Literature DB >> 28927987

Industry Perspective on Contemporary Protein-Binding Methodologies: Considerations for Regulatory Drug-Drug Interaction and Related Guidelines on Highly Bound Drugs.

Li Di1, Christopher Breen2, Rob Chambers3, Sean T Eckley4, Robert Fricke5, Avijit Ghosh6, Paul Harradine7, J Cory Kalvass8, Stacy Ho9, Caroline A Lee10, Punit Marathe11, Everett J Perkins12, Mark Qian13, Susanna Tse14, Zhengyin Yan15, Maciej J Zamek-Gliszczynski16.   

Abstract

Regulatory agencies have recently issued drug-drug interaction guidelines, which require determination of plasma protein binding (PPB). To err on the conservative side, the agencies recommend that a 0.01 lower limit of fraction unbound (fu) be used for highly bound compounds (>99%), irrespective of the actual measured values. While this may avoid false negatives, the recommendation would likely result in a high rate of false positive predictions, resulting in unnecessary clinical studies and more stringent inclusion/exclusion criteria, which may add cost and time in delivery of new medicines to patients. In this perspective, we provide a review of current approaches to measure PPB, and important determinants in enabling the accuracy and precision in these measurements. The ability to measure fu is further illustrated by a cross-company data comparison of PPB for warfarin and itraconazole, demonstrating good concordance of the measured fu values. The data indicate that fu values of ≤0.01 may be determined accurately across laboratories when appropriate methods are used. These data, along with numerous other examples presented in the literature, support the use of experimentally measured fu values for drug-drug interaction predictions, rather than using the arbitrary cutoff value of 0.01 as recommended in current regulatory guidelines.
Copyright © 2017 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  drug-drug interaction; fraction unbound; plasma protein binding

Mesh:

Substances:

Year:  2017        PMID: 28927987     DOI: 10.1016/j.xphs.2017.09.005

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  15 in total

Review 1.  Drug Concentration Asymmetry in Tissues and Plasma for Small Molecule-Related Therapeutic Modalities.

Authors:  Donglu Zhang; Cornelis E C A Hop; Gabriela Patilea-Vrana; Gautham Gampa; Herana Kamal Seneviratne; Jashvant D Unadkat; Jane R Kenny; Karthik Nagapudi; Li Di; Lian Zhou; Mark Zak; Matthew R Wright; Namandjé N Bumpus; Richard Zang; Xingrong Liu; Yurong Lai; S Cyrus Khojasteh
Journal:  Drug Metab Dispos       Date:  2019-07-02       Impact factor: 3.922

2.  The Presence of a Transporter-Induced Protein Binding Shift: A New Explanation for Protein-Facilitated Uptake and Improvement for In Vitro-In Vivo Extrapolation.

Authors:  Christine M Bowman; Hideaki Okochi; Leslie Z Benet
Journal:  Drug Metab Dispos       Date:  2019-01-23       Impact factor: 3.922

3.  Consideration of the Unbound Drug Concentration in Enzyme Kinetics.

Authors:  Nigel J Waters; R Scott Obach; Li Di
Journal:  Methods Mol Biol       Date:  2021

4.  Prediction of Tissue-Plasma Partition Coefficients Using Microsomal Partitioning: Incorporation into Physiologically based Pharmacokinetic Models and Steady-State Volume of Distribution Predictions.

Authors:  Kimberly Holt; Min Ye; Swati Nagar; Ken Korzekwa
Journal:  Drug Metab Dispos       Date:  2019-07-19       Impact factor: 3.922

5.  LipMetE (Lipophilic Metabolism Efficiency) as a Simple Guide for Half-Life and Dosing Regimen Prediction of Oral Drugs.

Authors:  Giuseppe Cecere; Laura Guasch; Andres M Olivares-Morales; Kenichi Umehara; Antonia F Stepan
Journal:  ACS Med Chem Lett       Date:  2022-08-23       Impact factor: 4.632

6.  How Science Is Driving Regulatory Guidances.

Authors:  Xinning Yang; Jianghong Fan; Lei Zhang
Journal:  Methods Mol Biol       Date:  2021

7.  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

8.  Methods to Predict Volume of Distribution.

Authors:  Kimberly Holt; Swati Nagar; Ken Korzekwa
Journal:  Curr Pharmacol Rep       Date:  2019-06-06

9.  Potent Antimalarials with Development Potential Identified by Structure-Guided Computational Optimization of a Pyrrole-Based Dihydroorotate Dehydrogenase Inhibitor Series.

Authors:  Michael J Palmer; Xiaoyi Deng; Shawn Watts; Goran Krilov; Aleksey Gerasyuto; Sreekanth Kokkonda; Farah El Mazouni; John White; Karen L White; Josefine Striepen; Jade Bath; Kyra A Schindler; Tomas Yeo; David M Shackleford; Sachel Mok; Ioanna Deni; Aloysus Lawong; Ann Huang; Gong Chen; Wen Wang; Jaya Jayaseelan; Kasiram Katneni; Rahul Patil; Jessica Saunders; Shatrughan P Shahi; Rajesh Chittimalla; Iñigo Angulo-Barturen; María Belén Jiménez-Díaz; Sergio Wittlin; Patrick K Tumwebaze; Philip J Rosenthal; Roland A Cooper; Anna Caroline Campos Aguiar; Rafael V C Guido; Dhelio B Pereira; Nimisha Mittal; Elizabeth A Winzeler; Diana R Tomchick; Benoît Laleu; Jeremy N Burrows; Pradipsinh K Rathod; David A Fidock; Susan A Charman; Margaret A Phillips
Journal:  J Med Chem       Date:  2021-04-20       Impact factor: 7.446

Review 10.  Interpretation of Drug Interaction Using Systemic and Local Tissue Exposure Changes.

Authors:  Young Hee Choi
Journal:  Pharmaceutics       Date:  2020-05-02       Impact factor: 6.321

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