Literature DB >> 8654187

Species similarities and differences in pharmacokinetics.

J H Lin1.   

Abstract

One of the fundamental challenges drug metabolism scientists face in drug discovery and development is the extrapolation of metabolic data and risk assessment from animals to humans. Although it is generally believed that data from animal studies can be reasonably extrapolated to humans with the application of appropriate pharmacokinetic principles, there are certainly some limitations. The purpose of this review is to show some species similarities and differences in absorption, distribution, metabolism, and excretion, with an attempt to address the questions of whether animal data can be extrapolated and what the limitations are. The underlying mechanisms responsible for these similarities and differences are discussed and examples given for illustration. In addition, the concepts of allometric and physiological models for extrapolation of kinetic data are briefly highlighted. In conclusion, although pharmacokinetics has been advanced greatly in recent years, it is not yet possible to predict all of the pharmacokinetic parameters of a drug in humans from animal studies. Nevertheless, under certain well-defined conditions, it may be possible to make reasonably good predictions. For example, the intrinsic absorption of a given drug across the wall of the gastrointestinal tract is probably similar among species, because the nature of the biomembrane of epithelial cells is similar in mammals and because the absorption process is basically an interaction between the drug and the biomembrane. However, other factors, such as pH-dependent solubility and first-pass metabolism that affect the absorption, may differ from species to species resulting in species differences in absorption. Predicting the renal excretion of drugs in humans has been relatively successful using the glomerular filtration rate ratio between humans and animals. Similarity, if the elimination of a drug is mainly by the liver and the rate of elimination is limited by hepatic blood flow, one could predict the clearance of the drug in humans by the hepatic blood flow. However, biochemical parameters, such as protein binding and drug metabolism, are less predictable. These parameters vary considerably among species.

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Year:  1995        PMID: 8654187

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  86 in total

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Review 2.  Prediction of hepatic metabolic clearance based on interspecies allometric scaling techniques and in vitro-in vivo correlations.

Authors:  T Lavé; P Coassolo; B Reigner
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Review 3.  At the heart of computational modelling.

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Review 4.  ADME of biologics-what have we learned from small molecules?

Authors:  Thomayant Prueksaritanont; Cuyue Tang
Journal:  AAPS J       Date:  2012-04-07       Impact factor: 4.009

Review 5.  Role of biotransformation in drug-induced toxicity: influence of intra- and inter-species differences in drug metabolism.

Authors:  Thomas A Baillie; Allan E Rettie
Journal:  Drug Metab Pharmacokinet       Date:  2010-10-22       Impact factor: 3.614

Review 6.  Drug compounding for veterinary patients.

Authors:  Mark G Papich
Journal:  AAPS J       Date:  2005-09-22       Impact factor: 4.009

7.  Interspecies pharmacokinetics and in vitro metabolism of SQ109.

Authors:  Lee Jia; Patricia E Noker; Lori Coward; Gregory S Gorman; Marina Protopopova; Joseph E Tomaszewski
Journal:  Br J Pharmacol       Date:  2006-03       Impact factor: 8.739

8.  Interspecies allometric scaling of antimalarial drugs and potential application to pediatric dosing.

Authors:  S M D K Ganga Senarathna; Kevin T Batty
Journal:  Antimicrob Agents Chemother       Date:  2014-08-04       Impact factor: 5.191

Review 9.  Pharmacologic management of Duchenne muscular dystrophy: target identification and preclinical trials.

Authors:  Joe N Kornegay; Christopher F Spurney; Peter P Nghiem; Candice L Brinkmeyer-Langford; Eric P Hoffman; Kanneboyina Nagaraju
Journal:  ILAR J       Date:  2014

10.  Evaluating the Use of Antibody Variable Region (Fv) Charge as a Risk Assessment Tool for Predicting Typical Cynomolgus Monkey Pharmacokinetics.

Authors:  Daniela Bumbaca Yadav; Vikas K Sharma; Charles Andrew Boswell; Isidro Hotzel; Devin Tesar; Yonglei Shang; Yong Ying; Saloumeh K Fischer; Jane L Grogan; Eugene Y Chiang; Konnie Urban; Sheila Ulufatu; Leslie A Khawli; Saileta Prabhu; Sean Joseph; Robert F Kelley
Journal:  J Biol Chem       Date:  2015-10-21       Impact factor: 5.157

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