Suppr超能文献

转录组分析确定了I类组蛋白去乙酰化酶在阿尔茨海默病中的作用。

Transcriptome analysis identifies the role of Class I histone deacetylase in Alzheimer's disease.

作者信息

Geng Fan, Zhao Na, Chen Xiu, Liu XueTing, Zhu MengMeng, Jiang Ying, Ren QingGuo

机构信息

School of Medicine, Southeast University, Nanjing, 210009, China.

Department of Neurology, The 962nd Hospital of the PLA Joint Logistic Support Force, Harbin 150080, China.

出版信息

Heliyon. 2023 Jul 6;9(7):e18008. doi: 10.1016/j.heliyon.2023.e18008. eCollection 2023 Jul.

Abstract

Epigenetics modification is a process that does not change the sequence of deoxyribonucleic acid (DNA) in disease progression but can alter the genetic expression of the brain in Alzheimer's disease (AD). In this study, we deployed the weighted gene co-expression network analysis (WGCNA) to explore the role of Class I histone deacetylases (HDACs) in AD, which included HDAC1, HDAC2, HDAC3, and HDAC8. The aim of the study was to find how Class I HDACs affected AD pathology by analyzing the Gene Expression Omnibus (GEO) microarray datasets GSE33000. We found that HDAC1 and HDAC8 were more highly expressed in the cortex of AD patients than in Controls, while HDAC2 and HDAC3 were lower expressed. By WGCNA analysis, we found the blue module was associated with HDAC1 and HDAC8, and the turquoise module was related to HDAC2 and HDAC3. Functional enrichment analysis revealed that the Wnt signaling pathway and synaptic plasticity played an important role in the modification of HDAC1 and HDAC8 while gap junction and cell-cell junction were involved in the regulation of HDAC2 and HDAC3 in the disease progression of AD. By Receiver Operating Characteristics (ROC) analysis, we concluded that HDAC1 might be the most probable diagnostic biomarker of Class I HDACs for AD. Our study provided a comprehensive understanding of Class I HDACs and provided new insight into the function of HDAC1 in AD disease progression.

摘要

表观遗传学修饰是一种在疾病进展过程中不改变脱氧核糖核酸(DNA)序列,但可改变阿尔茨海默病(AD)大脑基因表达的过程。在本研究中,我们运用加权基因共表达网络分析(WGCNA)来探究I类组蛋白去乙酰化酶(HDACs)在AD中的作用,其中包括HDAC1、HDAC2、HDAC3和HDAC8。本研究的目的是通过分析基因表达综合数据库(GEO)微阵列数据集GSE33000,来发现I类HDACs如何影响AD病理学。我们发现,与对照组相比,HDAC1和HDAC8在AD患者皮质中的表达更高,而HDAC2和HDAC3的表达更低。通过WGCNA分析,我们发现蓝色模块与HDAC1和HDAC8相关,而绿松石色模块与HDAC2和HDAC3相关。功能富集分析表明,Wnt信号通路和突触可塑性在HDAC1和HDAC8的修饰中起重要作用,而缝隙连接和细胞间连接在AD疾病进展中参与HDAC2和HDAC3的调节。通过受试者工作特征(ROC)分析,我们得出结论,HDAC1可能是I类HDACs中最有可能用于AD诊断的生物标志物。我们的研究全面了解了I类HDACs,并为HDAC1在AD疾病进展中的功能提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0666/10336799/8743fca1a7eb/gr2.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验