Evidence map›Paper›PMID 29610054›Full record

ArticleDrug metabolism and pharmacokinetics2018

Comparison of protein expression between human livers and the hepatic cell lines HepG2, Hep3B, and Huh7 using SWATH and MRM-HR proteomics: Focusing on drug-metabolizing enzymes.

Jian Shi, Xinwen Wang, Lingyun Lyu, Hui Jiang, Hao-Jie Zhu

Abstract readComparative Study
In one paragraph

Article in Drug metabolism and pharmacokinetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
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

38 citing papers in PubMed.

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  15. Long-term cell fate and functional maintenance of human hepatocyte through stepwise culture configuration.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2023
    Article
  16. Article
  17. Coordination of AMPK and YAP byInternational journal of molecular sciences · 2022
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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

5 authors.

Jian ShiDepartment of Clinical Pharmacy, University of Michigan, Ann Arbor, MI 48109, United States.
Xinwen WangDepartment of Clinical Pharmacy, University of Michigan, Ann Arbor, MI 48109, United States.
Lingyun LyuDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15213, United States.
Hui JiangDepartment of Biostatistics, University of Michigan, Ann Arbor, MI 48109, United States.
Hao-Jie ZhuDepartment of Clinical Pharmacy, University of Michigan, Ann Arbor, MI 48109, United States. Electronic address: hjzhu@med.umich.edu.

Funding

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 HL126969
6 · The paper itself

Abstract

Human hepatic cell lines are widely used as an in vitro model for the study of drug metabolism and liver toxicity. However, the validity of this model is still a subject of debate because the expressions of various proteins in the cell lines, including drug-metabolizing enzymes (DMEs), can differ significantly from those in human livers. In the present study, we first conducted an untargeted proteomics analysis of the microsomes of the cell lines HepG2, Hep3B, and Huh7, and compared them to human livers using a sequential window acquisition of all theoretical mass spectra (SWATH) method. Furthermore, high-resolution multiple reaction monitoring (MRM-HR), a targeted proteomic approach, was utilized to compare the expressions of pre-selected DMEs between human livers and the cell lines. In general, the SWATH quantifications were in good agreement with the MRM-HR analysis. Over 3000 protein groups were quantified in the cells and human livers, and the proteome profiles of human livers significantly differed from the cell lines. Among the 101 DMEs quantified with MRM-HR, most were expressed at substantially lower levels in the cell lines. Thus, appropriate caution must be exercised when using these cell lines for the study of hepatic drug metabolism and toxicity.

Indexed as

ProteomicsComputational BiologyHumansLiver NeoplasmsMass SpectrometryNeoplasm ProteinsTumor Cells, CulturedNeoplasm ProteinsDrug-metabolizing enzymesHep3BHepG2Huh7Human liversMRM-HRSWATH

Identifiers

PMID29610054
PMCPMC6309175

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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.