ReviewClinical pharmacokinetics2014
Prediction of pharmacokinetics and drug-drug interactions when hepatic transporters are involved.
Review in Clinical pharmacokinetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed.
- Biodistribution of Cerivastatin, Repaglinide, Glyburide, Rosuvastatin, and Valsartan in Cynomolgus Monkeys and PBPK Analysis.The AAPS journal · 2026Article
- Development of physiologically based liver distribution model that incorporates intracellular lipid partitioning and binding to fatty acid binding protein 1.The Journal of pharmacology and experimental therapeutics · 2026Article
- Physiologically Based Pharmacokinetic Model of OATP1B Substrates with a Nonlinear Mixed Effect Approach: Estimating Empirical In Vitro-to-In Vivo Scaling Factors.Clinical pharmacokinetics · 2024Article
- Evaluation of the drug-drug interaction potential of brigatinib using a physiologically-based pharmacokinetic modeling approach.CPT: pharmacometrics & systems pharmacology · 2024Article
- Physiologically-Based Pharmacokinetic Modeling of PAXLOVID™ with First-Order Absorption Kinetics.Pharmaceutical research · 2023Article
- The Role of "Physiologically Based Pharmacokinetic Model (PBPK)" New Approach Methodology (NAM) in Pharmaceuticals and Environmental Chemical Risk Assessment.International journal of environmental research and public health · 2023Review
- 3D cell culture models: Drug pharmacokinetics, safety assessment, and regulatory consideration.Clinical and translational science · 2021Review
- PBPK modeling to predict drug-drug interactions of ivosidenib as a perpetrator in cancer patients and qualification of the Simcyp platform for CYP3A4 induction.CPT: pharmacometrics & systems pharmacology · 2021Article
- Evaluation of Pharmacokinetic Drug-Drug Interactions: A Review of the Mechanisms, In Vitro and In Silico Approaches.Metabolites · 2021Review
- How Science Is Driving Regulatory Guidances.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Pharmacological Optimization for Successful Traumatic Brain Injury Drug Development.Journal of neurotrauma · 2020Review
- Quantitative Prediction of Interactions Mediated by Transporters and Cytochromes: Application to Organic Anion Transporting Polypeptides, Breast Cancer Resistance Protein and Cytochrome 2C8.Clinical pharmacokinetics · 2020Article
- Interindividual Diversity in Expression of Organic Anion Uptake Transporters in Normal and Cirrhotic Human Liver.Hepatology communications · 2020Article
- Use of imaging to assess the activity of hepatic transporters.Expert opinion on drug metabolism & toxicology · 2020Review
- Methamphetamine administration increases hepatic CYP1A2 but not CYP3A activity in female guinea pigs.PloS one · 2020Article
- Estimating In Vivo Fractional Contribution of OATP1B1 to Human Hepatic Active Uptake by Mechanistically Modeling Pharmacogenetic Data.The AAPS journal · 2019Article
- A Generic Model for Quantitative Prediction of Interactions Mediated by Efflux Transporters and Cytochromes: Application to P-Glycoprotein and Cytochrome 3A4.Clinical pharmacokinetics · 2019Article
- When Does the Rate-Determining Step in the Hepatic Clearance of a Drug Switch from Sinusoidal Uptake to All Hepatobiliary Clearances? Implications for Predicting Drug-Drug Interactions.Drug metabolism and disposition: the biological fate of chemicals · 2018Article
- Physiologically Based Pharmacokinetic Modelling with Dynamic PET Data to Study theContrast media & molecular imaging · 2018Article
- Reliable Rate Measurements for Active and Passive Hepatic Uptake Using Plated Human Hepatocytes.The AAPS journal · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatobiliary transport mechanisms have been identified to play a significant role in determining the systemic clearance for a number of widely prescribed drugs and an increasing number of new molecular entities (NMEs). While determining the pharmacokinetics, drug transporters also regulate the target tissue exposure and play a key role in regulating the pharmacological and/or toxicological responses. Consequently, it is of great relevance in drug discovery and development to assess hepatic transporter activity in regard to pharmacokinetic and dose predictions and to evaluate pharmacokinetic variability associated with drug-drug interactions (DDIs) and genetic variants. Mechanistic predictions utilizing physiological-based pharmacokinetic modeling are increasingly used to evaluate transporter contribution and delineate the transporter-enzyme interplay on the basis of hypothesis-driven functional in vitro findings. Significant strides were made in the development of in vitro techniques to facilitate characterization of hepatobiliary transport. However, challenges exist in the quantitative in vitro-in vivo extrapolation of transporter kinetics due to the lack of information on absolute abundance of the transporter in both in vitro and in vivo situations, and/or differential function in the holistic in vitro reagents such as suspended and plated hepatocytes systems, and lack of complete mechanistic understanding of liver model structure. On the other hand, models to predict transporter-mediated DDIs range from basic models to mechanistic static and dynamic models. While basic models provide conservative estimates and are useful upfront in avoiding false negative predictions, mechanistic models integrate multiple victim and perpetrator drugs parameters and are expected to provide quantitative predictions. The aim of this paper is to review the current state of the model-based approaches to predict clinical pharmacokinetics and DDIs of drugs or NMEs that are substrates of hepatic transporters.
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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.