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肠道微生物群对抗肝细胞癌的潜在靶代谢物:一项网络药理学和分子对接研究

Potential Target Metabolites From Gut Microbiota Against Hepatocellular Carcinoma: A Network Pharmacology and Molecular Docking Study.

作者信息

Aslam Sehar, Qasim Muhammad, Noor Fatima, Shahid Muhammad, Ashfaq Usman Ali, Munir Samman, Al-Harthi Helal F, Mashraqi Mutaib M, Waqas Umair, Khurshid Mohsin

机构信息

Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, Pakistan.

Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan.

出版信息

Int J Microbiol. 2024 Oct 29;2024:4286228. doi: 10.1155/2024/4286228. eCollection 2024.

Abstract

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, posing significant challenges and economic burdens on healthcare systems. Gut microbiota metabolites have shown promise in cancer treatment, but the specific active metabolites and their key targets remain unclear. This study employed a network pharmacology-based approach to identify potent metabolites of gut microbiota and their key targets. Active metabolites produced by gut microbiota were retrieved using the database gutMGene, and targets associated with these metabolites were identified using the Swiss Target Prediction tool. HCC-related targets were obtained from the GeneCards database, and overlapping targets were selected through a Venn diagram tool. An integrated metabolites-target-pathway network was analyzed to identify active inhibitors against HCC, including -cresol glucuronide, secoisolariciresinol, glycocholic acid, enterodiol, and citric acid. Molecular docking tests were performed to validate the findings and assess the binding affinity of the metabolites with their target proteins. The study identified AKT1, EGFR, ALB, and TNF genes as potential therapeutic targets against hepatic cancer. The metabolites, -cresol glucuronide, secoisolariciresinol, glycocholic acid, enterodiol, and citric acid, exhibited significant binding affinity with their respective target proteins. The study also revealed multiple signaling pathways and biological processes associated with the metabolites, demonstrating their preventive effect against HCC. This research utilizes a network pharmacology-based approach to identify potent metabolites of gut microbiota and their key targets for the treatment of HCC. The findings were validated through molecular docking tests, providing a foundation for future studies on anti-HCC metabolites and their mechanisms of action. Furthermore, this study offers insights into the development of novel anti-HCC drugs utilizing gut microbiota metabolites.

摘要

肝细胞癌(HCC)是全球癌症相关死亡的主要原因,给医疗系统带来了重大挑战和经济负担。肠道微生物群代谢产物在癌症治疗中显示出前景,但具体的活性代谢产物及其关键靶点仍不清楚。本研究采用基于网络药理学的方法来鉴定肠道微生物群的强效代谢产物及其关键靶点。使用gutMGene数据库检索肠道微生物群产生的活性代谢产物,并使用瑞士靶点预测工具鉴定与这些代谢产物相关的靶点。从GeneCards数据库中获取HCC相关靶点,并通过维恩图工具选择重叠靶点。分析整合的代谢产物-靶点-途径网络,以鉴定针对HCC的活性抑制剂,包括对甲酚葡萄糖醛酸、开环异落叶松脂素、甘氨胆酸、肠二醇和柠檬酸。进行分子对接试验以验证研究结果并评估代谢产物与其靶蛋白的结合亲和力。该研究确定AKT1、EGFR、ALB和TNF基因是针对肝癌的潜在治疗靶点。代谢产物对甲酚葡萄糖醛酸、开环异落叶松脂素、甘氨胆酸、肠二醇和柠檬酸与其各自的靶蛋白表现出显著的结合亲和力。该研究还揭示了与这些代谢产物相关的多种信号通路和生物学过程,证明了它们对HCC的预防作用。本研究利用基于网络药理学的方法来鉴定肠道微生物群的强效代谢产物及其治疗HCC的关键靶点。研究结果通过分子对接试验得到验证,为未来抗HCC代谢产物及其作用机制的研究奠定了基础。此外,本研究为利用肠道微生物群代谢产物开发新型抗HCC药物提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c38/11537736/31acb929aa80/IJMICRO2024-4286228.001.jpg

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