首页> 外文期刊>Acta Pharmaceutica Sinica B >Effects of antibiotic antitumor drugs on nucleotide levels in cultured tumor cells: an exploratory method to distinguish the mechanisms of antitumor drug action based on targeted metabolomics
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Effects of antibiotic antitumor drugs on nucleotide levels in cultured tumor cells: an exploratory method to distinguish the mechanisms of antitumor drug action based on targeted metabolomics

机译:抗生素抗肿瘤药物对培养的肿瘤细胞核苷酸水平的影响:一种基于靶向代谢组学来区分抗肿瘤药物作用机制的探索性方法

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Nucleotide pools in mammalian cells change due to the influence of antitumor drugs, which may help in evaluating the drug effect and understanding the mechanism of drug action. In this study, an ion-pair RP-HPLC method was used for a simple, sensitive and simultaneous determination of the levels of 12 nucleotides in mammalian cells treated with antibiotic antitumor drugs (daunorubicin, epirubicin and dactinomycin D). Through the use of this targeted metabolomics approach to find potential biomarkers, UTP and ATP were verified to be the most appropriate biomarkers. Moreover, a holistic statistical approach was put forward to develop a model which could distinguish 4 categories of drugs with different mechanisms of action. This model can be further validated by evaluating drugs with different mechanisms of action. This targeted metabolomics study may provide a novel approach to predict the mechanism of action of antitumor drugs.
机译:哺乳动物细胞中的核苷酸库由于抗肿瘤药物的影响而发生变化,这可能有助于评估药物作用并了解药物作用机理。在这项研究中,采用离子对RP-HPLC方法简单,灵敏并同时测定了用抗生素抗肿瘤药物(柔红霉素,表柔比星和放线菌素D)处理过的哺乳动物细胞中12个核苷酸的水平。通过使用这种靶向代谢组学方法来寻找潜在的生物标记,UTP和ATP被证实是最合适的生物标记。此外,提出了一种整体统计方法来开发一种模型,该模型可以区分具有不同作用机理的四种药物。通过评估具有不同作用机制的药物,可以进一步验证该模型。这项有针对性的代谢组学研究可提供一种预测抗肿瘤药物作用机制的新颖方法。

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