Literature DB >> 23620486

Application of receiver operating characteristic analysis to refine the prediction of potential digoxin drug interactions.

Harma Ellens1, Shibing Deng, Joann Coleman, Joe Bentz, Mitchell E Taub, Isabelle Ragueneau-Majlessi, Sophie P Chung, Krisztina Herédi-Szabó, Sibylle Neuhoff, Johan Palm, Praveen Balimane, Lei Zhang, Masoud Jamei, Imad Hanna, Michael O'Connor, Dallas Bednarczyk, Malin Forsgard, Xiaoyan Chu, Christoph Funk, Ailan Guo, Kathleen M Hillgren, Libin Li, Anne Y Pak, Elke S Perloff, Ganesh Rajaraman, Laurent Salphati, Jan-Shiang Taur, Dietmar Weitz, Heleen M Wortelboer, Cindy Q Xia, Guangqing Xiao, Tetsuo Yamagata, Caroline A Lee.   

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In the 2012 Food and Drug Administration (FDA) draft guidance on drug-drug interactions (DDIs), a new molecular entity that inhibits P-glycoprotein (P-gp) may need a clinical DDI study with a P-gp substrate such as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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Year:  2013        PMID: 23620486      PMCID: PMC3684818          DOI: 10.1124/dmd.112.050542

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  44 in total

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6.  The effects of captopril on serum digoxin levels in patients with severe congestive heart failure.

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8.  Variability in P-glycoprotein inhibitory potency (IC₅₀) using various in vitro experimental systems: implications for universal digoxin drug-drug interaction risk assessment decision criteria.

Authors:  Joe Bentz; Michael P O'Connor; Dallas Bednarczyk; Joann Coleman; Caroline Lee; Johan Palm; Y Anne Pak; Elke S Perloff; Eric Reyner; Praveen Balimane; Marie Brännström; Xiaoyan Chu; Christoph Funk; Ailan Guo; Imad Hanna; Krisztina Herédi-Szabó; Kate Hillgren; Libin Li; Evelyn Hollnack-Pusch; Masoud Jamei; Xuena Lin; Andrew K Mason; Sibylle Neuhoff; Aarti Patel; Lalitha Podila; Emile Plise; Ganesh Rajaraman; Laurent Salphati; Eric Sands; Mitchell E Taub; Jan-Shiang Taur; Dietmar Weitz; Heleen M Wortelboer; Cindy Q Xia; Guangqing Xiao; Jocelyn Yabut; Tetsuo Yamagata; Lei Zhang; Harma Ellens
Journal:  Drug Metab Dispos       Date:  2013-04-25       Impact factor: 3.922

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10.  A comparison between the effects of diltiazem and isosorbide dinitrate on digoxin pharmacodynamics and kinetics in the treatment of patients with chronic ischemic heart failure.

Authors:  Afaf A Mahgoub; Azza H El-Medany; Ahmed S Abdulatif
Journal:  Saudi Med J       Date:  2002-06       Impact factor: 1.484

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  12 in total

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2.  Variability in P-glycoprotein inhibitory potency (IC₅₀) using various in vitro experimental systems: implications for universal digoxin drug-drug interaction risk assessment decision criteria.

Authors:  Joe Bentz; Michael P O'Connor; Dallas Bednarczyk; Joann Coleman; Caroline Lee; Johan Palm; Y Anne Pak; Elke S Perloff; Eric Reyner; Praveen Balimane; Marie Brännström; Xiaoyan Chu; Christoph Funk; Ailan Guo; Imad Hanna; Krisztina Herédi-Szabó; Kate Hillgren; Libin Li; Evelyn Hollnack-Pusch; Masoud Jamei; Xuena Lin; Andrew K Mason; Sibylle Neuhoff; Aarti Patel; Lalitha Podila; Emile Plise; Ganesh Rajaraman; Laurent Salphati; Eric Sands; Mitchell E Taub; Jan-Shiang Taur; Dietmar Weitz; Heleen M Wortelboer; Cindy Q Xia; Guangqing Xiao; Jocelyn Yabut; Tetsuo Yamagata; Lei Zhang; Harma Ellens
Journal:  Drug Metab Dispos       Date:  2013-04-25       Impact factor: 3.922

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5.  Physiologically based pharmacokinetic modelling and in vivo [I]/K(i) accurately predict P-glycoprotein-mediated drug-drug interactions with dabigatran etexilate.

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6.  Case Study 8: Status of the Structural Mass Action Kinetic Model of P-gp-Mediated Transport Through Confluent Cell Monolayers.

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7.  Intestinal Efflux Transporters P-gp and BCRP Are Not Clinically Relevant in Apixaban Disposition.

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8.  A novel application of t-statistics to objectively assess the quality of IC50 fits for P-glycoprotein and other transporters.

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Review 9.  Recent advances in understanding hepatic drug transport.

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10.  Evaluation of P-Glycoprotein Inhibitory Potential Using a Rhodamine 123 Accumulation Assay.

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