Model-based approaches to predict drug–drug interactions associated with hepatic uptake transporters: preclinical, clinical and beyond
Abstract
Introduction Membrane transporters have been recognized to play a key role in determining the absorption, distribution and elimination processes of drugs. The organic anion-transporting polypeptide (OATP)1B1 and OATP1B3 isoforms are selectively expressed in the human liver and are known to cause significant drug-drug interactions (DDIs), as observed with an increasing number of drugs. It is evident that DDIs involving hepatic transporters are capable of altering systemic, as well as tissue-specific, exposure of drug substrates resulting in marked differences in drug safety and/or efficacy. It is therefore essential to quantitatively predict such interactions early in the drug development to mitigate clinical risks. Areas covered The role of hepatic uptake transporters in drug disposition and clinical DDIs has been reviewed with an emphasis on the current state of the models applicable for quantitative predictions. The readers will also gain insight into the in vitro experimental tools available to characterize transport kinetics, while appreciating the knowledge gaps in the in vitro-in vivo extrapolation (IVIVE), which warrant further investigation. Expert opinion Static and dynamic models can be convincingly applied to quantitatively predict drug interactions, early in drug discovery, to mitigate clinical risks as well as to avoid unnecessary clinical studies. Compared to basic models, which focus on individual processes, mechanistic models provide the ability to assess DDI…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Preclinical assessments of drug-interactions in in vitro liver models rely on both biliary excretion and a physiological drug uptake via basolateral membrane transporters.
“Preclinical assessments of drug-interactions in in vitro liver models rely on both biliary excretion and a physiological drug uptake via basolateral membrane transporters (Barton et al., 2013[3]).”
From Optimization of extracellular matrix for primary human hepatocyte cultures using mixed collagen-matrigel matrices (2023) · cites this paper as Barton et al., 2013[3]
Cites
The Simcyp <sup>®</sup> Population-based ADME Simulator
Jamei, M., Marciniak, S., Feng, K., Barnett, A., Tucker, G., & Rostami-Hodjegan, A. (2009) · Expert Opinion on Drug Metabolism & Toxicology · doi:10.1517/17425250802691074 · Cited by 533 · see citing works
Rostami-Hodjegan, A. (2012) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2012.65 · Cited by 331 · see citing works
Novel In Vitro-In Vivo Extrapolation (IVIVE) Method to Predict Hepatic Organ Clearance in Rat
Umehara, K.-I., & Camenisch, G. (2012) · Pharmaceutical Research · doi:10.1007/s11095-011-0607-2 · Cited by 65 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Predicting Clearance Mechanism in Drug Discovery: Extended Clearance Classification System (ECCS)
Varma, M. V., Steyn, S. J., Allerton, C., & El-Kattan, A. F. (2015) · Pharmaceutical Research · doi:10.1007/s11095-015-1749-4 · Cited by 334 · see citing works
Self-citationSeidemann, L., Prinz, S., Scherbel, J.-C., Götz, C., Seehofer, D., & Damm, G. (2023) · IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund · doi:10.17179/excli2022-5459 · Cited by 3 · see citing works
“Preclinical assessments of drug-interactions in in vitro liver models rely on both biliary excretion and a physiological drug uptake via basolateral membrane transporters (Barton et al., 2013).”
- Authors
- Barton, H. A., Lai, Y., Goosen, T. C., Jones, H. M., El-Kattan, A. F., Gosset, J. R., Lin, J., & Varma, M. V.
- Affiliations
- Pfizer (United States) (US)
- Venue
- Expert Opinion on Drug Metabolism & Toxicology
- Publisher
- Informa UK Limited
- Published
- 2013-01-21
- Volume
- 9
- Issue
- 4
- Pages
- 459-472
- ISSN
- 1742-5255 (ISSN-L)
- 1744-7607
- OpenAlex
- W2041233844
- Cited by
- 68
- References
- 3
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 1 · 2022: 3 · 2021: 4 · 2020: 8 · 2019: 2 · 2018: 4 · 2017: 6 · 2016: 10 · 2015: 9 · 2014: 10 · 2013: 8
- FWCI
- 1.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Expert Opinion on Drug Metabolism & Toxicology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Keywords
- drug-drug interactions, hepatic uptake transporters, OATP1B1, OATP1B3, organic anion transporters, physiologically based pharmacokinetic modeling, in vitro-in vivo extrapolation, transport kinetics, mechanistic modeling, drug disposition
- MeSH terms
- Rosuvastatin Calcium, Cell Line, Drug Interactions, Drug Evaluation, Preclinical, Fluorobenzenes, Humans, Kinetics, Liver, Models, Theoretical, Pyrimidines, Sulfonamides, Pravastatin, Hepatocytes, Membrane Transport Proteins, Chemical Phenomena
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review