Department of Clinical Pharmacology and Pharmacoepidemiology, University Hospital Heidelberg, Heidelberg, Germany.
Br J Clin Pharmacol. 2012 Jul;74(1):66-74. doi: 10.1111/j.1365-2125.2012.04172.x.
• Renal impairment may affect the pharmacokinetics of peptide and protein drugs. • Molecular size is a predictor. Small molecules are eliminated by the kidneys, whereas large molecules (>67 kDa) are not. • Urinary recovery of peptide and protein drugs in healthy volunteers is not predictive for pharmacokinetic changes in patients with renal impairment.
• An apparently continuous non-linear relationship between molecular weight and pharmacokinetic alterations as observed in patients with severe renal impairment or end-stage renal disease is described. • Potentially relevant pharmacokinetic changes were found for drugs with a molecular weight below 50 kDa. • Analysis of observed pharmacokinetics in patients with severe renal impairment may be a useful approach, especially when urinary recovery in healthy volunteers is not predictive.
Drug dosage adjustments in renal impairment are usually based on estimated individual pharmacokinetics. The extent of pharmacokinetic changes in patients with renal impairment must be known for this estimation. If measured data are not available, an estimate based on drug elimination in urine of healthy subjects or patients with normal renal function is commonly made. This is not reliable, however, if renal drug metabolism is involved, as is presumably the case for many peptide and protein drugs. In the present study a new method to predict pharmacokinetic changes for such drugs based on molecular weight was derived.
Articles reporting measured pharmacokinetics of peptide and protein drugs in patients with severe renal impairment or end-stage renal disease were identified from the scientific literature, the pharmacokinetic parameter values were extracted and a statistical data synthesis was performed. A sigmoid E(max) model was applied and fitted to the data and the prediction error was analyzed.
Overall, 98 peptide and protein drugs were identified. Relevant pharmacokinetic data in patients with renal impairment were found for 21 of these drugs. The average drug clearance was 30% and the average prolongation in half-life was 3.1-fold for low molecular weight peptides or proteins. The median root squared percentage of the prediction error was 18% (drug clearance) and 12% (half-life).
An apparently continuous non-linear relationship between molecular weight and pharmacokinetic alterations in patients with severe renal impairment was found. The derived equations could be used as a rough guide for decisions on drug dosage adjustments in such patients.
肾功能损害可能会影响肽类和蛋白质类药物的药代动力学。
分子大小是一个预测因素。小分子通过肾脏消除,而大分子(>67 kDa)则不会。
健康志愿者中肽类和蛋白质类药物的尿液回收情况不能预测肾功能损害患者的药代动力学变化。
描述了在严重肾功能损害或终末期肾病患者中观察到的分子量与药代动力学改变之间的明显连续非线性关系。
对于分子量低于 50 kDa 的药物,发现了潜在相关的药代动力学变化。
在严重肾功能损害患者中分析观察到的药代动力学可能是一种有用的方法,尤其是在健康志愿者中的尿液回收情况不可预测时。
肾功能损害患者的药物剂量调整通常基于个体药代动力学的估计。为此,必须了解肾功能损害患者药代动力学的改变程度。如果没有测量数据,通常会根据健康受试者或肾功能正常患者的尿液中药物的消除情况进行估计。然而,如果涉及到肾脏药物代谢,这对于许多肽类和蛋白质类药物来说都是如此,那么这种方法就不可靠。在本研究中,基于分子量开发了一种预测此类药物药代动力学变化的新方法。
从科学文献中确定了报道肽类和蛋白质类药物在严重肾功能损害或终末期肾病患者中的药代动力学的文章,提取药代动力学参数值并进行统计数据综合分析。应用 sigmoid E(max) 模型对数据进行拟合,并分析预测误差。
总共鉴定出 98 种肽类和蛋白质类药物。在这些药物中,有 21 种药物发现了与肾功能损害相关的相关药代动力学数据。低分子量肽或蛋白质的平均药物清除率为 30%,平均半衰期延长 3.1 倍。预测误差的中位数根均方百分比为 18%(药物清除率)和 12%(半衰期)。
在严重肾功能损害患者中发现了分子量与药代动力学改变之间的明显连续非线性关系。推导的方程可作为此类患者药物剂量调整决策的大致指导。