首页> 外文期刊>Xenobiotica: the fate of foreign compounds in biological systems >Prediction of metabolic drug clearance in humans: in vitro-in vivo extrapolation vs allometric scaling.
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Prediction of metabolic drug clearance in humans: in vitro-in vivo extrapolation vs allometric scaling.

机译:人体代谢药物清除率的预测:体外-体内外推法与异速比定标度。

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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
机译:以前,使用Simcyp清除和相互作用模拟器进行体外-体内外推(IVIVE)可以预测15种临床使用药物在人体内的清除率。选择药物的标准是它们被用作特定细胞色素P450(CYPs)活性的探针,或具有单个CYP亚型作为其代谢的主要或唯一贡献者,并且它们不表现出非线性动力学。体内。在可获得至少三种动物物种中药物清除率的数据的地方,现在已将IVIVE的预测与基于异速比标法(AS)的预测进行了比较。有足够的数据可用于估算9例(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,奥美拉唑和甲苯丁酰胺)的口服清除率(CLp.o.)和6例病例(CLi.v.)的静脉清除率(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)简单的异速测量法(清除率与体重); (2)修正最大使用寿命电位(CL x MLP); (3)校正脑重量(CL x BrW); (4)利用人体表面积; (5)指数规则。预测准确度由平均倍误差和皮尔逊乘积矩相关系数表示。如果平均折叠误差小于或等于2,则认为预测成功。 15例病例中有14例的IVIVE预测准确(平均错误范围:1.02-4.00)。所有五种AS方法分别在13、11、10、10和14例中是准确的。但是,在某些情况下,AS的错误超过了五倍。根据当前结果,IVIVE在预测主要由CYP450酶代谢的药物的人类清除率值方面,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查。

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