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A precision medicine approach to defining the impact of doxorubicin on the bioenergetic-metabolite interactome in human platelets

机译:一种精确的医学方法来确定阿霉素对人体血小板中生物能-代谢物相互作用组的影响

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摘要

Non-invasive measures of the response of individual patients to cancer therapeutics is an emerging strategy in precision medicine. Platelets offer a potential dynamic marker for metabolism and bioenergetic responses in individual patients since they have active glycolysis and mitochondrial oxidative phosphorylation and can be easily isolated from a small blood sample. We have recently shown how the bioenergetic-metabolite interactome can be defined in platelets isolated from human subjects by measuring metabolites and bioenergetics in the same sample. In the present study, we used a model system to assess test the hypothesis that this interactome is modified by xenobiotics using exposure to the anti-cancer drug doxorubicin (Dox) in individual donors. We found that unsupervised analysis of the metabolome showed clear differentiation between the control and Dox treated group. Dox treatment resulted in a concentration-dependent decrease in bioenergetic parameters with maximal respiration being most sensitive and this was associated with significant changes in over 166 features. A metabolome-wide association study of Dox was also conducted, and Dox was found to have associations with metabolites in the glycolytic and TCA cycle pathways. Lastly, network analysis showed the impact of Dox on the bioenergetic-metabolite interactome and revealed profound changes in the regulation of reserve capacity. Taken together, these data support the conclusion that platelets are a suitable platform to predict and monitor therapeutic efficacy as well as anticipate susceptibility to toxicity in the context of precision medicine.
机译:个体患者对癌症疗法的反应的非侵入性测量是精密医学中的新兴策略。血小板具有活性的糖酵解作用和线粒体的氧化磷酸化作用,可以很容易地从少量血样中分离出来,因此为个体患者的代谢和生物能反应提供了潜在的动态标记。最近,我们已经展示了如何通过测量同一样品中的代谢物和生物能,从人体分离出的血小板中如何定义生物能-代谢物相互作用组。在本研究中,我们使用模型系统来评估测试以下假设,即在个体供体中暴露于抗癌药阿霉素(Dox)中,该相互作用组被异种生物修饰。我们发现,对代谢组的无监督分析显示对照组和Dox治疗组之间有明显的区别。 Dox处理导致生物能参数的浓度依赖性降低,最大呼吸最为敏感,这与166多个特征的显着变化有关。还进行了Dox的代谢组范围关联研究,发现Dox与糖酵解和TCA循环途径中的代谢物相关。最后,网络分析显示了Dox对生物能-代谢物相互作用组的影响,并揭示了储备能力调节的深刻变化。综上所述,这些数据支持以下结论:血小板是预测和监测治疗效果以及预测精密医学中毒性敏感性的合适平台。

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