ArticleDrug metabolism and disposition: the biological fate of chemicals2019
The Presence of a Transporter-Induced Protein Binding Shift: A New Explanation for Protein-Facilitated Uptake and Improvement for In Vitro-In Vivo Extrapolation.
Article in Drug metabolism and disposition: the biological fate of chemicals, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 55 citations in OpenAlex.
- Novel method of measurement of in vitro drug uptake in OATP1B3 overexpressing cells in the presence of dextran.Pharmacological reports : PR · 2024Article
- Building a Predictive PBPK Model for Human OATP Substrates: a Strategic Framework for Early Evaluation of Clinical Pharmacokinetic Variations Using Pitavastatin as an Example.The AAPS journal · 2024Article
- Unraveling Complexities in the Absorption and Disposition Kinetics of Abiraterone via Iterative PBPK Model Development and Refinement.Clinical pharmacokinetics · 2023Article
- Mutant p53, the Mevalonate Pathway and the Tumor Microenvironment Regulate Tumor Response to Statin Therapy.Cancers · 2022Review
- Does Addition of Protein to Hepatocyte or Microsomal In Vitro Incubations Provide a Useful Improvement in In Vitro-In Vivo Extrapolation Predictability?Drug metabolism and disposition: the biological fate of chemicals · 2022Article
- Paeoniflorin alleviates 17α-ethinylestradiol-induced cholestasisFrontiers in pharmacology · 2022Article
- Microcystin Toxicokinetics, Molecular Toxicology, and Pathophysiology in Preclinical Rodent Models and Humans.Toxins · 2021Review
- Recent developments inDrug metabolism reviews · 2021Article
- Successful and Unsuccessful Prediction of Human Hepatic Clearance for Lead Optimization.Journal of medicinal chemistry · 2021Review
- Prediction of Drug Clearance from Enzyme and Transporter Kinetics.Methods in molecular biology (Clifton, N.J.) · 2021Article
- 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.The AAPS journal · 2020Article
- Investigating the Theoretical Basis for In Vitro-In Vivo Extrapolation (IVIVE) in Predicting Drug Metabolic Clearance and Proposing Future Experimental Pathways.The AAPS journal · 2020Article
- Drug Concentration Asymmetry in Tissues and Plasma for Small Molecule-Related Therapeutic Modalities.Drug metabolism and disposition: the biological fate of chemicals · 2019Review
- Toward a Consensus on Applying Quantitative Liquid Chromatography-Tandem Mass Spectrometry Proteomics in Translational Pharmacology Research: A White Paper.Clinical pharmacology and therapeutics · 2019Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Accurately predicting hepatic clearance is an integral part of the drug-development process, and yet current in vitro to in vivo (IVIVE) extrapolation methods yield poor predictions, particularly for highly protein-bound transporter substrates. Explanations for error include inaccuracies in protein-binding measurements and the lack of recognition of protein-facilitated uptake, where both unbound and bound drug may be cleared, violating the principles of the widely accepted free drug theory. A new explanation for protein-facilitated uptake is proposed here, called a
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.