Literature DB >> 27385179

Comparing Various In Vitro Prediction Criteria to Assess the Potential of a New Molecular Entity to Inhibit Organic Anion Transporting Polypeptide 1B1.

Jayabharathi Vaidyanathan1, Kenta Yoshida1,2, Vikram Arya1, Lei Zhang1.   

Abstract

Evaluation of organic anion transporting polypeptide (OATP) 1B1-mediated drug-drug interactions (DDIs) is an integral part of drug development and is recommended by regulatory agencies. In this study we compared various prediction methods and cutoff criteria based on in vitro inhibition data to assess the potential of a new molecular entity to inhibit OATP1B1 in vivo. In vitro (eg, IC50 , fu,p ) and in vivo (eg, dose, Cmax , change in area under the curve [AUC]) data for 11 substrates and 61 inhibitors for OATP1B1 were obtained from literature and Drugs@FDA, which include 107 clinical (in vivo) DDI studies. Substrate dependency and variability of IC50 values were noted. In addition to the ratio of unbound or total systemic concentration (Imax,u and Imax ) to IC50 , maximum unbound inhibitor concentration at the inlet to the liver (Iu,in,max ) was used for the estimation of "R value" where R = 1 + Iu,in,max /IC50 . Based on our analyses, Imax /Ki ≥ 0.1, R ≥ 1.04, or R ≥ 1.1 seem to be appropriate for reducing the false-negative (FN) predictions. However, as compared with R ≥ 1.1, Imax /Ki ≥ 0.1 and R ≥ 1.04 resulted in higher false positives (FPs) and lower true negatives (TNs). R ≥ 1.1, Imax,u /Ki ≥ 0.02, and R ≥ 1.25 alone, or combined criterion of Imax /Ki ≥ 0.1 and R ≥ 1.25, were reasonable to determine the need to perform clinical DDI studies with OATP1B1 substrates with similar positive and negative predictive values. Possible reasons of FP or FN from different decision criteria should be considered when interpreting prediction results, and the variability in IC50 determination needs to be understood and minimized.
© 2016, The American College of Clinical Pharmacology.

Entities:  

Keywords:  Clinical Pharmacology (CPH); Drug-Drug Interactions; Inhibition; Organic Anion Transporting Polypeptide (OATP); Pharmacokinetics and drug metabolism; Transporters

Mesh:

Substances:

Year:  2016        PMID: 27385179     DOI: 10.1002/jcph.723

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  22 in total

1.  In Vitro Evaluation of the Drug Interaction Potential of Doravirine.

Authors:  Kelly Bleasby; Kerry L Fillgrove; Robert Houle; Bing Lu; Jairam Palamanda; Deborah J Newton; Meihong Lin; Grace Hoyee Chan; Rosa I Sanchez
Journal:  Antimicrob Agents Chemother       Date:  2019-03-27       Impact factor: 5.191

2.  Preincubation With Everolimus and Sirolimus Reduces Organic Anion-Transporting Polypeptide (OATP)1B1- and 1B3-Mediated Transport Independently of mTOR Kinase Inhibition: Implication in Assessing OATP1B1- and OATP1B3-Mediated Drug-Drug Interactions.

Authors:  Taleah Farasyn; Alexandra Crowe; Oliver Hatley; Sibylle Neuhoff; Khondoker Alam; Jean Kanyo; TuKiet T Lam; Kai Ding; Wei Yue
Journal:  J Pharm Sci       Date:  2019-04-30       Impact factor: 3.534

3.  Clinical Investigation of Coproporphyrins as Sensitive Biomarkers to Predict Mild to Strong OATP1B-Mediated Drug-Drug Interactions.

Authors:  Annett Kunze; Emmanuel Njumbe Ediage; Lieve Dillen; Mario Monshouwer; Jan Snoeys
Journal:  Clin Pharmacokinet       Date:  2018-12       Impact factor: 6.447

4.  Pretreatment With Rifampicin and Tyrosine Kinase Inhibitor Dasatinib Potentiates the Inhibitory Effects Toward OATP1B1- and OATP1B3-Mediated Transport.

Authors:  Sonia Pahwa; Khondoker Alam; Alexandra Crowe; Taleah Farasyn; Sibylle Neuhoff; Oliver Hatley; Kai Ding; Wei Yue
Journal:  J Pharm Sci       Date:  2017-04-01       Impact factor: 3.534

5.  Is It Time to Use Modeling of Cellular Transporter Homeostasis to Inform Drug-Drug Interaction Studies: Theoretical Considerations.

Authors:  Roberto A Abbiati; M Guillaume Wientjes; Jessie L-S Au
Journal:  AAPS J       Date:  2021-08-25       Impact factor: 4.009

6.  In Vitro Assessment of Transporter Mediated Perpetrator DDIs for Several Hepatitis C Virus Direct-Acting Antiviral Drugs and Prediction of DDIs with Statins Using Static Models.

Authors:  Xiaoyan Chu; Grace Hoyee Chan; Robert Houle; Meihong Lin; Jocelyn Yabut; Christine Fandozzi
Journal:  AAPS J       Date:  2022-03-21       Impact factor: 4.009

7.  Estimation of the Effect of OAT2-Mediated Active Uptake on Meloxicam Exposure in the Human Liver.

Authors:  Rui Li; Sumathy Mathialagan; Jonathan J Novak; Heather Eng; Keith Riccardi; John Litchfield
Journal:  AAPS J       Date:  2020-01-03       Impact factor: 4.009

8.  Comparative Study of the Dose-Dependence of OATP1B Inhibition by Rifampicin Using Probe Drugs and Endogenous Substrates in Healthy Volunteers.

Authors:  Issey Takehara; Takashi Yoshikado; Keiko Ishigame; Daiki Mori; Ken-Ichi Furihata; Nobuaki Watanabe; Osamu Ando; Kazuya Maeda; Yuichi Sugiyama; Hiroyuki Kusuhara
Journal:  Pharm Res       Date:  2018-05-10       Impact factor: 4.200

9.  Quantitative Prediction of Interactions Mediated by Transporters and Cytochromes: Application to Organic Anion Transporting Polypeptides, Breast Cancer Resistance Protein and Cytochrome 2C8.

Authors:  Michel Tod; Laurent Bourguignon; Nathalie Bleyzac; Sylvain Goutelle
Journal:  Clin Pharmacokinet       Date:  2020-06       Impact factor: 6.447

10.  Assessing OATP1B1- and OATP1B3-Mediated Drug-Drug Interaction Potential of Vemurafenib Using R-Value and Physiologically-Based Pharmacokinetic Models.

Authors:  Ruhul Kayesh; Taleah Farasyn; Alexandra Crowe; Qiang Liu; Sonia Pahwa; Khondoker Alam; Sibylle Neuhoff; Oliver Hatley; Kai Ding; Wei Yue
Journal:  J Pharm Sci       Date:  2020-06-23       Impact factor: 3.534

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