Alzheimer's disease (AD), as a progressive brain disease, affects cognition, memory, and behavior. Similarly, limbic-predominant age-related TDP-43 encephalopathy (LATE) is a recently defined common neurodegenerative disease that mimics the clinical symptoms of AD. At present, the risk factors implicated in LATE and those distinguishing LATE from AD are largely unknown. We leveraged an integrated feature selection-based algorithmic approach, to identify important factors differentiating subjects with LATE and/or AD from Control on significantly imbalanced data. We analyzed two datasets ROSMAP and NACC and discovered that alcohol consumption was a top lifestyle and environmental factor linked with LATE and AD and their associations were differential. In particular, we identified a specific subpopulation consisting of APOE e4 carriers. We found that, for this subpopulation, light-to-moderate alcohol intake was a protective factor against both AD and LATE, but its protective role against AD appeared stronger than LATE. The codes for our algorithms are available at https://github.com/xinxingwu-uk/PFV.
翻译:阿尔茨海默氏病(AD)是一种累进性大脑疾病,它影响认知、记忆和行为。同样,四肢主要年龄主要与年龄有关的TDP-43脑炎病(LATE)是最近界定的一种常见神经降解性疾病,它模仿了AD的临床症状。目前,LATE和将LATE与AD区别开来的危险因素基本上不为人知。我们利用基于特征的综合选择算法方法,在严重不平衡的数据方面,确定与LATE和/或控制对象有区别的重要因素。我们分析了两个数据集,即ROSMAP和NACC,发现酒精消费是与LATE和AD相联系的顶级生活方式和环境因素。特别是,我们确定了由APOE e4载体组成的一个具体的亚人口分组。我们发现,对于这个亚人口组来说,光到MATE的酒精摄入量是针对AD和LATE的一种保护因素,但其保护作用似乎比LATE更强大。我们的算法代码见https://github.com/xinxingwuK/PFV。