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Impact of Modifiable Risk Factors on Alzheimer’s disease: A Two-Sample Mendelian Randomization Study
Neurobiology of Aging ( IF 4.2 ) Pub Date : 2020-07-01 , DOI: 10.1016/j.neurobiolaging.2020.02.018
Zhe Wang 1 , Lei Meng 1 , Liang Shen 1 , Hong-Fang Ji 1
Affiliation  

With the steadily increasing prevalence of Alzheimer's disease (AD) and great difficulties encountered for AD drug development presently, much interest has been devoted to identifying modifiable risk factors to lower the risk of AD, while the causal associations between risk factors and AD remain inconclusive. The present study conducted a comprehensive evaluation of the causal associations between risk factors and AD development by taking the recent advancements of Mendelian randomization (MR). Inverse variance weighted (IVW), MR-Egger, weighted median, and weighted mode were used for complementary calculation. A total of 45 risk factors and corresponding studies were covered in the study. This two-sample MR (2SMR) analysis provided a suggestive association between genetically predicted higher years of schooling and reduced risks of AD, and each standard deviation (3.71 years) increased in years of schooling was associated with a 41% reduction in the risk of AD (IVW, OR: 0.59, 95% CI: 0.45-0.77). At the same time, it was genetically predicted that urate might be a risk factor in AD, and it was found that each standard deviation increase in urate levels (1.33 mg/dL) was associated with a 0.09-fold increase in the risk of AD (IVW, OR: 1.09, 95% CI: 1.01-1.18). To summarize, the 2SMR analysis indicated a suggestive association between genetically predicted higher years of schooling and reduced risks of AD, and between genetically predicted higher urate levels and increased risks of AD. The findings provide useful clues to help combat AD and warrants future studies.

中文翻译:

可改变的危险因素对阿尔茨海默病的影响:两样本孟德尔随机化研究

随着阿尔茨海默病 (AD) 患病率的稳步上升以及目前 AD 药物开发遇到的巨大困难,人们对确定可改变的风险因素以降低 AD 风险产生了很大的兴趣,而风险因素与 AD 之间的因果关系仍然没有定论。本研究利用孟德尔随机化 (MR) 的最新进展,对风险因素与 AD 发展之间的因果关系进行了综合评估。逆方差加权(IVW)、MR-Egger、加权中位数和加权模式用于补充计算。该研究共涵盖了 45 个风险因素和相应的研究。这种双样本 MR (2SMR) 分析提供了遗传预测的较高受教育年限与 AD 风险降低之间的暗示性关联,受教育年限每增加一个标准差(3.71 年),AD 风险就会降低 41%(IVW,OR:0.59,95% CI:0.45-0.77)。同时,遗传学预测尿酸盐可能是 AD 的危险因素,发现尿酸盐水平每增加一个标准差(1.33 mg/dL),患 AD 的风险就会增加 0.09 倍(IVW, OR: 1.09, 95% CI: 1.01-1.18)。总而言之,2SMR 分析表明遗传预测较高的受教育年限与 AD 风险降低之间以及遗传预测较高的尿酸盐水平与 AD 风险增加之间存在暗示性关联。这些发现为帮助对抗 AD 提供了有用的线索,并保证了未来的研究。71 岁)受教育年限增加与 AD 风险降低 41% 相关(IVW,OR:0.59,95% CI:0.45-0.77)。同时,遗传学预测尿酸盐可能是 AD 的危险因素,发现尿酸盐水平每增加一个标准差(1.33 mg/dL),患 AD 的风险就会增加 0.09 倍(IVW, OR: 1.09, 95% CI: 1.01-1.18)。总而言之,2SMR 分析表明遗传预测较高的受教育年限与 AD 风险降低之间以及遗传预测较高的尿酸盐水平与 AD 风险增加之间存在暗示性关联。这些发现为帮助对抗 AD 提供了有用的线索,并保证了未来的研究。71 岁)受教育年限增加与 AD 风险降低 41% 相关(IVW,OR:0.59,95% CI:0.45-0.77)。同时,遗传学预测尿酸盐可能是 AD 的危险因素,结果发现尿酸盐水平每增加一个标准差(1.33 mg/dL),患 AD 的风险就会增加 0.09 倍(IVW, OR: 1.09, 95% CI: 1.01-1.18)。总而言之,2SMR 分析表明遗传预测较高的受教育年限与 AD 风险降低之间以及遗传预测较高的尿酸盐水平与 AD 风险增加之间存在暗示性关联。这些发现为帮助对抗 AD 提供了有用的线索,并保证了未来的研究。并且发现尿酸盐水平每增加一个标准偏差 (1.33 mg/dL),AD 风险就会增加 0.09 倍(IVW,OR:1.09,95% CI:1.01-1.18)。总而言之,2SMR 分析表明遗传预测较高的受教育年限与 AD 风险降低之间以及遗传预测较高的尿酸盐水平与 AD 风险增加之间存在暗示性关联。这些发现为帮助对抗 AD 提供了有用的线索,并保证了未来的研究。并且发现尿酸盐水平每增加一个标准偏差 (1.33 mg/dL),AD 风险就会增加 0.09 倍(IVW,OR:1.09,95% CI:1.01-1.18)。总而言之,2SMR 分析表明遗传预测较高的受教育年限与 AD 风险降低之间以及遗传预测较高的尿酸盐水平与 AD 风险增加之间存在暗示性关联。这些发现为帮助对抗 AD 提供了有用的线索,并保证了未来的研究。以及遗传预测的较高尿酸盐水平和 AD 风险增加之间。这些发现为帮助对抗 AD 提供了有用的线索,并保证了未来的研究。以及遗传预测的较高尿酸盐水平和 AD 风险增加之间。这些发现为帮助对抗 AD 提供了有用的线索,并保证了未来的研究。
更新日期:2020-07-01
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