Elucidating the Mechanisms of Astragalus Membranaceus in Colorectal Cancer Patients through Bioinformatics Analysis.

IF 3.5 4区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Current medicinal chemistry Pub Date : 2024-10-31 DOI:10.2174/0109298673344265241014114804
Shuwei Wang, Jiandong Tang, Gan Li, Songbing He
{"title":"Elucidating the Mechanisms of Astragalus Membranaceus in Colorectal Cancer Patients through Bioinformatics Analysis.","authors":"Shuwei Wang, Jiandong Tang, Gan Li, Songbing He","doi":"10.2174/0109298673344265241014114804","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Astragalus membranaceus has shown positive clinical efficacy in treating colorectal cancer (CRC).</p><p><strong>Objective: </strong>This study aimed to identify the key active components of Astragalus and determine effective targets of these components in CRC patients.</p><p><strong>Methods: </strong>We identified active components of Astragalus membranaceus and differentially expressed genes in traditional Chinese medicine systems pharmacology database and The Cancer Genome Atlas. Additionally, the enrichment analysis of differential target genes (DTGs) was performed using the R-package clusterProfiler. Immunocyte correlation analysis and non-coding regulatory network construction were performed for biomarkers using Spearman's method and NetworkAnalyst. Finally, molecular docking of biomarkers and their corresponding molecule drugs was done with Autodock Vina software.</p><p><strong>Results: </strong>We identified 20 active components of Astragalus membranaceus and 1 403 target genes through screening. A total of 2 300 differentially expressed genes, and 3 035 hub genes in CRC were screened. The integration of the target genes with the significantly differentially expressed genes and Hub genes identified resulted in a total of 86 DTGs. Subsequently, the results showed 828 enriched GO biological processes, 184 enriched GO molecular functions, 59 enriched GO cellular components, and 46 enriched KEGG pathways. We also obtained a total of 143 PPI pairs involving 67 nodes. Additionally, we constructed 45 mRNA-TF pairs, 101 miRNA-mRNA pairs, and 200 miRNA- mRNA-TF triplets. Finally, molecular docking was performed for the active component quercetin with F2 and UGT1A1 and formic acid with FGA, AHSG, and KNG1.</p><p><strong>Conclusion: </strong>This study identified the active components of Astragalus membranaceus and their corresponding targets in CRC. These findings provide robust evidence for precision drug therapy in patients with CRC.</p>","PeriodicalId":10984,"journal":{"name":"Current medicinal chemistry","volume":" ","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current medicinal chemistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/0109298673344265241014114804","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Astragalus membranaceus has shown positive clinical efficacy in treating colorectal cancer (CRC).

Objective: This study aimed to identify the key active components of Astragalus and determine effective targets of these components in CRC patients.

Methods: We identified active components of Astragalus membranaceus and differentially expressed genes in traditional Chinese medicine systems pharmacology database and The Cancer Genome Atlas. Additionally, the enrichment analysis of differential target genes (DTGs) was performed using the R-package clusterProfiler. Immunocyte correlation analysis and non-coding regulatory network construction were performed for biomarkers using Spearman's method and NetworkAnalyst. Finally, molecular docking of biomarkers and their corresponding molecule drugs was done with Autodock Vina software.

Results: We identified 20 active components of Astragalus membranaceus and 1 403 target genes through screening. A total of 2 300 differentially expressed genes, and 3 035 hub genes in CRC were screened. The integration of the target genes with the significantly differentially expressed genes and Hub genes identified resulted in a total of 86 DTGs. Subsequently, the results showed 828 enriched GO biological processes, 184 enriched GO molecular functions, 59 enriched GO cellular components, and 46 enriched KEGG pathways. We also obtained a total of 143 PPI pairs involving 67 nodes. Additionally, we constructed 45 mRNA-TF pairs, 101 miRNA-mRNA pairs, and 200 miRNA- mRNA-TF triplets. Finally, molecular docking was performed for the active component quercetin with F2 and UGT1A1 and formic acid with FGA, AHSG, and KNG1.

Conclusion: This study identified the active components of Astragalus membranaceus and their corresponding targets in CRC. These findings provide robust evidence for precision drug therapy in patients with CRC.

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
通过生物信息学分析阐明黄芪对结直肠癌患者的作用机制
背景黄芪在治疗结直肠癌(CRC)方面具有积极的临床疗效:本研究旨在确定黄芪的主要活性成分,并确定这些成分在 CRC 患者中的有效靶点:方法:我们在中药系统药理学数据库和癌症基因组图谱中鉴定了黄芪的活性成分和差异表达基因。此外,我们还使用 R 软件包 clusterProfiler 对差异靶基因(DTGs)进行了富集分析。利用斯皮尔曼法和 NetworkAnalyst 对生物标志物进行了免疫细胞相关性分析和非编码调控网络构建。最后,使用 Autodock Vina 软件对生物标志物及其相应的分子药物进行了分子对接:结果:通过筛选,我们发现了黄芪中的 20 种活性成分和 1 403 个靶基因。共筛选出 2 300 个差异表达基因和 3 035 个 CRC 中心基因。将目标基因与所发现的显著差异表达基因和枢纽基因整合后,共产生了 86 个 DTGs。随后,研究结果显示了 828 个富集的 GO 生物过程、184 个富集的 GO 分子功能、59 个富集的 GO 细胞组分和 46 个富集的 KEGG 通路。我们还获得了涉及 67 个节点的 143 对 PPI。此外,我们还构建了 45 个 mRNA-TF 对、101 个 miRNA-mRNA 对和 200 个 miRNA- mRNA-TF 三联体。最后,对活性成分槲皮素与 F2 和 UGT1A1 以及甲酸与 FGA、AHSG 和 KNG1 进行了分子对接:本研究确定了黄芪的活性成分及其在 CRC 中的相应靶点。这些发现为 CRC 患者的精准药物治疗提供了有力的证据。
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
Current medicinal chemistry
Current medicinal chemistry 医学-生化与分子生物学
CiteScore
8.60
自引率
2.40%
发文量
468
审稿时长
3 months
期刊介绍: Aims & Scope Current Medicinal Chemistry covers all the latest and outstanding developments in medicinal chemistry and rational drug design. Each issue contains a series of timely in-depth reviews and guest edited thematic issues written by leaders in the field covering a range of the current topics in medicinal chemistry. The journal also publishes reviews on recent patents. Current Medicinal Chemistry is an essential journal for every medicinal chemist who wishes to be kept informed and up-to-date with the latest and most important developments.
期刊最新文献
Development and Validation of a Diagnostic Model for AKI Based on the Analysis of Ferroptosis-related Genes. Fibroblast Heterogeneity in Hepatocellular Carcinoma and Identification of Prognostic Markers Based on Single-cell Transcriptome Analysis. Advances in Discovery and Design of Anti-influenza Virus Peptides. C-Reactive Protein Biosensor for Diagnosing Infections Caused by Orthopedic Trauma. Stimuli-Responsive Nano/Biomaterials for Smart Drug Delivery in Cardiovascular Diseases: Promises, Challenges and Outlooks.
×
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