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A physiologically based pharmacokinetic model linking plasma protein binding interactions with drug disposition

机译:基于生理学的药代动力学模型将血浆蛋白结合相互作用与药物处置联系起来

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Combination drug therapy increases the chance for an adverse drug reactions due to drug-drug interactions. Altered disposition for sulfamethazine (SMZ) when concurrently administered with flunixin meglumine (FLU) in swine could lead to increased tissue residues. There is a need for a pharmacokinetic modeling technique that can predict the consequences of possible drug interactions. A physiologically based pharmacokinetic model was developed that links plasma protein binding interactions to drug disposition for SMZ and FLU in swine. The model predicted a sustained decrease in total drug and a temporary increase in free drug concentration. An in vivo study confirmed the presence of a drug interaction. Neither the model nor the in vivo study revealed clinically significant changes that alter tissue disposition. This novel linkage approach has use in the prediction of the clinical impact of plasma protein binding interactions. Ultimately it could be used in the design of dosing regimens and in the protection of the food supply through prediction and minimization of tissue residues.
机译:药物联合治疗增加了由于药物相互作用引起的不良药物反应的机会。猪中与氟尼辛葡甲胺(FLU)并用时,磺胺二甲嘧啶(SMZ)的处置发生变化可能导致组织残留增加。需要一种可以预测可能的药物相互作用的后果的药代动力学建模技术。建立了基于生理学的药代动力学模型,该模型将血浆蛋白结合相互作用与猪中SMZ和FLU的药物处置联系起来。该模型预测总药物的持续减少和游离药物浓度的暂时增加。体内研究证实存在药物相互作用。该模型和体内研究均未发现改变组织处置的临床上显着变化。这种新颖的链接方法已用于预测血浆蛋白结合相互作用的临床影响。最终,它可以用于剂量方案的设计以及通过预测和最小化组织残留物来保护食物供应。

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