Literature DB >> 30787098

A Novel Unified Approach to Predict Human Hepatic Clearance for Both Enzyme- and Transporter-Mediated Mechanisms Using Suspended Human Hepatocytes.

Keith A Riccardi1, David A Tess1, Jian Lin1, Roshan Patel1, Sangwoo Ryu1, Karen Atkinson1, Li Di2, Rui Li3.   

Abstract

The accurate prediction of human pharmacokinetics is critically important in modern drug discovery since it drives both pharmacological and toxicological effects. Although significant progress has been made in predicting drug disposition by hepatic drug-metabolizing enzymes, predicting transporter-mediated clearance is still highly uncertain. Furthermore, different approaches are often used to predict clearance with and without transporter involvement, hence the major clearance pathway for a compound must first be determined to know which approach to use. As a result of these challenges, a novel unified method has been developed using cryopreserved suspended human hepatocytes to predict human hepatic clearance for both enzyme- and transporter-mediated mechanisms. This method hypothesizes that, once in vitro metabolic stability is scaled by partition coefficients between hepatocytes and buffer with 4% bovine serum albumin, in vivo clearance can be better predicted. With this method, good in vitro-in vivo correlation of human hepatic clearance has been obtained for a set of 32 structurally diverse compounds, including such transporters as organic anion-transporting polypeptide substrates. The clearance predictions for most compounds are within 3-fold of observed values. This is the first time that multiple compounds result in good in vitro-in vivo extrapolation using an entirely "bottom-up" approach without any empirical scaling factor when transporter-mediated clearance is involved. Potential exceptions are compounds with significant biliary and/or extra-hepatic clearance. The method offers an alternative approach to more accurately predict human hepatic clearance when multiple complex mechanisms are involved.
Copyright © 2019 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2019        PMID: 30787098     DOI: 10.1124/dmd.118.085639

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


  11 in total

Review 1.  Drug Concentration Asymmetry in Tissues and Plasma for Small Molecule-Related Therapeutic Modalities.

Authors:  Donglu Zhang; Cornelis E C A Hop; Gabriela Patilea-Vrana; Gautham Gampa; Herana Kamal Seneviratne; Jashvant D Unadkat; Jane R Kenny; Karthik Nagapudi; Li Di; Lian Zhou; Mark Zak; Matthew R Wright; Namandjé N Bumpus; Richard Zang; Xingrong Liu; Yurong Lai; S Cyrus Khojasteh
Journal:  Drug Metab Dispos       Date:  2019-07-02       Impact factor: 3.922

2.  Consideration of the Unbound Drug Concentration in Enzyme Kinetics.

Authors:  Nigel J Waters; R Scott Obach; Li Di
Journal:  Methods Mol Biol       Date:  2021

3.  In Vitro - in Vivo Extrapolation of Hepatic Clearance in Preclinical Species.

Authors:  David A Tess; Sangwoo Ryu; Li Di
Journal:  Pharm Res       Date:  2022-03-07       Impact factor: 4.200

4.  Albumin-Mediated Uptake Improves Human Clearance Prediction for Hepatic Uptake Transporter Substrates Aiding a Mechanistic In Vitro-In Vivo Extrapolation (IVIVE) Strategy in Discovery Research.

Authors:  Na Li; Akshay Badrinarayanan; Kazuya Ishida; Xingwen Li; John Roberts; Shuai Wang; Mike Hayashi; Anshul Gupta
Journal:  AAPS J       Date:  2020-11-16       Impact factor: 4.009

5.  Investigating the Theoretical Basis for In Vitro-In Vivo Extrapolation (IVIVE) in Predicting Drug Metabolic Clearance and Proposing Future Experimental Pathways.

Authors:  Leslie Z Benet; Jasleen K Sodhi
Journal:  AAPS J       Date:  2020-09-10       Impact factor: 4.009

6.  Challenging the Relevance of Unbound Tissue-to-Blood Partition Coefficient (Kpuu) on Prediction of Drug-Drug Interactions.

Authors:  Jasleen K Sodhi; Shuaibing Liu; Leslie Z Benet
Journal:  Pharm Res       Date:  2020-03-25       Impact factor: 4.200

7.  Estimation of the Effect of OAT2-Mediated Active Uptake on Meloxicam Exposure in the Human Liver.

Authors:  Rui Li; Sumathy Mathialagan; Jonathan J Novak; Heather Eng; Keith Riccardi; John Litchfield
Journal:  AAPS J       Date:  2020-01-03       Impact factor: 4.009

Review 8.  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 9.  Examination of Physiologically-Based Pharmacokinetic Models of Rosuvastatin.

Authors:  Christine M Bowman; Fang Ma; Jialin Mao; Yuan Chen
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2020-12-15

10.  Proteomics-Informed Prediction of Rosuvastatin Plasma Profiles in Patients With a Wide Range of Body Weight.

Authors:  Christine Wegler; Luna Prieto Garcia; Signe Klinting; Ida Robertsen; Jacek R Wiśniewski; Jøran Hjelmesaeth; Anders Åsberg; Rasmus Jansson-Löfmark; Tommy B Andersson; Per Artursson
Journal:  Clin Pharmacol Ther       Date:  2020-10-18       Impact factor: 6.875

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