Literature DB >> 27506526

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.

Daniel Scotcher1, Christopher Jones2, Maria Posada3, Aleksandra Galetin1, Amin Rostami-Hodjegan4,5.   

Abstract

It is envisaged that application of mechanistic models will improve prediction of changes in renal disposition due to drug-drug interactions, genetic polymorphism in enzymes and transporters and/or renal impairment. However, developing and validating mechanistic kidney models is challenging due to the number of processes that may occur (filtration, secretion, reabsorption and metabolism) in this complex organ. Prediction of human renal drug disposition from preclinical species may be hampered by species differences in the expression and activity of drug metabolising enzymes and transporters. A proposed solution is bottom-up prediction of pharmacokinetic parameters based on in vitro-in vivo extrapolation (IVIVE), mediated by recent advances in in vitro experimental techniques and application of relevant scaling factors. This review is a follow-up to the Part I of the report from the 2015 AAPS Annual Meeting and Exhibition (Orlando, FL; 25th-29th October 2015) which focuses on IVIVE and mechanistic prediction of renal drug disposition. It describes the various mechanistic kidney models that may be used to investigate renal drug disposition. Particular attention is given to efforts that have attempted to incorporate elements of IVIVE. In addition, the use of mechanistic models in prediction of renal drug-drug interactions and potential for application in determining suitable adjustment of dose in kidney disease are discussed. The need for suitable clinical pharmacokinetics data for the purposes of delineating mechanistic aspects of kidney models in various scenarios is highlighted.

Entities:  

Keywords:  active renal excretion; human kidney transporters; human renal drug clearance; kidney disease; non-hepatic drug metabolism

Mesh:

Substances:

Year:  2016        PMID: 27506526     DOI: 10.1208/s12248-016-9959-1

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  93 in total

Review 1.  Physiologically based pharmacokinetics joined with in vitro-in vivo extrapolation of ADME: a marriage under the arch of systems pharmacology.

Authors:  A Rostami-Hodjegan
Journal:  Clin Pharmacol Ther       Date:  2012-05-30       Impact factor: 6.875

2.  Characterization of in vitro glucuronidation clearance of a range of drugs in human kidney microsomes: comparison with liver and intestinal glucuronidation and impact of albumin.

Authors:  Katherine L Gill; J Brian Houston; Aleksandra Galetin
Journal:  Drug Metab Dispos       Date:  2012-01-24       Impact factor: 3.922

3.  Quantitative prediction of renal transporter-mediated clinical drug-drug interactions.

Authors:  Bo Feng; Susan Hurst; Yasong Lu; Manthena V Varma; Charles J Rotter; Ayman El-Kattan; Peter Lockwood; Brian Corrigan
Journal:  Mol Pharm       Date:  2013-10-10       Impact factor: 4.939

Review 4.  Physiologically based pharmacokinetic modeling in drug discovery and development: a pharmaceutical industry perspective.

Authors:  H M Jones; Y Chen; C Gibson; T Heimbach; N Parrott; S A Peters; J Snoeys; V V Upreti; M Zheng; S D Hall
Journal:  Clin Pharmacol Ther       Date:  2015-01-09       Impact factor: 6.875

5.  Application of a physiologically based pharmacokinetic model informed by a top-down approach for the prediction of pharmacokinetics in chronic kidney disease patients.

Authors:  Hiroyuki Sayama; Hiroaki Takubo; Hiroshi Komura; Motohiro Kogayu; Masahiro Iwaki
Journal:  AAPS J       Date:  2014-06-11       Impact factor: 4.009

6.  Drug dosing consideration in patients with acute and chronic kidney disease-a clinical update from Kidney Disease: Improving Global Outcomes (KDIGO).

Authors:  Gary R Matzke; George R Aronoff; Arthur J Atkinson; William M Bennett; Brian S Decker; Kai-Uwe Eckardt; Thomas Golper; Darren W Grabe; Bertram Kasiske; Frieder Keller; Jan T Kielstein; Ravindra Mehta; Bruce A Mueller; Deborah A Pasko; Franz Schaefer; Domenic A Sica; Lesley A Inker; Jason G Umans; Patrick Murray
Journal:  Kidney Int       Date:  2011-09-14       Impact factor: 10.612

7.  Estimating glomerular filtration rate from serum creatinine and cystatin C.

Authors:  Lesley A Inker; Christopher H Schmid; Hocine Tighiouart; John H Eckfeldt; Harold I Feldman; Tom Greene; John W Kusek; Jane Manzi; Frederick Van Lente; Yaping Lucy Zhang; Josef Coresh; Andrew S Levey
Journal:  N Engl J Med       Date:  2012-07-05       Impact factor: 91.245

8.  Measurement and compartmental modeling of the effect of CYP3A5 gene variation on systemic and intrarenal tacrolimus disposition.

Authors:  S Zheng; Y Tasnif; M F Hebert; C L Davis; Y Shitara; J C Calamia; Y S Lin; D D Shen; K E Thummel
Journal:  Clin Pharmacol Ther       Date:  2012-10-17       Impact factor: 6.875

9.  Protein kinase C activation downregulates human organic anion transporter 1-mediated transport through carrier internalization.

Authors:  Natascha A Wolff; Karen Thies; Nicola Kuhnke; Glen Reid; Björn Friedrich; Florian Lang; Gerhard Burckhardt
Journal:  J Am Soc Nephrol       Date:  2003-08       Impact factor: 10.121

10.  Physiologically Based Pharmacokinetics Is Impacting Drug Development and Regulatory Decision Making.

Authors:  M Rowland; L J Lesko; A Rostami-Hodjegan
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2015-06-15
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  12 in total

Review 1.  Advances in predictive in vitro models of drug-induced nephrotoxicity.

Authors:  Joanne Y-C Soo; Jitske Jansen; Rosalinde Masereeuw; Melissa H Little
Journal:  Nat Rev Nephrol       Date:  2018-06       Impact factor: 28.314

Review 2.  Challenges in working towards an internal threshold of toxicological concern (iTTC) for use in the safety assessment of cosmetics: Discussions from the Cosmetics Europe iTTC Working Group workshop.

Authors:  Corie A Ellison; Karen L Blackburn; Paul L Carmichael; Harvey J Clewell; Mark T D Cronin; Bertrand Desprez; Sylvia E Escher; Steve S Ferguson; Sébastien Grégoire; Nicola J Hewitt; Heli M Hollnagel; Martina Klaric; Atish Patel; Sabrina Salhi; Andreas Schepky; Barbara G Schmitt; John F Wambaugh; Andrew Worth
Journal:  Regul Toxicol Pharmacol       Date:  2019-01-15       Impact factor: 3.271

3.  Predicting tubular reabsorption with a human kidney proximal tubule tissue-on-a-chip and physiologically-based modeling.

Authors:  Courtney Sakolish; Zunwei Chen; Chimeddulam Dalaijamts; Kusumica Mitra; Yina Liu; Tracy Fulton; Terry L Wade; Edward J Kelly; Ivan Rusyn; Weihsueh A Chiu
Journal:  Toxicol In Vitro       Date:  2019-12-17       Impact factor: 3.500

4.  Prediction of Drug Clearance from Enzyme and Transporter Kinetics.

Authors:  Priyanka R Kulkarni; Amir S Youssef; Aneesh A Argikar
Journal:  Methods Mol Biol       Date:  2021

5.  Novel method for kinetic analysis applied to transport by the uniporter OCT2.

Authors:  Stephen H Wright; Timothy W Secomb
Journal:  Am J Physiol Renal Physiol       Date:  2022-07-21

Review 6.  Molecular and cellular physiology of organic cation transporter 2.

Authors:  Stephen H Wright
Journal:  Am J Physiol Renal Physiol       Date:  2019-11-04

7.  Systems Toxicology: Real World Applications and Opportunities.

Authors:  Thomas Hartung; Rex E FitzGerald; Paul Jennings; Gary R Mirams; Manuel C Peitsch; Amin Rostami-Hodjegan; Imran Shah; Martin F Wilks; Shana J Sturla
Journal:  Chem Res Toxicol       Date:  2017-03-31       Impact factor: 3.739

8.  Delineating the Role of Various Factors in Renal Disposition of Digoxin through Application of Physiologically Based Kidney Model to Renal Impairment Populations.

Authors:  Daniel Scotcher; Christopher R Jones; Aleksandra Galetin; Amin Rostami-Hodjegan
Journal:  J Pharmacol Exp Ther       Date:  2017-01-05       Impact factor: 4.030

9.  Microsomal and Cytosolic Scaling Factors in Dog and Human Kidney Cortex and Application for In Vitro-In Vivo Extrapolation of Renal Metabolic Clearance.

Authors:  Daniel Scotcher; Sarah Billington; Jay Brown; Christopher R Jones; Colin D A Brown; Amin Rostami-Hodjegan; Aleksandra Galetin
Journal:  Drug Metab Dispos       Date:  2017-03-07       Impact factor: 3.922

10.  A Novel Physiologically Based Model of Creatinine Renal Disposition to Integrate Current Knowledge of Systems Parameters and Clinical Observations.

Authors:  Daniel Scotcher; Vikram Arya; Xinning Yang; Ping Zhao; Lei Zhang; Shiew-Mei Huang; Amin Rostami-Hodjegan; Aleksandra Galetin
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2020-05-22
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