Literature DB >> 28767254

Variability in Mass Spectrometry-based Quantification of Clinically Relevant Drug Transporters and Drug Metabolizing Enzymes.

Christine Wegler1,2, Fabienne Z Gaugaz1, Tommy B Andersson2, Jacek R Wiśniewski3, Diana Busch4, Christian Gröer4, Stefan Oswald4, Agneta Norén5, Frederik Weiss6, Helen S Hammer6, Thomas O Joos6, Oliver Poetz6, Brahim Achour7, Amin Rostami-Hodjegan7, Evita van de Steeg8, Heleen M Wortelboer8, Per Artursson1.   

Abstract

Many different methods are used for mass-spectrometry-based protein quantification in pharmacokinetics and systems pharmacology. It has not been established to what extent the results from these various methods are comparable. Here, we compared six different mass spectrometry-based proteomics methods by measuring the expression of clinically relevant drug transporters and metabolizing enzymes in human liver. Mean protein concentrations were in general quantified to similar levels by methods using whole tissue lysates. Methods using subcellular membrane fractionation gave incomplete enrichment of the proteins. When the enriched proteins were adjusted to levels in whole tissue lysates, they were on average 4-fold lower than those quantified directly in whole tissue lysates. The differences in protein levels were propagated into differences in predictions of hepatic clearance. In conclusion, caution is needed when comparing and applying quantitative proteomics data obtained with different methods, especially since membrane fractionation is common practice for protein quantification used in drug clearance predictions.

Entities:  

Keywords:  drug metabolizing enzymes; drug transporters; label-free proteomics; membrane proteins; protein quantification; targeted proteomics

Mesh:

Substances:

Year:  2017        PMID: 28767254     DOI: 10.1021/acs.molpharmaceut.7b00364

Source DB:  PubMed          Journal:  Mol Pharm        ISSN: 1543-8384            Impact factor:   4.939


  31 in total

1.  Toward a Consensus on Applying Quantitative Liquid Chromatography-Tandem Mass Spectrometry Proteomics in Translational Pharmacology Research: A White Paper.

Authors:  Bhagwat Prasad; Brahim Achour; Per Artursson; Cornelis E C A Hop; Yurong Lai; Philip C Smith; Jill Barber; Jacek R Wisniewski; Daniel Spellman; Yasuo Uchida; Michael A Zientek; Jashvant D Unadkat; Amin Rostami-Hodjegan
Journal:  Clin Pharmacol Ther       Date:  2019-07-26       Impact factor: 6.875

2.  Parameterization of Microsomal and Cytosolic Scaling Factors: Methodological and Biological Considerations for Scalar Derivation and Validation.

Authors:  Michael J Doerksen; Robert S Jones; Michael W H Coughtrie; Abby C Collier
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2020-12-19       Impact factor: 2.441

3.  P-Glycoprotein Inhibition Exacerbates Paclitaxel Neurotoxicity in Neurons and Patients With Cancer.

Authors:  Tore B Stage; Christina Mortensen; Sehbar Khalaf; Vivien Steffensen; Helen S Hammer; Chenling Xiong; Flemming Nielsen; Oliver Poetz; Åsa Fex Svenningsen; Cristina Rodriguez-Antona; Deanna L Kroetz
Journal:  Clin Pharmacol Ther       Date:  2020-05-23       Impact factor: 6.875

4.  Pharmacoproteomics Profile in Response to Acamprosate Treatment of an Alcoholism Animal Model.

Authors:  Caroline E Germany; Ashlie N Reker; David J Hinton; Alfredo Oliveros; Xinggui Shen; Lindsey G Andres-Beck; Katheryn M Wininger; Marjan Trutschl; Urska Cvek; Doo-Sup Choi; Hyung W Nam
Journal:  Proteomics       Date:  2018-04       Impact factor: 3.984

5.  The study of ultrasound and iontophoresis on oxaprozin transdermal penetration using surface-enhanced Raman spectroscopy.

Authors:  Shupeng Liu; Xiang Bao; Songpo Zhang; Heng Zhang; Xiaofeng Lu; Taihao Li; Zhenyi Chen; Na Chen
Journal:  Drug Deliv Transl Res       Date:  2020-02       Impact factor: 4.617

6.  Advancing Predictions of Tissue and Intracellular Drug Concentrations Using In Vitro, Imaging and Physiologically Based Pharmacokinetic Modeling Approaches.

Authors:  Yingying Guo; Xiaoyan Chu; Neil J Parrott; Kim L R Brouwer; Vicky Hsu; Swati Nagar; Pär Matsson; Pradeep Sharma; Jan Snoeys; Yuichi Sugiyama; Daniel Tatosian; Jashvant D Unadkat; Shiew-Mei Huang; Aleksandra Galetin
Journal:  Clin Pharmacol Ther       Date:  2018-09-12       Impact factor: 6.875

Review 7.  Data-independent acquisition (DIA): An emerging proteomics technology for analysis of drug-metabolizing enzymes and transporters.

Authors:  Jiapeng Li; Logan S Smith; Hao-Jie Zhu
Journal:  Drug Discov Today Technol       Date:  2021-07-09

Review 8.  The Ontogeny of UDP-glucuronosyltransferase Enzymes, Recommendations for Future Profiling Studies and Application Through Physiologically Based Pharmacokinetic Modelling.

Authors:  Justine Badée; Stephen Fowler; Saskia N de Wildt; Abby C Collier; Stephan Schmidt; Neil Parrott
Journal:  Clin Pharmacokinet       Date:  2019-02       Impact factor: 6.447

9.  Protein Expression and Functional Relevance of Efflux and Uptake Drug Transporters at the Blood-Brain Barrier of Human Brain and Glioblastoma.

Authors:  Xun Bao; Jianmei Wu; Youming Xie; Seongho Kim; Sharon Michelhaugh; Jun Jiang; Sandeep Mittal; Nader Sanai; Jing Li
Journal:  Clin Pharmacol Ther       Date:  2019-12-10       Impact factor: 6.875

10.  Targeted LC-MS/MS Proteomics-Based Strategy To Characterize in Vitro Models Used in Drug Metabolism and Transport Studies.

Authors:  Meijuan Xu; Neha Saxena; Marc Vrana; Haeyoung Zhang; Vineet Kumar; Sarah Billington; Cyrus Khojasteh; Scott Heyward; Jashvant D Unadkat; Bhagwat Prasad
Journal:  Anal Chem       Date:  2018-09-28       Impact factor: 6.986

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