Gao Zhan, Fu Hong-Juan, Zhao Li-Bo, Sun Zhuo-Yan, Yang Yu-Fei, Zhu Hong-Yan
Department of Senile Neurology, Heilongjiang Provincial Hospital, Harbin, Heilongjiang 150036, P.R. China.
Exp Ther Med. 2018 Jan;15(1):103-108. doi: 10.3892/etm.2017.5394. Epub 2017 Oct 30.
Abnormal DNA methylation patterns have been demonstrated to be associated with the pathogenesis of Alzheimer's disease (AD). The present study aimed to identify differential methylation in the superior temporal gyrus (STG) of patients with late-onset AD based on epigenome-wide DNA methylation data by bioinformatics analysis. The genome-wide DNA methylation data in the STG region of 34 patients with late-onset AD and 34 controls without dementia were recruited from the Gene Expression Omnibus database. Through systemic quality control, differentially methylated CpG sites were determined by the Student's t-test and mean methylation value differences between the two conditions. Hierarchical clustering analysis was applied to assess the classification performance of differentially methylated CpGs. Functional analysis was performed to investigate the biological functions of the genes associated with differentially methylated CpGs. A total of 17,895 differentially methylated CpG sites were initially identified, including 11,822 hypermethylated CpGs and 6,073 hypomethylated CpGs. Further analysis examined 2,211 differentially methylated CpGs (covering 1,991 genes). AD subjects demonstrated distinctive DNA methylation patterns when compared with the controls, with a classification accuracy value of 1. Hypermethylation was mainly detected for genes regulating the cell cycle progression, whereas hypomethylation was observed in genes involved in transcription factor binding. The present study demonstrated widespread and distinctive DNA methylation alterations in late-onset AD. Identification of AD-associated epigenetic biomarkers may allow for the development of novel diagnostic and therapeutic targets.
异常的DNA甲基化模式已被证明与阿尔茨海默病(AD)的发病机制有关。本研究旨在通过生物信息学分析,基于全基因组DNA甲基化数据,鉴定晚发性AD患者颞上回(STG)中的差异甲基化情况。从基因表达综合数据库中招募了34例晚发性AD患者和34例无痴呆症对照者的STG区域的全基因组DNA甲基化数据。通过系统的质量控制,采用学生t检验确定差异甲基化的CpG位点以及两种情况下的平均甲基化值差异。应用层次聚类分析来评估差异甲基化CpG的分类性能。进行功能分析以研究与差异甲基化CpG相关基因的生物学功能。最初共鉴定出17,895个差异甲基化的CpG位点,包括11,822个高甲基化的CpG和6,073个低甲基化的CpG。进一步分析检测了2,211个差异甲基化的CpG(涵盖1,991个基因)。与对照组相比,AD受试者表现出独特的DNA甲基化模式,分类准确率值为1。高甲基化主要在调节细胞周期进程的基因中检测到,而低甲基化则在参与转录因子结合的基因中观察到。本研究证明了晚发性AD中广泛且独特的DNA甲基化改变。鉴定与AD相关的表观遗传生物标志物可能有助于开发新的诊断和治疗靶点。