Levy G
Department of Pharmaceutics, School of Pharmacy, State University of New York at Buffalo, Amherst, USA.
Clin Pharmacokinet. 1998 Apr;34(4):323-33. doi: 10.2165/00003088-199834040-00005.
Variability in the relationship between pharmacological effect intensity and drug concentration (pharmacodynamics) is pronounced, usually exceeding pharmacokinetic variability. Whereas interindividual differences are large, intra-individual differences are much smaller, unless the individual experiences certain pathophysiological changes such as deterioration of renal function or progression of a chronic disease (for example, Parkinson's disease). Failure to appreciate the magnitude of interindividual variability in the pharmacodynamics of a drug can compromise fixed dose clinical trial outcomes, making the drug appear less effective or more toxic. In the face of pharmacodynamic variability it becomes important to identify useful predictors (covariates) of pharmacodynamic individuality to facilitate individually optimised pharmacotherapy. This requires clinical trial designs that incorporate extensive patient profiling, well beyond the usual short list of demographics (such as age, gender, race, bodyweight and smoking habits). In searching for predictors, it is helpful to appreciate the factors that may account for interindividual differences in the relationship between pharmacological effect intensity and drug concentration in plasma or other appropriate fluid. They include receptor density and affinity, the formation and elimination kinetics of endogenous ligands (such as the enkephalins), postreceptor transduction processes, homeostatic responses and the kinetic characteristics of transporters involved in drug transfer between fluids of distribution and the biophase. Correction of drug concentrations in plasma for protein binding, consideration of active and interactive metabolites, stereospecific assays and attention to drug distribution disequilibria are essential for successful identification of factors affecting pharmacodynamic variability. Pharmaceutical delivery systems (the 'hardware') must be combined with guidance for individualising drug dosage (the 'software' or user's manual) to provide for optimal and cost-effective pharmacotherapy.
药理效应强度与药物浓度之间的关系(药效学)存在显著变异性,通常超过药代动力学变异性。个体间差异很大,而个体内差异要小得多,除非个体经历某些病理生理变化,如肾功能恶化或慢性病(如帕金森病)进展。未能认识到药物药效学中个体间变异性的程度可能会影响固定剂量临床试验的结果,使药物显得疗效较差或毒性更大。面对药效学变异性,识别药效学个体差异的有用预测指标(协变量)以促进个体化优化药物治疗变得很重要。这需要临床试验设计纳入广泛的患者特征分析,远远超出通常的简短人口统计学清单(如年龄、性别、种族、体重和吸烟习惯)。在寻找预测指标时,了解可能导致血浆或其他合适体液中药理效应强度与药物浓度关系个体间差异的因素会有所帮助。这些因素包括受体密度和亲和力、内源性配体(如脑啡肽)的形成和消除动力学、受体后转导过程、稳态反应以及参与药物在分布体液和生物相之间转移的转运体的动力学特征。校正血浆中与蛋白结合的药物浓度、考虑活性和相互作用代谢物、立体特异性测定以及关注药物分布不均衡对于成功识别影响药效学变异性的因素至关重要。药物递送系统(“硬件”)必须与个体化药物剂量指导(“软件”或用户手册)相结合,以提供最佳且具有成本效益的药物治疗。