Buur J L, Baynes R E, Smith G W, Riviere J E
Food Animal Residue Avoidance Databank, Center for Chemical Toxicology Research and Pharmacokinetics, North Carolina State University, College of Veterinary Medicine, 4700 Hillsborough St. Raleigh, NC 27606, USA.
Res Vet Sci. 2009 Apr;86(2):293-301. doi: 10.1016/j.rvsc.2008.07.003. Epub 2008 Aug 21.
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.
联合药物治疗会因药物相互作用而增加药物不良反应的发生几率。在猪身上,磺胺二甲嘧啶(SMZ)与氟尼辛葡甲胺(FLU)同时给药时,其处置变化可能导致组织残留增加。需要一种能预测可能药物相互作用后果的药代动力学建模技术。已开发出一种基于生理的药代动力学模型,该模型将血浆蛋白结合相互作用与猪体内SMZ和FLU的药物处置联系起来。该模型预测总药物会持续减少,游离药物浓度会暂时增加。一项体内研究证实了药物相互作用的存在。该模型和体内研究均未揭示会改变组织处置的具有临床意义的变化。这种新颖的关联方法可用于预测血浆蛋白结合相互作用的临床影响。最终,它可用于给药方案的设计,并通过预测和最小化组织残留来保护食品供应。