Literature DB >> 27939376

The Promises of Quantitative Proteomics in Precision Medicine.

Bhagwat Prasad1, Marc Vrana2, Aanchal Mehrotra2, Katherine Johnson2, Deepak Kumar Bhatt2.   

Abstract

Precision medicine approach has a potential to ensure optimum efficacy and safety of drugs at individual patient level. Physiologically based pharmacokinetic and pharmacodynamic (PBPK/PD) models could play a significant role in precision medicine by predicting interindividual variability in drug disposition and response. In order to develop robust PBPK/PD models, it is imperative that the critical physiological parameters affecting drug disposition and response and their variability are precisely characterized. Currently used PBPK/PD modeling software, for example, Simcyp and Gastroplus, encompass information such as organ volumes, blood flows to organs, body fat composition, glomerular filtration rate, etc. However, the information on the interindividual variability of the majority of the proteins associated with PK and PD, for example, drug metabolizing enzymes, transporters, and receptors, are not fully incorporated into these PBPK modeling platforms. Such information is significant because the population factors such as age, genotype, disease, and gender can affect abundance or activity of these proteins. To fill this critical knowledge gap, mass spectrometry-based quantitative proteomics has emerged as an important technique to characterize interindividual variability in the protein abundance of drug metabolizing enzymes, transporters, and receptors. Integration of these quantitative proteomics data into in silico PBPK/PD modeling tools will be crucial toward precision medicine.
Copyright © 2017 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  drug metabolizing enzymes; individualized drug therapy; pharmacokinetic/pharmacodynamic models; physiologically based pharmacokinetic modeling; population pharmacokinetics/pharmacodynamics; proteomics; transporters

Mesh:

Substances:

Year:  2016        PMID: 27939376      PMCID: PMC5313344          DOI: 10.1016/j.xphs.2016.11.017

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


  102 in total

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Review 2.  Drug disposition alterations in liver disease: extrahepatic effects in cholestasis and nonalcoholic steatohepatitis.

Authors:  Mark J Canet; Nathan J Cherrington
Journal:  Expert Opin Drug Metab Toxicol       Date:  2014-07-03       Impact factor: 4.481

3.  Multisite kinetic models for CYP3A4: simultaneous activation and inhibition of diazepam and testosterone metabolism.

Authors:  K E Kenworthy; S E Clarke; J Andrews; J B Houston
Journal:  Drug Metab Dispos       Date:  2001-12       Impact factor: 3.922

Review 4.  MicroRNAs as regulators of drug transporters, drug-metabolizing enzymes, and tight junctions: implication for intestinal barrier function.

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5.  MicroRNA expression is differentially altered by xenobiotic drugs in different human cell lines.

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6.  Pharmacokinetics of midazolam following intravenous and oral administration in patients with chronic liver disease and in healthy subjects.

Authors:  P J Pentikäinen; L Välisalmi; J J Himberg; C Crevoisier
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7.  Quantitative Targeted Absolute Proteomics for 28 Transporters in Brush-Border and Basolateral Membrane Fractions of Rat Kidney.

Authors:  Yasuo Uchida; Takafumi Toyohara; Sumio Ohtsuki; Yoshinori Moriyama; Takaaki Abe; Tetsuya Terasaki
Journal:  J Pharm Sci       Date:  2016-01-11       Impact factor: 3.534

8.  A PBPK Model to Predict Disposition of CYP3A-Metabolized Drugs in Pregnant Women: Verification and Discerning the Site of CYP3A Induction.

Authors:  A B Ke; S C Nallani; P Zhao; A Rostami-Hodjegan; J D Unadkat
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2012-09-26

9.  Human equilibrative nucleoside transporter 1 and Notch3 can predict gemcitabine effects in patients with unresectable pancreatic cancer.

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Review 10.  Proteomics in epigenetics: new perspectives for cancer research.

Authors:  Till Bartke; Julie Borgel; Peter A DiMaggio
Journal:  Brief Funct Genomics       Date:  2013-02-11       Impact factor: 4.241

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  14 in total

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Journal:  Res Vet Sci       Date:  2018-11-12       Impact factor: 2.534

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

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Journal:  Clin Pharmacol Ther       Date:  2019-07-26       Impact factor: 6.875

Review 3.  Critical Issues and Optimized Practices in Quantification of Protein Abundance Level to Determine Interindividual Variability in DMET Proteins by LC-MS/MS Proteomics.

Authors:  Deepak Kumar Bhatt; Bhagwat Prasad
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Review 4.  Quantitative Proteomics in Translational Absorption, Distribution, Metabolism, and Excretion and Precision Medicine.

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5.  Age- and Genotype-Dependent Variability in the Protein Abundance and Activity of Six Major Uridine Diphosphate-Glucuronosyltransferases in Human Liver.

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Journal:  Clin Pharmacol Ther       Date:  2018-07-12       Impact factor: 6.875

6.  Furmonertinib (Alflutinib, AST2818) is a potential positive control drug comparable to rifampin for evaluation of CYP3A4 induction in sandwich-cultured primary human hepatocytes.

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7.  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

8.  A repository of protein abundance data of drug metabolizing enzymes and transporters for applications in physiologically based pharmacokinetic (PBPK) modelling and simulation.

Authors:  Mayur K Ladumor; Aarzoo Thakur; Sheena Sharma; Aravind Rachapally; Sarang Mishra; Priyanka Bobe; V Kameswara Rao; Praneetha Pammi; Hari Kangne; David Levi; Ankit Balhara; Sriram Ghandikota; Anupama Joshi; Vivek Nautiyal; Bhagwat Prasad; Saranjit Singh
Journal:  Sci Rep       Date:  2019-07-04       Impact factor: 4.379

9.  Hepatic Transporter Alterations by Nuclear Receptor Agonist T0901317 in Sandwich-Cultured Human Hepatocytes: Proteomic Analysis and PBPK Modeling to Evaluate Drug-Drug Interaction Risk.

Authors:  Katsuaki Ito; Noora Sjöstedt; Melina M Malinen; Cen Guo; Kim L R Brouwer
Journal:  J Pharmacol Exp Ther       Date:  2020-03-03       Impact factor: 4.030

10.  Pharmacogenomic Testing to Guide Personalized Cancer Medicine Decisions in Private Oncology Practice: A Case Study.

Authors:  George Astras; Christos I Papagiannopoulos; Konstantinos A Kyritsis; Constantina Markitani; Ioannis S Vizirianakis
Journal:  Front Oncol       Date:  2020-04-28       Impact factor: 6.244

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