.57, 95%CI = [0.47, 0.68]). Secondly, 2SMR analysis indicated that there was no causal association between them. Thirdly, CARTPT was identified to be shared by the anti-obesity drug targets and AD susceptibility genes. Further PPI network analysis found that CARTPT interacted with CD33, a strong genetic locus linked to AD. Finally, 2SMR analysis showed that CNR1 could be a protective factor for AD.

CONCLUSION

Multiple bioinformatic analyses indicated that midlife obesity might increase the risk of AD, while current evidence indicated that there was no causal association between them. Further, CARTPT might be an important factor linking the two disease conditions. It could help to better understand the mechanisms underlying the associations between obesity and AD.

摘要

背景

识别可改变的风险因素,如肥胖,以降低阿尔茨海默病(AD)的患病率引起了广泛关注。然而,这种关联是否具有因果关系仍有待评估。

目的

本研究旨在:1)定量评估肥胖与 AD 之间的关联;2)验证两者之间是否存在因果关系;3)通过网络分析为这种关联提供遗传线索。

方法

采用两样本 Mendelian 随机化(2SMR)分析、荟萃分析和蛋白质-蛋白质相互作用(PPI)网络分析。

结果

首先,基于 9 项研究(共包含 6986436 名受试者)的荟萃分析表明,中年肥胖者患 AD 的几率比对照组高 33%(OR=1.33,95%CI=[1.03,1.62]),而晚年肥胖者则与 AD 风险呈负相关(OR=0.57,95%CI=[0.47,0.68])。其次,2SMR 分析表明两者之间没有因果关系。第三,发现 CARTPT 与抗肥胖药物靶点和 AD 易感基因共享。进一步的 PPI 网络分析发现,CARTPT 与 CD33 相互作用,后者是与 AD 强关联的遗传基因座。最后,2SMR 分析表明 CNR1 可能是 AD 的保护因素。

结论

多种生物信息学分析表明,中年肥胖可能会增加 AD 的风险,而目前的证据表明两者之间没有因果关系。此外,CARTPT 可能是连接这两种疾病的重要因素。它有助于更好地理解肥胖与 AD 之间关联的机制。

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