Literature DB >> 26363026

Low-Turnover Drug Molecules: A Current Challenge for Drug Metabolism Scientists.

J Matthew Hutzler1, Barbara J Ring2, Shelby R Anderson2.   

Abstract

In vitro assays using liver subcellular fractions or suspended hepatocytes for characterizing the metabolism of drug candidates play an integral role in the optimization strategy employed by medicinal chemists. However, conventional in vitro assays have limitations in their ability to predict clearance and generate metabolites for low-turnover (slowly metabolized) drug molecules. Due to a rapid loss in the activity of the drug-metabolizing enzymes, in vitro incubations are typically performed for a maximum of 1 hour with liver microsomes to 4 hours with suspended hepatocytes. Such incubations are insufficient to generate a robust metabolic response for compounds that are slowly metabolized. Thus, the challenge of accurately estimating low human clearance with confidence has emerged to be among the top challenges that drug metabolism scientists are confronted with today. In response, investigators have evaluated novel methodologies to extend incubation times and more sufficiently measure metabolism of low-turnover drugs. These methods include plated human hepatocytes in monoculture, and a novel in vitro methodology using a relay of sequential incubations with suspended cryopreserved hepatocytes. In addition, more complex in vitro cellular models, such as HepatoPac (Hepregen, Medford, MA), a micropatterned hepatocyte-fibroblast coculture system, and the HµREL (Beverley Hills, CA) hepatic coculture system, have been developed and characterized that demonstrate prolonged enzyme activity. In this review, the advantages and disadvantages of each of these in vitro methodologies as it relates to the prediction of clearance and metabolite identification will be described in an effort to provide drug metabolism scientists with the most up-to-date experimental options for dealing with the complex issue of low-turnover drug candidates.
Copyright © 2015 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2015        PMID: 26363026     DOI: 10.1124/dmd.115.066431

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


  14 in total

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

Authors:  Priyanka R Kulkarni; Amir S Youssef; Aneesh A Argikar
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3.  A novel in vitro allometric scaling methodology for aldehyde oxidase substrates to enable selection of appropriate species for traditional allometry.

Authors:  Rachel D Crouch; J Matthew Hutzler; J Scott Daniels
Journal:  Xenobiotica       Date:  2017-03-10       Impact factor: 1.908

4.  Metabolic Profiling of Human Long-Term Liver Models and Hepatic Clearance Predictions from In Vitro Data Using Nonlinear Mixed-Effects Modeling.

Authors:  Nicole A Kratochwil; Christophe Meille; Stephen Fowler; Florian Klammers; Aynur Ekiciler; Birgit Molitor; Sandrine Simon; Isabelle Walter; Claudia McGinnis; Johanna Walther; Brian Leonard; Miriam Triyatni; Hassan Javanbakht; Christoph Funk; Franz Schuler; Thierry Lavé; Neil J Parrott
Journal:  AAPS J       Date:  2017-01-03       Impact factor: 4.009

5.  Variability in Human In Vitro Enzyme Kinetics.

Authors:  Christopher R Gibson; Ying-Hong Wang; Ninad Varkhede; Bennett Ma
Journal:  Methods Mol Biol       Date:  2021

6.  How Science Is Driving Regulatory Guidances.

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Review 7.  Successful and Unsuccessful Prediction of Human Hepatic Clearance for Lead Optimization.

Authors:  Jasleen K Sodhi; Leslie Z Benet
Journal:  J Med Chem       Date:  2021-03-25       Impact factor: 7.446

Review 8.  PXR-mediated idiosyncratic drug-induced liver injury: mechanistic insights and targeting approaches.

Authors:  Jingheng Wang; Monicah Bwayi; Rebecca R Florke Gee; Taosheng Chen
Journal:  Expert Opin Drug Metab Toxicol       Date:  2020-06-16       Impact factor: 4.481

9.  Recent developments in in vitro and in vivo models for improved translation of preclinical pharmacokinetics and pharmacodynamics data.

Authors:  Jaydeep Yadav; Mehdi El Hassani; Jasleen Sodhi; Volker M Lauschke; Jessica H Hartman; Laura E Russell
Journal:  Drug Metab Rev       Date:  2021-05-25       Impact factor: 6.984

10.  Discovery and Preclinical Pharmacology of INE963, a Potent and Fast-Acting Blood-Stage Antimalarial with a High Barrier to Resistance and Potential for Single-Dose Cures in Uncomplicated Malaria.

Authors:  Benjamin R Taft; Fumiaki Yokokawa; Tom Kirrane; Anne-Catherine Mata; Richard Huang; Nicole Blaquiere; Grace Waldron; Bin Zou; Oliver Simon; Subramanyam Vankadara; Wai Ling Chan; Mei Ding; Sandra Sim; Judith Straimer; Armand Guiguemde; Suresh B Lakshminarayana; Jay Prakash Jain; Christophe Bodenreider; Christopher Thompson; Christian Lanshoeft; Wei Shu; Eric Fang; Jafri Qumber; Katherine Chan; Luying Pei; Yen-Liang Chen; Hanna Schulz; Jessie Lim; Siti Nurdiana Abas; Xiaoman Ang; Yugang Liu; Iñigo Angulo-Barturen; María Belén Jiménez-Díaz; Francisco Javier Gamo; Benigno Crespo-Fernandez; Philip J Rosenthal; Roland A Cooper; Patrick Tumwebaze; Anna Caroline Campos Aguiar; Brice Campo; Simon Campbell; Jürgen Wagner; Thierry T Diagana; Christopher Sarko
Journal:  J Med Chem       Date:  2022-03-01       Impact factor: 8.039

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