Literature DB >> 26108733

Translational value of liquid chromatography coupled with tandem mass spectrometry-based quantitative proteomics for in vitro-in vivo extrapolation of drug metabolism and transport and considerations in selecting appropriate techniques.

Hajar Al Feteisi1, Brahim Achour, Amin Rostami-Hodjegan, Jill Barber.   

Abstract

INTRODUCTION: Drug-metabolizing enzymes and transporters play an important role in drug absorption, distribution, metabolism and excretion and, consequently, they influence drug efficacy and toxicity. Quantification of drug-metabolizing enzymes and transporters in various tissues is therefore essential for comprehensive elucidation of drug absorption, distribution, metabolism and excretion. Recent advances in liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) have improved the quantification of pharmacologically relevant proteins. AREAS COVERED: This report presents an overview of mass spectrometry-based methods currently used for the quantification of drug-metabolizing enzymes and drug transporters, mainly focusing on applications and cost associated with various quantitative strategies based on stable isotope-labeled standards (absolute quantification peptide standards, quantification concatemers, protein standards for absolute quantification) and label-free analysis. EXPERT OPINION: In mass spectrometry, there is no simple relationship between signal intensity and analyte concentration. Proteomic strategies are therefore complex and several factors need to be considered when selecting the most appropriate method for an intended application, including the number of proteins and samples. Quantitative strategies require appropriate mass spectrometry platforms, yet choice is often limited by the availability of appropriate instrumentation. Quantitative proteomics research requires specialist practical skills and there is a pressing need to dedicate more effort and investment to training personnel in this area. Large-scale multicenter collaborations are also needed to standardize quantitative strategies in order to improve physiologically based pharmacokinetic models.

Entities:  

Keywords:  drug transporters; drug-metabolizing enzymes; label-free strategies; quantitative proteomics; stable-isotope dilution strategies (AQUA/QconCAT/PSAQ)

Mesh:

Substances:

Year:  2015        PMID: 26108733     DOI: 10.1517/17425255.2015.1055245

Source DB:  PubMed          Journal:  Expert Opin Drug Metab Toxicol        ISSN: 1742-5255            Impact factor:   4.481


  12 in total

1.  Accounting for inter-correlation between enzyme abundance: a simulation study to assess implications on global sensitivity analysis within physiologically-based pharmacokinetics.

Authors:  Nicola Melillo; Adam S Darwich; Paolo Magni; Amin Rostami-Hodjegan
Journal:  J Pharmacokinet Pharmacodyn       Date:  2019-03-23       Impact factor: 2.745

Review 2.  Key to Opening Kidney for In Vitro-In Vivo Extrapolation Entrance in Health and Disease: Part I: In Vitro Systems and Physiological Data.

Authors:  Daniel Scotcher; Christopher Jones; Maria Posada; Amin Rostami-Hodjegan; Aleksandra Galetin
Journal:  AAPS J       Date:  2016-06-30       Impact factor: 4.009

3.  Drug Transporters in Xenobiotic Disposition and Pharmacokinetic Prediction.

Authors:  Qingcheng Mao; Yurong Lai; Joanne Wang
Journal:  Drug Metab Dispos       Date:  2018-05       Impact factor: 3.922

4.  Implications of intercorrelation between hepatic CYP3A4-CYP2C8 enzymes for the evaluation of drug-drug interactions: a case study with repaglinide.

Authors:  Kosuke Doki; Adam S Darwich; Brahim Achour; Aleksi Tornio; Janne T Backman; Amin Rostami-Hodjegan
Journal:  Br J Clin Pharmacol       Date:  2018-03-06       Impact factor: 4.335

Review 5.  Quantitative Proteomics in Translational Absorption, Distribution, Metabolism, and Excretion and Precision Medicine.

Authors:  Deepak Ahire; Laken Kruger; Sheena Sharma; Vijaya Saradhi Mettu; Abdul Basit; Bhagwat Prasad
Journal:  Pharmacol Rev       Date:  2022-07       Impact factor: 18.923

Review 6.  Key to Opening Kidney for In Vitro-In Vivo Extrapolation Entrance in Health and Disease: Part II: Mechanistic Models and In Vitro-In Vivo Extrapolation.

Authors:  Daniel Scotcher; Christopher Jones; Maria Posada; Aleksandra Galetin; Amin Rostami-Hodjegan
Journal:  AAPS J       Date:  2016-08-09       Impact factor: 4.009

7.  The Promises of Quantitative Proteomics in Precision Medicine.

Authors:  Bhagwat Prasad; Marc Vrana; Aanchal Mehrotra; Katherine Johnson; Deepak Kumar Bhatt
Journal:  J Pharm Sci       Date:  2016-12-08       Impact factor: 3.534

8.  Ultrasensitive Quantification of Drug-metabolizing Enzymes and Transporters in Small Sample Volume by Microflow LC-MS/MS.

Authors:  Deepak Suresh Ahire; Abdul Basit; Matthew Karasu; Bhagwat Prasad
Journal:  J Pharm Sci       Date:  2021-03-28       Impact factor: 3.784

9.  Database of Optimized Proteomic Quantitative Methods for Human Drug Disposition-Related Proteins for Applications in Physiologically Based Pharmacokinetic Modeling.

Authors:  M Vrana; D Whittington; V Nautiyal; B Prasad
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-04-04

Review 10.  Reverse Translation in PBPK and QSP: Going Backwards in Order to Go Forward With Confidence.

Authors:  Amin Rostami-Hodjegan
Journal:  Clin Pharmacol Ther       Date:  2017-11-09       Impact factor: 6.875

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