Evidence map›Paper›PMID 32545386›Full record

ReviewMolecules (Basel, Switzerland)2020

Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS)-Based Proteomics of Drug-Metabolizing Enzymes and Transporters.

Jiapeng Li, Hao-Jie Zhu

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.0field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Surfactin: a novelFrontiers in microbiology · 2025
    Article
  6. Characteristics of soybean (Iranian journal of basic medical sciences · 2025
    Article
  7. Review
  8. Article
  9. Proteomic analysis of jugular venous blood in acute large vessel occlusion stroke with futile recanalization.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  10. Ubiquitous protein lactylation in health and diseases.Cellular & molecular biology letters · 2024
    Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Jiapeng LiDepartment of Clinical Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA.
Hao-Jie ZhuDepartment of Clinical Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA.
University of Michigan–Ann Arbor · US

Funding

Carboxylesterase 1 Genetic Variation and Methylphenidate in ADHDR01HD093612 · NICHD · UNIVERSITY OF FLORIDA · PI MARKOWITZ, JOHN S, ZHU, HAOJIE · 2018 to 2022
$3.0M
Genetic determinants of ACEI prodrug activationR01HL126969 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHU, HAOJIE · 2016 to 2020
$1.9M
NHLBI NIH HHS R01 HL126969NIH HHS R01HD093612NIH HHS R01HL126969
6 · The paper itself

Abstract

Liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based proteomics is a powerful tool for identifying and quantifying proteins in biological samples, outperforming conventional antibody-based methods in many aspects. LC-MS/MS-based proteomics studies have revealed the protein abundances of many drug-metabolizing enzymes and transporters (DMETs) in tissues relevant to drug metabolism and disposition. Previous studies have consistently demonstrated marked interindividual variability in DMET protein expression, suggesting that varied DMET function is an important contributing factor for interindividual variability in pharmacokinetics (PK) and pharmacodynamics (PD) of medications. Moreover, differential DMET expression profiles were observed across different species and in vitro models. Therefore, caution must be exercised when extrapolating animal and in vitro DMET proteomics findings to humans. In recent years, DMET proteomics has been increasingly utilized for the development of physiologically based pharmacokinetic models, and DMET proteins have also been proposed as biomarkers for prediction of the PK and PD of the corresponding substrate drugs. In sum, despite the existence of many challenges in the analytical technology and data analysis methods of LC-MS/MS-based proteomics, DMET proteomics holds great potential to advance our understanding of PK behavior at the individual level and to optimize treatment regimens via the DMET protein biomarker-guided precision pharmacotherapy.

Indexed as

Inactivation, MetabolicAnimalsChromatography, LiquidEnzymesHumansMembrane Transport ProteinsProteomicsTandem Mass SpectrometryEnzymesMembrane Transport Proteinsdrug-metabolizing enzymesLC-MS/MSproteomicstransporters

Identifiers

PMID32545386
PMCPMC7321193
OpenAlexW3034645126

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.