Abdul Aziz Md, Md Ashraf Ghulam, Safiqul Islam Mohammad
Department of Pharmacy, Faculty of Pharmacy and Health Sciences, State University of Bangladesh, Dhaka-1205, Bangladesh.
Laboratory of Pharmacogenomics and Molecular Biology, Department of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur-3814, Noakhali, Bangladesh.
Curr Alzheimer Res. 2022;19(4):302-316. doi: 10.2174/1567205019666220511140955.
Alzheimer's disease (AD) is the most common form of neurodegenerative disorder. The association of BIN1, CLU, and IDE genetic polymorphisms with AD risk have been evaluated overtimes that produced conflicting outcomes.
We performed this meta-analysis to investigate the contribution of BIN1 (rs744373 and rs7561528), CLU (rs11136000 and rs9331888), and IDE (rs1887922) polymorphisms to AD risk.
From a systemic literature search up to July 15, 2021, we included 25 studies with rs744373, 16 studies with rs7561528, 37 studies with rs11136000, 16 studies with rs9331888, and 4 studies with rs1887922. To analyze the correlation, we constructed seven genetic models that used odds ratio and 95% confidence intervals. We used RevMan 5.4 for meta-analysis.
Our study suggests that BIN1 rs744373 is associated with a significantly increased risk of AD in five genetic models (OR>1). Again, CLU rs11136000 showed reduced association in all genetic models (OR<1). CLU rs9331888 revealed an increased association in two models (OR>1). The IDE rs1887922 showed significantly increased risk in four models (OR>1). From subgroup analysis, a significantly increased risk of AD was observed in Caucasians and Asians for BIN1 rs744373. Again, BIN1 rs7561528 showed a significantly enhanced risk of AD only in Caucasians. CLU rs11136000 showed significantly reduced risk in Caucasians but rs9331888 showed increased risk in the same ethnicity.
Our meta-analysis confirms the association of BIN1 rs744373, CLU rs9331888, and IDE rs1887922 polymorphisms with an increased risk of AD, especially in Caucasians. Again, CLU rs11136000 is associated with reduced AD risk in the overall population and Caucasians.
阿尔茨海默病（AD）是神经退行性疾病最常见的形式。BIN1、CLU和IDE基因多态性与AD风险的关联已被多次评估，但结果相互矛盾。
我们进行这项荟萃分析，以研究BIN1（rs744373和rs7561528）、CLU（rs11136000和rs9331888）和IDE（rs1887922）基因多态性对AD风险的影响。
通过截至2021年7月15日的系统文献检索，我们纳入了25项关于rs744373的研究、16项关于rs7561528的研究、37项关于rs11136000的研究、16项关于rs9331888的研究以及4项关于rs1887922的研究。为分析相关性，我们构建了7种遗传模型，使用比值比和95%置信区间。我们使用RevMan 5.4进行荟萃分析。
我们的研究表明，BIN1 rs744373在5种遗传模型中与AD风险显著增加相关（OR>1）。同样，CLU rs11136000在所有遗传模型中显示关联降低（OR<1）。CLU rs9331888在两种模型中显示关联增加（OR>1）。IDE rs1887922在4种模型中显示风险显著增加（OR>1）。亚组分析显示，对于BIN1 rs744373，白种人和亚洲人的AD风险显著增加。同样，BIN1 rs7561528仅在白种人中显示AD风险显著增加。CLU rs11136000在白种人中显示风险显著降低，但rs9331888在同一族裔中显示风险增加。
我们的荟萃分析证实了BIN1 rs744373、CLU rs93
