基于网络药理学和加权基因共表达网络分析的Hedyotis diffusa Willd.治疗食管腺癌的分子靶点和机制

IF 3 4区 医学 Q2 PHARMACOLOGY & PHARMACY Current drug targets Pub Date : 2024-01-01 DOI:10.2174/0113894501265851240102101122
Yu Zhuang, Yun-Gang Sun, Chen-Guang Wang, Qiang Zhang, Chao Che, Feng Shao
{"title":"基于网络药理学和加权基因共表达网络分析的Hedyotis diffusa Willd.治疗食管腺癌的分子靶点和机制","authors":"Yu Zhuang, Yun-Gang Sun, Chen-Guang Wang, Qiang Zhang, Chao Che, Feng Shao","doi":"10.2174/0113894501265851240102101122","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Hedyotis diffusa Willd. (HDW) is a common anticancer herbal medicine in China, and its therapeutic effectiveness has been demonstrated in a range of cancer patients. There is no consensus about the therapeutic targets and molecular mechanisms of HDW, which contains many active ingredients.</p><p><strong>Aim: </strong>To clarify the mechanism of HDW for esophageal adenocarcinoma (EAC), we utilized network pharmacology and weighted gene co-expression network analysis methods (WGCNA).</p><p><strong>Methods: </strong>The gene modules that were linked with the clinical features of EAC were obtained through the WGCNA method. Then, the potential target genes were retrieved through the network pharmacology method in order to determine the targets of the active components. After enrichment analysis, a variety of signaling pathways with significant ratios of target genes were found, including regulation of trans-synaptic signaling, neuroactive ligand-receptor interaction and modulation of chemical synaptic transmission. By means of protein-protein interaction (PPI) network analysis, we have successfully identified the hub genes, which were AR, CNR1, GRIK1, MAPK10, MAPT, PGR and PIK3R1.</p><p><strong>Result: </strong>Our study employed molecular docking simulations to evaluate the binding affinity of the active components with the hub gene. The identified active anticancer constituents in HDW are scopoletol, quercetin, ferulic acid, coumarin, and trans-4-methoxycinnamyl alcohol.</p><p><strong>Conclusion: </strong>Our findings shed light on the molecular underpinnings of HDW in the treatment of EAC and hold great promise for the identification of potential HDW compounds and biomarkers for EAC therapy.</p>","PeriodicalId":10805,"journal":{"name":"Current drug targets","volume":" ","pages":"431-443"},"PeriodicalIF":3.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Molecular Targets and Mechanisms of Hedyotis diffusa Willd. for Esophageal Adenocarcinoma Treatment Based on Network Pharmacology and Weighted Gene Co-expression Network Analysis.\",\"authors\":\"Yu Zhuang, Yun-Gang Sun, Chen-Guang Wang, Qiang Zhang, Chao Che, Feng Shao\",\"doi\":\"10.2174/0113894501265851240102101122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Hedyotis diffusa Willd. (HDW) is a common anticancer herbal medicine in China, and its therapeutic effectiveness has been demonstrated in a range of cancer patients. There is no consensus about the therapeutic targets and molecular mechanisms of HDW, which contains many active ingredients.</p><p><strong>Aim: </strong>To clarify the mechanism of HDW for esophageal adenocarcinoma (EAC), we utilized network pharmacology and weighted gene co-expression network analysis methods (WGCNA).</p><p><strong>Methods: </strong>The gene modules that were linked with the clinical features of EAC were obtained through the WGCNA method. Then, the potential target genes were retrieved through the network pharmacology method in order to determine the targets of the active components. After enrichment analysis, a variety of signaling pathways with significant ratios of target genes were found, including regulation of trans-synaptic signaling, neuroactive ligand-receptor interaction and modulation of chemical synaptic transmission. By means of protein-protein interaction (PPI) network analysis, we have successfully identified the hub genes, which were AR, CNR1, GRIK1, MAPK10, MAPT, PGR and PIK3R1.</p><p><strong>Result: </strong>Our study employed molecular docking simulations to evaluate the binding affinity of the active components with the hub gene. The identified active anticancer constituents in HDW are scopoletol, quercetin, ferulic acid, coumarin, and trans-4-methoxycinnamyl alcohol.</p><p><strong>Conclusion: </strong>Our findings shed light on the molecular underpinnings of HDW in the treatment of EAC and hold great promise for the identification of potential HDW compounds and biomarkers for EAC therapy.</p>\",\"PeriodicalId\":10805,\"journal\":{\"name\":\"Current drug targets\",\"volume\":\" \",\"pages\":\"431-443\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current drug targets\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2174/0113894501265851240102101122\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current drug targets","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/0113894501265851240102101122","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

摘要

背景:白花蛇舌草(Hedyotis diffusa Willd:Hedyotis diffusa Willd.(HDW)是中国一种常见的抗癌中药,其对一系列癌症患者的疗效已得到证实。目的:为阐明白花蛇舌草治疗食管腺癌(EAC)的机制,我们采用了网络药理学和加权基因共表达网络分析方法(WGCNA):方法:通过WGCNA方法获得与EAC临床特征相关的基因模块。然后,通过网络药理学方法检索潜在的靶基因,以确定活性成分的靶点。经过富集分析,发现了多种具有显著靶基因比例的信号通路,包括跨突触信号的调控、神经活性配体与受体的相互作用以及化学突触传递的调控。通过蛋白-蛋白相互作用(PPI)网络分析,我们成功地确定了枢纽基因,它们分别是AR、CNR1、GRIK1、MAPK10、MAPT、PGR和PIK3R1:结果:我们的研究采用分子对接模拟来评估活性成分与枢纽基因的结合亲和力。结果:我们的研究利用分子对接模拟评估了活性成分与枢纽基因的结合亲和力,发现了 HDW 中的活性抗癌成分是莨菪醇、槲皮素、阿魏酸、香豆素和反式-4-甲氧基肉桂醇:我们的研究结果揭示了 HDW 治疗 EAC 的分子基础,为确定潜在的 HDW 化合物和 EAC 治疗生物标志物带来了巨大希望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Molecular Targets and Mechanisms of Hedyotis diffusa Willd. for Esophageal Adenocarcinoma Treatment Based on Network Pharmacology and Weighted Gene Co-expression Network Analysis.

Background: Hedyotis diffusa Willd. (HDW) is a common anticancer herbal medicine in China, and its therapeutic effectiveness has been demonstrated in a range of cancer patients. There is no consensus about the therapeutic targets and molecular mechanisms of HDW, which contains many active ingredients.

Aim: To clarify the mechanism of HDW for esophageal adenocarcinoma (EAC), we utilized network pharmacology and weighted gene co-expression network analysis methods (WGCNA).

Methods: The gene modules that were linked with the clinical features of EAC were obtained through the WGCNA method. Then, the potential target genes were retrieved through the network pharmacology method in order to determine the targets of the active components. After enrichment analysis, a variety of signaling pathways with significant ratios of target genes were found, including regulation of trans-synaptic signaling, neuroactive ligand-receptor interaction and modulation of chemical synaptic transmission. By means of protein-protein interaction (PPI) network analysis, we have successfully identified the hub genes, which were AR, CNR1, GRIK1, MAPK10, MAPT, PGR and PIK3R1.

Result: Our study employed molecular docking simulations to evaluate the binding affinity of the active components with the hub gene. The identified active anticancer constituents in HDW are scopoletol, quercetin, ferulic acid, coumarin, and trans-4-methoxycinnamyl alcohol.

Conclusion: Our findings shed light on the molecular underpinnings of HDW in the treatment of EAC and hold great promise for the identification of potential HDW compounds and biomarkers for EAC therapy.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Current drug targets
Current drug targets 医学-药学
CiteScore
6.20
自引率
0.00%
发文量
127
审稿时长
3-8 weeks
期刊介绍: Current Drug Targets aims to cover the latest and most outstanding developments on the medicinal chemistry and pharmacology of molecular drug targets e.g. disease specific proteins, receptors, enzymes, genes. Current Drug Targets publishes guest edited thematic issues written by leaders in the field covering a range of current topics of drug targets. The journal also accepts for publication mini- & full-length review articles and drug clinical trial studies. As the discovery, identification, characterization and validation of novel human drug targets for drug discovery continues to grow; this journal is essential reading for all pharmaceutical scientists involved in drug discovery and development.
期刊最新文献
Unraveling Neurological Drug Delivery: Polymeric Nanocarriers for Enhanced Blood-Brain Barrier Penetration. LncRNA HAGLROS: A Vital Oncogenic Propellant in Various Human Cancers. Trends of Artificial Intelligence (AI) Use in Drug Targets, Discovery and Development: Current Status and Future Perspectives. Current Updates on Pathogenesis, Systemic Therapy, and Treatment of Invasive Fungal Infections. Molecular Insight into Obesity-Associated Nephropathy: Clinical Implications and Possible Strategies for its Management.
×
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