Suppr超能文献

阿尔茨海默病合并帕金森病潜在受体及治疗药物的生物信息学分析

Bioinformatics analysis of the potential receptor and therapeutic drugs for Alzheimer's disease with comorbid Parkinson's disease.

作者信息

Zhou Xuerong, Liu Zhifan, Bai Guiqin, Dazhang Bai, Zhao Peilin, Wang Xiaoming, Jiang Guohui

机构信息

Department of Neurology, Affiliated Hospital of North Sichuan Medical College, Institute of Neurological Diseases, North Sichuan Medical College, Nanchong, China.

Department of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong, China.

出版信息

Front Aging Neurosci. 2024 Jun 4;16:1411320. doi: 10.3389/fnagi.2024.1411320. eCollection 2024.

Abstract

BACKGROUND

Now, there are no sensitive biomarkers for improving Alzheimer's disease (AD) and comorbid Parkinson's disease (PD). The aim of the present study was to analyze differentially expressed genes (DEGs) in brain tissue from AD and PD patients via bioinformatics analysis, as well as to explore precise diagnostic and therapeutic targets for AD and comorbid PD.

METHODS

GFE122063 and GSE7621 data sets from GEO in NCBI, were used to screen differentially expressed genes (DEGs) for AD and PD, and identify the intersected genes, respectively. Intersected genes were analyzed by Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Then, STRING site and Cytoscape were used to construct a protein-protein interaction (PPI) network, CytoNCA algorithm to analyze and evaluate centrality, Mcode plug-in to analyze module, and Cytohubba to screen key genes. Combined GO-KEGG enrichment analysis with Cytoscape algorithm to screen the key gene in AD complicated with PD. Then, the DEGs for AD and PD were imported into the Association Map (CMap) online platform to screen out the top 10 small molecule drugs, and using molecular docking techniques to evaluate the interactions between small molecule drugs and key genes receptors.

RESULTS

In total, 231 upregulated genes and 300 downregulated genes were identified. GO analysis revealed that the DEGs were highly enriched in signal transduction, and KEGG analysis revealed that the DEGs were associated with the MAPK and PI3K-Akt signaling pathways. Epidermal growth factor receptor (EGFR) was identified as a potential receptor gene in AD and comorbid PD. EGFR was upregulated in both AD and PD, and the proteins that interact with EGFR were enriched in the Ras/Raf/MAPK and PI3K/Akt signaling pathways. Semagacestat was identified as a drug with therapeutic potential for treating AD complicated with PD. There was a high binding affinity between semagacestat and EGFR, with seven hydrogen bonds and one hydrophobic bond.

DISCUSSION

Semagacestat may improve the health of patients with AD complicated with PD through the regulation of the Ras/Raf/MAPK and PI3K/Akt signaling pathways by EGFR, providing evidence supporting the structural modification of semagacestat to develop a more effective drug for treating AD complicated with PD.

摘要

背景

目前,尚无用于改善阿尔茨海默病(AD)及合并帕金森病(PD)的敏感生物标志物。本研究旨在通过生物信息学分析,分析AD和PD患者脑组织中的差异表达基因(DEG),并探索AD及合并PD的精确诊断和治疗靶点。

方法

使用来自NCBI中GEO的GFE122063和GSE7621数据集,分别筛选AD和PD的差异表达基因,并鉴定交集基因。通过基因本体论(GO)分析和京都基因与基因组百科全书(KEGG)分析对交集基因进行分析。然后,利用STRING网站和Cytoscape构建蛋白质-蛋白质相互作用(PPI)网络,使用CytoNCA算法分析和评估中心性,使用Mcode插件分析模块,并使用Cytohubba筛选关键基因。结合GO-KEGG富集分析和Cytoscape算法筛选AD合并PD中的关键基因。然后,将AD和PD的差异表达基因导入在线平台关联图谱(CMap)以筛选出前10种小分子药物,并使用分子对接技术评估小分子药物与关键基因受体之间的相互作用。

结果

共鉴定出231个上调基因和300个下调基因。GO分析显示差异表达基因在信号转导中高度富集,KEGG分析显示差异表达基因与MAPK和PI3K-Akt信号通路相关。表皮生长因子受体(EGFR)被鉴定为AD及合并PD中的潜在受体基因。EGFR在AD和PD中均上调,与EGFR相互作用的蛋白质在Ras/Raf/MAPK和PI3K/Akt信号通路中富集。司马吉司他被鉴定为一种具有治疗AD合并PD潜力的药物。司马吉司他与EGFR之间具有高结合亲和力,有7个氢键和1个疏水键。

讨论

司马吉司他可能通过EGFR调节Ras/Raf/MAPK和PI3K/Akt信号通路来改善AD合并PD患者的健康状况,为司马吉司他的结构修饰以开发更有效的治疗AD合并PD药物提供了证据支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a1f/11185263/b3719ebf0b9d/fnagi-16-1411320-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验