Literature DB >> 27365096

Key to Opening Kidney for In Vitro-In Vivo Extrapolation Entrance in Health and Disease: Part I: In Vitro Systems and Physiological Data.

Daniel Scotcher1, Christopher Jones2, Maria Posada3, Amin Rostami-Hodjegan1,4, Aleksandra Galetin5.   

Abstract

The programme for the 2015 AAPS Annual Meeting and Exhibition (Orlando, FL; 25-29 October 2015) included a sunrise session presenting an overview of the state-of-the-art tools for in vitro-in vivo extrapolation (IVIVE) and mechanistic prediction of renal drug disposition. These concepts are based on approaches developed for prediction of hepatic clearance, with consideration of scaling factors physiologically relevant to kidney and the unique and complex structural organisation of this organ. Physiologically relevant kidney models require a number of parameters for mechanistic description of processes, supported by quantitative information on renal physiology (system parameters) and in vitro/in silico drug-related data. This review expands upon the themes raised during the session and highlights the importance of high quality in vitro drug data generated in appropriate experimental setup and robust system-related information for successful IVIVE of renal drug disposition. The different in vitro systems available for studying renal drug metabolism and transport are summarised and recent developments involving state-of-the-art technologies highlighted. Current gaps and uncertainties associated with system parameters related to human kidney for the development of physiologically based pharmacokinetic (PBPK) model and quantitative prediction of renal drug disposition, excretion, and/or metabolism are identified.

Entities:  

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

Mesh:

Substances:

Year:  2016        PMID: 27365096     DOI: 10.1208/s12248-016-9942-x

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


  100 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.  Kinetic considerations for the quantitative assessment of efflux activity and inhibition: implications for understanding and predicting the effects of efflux inhibition.

Authors:  J Cory Kalvass; Gary M Pollack
Journal:  Pharm Res       Date:  2006-12-27       Impact factor: 4.200

Review 4.  Linking physiology to toxicity using DILIsym®, a mechanistic mathematical model of drug-induced liver injury.

Authors:  Lisl K M Shoda; Jeffrey L Woodhead; Scott Q Siler; Paul B Watkins; Brett A Howell
Journal:  Biopharm Drug Dispos       Date:  2013-11-25       Impact factor: 1.627

Review 5.  Membrane transporters in drug development.

Authors:  Kathleen M Giacomini; Shiew-Mei Huang; Donald J Tweedie; Leslie Z Benet; Kim L R Brouwer; Xiaoyan Chu; Amber Dahlin; Raymond Evers; Volker Fischer; Kathleen M Hillgren; Keith A Hoffmaster; Toshihisa Ishikawa; Dietrich Keppler; Richard B Kim; Caroline A Lee; Mikko Niemi; Joseph W Polli; Yuichi Sugiyama; Peter W Swaan; Joseph A Ware; Stephen H Wright; Sook Wah Yee; Maciej J Zamek-Gliszczynski; Lei Zhang
Journal:  Nat Rev Drug Discov       Date:  2010-03       Impact factor: 84.694

6.  Micropuncture study of renal tubular hydrogen ion transport in the rat.

Authors:  G Malnic; M De Mello Aires; G Giebisch
Journal:  Am J Physiol       Date:  1972-01

7.  Quantification of proteins by flow cytometry: Quantification of human hepatic transporter P-gp and OATP1B1 using flow cytometry and mass spectrometry.

Authors:  Karen Hogg; Jerry Thomas; David Ashford; Jared Cartwright; Ruth Coldwell; Daniel J Weston; John Pillmoor; Dominic Surry; Peter O'Toole
Journal:  Methods       Date:  2015-04-24       Impact factor: 3.608

8.  Role of organic cation transporter OCT2 and multidrug and toxin extrusion proteins MATE1 and MATE2-K for transport and drug interactions of the antiviral lamivudine.

Authors:  Fabian Müller; Jörg König; Eva Hoier; Kathrin Mandery; Martin F Fromm
Journal:  Biochem Pharmacol       Date:  2013-07-20       Impact factor: 5.858

Review 9.  Kidney-on-a-Chip Technology for Drug-Induced Nephrotoxicity Screening.

Authors:  Martijn J Wilmer; Chee Ping Ng; Henriëtte L Lanz; Paul Vulto; Laura Suter-Dick; Rosalinde Masereeuw
Journal:  Trends Biotechnol       Date:  2015-12-18       Impact factor: 19.536

10.  A Human Renal Proximal Tubule Cell Line with Stable Organic Anion Transporter 1 and 3 Expression Predictive for Antiviral-Induced Toxicity.

Authors:  Tom T G Nieskens; Janny G P Peters; Marieke J Schreurs; Niels Smits; Rob Woestenenk; Katja Jansen; Thom K van der Made; Melanie Röring; Constanze Hilgendorf; Martijn J Wilmer; Rosalinde Masereeuw
Journal:  AAPS J       Date:  2016-01-28       Impact factor: 4.009

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  15 in total

1.  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

2.  A Population WB-PBPK Model of Colistin and its Prodrug CMS in Pigs: Focus on the Renal Distribution and Excretion.

Authors:  Alexis Viel; Jérôme Henri; Salim Bouchène; Julian Laroche; Jean-Guy Rolland; Jacqueline Manceau; Michel Laurentie; William Couet; Nicolas Grégoire
Journal:  Pharm Res       Date:  2018-03-12       Impact factor: 4.200

3.  Towards best use and regulatory acceptance of generic physiologically based kinetic (PBK) models for in vitro-to-in vivo extrapolation (IVIVE) in chemical risk assessment.

Authors:  Abdulkarim Najjar; Ans Punt; John Wambaugh; Alicia Paini; Corie Ellison; Styliani Fragki; Enrica Bianchi; Fagen Zhang; Joost Westerhout; Dennis Mueller; Hequn Li; Quan Shi; Timothy W Gant; Phil Botham; Rémi Bars; Aldert Piersma; Ben van Ravenzwaay; Nynke I Kramer
Journal:  Arch Toxicol       Date:  2022-09-05       Impact factor: 6.168

Review 4.  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

5.  In Vivo-to-In Vitro Extrapolation of Transporter-Mediated Renal Clearance: Relative Expression Factor Versus Relative Activity Factor Approach.

Authors:  Aditya R Kumar; Bhagwat Prasad; Deepak Kumar Bhatt; Sumathy Mathialagan; Manthena V S Varma; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2021-04-06       Impact factor: 3.579

6.  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

7.  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

8.  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

Review 9.  The Combination of Cell Cultured Technology and In Silico Model to Inform the Drug Development.

Authors:  Zhengying Zhou; Jinwei Zhu; Muhan Jiang; Lan Sang; Kun Hao; Hua He
Journal:  Pharmaceutics       Date:  2021-05-12       Impact factor: 6.321

10.  Prediction of Metabolite-to-Parent Drug Exposure: Derivation and Application of a Mechanistic Static Model.

Authors:  Ernesto Callegari; Manthena V S Varma; R Scott Obach
Journal:  Clin Transl Sci       Date:  2020-02-04       Impact factor: 4.689

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