ArticleDrug metabolism and disposition: the biological fate of chemicals2013
Application of receiver operating characteristic analysis to refine the prediction of potential digoxin drug interactions.
Article in Drug metabolism and disposition: the biological fate of chemicals, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.
- Intestinal Efflux Transporters P-gp and BCRP Are Not Clinically Relevant in Apixaban Disposition.Pharmaceutical research · 2020Pooled it
- A Phase 1 Study to Assess the Effect of Fruquintinib on the Pharmacokinetics of P-gp and BCRP Substrates in Healthy Subjects.Clinical and translational science · 2025Article
- Lack of Pharmacokinetic Drug-Drug Interactions Between Bepirovirsen and Nucleos(t)ide Analogs.Clinical pharmacology in drug development · 2025Article
- Comparison and summary of in silico prediction tools for CYP450-mediated drug metabolism.Drug discovery today · 2023Review
- Clinical Pharmacokinetics of Approved RNA Therapeutics.International journal of molecular sciences · 2023Review
- Clinical Relevance of Hepatic and Renal P-gp/BCRP Inhibition of Drugs: An International Transporter Consortium Perspective.Clinical pharmacology and therapeutics · 2022Review
- Physiologically-based pharmacokinetic modeling to evaluate in vitro-to-in vivo extrapolation for intestinal P-glycoprotein inhibition.CPT: pharmacometrics & systems pharmacology · 2022Article
- Case Study 8: Status of the Structural Mass Action Kinetic Model of P-gp-Mediated Transport Through Confluent Cell Monolayers.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Digoxin-induced anemia among patients with atrial fibrillation and heart failure: clinical data analysis and drug-gene interaction network.Oncotarget · 2017Article
- Prioritizing pharmacokinetic drug interaction precipitants in natural products: application to OATP inhibitors in grapefruit juice.Biopharmaceutics & drug disposition · 2017Article
- Evaluation of P-Glycoprotein Inhibitory Potential Using a Rhodamine 123 Accumulation Assay.Pharmaceutics · 2016Article
- Recent advances in understanding hepatic drug transport.F1000Research · 2016Review
- A novel application of t-statistics to objectively assess the quality of IC50 fits for P-glycoprotein and other transporters.Pharmacology research & perspectives · 2015Article
- Quantitative targeted proteomics for membrane transporter proteins: method and application.The AAPS journal · 2014Review
- Physiologically based pharmacokinetic modelling and in vivo [I]/K(i) accurately predict P-glycoprotein-mediated drug-drug interactions with dabigatran etexilate.British journal of pharmacology · 2014Article
- Variability in P-glycoprotein inhibitory potency (IC₅₀) using various in vitro experimental systems: implications for universal digoxin drug-drug interaction risk assessment decision criteria.Drug metabolism and disposition: the biological fate of chemicals · 2013Article
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Authors and funding
33 authors at 16 institutions in 5 countries.
Funding
Abstract
In the 2012 Food and Drug Administration (FDA) draft guidance on drug-drug interactions (DDIs), a new molecular entity that inhibits P-glycoprotein (P-gp) may need a clinical DDI study with a P-gp substrate such as digoxin when the maximum concentration of inhibitor at steady state divided by IC₅₀ ([I₁]/IC₅₀) is ≥0.1 or concentration of inhibitor based on highest approved dose dissolved in 250 ml divide by IC₅₀ ([I₂]/IC₅₀) is ≥10. In this article, refined criteria are presented, determined by receiver operating characteristic analysis, using IC₅₀ values generated by 23 laboratories. P-gp probe substrates were digoxin for polarized cell-lines and N-methyl quinidine or vinblastine for P-gp overexpressed vesicles. Inhibition of probe substrate transport was evaluated using 15 known P-gp inhibitors. Importantly, the criteria derived in this article take into account variability in IC₅₀ values. Moreover, they are statistically derived based on the highest degree of accuracy in predicting true positive and true negative digoxin DDI results. The refined criteria of [I₁]/IC₅₀ ≥ 0.03 and [I₂]/IC₅₀ ≥ 45 and FDA criteria were applied to a test set of 101 in vitro-in vivo digoxin DDI pairs collated from the literature. The number of false negatives (none predicted but DDI observed) were similar, 10 and 12%, whereas the number of false positives (DDI predicted but not observed) substantially decreased from 51 to 40%, relative to the FDA criteria. On the basis of estimated overall variability in IC₅₀ values, a theoretical 95% confidence interval calculation was developed for single laboratory IC₅₀ values, translating into a range of [I₁]/IC₅₀ and [I₂]/IC₅₀ values. The extent by which this range falls above the criteria is a measure of risk associated with the decision, attributable to variability in IC₅₀ values.
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