首页> 外文会议>Annual conference of the International Society of Exposure Science >Heritability of Synergistic Interactions Following Co-Exposure to Anticancer Drugs in Genetically-Diverse Lymphoblastoid Cell Lines
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Heritability of Synergistic Interactions Following Co-Exposure to Anticancer Drugs in Genetically-Diverse Lymphoblastoid Cell Lines

机译:在遗传多样的淋巴母细胞细胞系中共同暴露于抗癌药物后协同相互作用的遗传力

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Real-world exposure scenarios for environmental chemicals or pharmacological drugs often involve significant co-exposure, wherein mixtures of several compounds are involved. However, interindividual responses are most often studied within a single-compound scenario, despite clinical evidence that compounds do not act independently when co-administered. Such synergistic (or antagonistic) effects occur between chemicals when the observed effect of the combination is more (or less) than what would be predicted from the effects of each agent working alone. Modeling synergistic interactions presents challenges in both quantitative modeling and underlying biology. There are a number of statistical methods for modeling synergy from a qualitative perspective, but rigorous quantification and detection of synergy, specifically within drug/chemical mixtures, is limited. Additionally, more investigation is needed into underlying mechanisms of synergistic effects, particularly in regards to potential genetic etiology. We have taken a novel approach to study synergy between chemotherapeutic drugs by applying known methods to show that synergy is heritable in a proven model of cytotoxic response using lymphoblastoid cell lines (LCLs). First, we used the Chou Talalay combination index approach to quantify synergy and results suggest interactions among common chemotherapy drugs. Next, we then used these results to test for a genetic component of variation in synergistic response. Importantly, we identified significant genetic components (> 50% heritability) among several drug combinations. Building on this evidence of a heritable component in synergistic response to co-exposure, we are performing genome wide association studies to identify candidate genes that explain a significant amount of synergistic variation.
机译:环境化学药品或药理药物的实际暴露场景通常涉及大量的共同暴露,其中涉及多种化合物的混合物。然而,尽管临床证据表明当共同给药时化合物不能独立发挥作用,但个体间反应通常是在单一化合物的情况下研究的。当观察到的组合效果大于(或小于)每种药物单独作用的效果所预测的效果时,在化学品之间就会发生这种协同(或拮抗)效果。对协同相互作用进行建模对定量建模和基础生物学都提出了挑战。从定性的角度来看,有许多统计方法可用于对协同作用进行建模,但是对协同作用(尤其是在药物/化学混合物中)进行严格的量化和检测是有限的。此外,还需要对协同效应的潜在机制进行更多研究,尤其是在潜在的遗传病因学方面。我们采用了一种新颖的方法来研究化学疗法药物之间的协同作用,方法是应用已知方法来证明在使用淋巴母细胞样细胞系(LCL)的已证实的细胞毒性反应模型中,这种协同作用是可遗传的。首先,我们使用Chou Talalay组合指数方法量化协同作用,结果表明常见化学疗法药物之间存在相互作用。接下来,我们然后使用这些结果来测试协同反应中变异的遗传成分。重要的是,我们在几种药物组合中鉴定出重要的遗传成分(> 50%的遗传力)。基于对共同暴露的协同反应中可遗传成分的证据,我们正在进行全基因组关联研究,以鉴定可解释大量协同变异的候选基因。

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