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Prediction of Clearance in Humans from In Vitro Human Liver Microsomes and Allometric Scaling. A Comparative Study of the Two Approaches
Abstract
The objective of this study was to evaluate whether the predicted clearance of a drug in humans from in vitro human liver microsomes was comparable with the predicted clearance in humans obtained by allometric scaling. Sixteen drugs were randomly selected from the literature and their hepatic clearances were predicted using human liver microsomes. For allometric scaling at least three animal species were used and three methods were utilized to generate allometric equations to predict the clearance in humans: (i) clearance vs body weight (simple allometry); (ii) product of the clearance and maximum life-span potential (MLP) vs body weight; and (iii) the product of clearance and brain weight vs body weight. The choice of one of the methods was based on the 'rule of exponents' as described by Mahmood and Balian /2,3/. The results of this study indicated that the use of human liver microsomes to predict hepatic clearance in humans may not provide reliable predictions. On the other hand, the prediction of clearance in humans using allometric scaling combined with the 'rule of exponents' can provide comparatively better prediction of clearance in humans.
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Mahmood demonstrated that MLP corrected AS produced the same results as the in vitro correction method.
“Although this in vitro correction method provided a rationale based on physiological factors, Mahmood [102] demonstrated that MLP corrected AS produced the same results.”
From Interpretation of Non-Clinical Data for Prediction of Human Pharmacokinetic Parameters: In Vitro-In Vivo Extrapolation and Allometric Scaling (2019) · cites this paper as [102]
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Research works printed but not linked: 45
- 10.1007/BF01059667 · DOI · Paper page
- 10.3109/03602538409033558 · DOI
- 10.1007/BF03189622 · DOI
- Obach RS, 1997, J Pharmacol Exp Ther, 283, 46, 10.1016/S0022-3565(24)36999-X · DOI · Paper page
- 10.1021/js9702628 · DOI
- 10.1080/004982598238859 · DOI
- 10.1016/S0163-7258(96)00184-2 · DOI · Paper page
- Sacher G, 1959, CIBA Foundation Colloquia on Aging. London: Churchill, 115
- BoxenbaumΗ C, 1995, J Clin Pharmacol, 35, 957, 10.1002/j.1552-4604.1995.tb04011.x · DOI
- 10.1016/0006-2952(94)90520-7 · DOI · Paper page
- 10.1097/00008571-199412000-00010 · DOI
- Klotz U, 1976, J Pharmacol Exp Ther, 199, 67, 10.1016/S0022-3565(25)30657-9 · DOI
- 10.1002/jat.2550090509 · DOI
- 10.1002/jps.2600710723 · DOI
- 10.1007/BF00510985 · DOI
- 10.1007/BF01059331 · DOI
- 10.1002/jps.2600801203 · DOI
- 10.1097/00008571-199910000-00002 · DOI
- 10.1038/clpt.1989.5 · DOI
- 10.1080/004982599238687 · DOI
- 10.1046/j.1365-2125.2001.00318.x · DOI
- Rane A, 1984, J Pharmacol Exp Ther, 228, 774, 10.1016/S0022-3565(25)21973-5 · DOI
- Belpaire FM, 1990, J Pharmacol Exp Ther, 254, 116, 10.1016/S0022-3565(25)12609-8 · DOI
- Murthy SS, 1991, Drug Metab Disp, 19, 1093, 10.1016/S0090-9556(25)09040-3 · DOI
- 10.1007/BF03190855 · DOI
- Kim M, 1993, Drug Metab Disp, 21, 309, 10.1016/S0090-9556(25)08097-3 · DOI
- 10.1023/A:1018914816137 · DOI
- 10.3109/00498259209053133 · DOI
- 10.1016/S0278-5846(82)80180-2 · DOI
- 10.1159/000028333 · DOI
- Evans GH, 1973, J Pharmacol Ther, 186, 114, 10.1016/S0022-3565(25)29572-6 · DOI
- Marathe PH, 1994, Drug Metab Disp, 22, 237, 10.1016/S0090-9556(25)08364-3 · DOI
- Chang KHT, 1993, Cancer Res, 53, 5629
- Dusterberg B, 1986, Arzneim-Forsch, 36, 1187
- Purba HS, 1987, Br J Clin Pharmacol, 23, 447, 10.1111/j.1365-2125.1987.tb03074.x · DOI
- Izumi T, 1996, J Pharmacol Exp Ther, 277, 1630, 10.1016/S0022-3565(25)13117-0 · DOI
- 10.2165/00003088-199937020-00001 · DOI
- Stryd RP, 1992, Pharm Res, 9, S312, 10.1023/A:1015826532087 · DOI
- Wienkers LC, 1996, J Pharmacol Exp Ther, 277, 982, 10.1016/S0022-3565(25)12957-1 · DOI
- Wienkers LC, 1996, J Pharmacol Exp Ther, 287, 583, 10.1016/S0022-3565(24)37831-0 · DOI
- Riekosezewski W, 1993, Drug Metab Disp, 21, 690, 10.1016/S0090-9556(25)07474-4 · DOI
- Venkataramanan R, 1990, Transplant Prog, 22, 52
- 10.2165/00003088-199529060-00003 · DOI
- 10.1016/0006-2952(94)90136-8 · DOI
- Mahmood I, 2001, Drug Metab Drug Interact, 18, 135, 10.1515/DMDI.2001.18.2.135 · DOI
Metadata
- Authors
- Mahmood
- Affiliations
- Center for Biologics Evaluation and Research (US)
- Corresponding author
- Mahmood,, I.
- ORCID
- Mahmood,, I.
- Venue
- Drug Metabolism and Drug Interactions
- Publisher
- Walter de Gruyter GmbH
- Published
- 2002-09
- Volume
- 19
- Issue
- 1
- Pages
- 49-64
- ISSN
- 0334-2190 (ISSN-L)
- 2191-0162
- 0792-5077
- OpenAlex
- W2315133816
- Cited by
- 29
- References
- 47
- Citations by year
- 2024: 1 · 2019: 1 · 2018: 1 · 2017: 1 · 2015: 2 · 2014: 1 · 2012: 3
- FWCI
- 1.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Drug metabolism and drug interactions (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Pharmaceutical studies and practices
- Health Sciences › Veterinary › Small Animals › Animal testing and alternatives
- Keywords
- human liver microsomes, allometric scaling, brain weight, body weight, in vitro-in vivo extrapolation, drug metabolism
- MeSH terms
- Animals, Biometry, Body Weight, Brain, Humans, Life Expectancy, Metabolic Clearance Rate, Microsomes, Liver, Models, Chemical, Organ Size, Pharmacokinetics, In Vitro Techniques
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