Biomarker identification of chronic atrophic gastritis and its potential drug analysis

Biao Song, Qinglin Cao, Tingting Li, Yun Liu, Qin Sun, Shanshan Fan, Xuejun Li
{"title":"Biomarker identification of chronic atrophic gastritis and its potential drug analysis","authors":"Biao Song, Qinglin Cao, Tingting Li, Yun Liu, Qin Sun, Shanshan Fan, Xuejun Li","doi":"10.3389/fgstr.2022.948323","DOIUrl":null,"url":null,"abstract":"Background Chronic atrophic gastritis (CAG) is the first step of gastric precancerous lesions, and the study of the pathogenesis of CAG is helpful for the prevention and treatment of gastric cancer(GC). The purpose of this study is to explore the potential biomarkers and therapeutic drugs of CAG through bioinformatics analysis. Methods The GSE11632 dataset was downloaded from Gene Expression Omnibus (GEO) database and the differentially expressed genes (DEGs) were obtained by using GEO2R online tool. We searched GeneCard and DisGeNET databases for genes related to CAG and used the overlapping genes as final DEGs for further functional enrichment analysis and Protein-protein Interaction (PPI) network analysis. Tissue-specific expressed genes were identified by BioGPS database. Cytoscape software was used to identify key hub genes and validated them in GSE27411 data sets. The upstream miRNAs of hub gene was predicted by TargetScan, miRDB and miRWalk. Finally, run the Connectivity Map (CMap) to identify new potential drugs for the treatment of CAG. Results A total of 430 differentially expressed mRNA were identified in this study, including 315 up-regulated genes and 115 down-regulated genes. After intersecting with CAG-related genes in GeneCard and DisGeNET databases, 42 DEGs were obtained. 24 DEGs were identified as tissue-specific expressed genes, most of which were expressed in stomach. GO and KEGG pathway analysis showed that DGEs was mainly enriched in digestion, IL-1 production, gastric acid secretion and so on. A total of 6 hub genes were generated by cytoHubba plug-in, among which ATP4A, CFTR and EPCAM had high diagnostic value. A total of 13 overlapping miRNA were predicted by 6 hub genes. Conclusion ATP4A, CFTR and EPCAM may be potential biomarkers of CAG. hsa-miR-185-5p-CFTR, hsa-miR-4644-CFTR and hsa-miR-4505-CFTR are potential RNA regulatory pathways to control the progression of CAG disease. Finally, amonafide, etoposide, mycophenolate-mofetil, cycloheximide and Emetine may be potential therapeutic drugs for CAG.","PeriodicalId":73085,"journal":{"name":"Frontiers in gastroenterology (Lausanne, Switzerland)","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in gastroenterology (Lausanne, Switzerland)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fgstr.2022.948323","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background Chronic atrophic gastritis (CAG) is the first step of gastric precancerous lesions, and the study of the pathogenesis of CAG is helpful for the prevention and treatment of gastric cancer(GC). The purpose of this study is to explore the potential biomarkers and therapeutic drugs of CAG through bioinformatics analysis. Methods The GSE11632 dataset was downloaded from Gene Expression Omnibus (GEO) database and the differentially expressed genes (DEGs) were obtained by using GEO2R online tool. We searched GeneCard and DisGeNET databases for genes related to CAG and used the overlapping genes as final DEGs for further functional enrichment analysis and Protein-protein Interaction (PPI) network analysis. Tissue-specific expressed genes were identified by BioGPS database. Cytoscape software was used to identify key hub genes and validated them in GSE27411 data sets. The upstream miRNAs of hub gene was predicted by TargetScan, miRDB and miRWalk. Finally, run the Connectivity Map (CMap) to identify new potential drugs for the treatment of CAG. Results A total of 430 differentially expressed mRNA were identified in this study, including 315 up-regulated genes and 115 down-regulated genes. After intersecting with CAG-related genes in GeneCard and DisGeNET databases, 42 DEGs were obtained. 24 DEGs were identified as tissue-specific expressed genes, most of which were expressed in stomach. GO and KEGG pathway analysis showed that DGEs was mainly enriched in digestion, IL-1 production, gastric acid secretion and so on. A total of 6 hub genes were generated by cytoHubba plug-in, among which ATP4A, CFTR and EPCAM had high diagnostic value. A total of 13 overlapping miRNA were predicted by 6 hub genes. Conclusion ATP4A, CFTR and EPCAM may be potential biomarkers of CAG. hsa-miR-185-5p-CFTR, hsa-miR-4644-CFTR and hsa-miR-4505-CFTR are potential RNA regulatory pathways to control the progression of CAG disease. Finally, amonafide, etoposide, mycophenolate-mofetil, cycloheximide and Emetine may be potential therapeutic drugs for CAG.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
慢性萎缩性胃炎的生物标志物鉴定及其潜在药物分析
背景慢性萎缩性胃炎(CAG)是胃癌前病变的第一步,对其发病机制的研究有助于癌症的预防和治疗。本研究旨在通过生物信息学分析,探索CAG的潜在生物标志物和治疗药物。方法从基因表达综合数据库(GEO)下载GSE11632数据集,利用GEO2R在线工具获得差异表达基因。我们在GeneCard和DisGeNET数据库中搜索与CAG相关的基因,并使用重叠的基因作为最终的DEG进行进一步的功能富集分析和蛋白质相互作用(PPI)网络分析。通过BioGPS数据库鉴定组织特异性表达基因。Cytoscape软件用于识别关键枢纽基因,并在GSE27411数据集中对其进行验证。通过TargetScan、miRDB和miRWalk预测hub基因的上游miRNA。最后,运行连接图(CMap)来确定治疗CAG的新的潜在药物。结果本研究共鉴定出430个差异表达的信使核糖核酸,其中上调基因315个,下调基因115个。在GeneCard和DisGeNET数据库中与CAG相关基因交叉后,获得42个DEG。24个DEG被鉴定为组织特异性表达基因,其中大部分在胃中表达。GO和KEGG通路分析表明,DGEs主要富集在消化、IL-1产生、胃酸分泌等方面。cytoHubba插件共产生6个hub基因,其中ATP4A、CFTR和EPCAM具有较高的诊断价值。6个枢纽基因共预测了13个重叠的miRNA。结论ATP4A、CFTR和EPCAM可能是CAG的潜在生物标志物。hsa-miR-185-5p-CFTR、hsa-miR-4644-CFTR和hsa-miR-4505-CFTR是控制CAG疾病进展的潜在RNA调节途径。最后,阿莫萘、足叶乙甙、霉酚酸酯、环己酰亚胺和埃美汀可能是治疗CAG的潜在药物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Current status and clinical applications of tissue engineering of the gastrointestinal tract: a systematized narrative review Fecal microbiota transplantation—could stool donors’ and receptors’ diet be the key to future success? X-ray phase-contrast 3D virtual histology characterises complex tissue architecture in colorectal cancer Adalimumab biosimilar ABP 501 is equally effective and safe in long-term management of inflammatory bowel diseases patients when used as first biologic treatment or as replace of the ADA originator for a non-medical reason A blood-based transcriptomic signature stratifies severe Crohn’s disease and defines potentially targetable therapeutic pathways
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1