Literature DB >> 25567366

Addressing the challenges of low clearance in drug research.

Li Di1, R Scott Obach.   

Abstract

As a result of high-throughput ADME screening, early metabolite identification, and exploration of novel chemical entities, low-intrinsic-clearance compounds continue to increase in drug discovery portfolios. Currently available in vitro tools have limited resolution below a certain intrinsic clearance value, which can lead to overestimation of clearance and dose and underestimation of half-life. Significant advances have been made in recent years and novel approaches have been developed to address the challenges of low clearance in drug discovery, such as the hepatocyte relay method, use of qNMR-based standards of biosynthesized drug metabolites to permit monitoring metabolite formation, coculture hepatocyte systems, and the time depending modeling approach. Future development in the field will enable faster, more precise, and lower cost profiling of the properties of low-clearance compounds for intrinsic clearance, metabolite identification, and reaction phenotyping.

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Year:  2015        PMID: 25567366      PMCID: PMC4365098          DOI: 10.1208/s12248-014-9691-7

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


  19 in total

1.  Validation of isolated metabolites from drug metabolism studies as analytical standards by quantitative NMR.

Authors:  Gregory S Walker; Tim F Ryder; Raman Sharma; Evan B Smith; Amy Freund
Journal:  Drug Metab Dispos       Date:  2010-11-22       Impact factor: 3.922

2.  Applications of high throughput microsomal stability assay in drug discovery.

Authors:  Li Di; Edward H Kerns; Xuewen JoAnn Ma; Youping Huang; Guy T Carter
Journal:  Comb Chem High Throughput Screen       Date:  2008-07       Impact factor: 1.339

Review 3.  Drug-like property concepts in pharmaceutical design.

Authors:  Li Di; Edward H Kerns; Guy T Carter
Journal:  Curr Pharm Des       Date:  2009       Impact factor: 3.116

4.  Development of a liver-targeted stearoyl-CoA desaturase (SCD) inhibitor (MK-8245) to establish a therapeutic window for the treatment of diabetes and dyslipidemia.

Authors:  Renata M Oballa; Liette Belair; W Cameron Black; Kelly Bleasby; Chi Chung Chan; Carole Desroches; Xiaobing Du; Robert Gordon; Jocelyne Guay; Sebastien Guiral; Michael J Hafey; Emelie Hamelin; Zheng Huang; Brian Kennedy; Nicolas Lachance; France Landry; Chun Sing Li; Joseph Mancini; Denis Normandin; Alessandro Pocai; David A Powell; Yeeman K Ramtohul; Kathryn Skorey; Dan Sørensen; Wayne Sturkenboom; Angela Styhler; Deena M Waddleton; Hao Wang; Simon Wong; Lijing Xu; Lei Zhang
Journal:  J Med Chem       Date:  2011-06-28       Impact factor: 7.446

5.  Discovery of (S)-6-(3-cyclopentyl-2-(4-(trifluoromethyl)-1H-imidazol-1-yl)propanamido)nicotinic acid as a hepatoselective glucokinase activator clinical candidate for treating type 2 diabetes mellitus.

Authors:  Jeffrey A Pfefferkorn; Angel Guzman-Perez; John Litchfield; Robert Aiello; Judith L Treadway; John Pettersen; Martha L Minich; Kevin J Filipski; Christopher S Jones; Meihua Tu; Gary Aspnes; Hud Risley; Jianwei Bian; Benjamin D Stevens; Patricia Bourassa; Theresa D'Aquila; Levenia Baker; Nicole Barucci; Alan S Robertson; Francis Bourbonais; David R Derksen; Margit Macdougall; Over Cabrera; Jing Chen; Amanda Lee Lapworth; James A Landro; William J Zavadoski; Karen Atkinson; Nahor Haddish-Berhane; Beijing Tan; Lili Yao; Rachel E Kosa; Manthena V Varma; Bo Feng; David B Duignan; Ayman El-Kattan; Sharad Murdande; Shenping Liu; Mark Ammirati; John Knafels; Paul Dasilva-Jardine; Laurel Sweet; Spiros Liras; Timothy P Rolph
Journal:  J Med Chem       Date:  2012-01-24       Impact factor: 7.446

6.  A microfluidic hepatic coculture platform for cell-based drug metabolism studies.

Authors:  Eric Novik; Timothy J Maguire; Piyun Chao; K C Cheng; Martin L Yarmush
Journal:  Biochem Pharmacol       Date:  2009-11-27       Impact factor: 5.858

Review 7.  Liver tissue engineering in the evaluation of drug safety.

Authors:  Ajit Dash; Walker Inman; Keith Hoffmaster; Samantha Sevidal; Joan Kelly; R Scott Obach; Linda G Griffith; Steven R Tannenbaum
Journal:  Expert Opin Drug Metab Toxicol       Date:  2009-10       Impact factor: 4.481

8.  Once weekly thyroxine treatment as a strategy to treat non-compliance.

Authors:  S Rangan; A A Tahrani; A F Macleod; P K Moulik
Journal:  Postgrad Med J       Date:  2007-10       Impact factor: 2.401

Review 9.  What is the objective of the mass balance study? A retrospective analysis of data in animal and human excretion studies employing radiolabeled drugs.

Authors:  Sarah J Roffey; R Scott Obach; Jenny I Gedge; Dennis A Smith
Journal:  Drug Metab Rev       Date:  2007       Impact factor: 4.518

10.  Obtaining exposures of metabolites in preclinical species through plasma pooling and quantitative NMR: addressing metabolites in safety testing (MIST) guidance without using radiolabeled compounds and chemically synthesized metabolite standards.

Authors:  Karthick Vishwanathan; Kathlene Babalola; Jack Wang; Robert Espina; Linning Yu; Adedayo Adedoyin; Rasmy Talaat; Abdul Mutlib; JoAnn Scatina
Journal:  Chem Res Toxicol       Date:  2009-02       Impact factor: 3.739

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  20 in total

1.  Chemoenzymatic Synthesis, Characterization, and Scale-Up of Milk Thistle Flavonolignan Glucuronides.

Authors:  Brandon T Gufford; Tyler N Graf; Noemi D Paguigan; Nicholas H Oberlies; Mary F Paine
Journal:  Drug Metab Dispos       Date:  2015-08-27       Impact factor: 3.922

2.  Further Assessment of the Relay Hepatocyte Assay for Determination of Intrinsic Clearance of Slowly Metabolised Compounds Using Radioactivity Monitoring and LC-MS Methods.

Authors:  Renata Murgasova
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2019-12       Impact factor: 2.441

3.  Interlaboratory Variability in Human Hepatocyte Intrinsic Clearance Values and Trends with Physicochemical Properties.

Authors:  Christine M Bowman; Leslie Z Benet
Journal:  Pharm Res       Date:  2019-05-31       Impact factor: 4.200

4.  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

5.  In Vitro-In Vivo Extrapolation and Hepatic Clearance-Dependent Underprediction.

Authors:  Christine M Bowman; Leslie Z Benet
Journal:  J Pharm Sci       Date:  2019-02-25       Impact factor: 3.534

6.  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

7.  Prediction of hepatic drug clearance with a human microfluidic four-cell liver acinus microphysiology system.

Authors:  Courtney Sakolish; Yu-Syuan Luo; Alan Valdiviezo; Lawrence A Vernetti; Ivan Rusyn; Weihsueh A Chiu
Journal:  Toxicology       Date:  2021-09-17       Impact factor: 4.221

8.  Variability in Human In Vitro Enzyme Kinetics.

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

Review 9.  The Ontogeny of UDP-glucuronosyltransferase Enzymes, Recommendations for Future Profiling Studies and Application Through Physiologically Based Pharmacokinetic Modelling.

Authors:  Justine Badée; Stephen Fowler; Saskia N de Wildt; Abby C Collier; Stephan Schmidt; Neil Parrott
Journal:  Clin Pharmacokinet       Date:  2019-02       Impact factor: 6.447

Review 10.  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

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