Literature DB >> 11782818

Interspecies scaling: predicting oral clearance in humans.

Iftekhar Mahmood1.   

Abstract

The objective of this study was to test the interspecies scaling approach for a wide variety of drugs to predict oral clearance in humans from animal data. This study is an attempt to evaluate whether the rule of exponents of Mahmood and Balian for the prediction of systemic clearance can also be applied for the prediction of oral clearance in humans. Three different methods were used to generate log-log plots to scale up the clearance values: (1) clearance versus body weight (simple allometric equation), (2) the product of clearance and maximum life-span potential (MLP) versus body weight, and (3) the product of clearance and brain weight versus body weight. Data from 32 drugs were analyzed, and it was concluded that the oral clearance of drugs could be best predicted using one of the allometric equations.

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Year:  2002        PMID: 11782818     DOI: 10.1097/00045391-200201000-00008

Source DB:  PubMed          Journal:  Am J Ther        ISSN: 1075-2765            Impact factor:   2.688


  4 in total

Review 1.  Population pharmacokinetic studies in pediatrics: issues in design and analysis.

Authors:  Bernd Meibohm; Stephanie Läer; John C Panetta; Jeffrey S Barrett
Journal:  AAPS J       Date:  2005-10-05       Impact factor: 4.009

2.  Predicting oral clearance in humans: how close can we get with allometry?

Authors:  Vikash K Sinha; Stefan S De Buck; Luca A Fenu; Johan W Smit; Marjoleen Nijsen; Ron A H J Gilissen; Achiel Van Peer; Karel Lavrijsen; Claire E Mackie
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

Review 3.  Metabotropic glutamate receptor modulation, translational methods, and biomarkers: relationships with anxiety.

Authors:  R E Nordquist; T Steckler; J G Wettstein; C Mackie; W Spooren
Journal:  Psychopharmacology (Berl)       Date:  2008-03-06       Impact factor: 4.530

Review 4.  Polypharmacy in Zoological Medicine.

Authors:  Robert P Hunter; Ramiro Isaza
Journal:  Pharmaceutics       Date:  2017-02-22       Impact factor: 6.321

  4 in total

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