Literature DB >> 31274340

The potential protein-mediated hepatic uptake: discussion on the molecular interactions between albumin and the hepatocyte cell surface and their implications for the in vitro-to-in vivo extrapolations of hepatic clearance of drugs.

Michel Bteich1, Patrick Poulin1,2, Sami Haddad1.   

Abstract

Introduction: In quantitative modeling, the resolving of underpredictions and overpredictions of hepatic clearance (CLh) makes a top priority for pharmacokinetic modelers. Clearly, the 'protein-mediated hepatic uptake' is a violation of 'the free drug hypothesis', but the lack of its consideration in CLh-predictive approaches may be one of the reasons to explain the discrepancies between predicted and observed values. Areas covered: We first review the two 'albumin-facilitated hepatic uptake' models that were recently challenged to improve the in vitro-to-in vivo extrapolation (IVIVE) of CLh by reducing the underprediction bias, particularly in the absence of albumin (ALB) in vitro compared to the presence of ALB in vivo. Second, we identify three types of interactions related to the ALB-bound drug moiety (i.e., ALB-lipids, ALB-proteins, and ALB-ligand allosteric interactions) that may be behind the 'ALB-mediated hepatic uptake' mechanism(s) for highly bound drugs. Main keywords used in our search are IVIVE; albumin; allostery; protein-mediated uptake; hepatic clearance; polarized hepatocytes. Expert opinion: Understanding the implication of these interactions and the enzyme/transporter interplay for each drug would help selecting the appropriate IVIVE model. Therefore, we have proposed a tree of decision for guidance. The next step is to improve the 'ALB-facilitated hepatic uptake' models to cover the remaining uncertainties.

Entities:  

Keywords:  extrapolations; Albumin; PBPK; biopharmaceutics classification system; fractional plasma binding; pharmacokinetics; protein-ligand complex; protein-mediated hepatic uptake

Mesh:

Substances:

Year:  2019        PMID: 31274340     DOI: 10.1080/17425255.2019.1640679

Source DB:  PubMed          Journal:  Expert Opin Drug Metab Toxicol        ISSN: 1742-5255            Impact factor:   4.481


  8 in total

1.  Protein Binding and Hepatic Clearance: Re-Examining the Discrimination between Models of Hepatic Clearance with Diazepam in the Isolated Perfused Rat Liver Preparation.

Authors:  Hong-Jaan Wang; Leslie Z Benet
Journal:  Drug Metab Dispos       Date:  2019-09-28       Impact factor: 3.922

Review 2.  Contribution of Humanized Liver Chimeric Mice to the Study of Human Hepatic Drug Transporters: State of the Art and Perspectives.

Authors:  Anna Zerdoug; Marc Le Vée; Shotaro Uehara; Béatrice Lopez; Christophe Chesné; Hiroshi Suemizu; Olivier Fardel
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2022-07-06       Impact factor: 2.569

3.  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

4.  Prediction of Cyclosporin-Mediated Drug Interaction Using Physiologically Based Pharmacokinetic Model Characterizing Interplay of Drug Transporters and Enzymes.

Authors:  Yiting Yang; Ping Li; Zexin Zhang; Zhongjian Wang; Li Liu; Xiaodong Liu
Journal:  Int J Mol Sci       Date:  2020-09-24       Impact factor: 5.923

Review 5.  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

6.  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

7.  In Vitro-In Vivo Extrapolation by Physiologically Based Kinetic Modeling: Experience With Three Case Studies and Lessons Learned.

Authors:  Engi Abdelhady Algharably; Emma Di Consiglio; Emanuela Testai; Francesca Pistollato; Hans Mielke; Ursula Gundert-Remy
Journal:  Front Toxicol       Date:  2022-07-18

Review 8.  Imbalance of Drug Transporter-CYP450s Interplay by Diabetes and Its Clinical Significance.

Authors:  Yiting Yang; Xiaodong Liu
Journal:  Pharmaceutics       Date:  2020-04-11       Impact factor: 6.321

  8 in total

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