Literature DB >> 33765384

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

Jasleen K Sodhi1, Leslie Z Benet1.   

Abstract

Development of new chemical entities is costly, time-consuming, and has a low success rate. Accurate prediction of pharmacokinetic properties is critical to progress compounds with favorable drug-like characteristics in lead optimization. Of particular importance is the prediction of hepatic clearance, which determines drug exposure and contributes to projection of dose, half-life, and bioavailability. The most commonly employed methodology to predict hepatic clearance is termed in vitro to in vivo extrapolation (IVIVE) that involves measuring drug metabolism in vitro, scaling-up this in vitro intrinsic clearance to a prediction of in vivo intrinsic clearance by reconciling the enzymatic content between the incubation and an average human liver, and applying a model of hepatic disposition to account for limitations of protein binding and blood flow to predict in vivo clearance. This manuscript reviews common in vitro techniques used to predict hepatic clearance as well as current challenges and recent theoretical advancements in IVIVE.

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Year:  2021        PMID: 33765384      PMCID: PMC8504179          DOI: 10.1021/acs.jmedchem.0c01930

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  105 in total

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Authors:  Leonid M Berezhkovskiy
Journal:  J Pharm Sci       Date:  2011-03       Impact factor: 3.534

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Authors:  Anna-Karin Sohlenius-Sternbeck
Journal:  Toxicol In Vitro       Date:  2006-06-29       Impact factor: 3.500

5.  Prediction of hepatic clearance using cryopreserved human hepatocytes: a comparison of serum and serum-free incubations.

Authors:  Nadège Blanchard; Nicola J Hewitt; Paul Silber; Hannah Jones; Philippe Coassolo; Thierry Lavé
Journal:  J Pharm Pharmacol       Date:  2006-05       Impact factor: 3.765

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Authors:  L Z Benet; S Liu; A R Wolfe
Journal:  Clin Pharmacol Ther       Date:  2017-09-06       Impact factor: 6.875

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Journal:  J Pharmacol Exp Ther       Date:  1977-02       Impact factor: 4.030

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

Authors:  Keith A Riccardi; David A Tess; Jian Lin; Roshan Patel; Sangwoo Ryu; Karen Atkinson; Li Di; Rui Li
Journal:  Drug Metab Dispos       Date:  2019-02-20       Impact factor: 3.922

10.  Alterations of membrane protein expression in red blood cells of Alzheimer's disease patients.

Authors:  György Várady; Edit Szabó; Ágnes Fehér; Adrienn Németh; Boglárka Zámbó; Magdolna Pákáski; Zoltán Janka; Balázs Sarkadi
Journal:  Alzheimers Dement (Amst)       Date:  2015-07-21
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  6 in total

1.  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

Review 2.  Current Approaches for Predicting Human PK for Small Molecule Development Candidates: Findings from the IQ Human PK Prediction Working Group Survey.

Authors:  Carl Petersson; Xin Zhou; Joerg Berghausen; David Cebrian; Michael Davies; Kevin DeMent; Peter Eddershaw; Arian Emami Riedmaier; Alix F Leblanc; Nenad Manveski; Punit Marathe; Panteleimon D Mavroudis; Robin McDougall; Neil Parrott; Andreas Reichel; Charles Rotter; David Tess; Laurie P Volak; Guangqing Xiao; Zheng Yang; James Baker
Journal:  AAPS J       Date:  2022-07-19       Impact factor: 3.603

Review 3.  Can In Vitro-In Vivo Extrapolation Be Successful? Recognizing the Incorrect Clearance Assumptions.

Authors:  Leslie Z Benet; Jasleen K Sodhi
Journal:  Clin Pharmacol Ther       Date:  2021-12-08       Impact factor: 6.903

4.  Multi-Well Array Culture of Primary Human Hepatocyte Spheroids for Clearance Extrapolation of Slowly Metabolized Compounds.

Authors:  Lena C Preiss; Volker M Lauschke; Katrin Georgi; Carl Petersson
Journal:  AAPS J       Date:  2022-03-11       Impact factor: 4.009

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

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Journal:  Drug Metab Rev       Date:  2021-05-25       Impact factor: 6.984

6.  Interactions Between Ephedra sinica and Prunus armeniaca: From Stereoselectivity to Deamination as a Metabolic Detoxification Mechanism of Amygdalin.

Authors:  Yan Qin; Shanshan Wang; Qiuyu Wen; Quan Xia; Sheng Wang; Guanjun Chen; Jiayin Sun; Chenlin Shen; Shuai Song
Journal:  Front Pharmacol       Date:  2021-11-26       Impact factor: 5.810

  6 in total

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