Literature DB >> 21357702

Prediction of human renal clearance from preclinical species for a diverse set of drugs that exhibit both active secretion and net reabsorption.

Stuart W Paine1, Karelle Ménochet, Rebecca Denton, Dermot F McGinnity, Robert J Riley.   

Abstract

Identifying any extrahepatic excretion phenomenon in preclinical species is crucial for an accurate prediction of the pharmacokinetics in man. This understanding is particularly key for drugs with a small volume of distribution, because they require an especially low total clearance to be suitable for a once-a-day dosing regimen in man. In this study, three animal scaling techniques were applied for the prediction of the human renal clearance of 36 diverse drugs that show active secretion or net reabsorption: 1) direct correlations between renal clearance in man and each of the two main preclinical species (rat and dog); 2) simple allometry; and 3) Mahmood's renal clearance scaling method. The results show clearly that the predictions to man for the methods are improved significantly when corrections are made for species differences in plasma protein binding. Overall, the most accurate predictions were obtained by using a direct correlation with the dog renal clearance after correcting for differences in plasma protein binding and kidney blood flow (r² = 0.84), where predictions, on average, were within 2-fold of the observed renal clearance values in human.

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Year:  2011        PMID: 21357702     DOI: 10.1124/dmd.110.037267

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


  26 in total

1.  Predicting Clearance Mechanism in Drug Discovery: Extended Clearance Classification System (ECCS).

Authors:  Manthena V Varma; Stefanus J Steyn; Charlotte Allerton; Ayman F El-Kattan
Journal:  Pharm Res       Date:  2015-07-09       Impact factor: 4.200

2.  Mechanistic models describing active renal reabsorption and secretion: a simulation-based study.

Authors:  Melanie A Felmlee; Rutwij A Dave; Marilyn E Morris
Journal:  AAPS J       Date:  2012-11-30       Impact factor: 4.009

Review 3.  Dose selection based on physiologically based pharmacokinetic (PBPK) approaches.

Authors:  Hannah M Jones; Kapil Mayawala; Patrick Poulin
Journal:  AAPS J       Date:  2012-12-27       Impact factor: 4.009

4.  Influence of Molecular size on the clearance of antibody fragments.

Authors:  Zhe Li; Ben-Fillippo Krippendorff; Dhaval K Shah
Journal:  Pharm Res       Date:  2017-07-05       Impact factor: 4.200

5.  Quantitative structure-pharmacokinetic relationships for the prediction of renal clearance in humans.

Authors:  Rutwij A Dave; Marilyn E Morris
Journal:  Drug Metab Dispos       Date:  2014-10-28       Impact factor: 3.922

Review 6.  ITC recommendations for transporter kinetic parameter estimation and translational modeling of transport-mediated PK and DDIs in humans.

Authors:  M J Zamek-Gliszczynski; C A Lee; A Poirier; J Bentz; X Chu; H Ellens; T Ishikawa; M Jamei; J C Kalvass; S Nagar; K S Pang; K Korzekwa; P W Swaan; M E Taub; P Zhao; A Galetin
Journal:  Clin Pharmacol Ther       Date:  2013-02-25       Impact factor: 6.875

Review 7.  Key to Opening Kidney for In Vitro-In Vivo Extrapolation Entrance in Health and Disease: Part II: Mechanistic Models and In Vitro-In Vivo Extrapolation.

Authors:  Daniel Scotcher; Christopher Jones; Maria Posada; Aleksandra Galetin; Amin Rostami-Hodjegan
Journal:  AAPS J       Date:  2016-08-09       Impact factor: 4.009

Review 8.  Prediction of drug disposition on the basis of its chemical structure.

Authors:  David Stepensky
Journal:  Clin Pharmacokinet       Date:  2013-06       Impact factor: 6.447

9.  Prediction of Human Pharmacokinetics of Ulixertinib, a Novel ERK1/2 Inhibitor from Mice, Rats, and Dogs Pharmacokinetics.

Authors:  Ponnayyan Sulochana Suresh; Ravi Kumar Jairam; Devaraj V Chandrasekhar; Anera Balakrishna Vinod; Rakesh A Hiremath; Anusha Raj; Mohd Zainuddin; Ravi Kanth Bhamidipati; Ramesh Mullangi
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2018-08       Impact factor: 2.441

10.  The Importance of Incorporating OCT2 Plasma Membrane Expression and Membrane Potential in IVIVE of Metformin Renal Secretory Clearance.

Authors:  Vineet Kumar; Jia Yin; Sarah Billington; Bhagwat Prasad; Colin D A Brown; Joanne Wang; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2018-08-09       Impact factor: 3.922

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