Summary
2006, Vol. 36, No. 7, Pages 567-580 , DOI 10.1080/00498250600761662

Prediction of metabolic drug clearance in humans: In vitro–in vivo extrapolation vs allometric scaling

M. R. Shiran, N. J. Proctor, E. M. Howgate, K. Rowland-Yeo, G. T. Tucker and A. Rostami-Hodjegan
Academic Unit of Clinical Pharmacology, Division of Clinical Sciences (South), University of Sheffield, Royal Hallamshire Hospital, Sheffield, UK
Simcyp® Ltd, Sheffield, UK
Current address: Department of Pharmacology and Toxicology, School of Pharmacy, Mazandaran University of Medical Sciences, Sari, Iran

Academic Unit of Clinical Pharmacology, Floor M, Royal Hallamshire Hospital, Sheffield S10 2JF, UK, 44-0114-2712156, 44-0114-2268986



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×MLP); (3) correction for brain weight (CL×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 ≤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.

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Forward Links to Citing Articles

T. A. McIntyre, C. Han, C. B. Davis. (2009) Prediction of animal clearance using naïve Bayesian classification and extended connectivity fingerprints. Xenobiotica 39:7, 487-494
Online publication date: 1-Jul-2009.
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Masoud Jamei, Steve Marciniak, Kairui Feng, Adrian Barnett, Geoffrey Tucker, Amin Rostami-Hodjegan. (2009) The Simcyp® Population-based ADME Simulator. Expert Opinion on Drug Metabolism & Toxicology 5:2, 211-223
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T. A. Mcintyre, C. Han, H. Xiang, R. Bambal, C. B. Davis. (2008) Differences in the total body clearance of lead compounds in the rat and mouse: Impact on pharmacokinetic screening strategy. Xenobiotica 38:6, 605-619
Online publication date: 1-Jun-2008.
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Olavi Pelkonen, Jaime Kapitulnik, Ursula Gundert-Remy, AlanR. Boobis, Armel Stockis. (2008) Local Kinetics and Dynamics of Xenobiotics. Critical Reviews in Toxicology 38:8, 697-720
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Stefan S De Buck, Claire E Mackie. (2007) Physiologically based approaches towards the prediction of pharmacokinetics: in vitro–in vivo extrapolation. Expert Opinion on Drug Metabolism & Toxicology 3:6, 865-878
Online publication date: 1-Dec-2007.
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O. Pelkonen, M. Turpeinen. (2007) In vitro–in vivo extrapolation of hepatic clearance: Biological tools, scaling factors, model assumptions and correct concentrations. Xenobiotica 37:10-11, 1066-1089
Online publication date: 1-Nov-2007.
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P. J. Lowe, Y. Hijazi, O. Luttringer, H. Yin, R. Sarangapani, D. Howard. (2007) On the anticipation of the human dose in first-in-man trials from preclinical and prior clinical information in early drug development. Xenobiotica 37:10-11, 1331-1354
Online publication date: 1-Nov-2007.
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Authors:
M. R. Shiran
N. J. Proctor
E. M. Howgate
K. Rowland-Yeo
G. T. Tucker
A. Rostami-Hodjegan
Keywords:
Metabolic clearance
allometric scaling
in vitro–in vivo correlation
pre-clinical drug development