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人类代谢药物清除率的预测:体外-体内外推法与异速生长标度法

Prediction of metabolic drug clearance in humans: in vitro-in vivo extrapolation vs allometric scaling.

作者信息

Shiran M R, Proctor N J, Howgate E M, Rowland-Yeo K, Tucker G T, Rostami-Hodjegan A

机构信息

Academic Unit of Clinical Pharmacology, Division of Clinical Sciences (South), University of Sheffield, Royal Hallamshire Hospital, Sheffield, UK.

出版信息

Xenobiotica. 2006 Jul;36(7):567-80. doi: 10.1080/00498250600761662.

Abstract

Previously in vitro-in vivo extrapolation (IVIVE) with the Simcyp Clearance and Interaction Simulator has been used to predict the clearance of 15 clinically used drugs in humans. The criteria for the selection of the drugs were that they are used as probes for the activity of specific cytochromes P450 (CYPs) or have a single CYP isoform as the major or sole contributor to their metabolism and that they do not exhibit non-linear kinetics in vivo. Where data were available for the clearance of the drugs in at least three animal species, the predictions from IVIVE have now been compared with those based on allometric scaling (AS). Adequate data were available for estimating oral clearance (CLp.o.) in 9 cases (alprazolam, sildenafil, caffeine, clozapine, cyclosporine, dextromethorphan, midazolam, omeprazole and tolbutamide) and intravenous clearance in 6 cases (CLi.v.) (cyclosporine, diclofenac, midazolam, omeprazole, theophylline and tolterodine). AS predictions were based on five different methods: (1) simple allometry (clearance versus body weight); (2) correction for maximum life-span potential (CL x MLP); (3) correction for brain weight (CL x BrW); (4) the use of body surface area; and (5) the rule of exponents. A prediction accuracy was indicated by mean-fold error and the Pearson product moment correlation coefficient. Predictions were considered successful if the mean-fold error was <or=2. IVIVE predictions were accurate in 14 of 15 cases (mean-fold error range: 1.02-4.00). All five AS methods were accurate in 13, 11, 10, 10 and 14 cases, respectively. However, in some cases the error of AS exceeded fivefold. On the basis of the current results, IVIVE is more reliable than AS in predicting human clearance values for drugs mainly metabolized by CYP450 enzymes. This suggests that the place of AS methods in pre-clinical drug development warrants further scrutiny.

摘要

此前,利用Simcyp清除率与相互作用模拟器进行的体外-体内外推法(IVIVE)已被用于预测15种临床常用药物在人体内的清除率。选择这些药物的标准是,它们被用作特定细胞色素P450(CYP)活性的探针,或者有一种单一的CYP同工酶作为其代谢的主要或唯一贡献者,并且它们在体内不表现出非线性动力学。在至少三种动物物种中有药物清除率数据的情况下,现在已将IVIVE的预测结果与基于异速生长标度法(AS)的预测结果进行了比较。有足够的数据可用于估计9种药物的口服清除率(CLp.o.)(阿普唑仑、西地那非、咖啡因、氯氮平、环孢素、右美沙芬、咪达唑仑、奥美拉唑和甲苯磺丁脲)以及6种药物的静脉清除率(CLi.v.)(环孢素、双氯芬酸、咪达唑仑、奥美拉唑、茶碱和托特罗定)。AS预测基于五种不同的方法:(1)简单异速生长法(清除率与体重);(2)最大寿命潜能校正法(CL×MLP);(3)脑重校正法(CL×BrW);(4)体表面积的使用;(5)指数规则。预测准确性通过平均倍数误差和Pearson积矩相关系数来表示。如果平均倍数误差≤2,则认为预测成功。IVIVE预测在15个案例中的14个是准确的(平均倍数误差范围:1.02 - 4.00)。五种AS方法分别在13、11、10、10和14个案例中是准确的。然而,在某些情况下,AS的误差超过了五倍。基于目前的结果,在预测主要由CYP450酶代谢的药物的人体清除率值方面,IVIVE比AS更可靠。这表明AS方法在临床前药物开发中的地位值得进一步审视。

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