Identification of key signaling pathways and novel computational drug target for oral cancer, metabolic disorders and periodontal disease

IF 3.5 Q3 Biochemistry, Genetics and Molecular Biology Journal of Genetic Engineering and Biotechnology Pub Date : 2024-10-22 DOI:10.1016/j.jgeb.2024.100431
{"title":"Identification of key signaling pathways and novel computational drug target for oral cancer, metabolic disorders and periodontal disease","authors":"","doi":"10.1016/j.jgeb.2024.100431","DOIUrl":null,"url":null,"abstract":"<div><h3>Aim</h3><div>Due to conventional endocrinological methods, there is presently no shared work available, and no therapeutic options have been demonstrated in oral cancer (OC) and periodontal disease (PD), type 2 diabetes (T2D), and obese patients. The aim of this study is to determine the similar molecular pathways and potential therapeutic targets in PD, OC, T2D, and obesity that may be used to anticipate the progression of the disease.</div></div><div><h3>Methods</h3><div>Four Gene Expression Omnibus (GEO) microarray datasets (GSE29221, GSE15773, GSE16134, and GSE13601) are used for finding differentially expressed genes (DEGs) for T2D, obese, and PD patients with OC in order to explore comparable pathways and therapeutic medications. Gene ontology (GO) and pathway analysis were used to investigate the functional annotations of the genes. The hub genes were then identified using protein-protein interaction (PPI) networks, and the most significant PPI components were evaluated using a clustering approach.</div></div><div><h3>Results</h3><div>These three gene expression-based datasets yielded a total of seven common DEGs. According to the GO annotation, the majority of the DEGs were connected with the microtubule cytoskeleton structure involved in mitosis. The KEGG pathways revealed that the concordant DEGs are connected to the cell cycle and progesterone-mediated oocyte maturation. Based on topological analysis of the PPI network, major hub genes (CCNB1, BUB1, TTK, PLAT, and AHNAK) and notable modules were revealed. This work additionally identified the connection of TF genes and miRNAs with common DEGs, as well as TF activity.</div></div><div><h3>Conclusion</h3><div>Predictive drug analysis yielded concordant drug compounds involved with T2D, OC, PD, and obesity disorder, which might be beneficial for examining the diagnosis, treatment, and prognosis of metabolic disorders and Oral cancer.</div></div>","PeriodicalId":53463,"journal":{"name":"Journal of Genetic Engineering and Biotechnology","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Genetic Engineering and Biotechnology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1687157X24001343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 0

Abstract

Aim

Due to conventional endocrinological methods, there is presently no shared work available, and no therapeutic options have been demonstrated in oral cancer (OC) and periodontal disease (PD), type 2 diabetes (T2D), and obese patients. The aim of this study is to determine the similar molecular pathways and potential therapeutic targets in PD, OC, T2D, and obesity that may be used to anticipate the progression of the disease.

Methods

Four Gene Expression Omnibus (GEO) microarray datasets (GSE29221, GSE15773, GSE16134, and GSE13601) are used for finding differentially expressed genes (DEGs) for T2D, obese, and PD patients with OC in order to explore comparable pathways and therapeutic medications. Gene ontology (GO) and pathway analysis were used to investigate the functional annotations of the genes. The hub genes were then identified using protein-protein interaction (PPI) networks, and the most significant PPI components were evaluated using a clustering approach.

Results

These three gene expression-based datasets yielded a total of seven common DEGs. According to the GO annotation, the majority of the DEGs were connected with the microtubule cytoskeleton structure involved in mitosis. The KEGG pathways revealed that the concordant DEGs are connected to the cell cycle and progesterone-mediated oocyte maturation. Based on topological analysis of the PPI network, major hub genes (CCNB1, BUB1, TTK, PLAT, and AHNAK) and notable modules were revealed. This work additionally identified the connection of TF genes and miRNAs with common DEGs, as well as TF activity.

Conclusion

Predictive drug analysis yielded concordant drug compounds involved with T2D, OC, PD, and obesity disorder, which might be beneficial for examining the diagnosis, treatment, and prognosis of metabolic disorders and Oral cancer.
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
确定口腔癌、代谢紊乱和牙周病的关键信号通路和新型计算药物靶点
目的由于采用传统的内分泌学方法,目前还没有共同的研究成果,也没有针对口腔癌(OC)、牙周病(PD)、2 型糖尿病(T2D)和肥胖症患者的治疗方案。本研究的目的是确定 PD、OC、T2D 和肥胖症中相似的分子通路和潜在的治疗靶点,以用于预测疾病的进展。方法使用四个基因表达总库(GEO)微阵列数据集(GSE29221、GSE15773、GSE16134 和 GSE13601)寻找 T2D、肥胖症和 PD 患者与 OC 的差异表达基因(DEGs),以探索相似的通路和治疗药物。基因本体(GO)和通路分析用于研究基因的功能注释。然后利用蛋白质-蛋白质相互作用(PPI)网络确定了枢纽基因,并利用聚类方法评估了最重要的 PPI 成分。根据 GO 注释,大多数 DEGs 与参与有丝分裂的微管细胞骨架结构有关。KEGG 通路显示,一致的 DEGs 与细胞周期和孕酮介导的卵母细胞成熟有关。基于 PPI 网络的拓扑分析,发现了主要的枢纽基因(CCNB1、BUB1、TTK、PLAT 和 AHNAK)和显著的模块。结论预测性药物分析得出了与 T2D、OC、PD 和肥胖症相关的药物化合物,这可能有利于研究代谢紊乱和口腔癌的诊断、治疗和预后。
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
Journal of Genetic Engineering and Biotechnology
Journal of Genetic Engineering and Biotechnology Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
5.70
自引率
5.70%
发文量
159
审稿时长
16 weeks
期刊介绍: Journal of genetic engineering and biotechnology is devoted to rapid publication of full-length research papers that leads to significant contribution in advancing knowledge in genetic engineering and biotechnology and provide novel perspectives in this research area. JGEB includes all major themes related to genetic engineering and recombinant DNA. The area of interest of JGEB includes but not restricted to: •Plant genetics •Animal genetics •Bacterial enzymes •Agricultural Biotechnology, •Biochemistry, •Biophysics, •Bioinformatics, •Environmental Biotechnology, •Industrial Biotechnology, •Microbial biotechnology, •Medical Biotechnology, •Bioenergy, Biosafety, •Biosecurity, •Bioethics, •GMOS, •Genomic, •Proteomic JGEB accepts
期刊最新文献
Correlation and regression analysis of KRT35 and TCHHL1 functional genes for cashmere fineness in Liaoning cashmere goats Mapping proteomic response to salinity stress tolerance in oil crops: Towrads enhanced plant resilience Identification of key signaling pathways and novel computational drug target for oral cancer, metabolic disorders and periodontal disease Biogenic silver nanoparticles synthesized using bracken fern inhibits cell proliferation in HCT-15 cells through induction of apoptosis pathway and overexpression of heat shock proteins Insights into the human cDNA: A descriptive study using library screening in yeast
×
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