Metabolomics and network pharmacology approach to identify potential bioactive compounds from Trichoderma sp. against oral squamous cell carcinoma

IF 3.1 4区 生物学 Q2 BIOLOGY Computational Biology and Chemistry Pub Date : 2025-04-01 Epub Date: 2025-01-10 DOI:10.1016/j.compbiolchem.2025.108348
Young Ji Choi , Kandasamy Saravanakumar , Jae-Hyoung Joo , Bomi Nam , Yuna Park , Soyeon Lee , SeonJu Park , Zijun Li , Lulu Yao , Yunyeong Kim , Navabshan Irfan , Namki Cho
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Abstract

This study aimed to profile metabolites from five Trichoderma strains and assess their cytotoxic and pharmacological activities, particularly targeting oral squamous cell carcinoma (OSCC). UHPLC-TOF-MS analysis revealed the presence of 25 compounds, including heptelidic acid, viridiol isomers, and sorbicillinol from the different Trichoderma extracts. Pharmacokinetic analysis showed moderate permeability and low interaction with P-glycoprotein, suggesting good drug absorption with minimal interference in cellular uptake. ADME-Tox analysis indicated limited inhibition of cytochrome P450 enzymes, low renal clearance, which are favorable for maintaining therapeutic levels. Toxicity predictions revealed some compounds with potential mutagenicity, but low hepatotoxicity and skin sensitization risks. Network pharmacology identified MAPK1 as a key target for oral cancer, and molecular docking and induced fit docking studies demonstrated strong binding affinities of Trichoderma metabolites, including stachyose and harzianol, to MAPK1. In addition, molecular dynamics (MD) simulations confirmed stable interactions. In vitro studies on NIH3T3 and YD-10B cells showed significant cytotoxicity, particularly with extracts CNU-05–001 (IC50:10.15 µg/mL) and CNU-02–009 (10.00 µg/mL) against YD-10B cells. These findings underscore the potential of Trichoderma metabolites in drug discovery, particularly for cancer therapies.
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代谢组学和网络药理学方法鉴定木霉对口腔鳞状细胞癌的潜在生物活性化合物。
本研究旨在分析五种木霉菌株的代谢物,并评估它们的细胞毒性和药理活性,特别是针对口腔鳞状细胞癌(OSCC)。UHPLC-TOF-MS分析显示,从不同木霉提取物中分离出25种化合物,包括七二酸、绿二醇异构体和山梨醇。药代动力学分析显示渗透性适中,与p -糖蛋白的相互作用低,表明药物吸收良好,对细胞摄取的干扰最小。ADME-Tox分析显示细胞色素P450酶抑制有限,肾清除率低,有利于维持治疗水平。毒性预测显示一些化合物具有潜在的致突变性,但肝毒性和皮肤致敏风险较低。网络药理学鉴定MAPK1是口腔癌的关键靶点,分子对接和诱导对接研究表明木霉代谢物,包括水苏糖和哈茨醇,与MAPK1具有很强的结合亲和力。此外,分子动力学(MD)模拟证实了稳定的相互作用。体外研究显示NIH3T3和YD-10B细胞具有明显的细胞毒性,特别是CNU-05-001 (IC50:10.15 µg/mL)和CNU-02-009(10.00 µg/mL)提取物对YD-10B细胞具有明显的细胞毒性。这些发现强调了木霉代谢物在药物发现方面的潜力,特别是在癌症治疗方面。
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
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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