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A Citrulline‐Based Translational Population System Toxicology Model for Gastrointestinal‐Related Adverse Events Associated With Anticancer Treatments

机译:一种基于瓜氨酸的平晶群体系统毒理学模型,胃肠道相关不良事件与抗癌治疗相关

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摘要

Gastrointestinal (GI)‐related adverse events (AEs) are commonly observed in the clinic during cancer treatments. Citrulline is a potentially translatable biomarker of GI AEs. In this study, irinotecan‐induced citrulline changes were studied for a range of doses and schedules in rats. A translational system toxicology model for GI AEs using citrulline was then developed based on new experimental data and parameters from a literature intestinal cell dynamic model. With the addition of feedback‐development and tolerance‐development mechanisms, the model well captured the plasma citrulline profiles after irinotecan treatment in rats. Subsequently, the model was translated to humans and predicted the observed GI AE dynamics in humans including dose‐scheduling effect using the cytotoxic and feedback parameters estimated in rats with slight calibrations. This translational toxicology model could be used for other antineoplastic drugs to simulate various clinical dosing scenarios before human studies and mitigate potential GI AEs.
机译:在癌症治疗期间,临床中通常观察到胃肠道(GI)复合不良事件(AES)。瓜氨酸是GI AES可能可翻译的生物标志物。在这项研究中,研究了伊替康诱导的瓜氨酸变化,用于大鼠的一系列剂量和时间表。然后基于来自文献肠道细胞动态模型的新实验数据和参数,开发了使用瓜谷族的GI AES的翻译系统毒理学模型。随着反馈显影和耐受性开发机制的增加,模型良好地捕获了大鼠伊替康治疗后的血浆瓜氨酸谱。随后,该模型被翻译为人类,并预测了人类中观察到的GI AE动力学,包括使用在大鼠中估计的细胞毒性和反馈参数的剂量调度效果。这种翻译毒理学模型可用于其他抗肿瘤药物来模拟人类研究前的各种临床给药情景,并减轻潜在的GI AES。

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