Mechanism Analysis of the Effect of Cordycepin on Colorectal Cancer via Network Pharmacology and Experiment.

IF 1.6 4区医学 Q4 BIOCHEMICAL RESEARCH METHODS Combinatorial chemistry & high throughput screening Pub Date : 2025-01-14 DOI:10.2174/0113862073322771241119101357

Ya Chen, Peng Wang, Mingzhu Zhang, Hao Yang, Beibei Liang

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Abstract

Objective: Colorectal Cancer (CRC) has attracted much attention due to its high mortality and morbidity. Cordycepin, also known as 3'-deoxyadenosine (3'-dA), exhibits many biological functions, including antibacterial, anti-inflammatory, antiviral, anti-tumor, and immunomodulatory effects. It has been proven to show anticancer activity in both laboratory research studies and living organisms. However, the molecular mechanism of the effect of cordycepin on CRC remains unclear.

Methods: The genes associated with cordycepin and colorectal cancer have been identified by comparing the toxicogenomics database (CTD) and GeneCards database. The common genes between cordycepin and CRC have been identified using the Venny tool. The Protein-protein Interaction (PPI) network has been drawn using the STRING database. GO and KEGG enrichment analyses of the intersecting genes have been followed by experimental validation, both in vitro and in vivo.

Results: 24 drug targets have been screened using the CTD database and 1490 disease targets have been obtained from the GeneCards database and GO and KEGG analyses. The effect of cordycepin on the proliferation of SW480 cells has been assessed using CCK-8. The related results have indicated cordycepin to inhibit the proliferation of SW480 cells, promote apoptosis, and activate the p53 signal pathway. The findings obtained from in vivo experiments have been found to be consistent with those obtained from in vitro studies.

Conclusion: Our findings have elucidated an effective way to search for cordycepin's potential mechanism of effect on CRC therapy by employing the network pharmacology and experiment. We have predicted that cordycepin can inhibit tumor growth by regulating the apoptosis pathway. This study has offered valuable insights into the potential mechanism of the effect of cordycepin on CRC and provided a theoretical basis for further validation of its clinical application.

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冬虫夏草素对结直肠癌作用机制的网络药理学和实验分析。

目的：结直肠癌（Colorectal Cancer， CRC）因其高致死率和高发病率而备受关注。虫草素也被称为3′-脱氧腺苷（3′-dA），具有多种生物学功能，包括抗菌、抗炎、抗病毒、抗肿瘤和免疫调节作用。在实验室研究和活的生物体中，它已被证明具有抗癌活性。然而，虫草素对结直肠癌作用的分子机制尚不清楚。方法：通过对比毒物基因组学数据库（CTD）和GeneCards数据库，鉴定虫草素与结直肠癌的相关基因。虫草素和结直肠癌之间的共同基因已被使用Venny工具确定。利用STRING数据库绘制了蛋白质-蛋白质相互作用（PPI）网络。GO和KEGG交叉基因的富集分析随后进行了实验验证，无论是在体外还是在体内。结果：使用CTD数据库筛选了24个药物靶点，从GeneCards数据库和GO和KEGG分析中获得了1490个疾病靶点。采用CCK-8检测虫草素对SW480细胞增殖的影响。相关结果提示虫草素抑制SW480细胞增殖，促进细胞凋亡，激活p53信号通路。从体内实验中获得的结果已被发现与从体外研究中获得的结果一致。结论：本研究为利用网络药理学和实验手段探索虫草素治疗结直肠癌的潜在作用机制提供了一条有效途径。我们预测虫草素可以通过调节细胞凋亡途径抑制肿瘤生长。本研究为虫草素对结直肠癌作用的潜在机制提供了有价值的见解，为进一步验证其临床应用提供了理论基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Combinatorial chemistry & high throughput screening 化学-生化研究方法

CiteScore

3.10

自引率

5.60%

发文量

327

审稿时长

7.5 months

期刊介绍： Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.