Evidence map›Paper›PMID 24658151›Full record

ArticlePloS one2014

Multifactorial comparative proteomic study of cytochrome P450 2E1 function in chronic alcohol administration.

Yuan Wang, Yan Kou, Xiaodong Wang, Arthur Cederbaum, Rong Wang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Role of Nrf2 in chronic liver disease.World journal of gastroenterology · 2014
    Review
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 at 1 institution in 1 country.

Yuan WangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Yan KouDepartment of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Xiaodong WangDepartment of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Arthur CederbaumDepartment of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Rong WangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Icahn School of Medicine at Mount Sinai · US

Funding

THE NINDS MASS SPECTROMETRY PROTEOMICS CENTER FOR NEUROSCIENCES AT MSSMP30NS061777 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WANG, RONG · 2009 to 2014
$3.9M
Alcohol-Induced Fatty Liver and Injury in Humanized CYP2E1 Knockin Mice.R01AA018790 · NIAAA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CEDERBAUM, ARTHUR I · 2009 to 2011
$1.1M
Role of autophagy on the modulation of CYP2E1 alcohol liver toxicityR21AA021362 · NIAAA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CEDERBAUM, ARTHUR I · 2012 to 2013
$431k
PROTEOMEX LTQ WORKSTATION SHARED INSTRUMENTATION: PROTEOMICSS10RR022415 · NCRR · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WANG, RONG · 2006 to 2006
$424k
NCRR NIH HHS S10 RR022415NIAAA NIH HHS R01 AA018790NIAAA NIH HHS R21 AA021362NINDS NIH HHS P30 NS061777
6 · The paper itself

Abstract

With the use of iTRAQ technique, a multifactorial comparative proteomic study can be performed. In this study, to obtain an overview of ethanol, CYP2E1 and gender effects on liver injury and gain more insight into the underlying molecular mechanism, mouse liver proteomes were quantitatively analyzed using iTRAQ under eight conditions including mice of different genders, wild type versus CYP2E1 knockout, and normal versus alcohol diet. A series of statistical and bioinformatic analyses were explored to simplify and clarify multifactorial comparative proteomic data. First, with the Principle Component analysis, six proteins, CYP2E1, FAM25, CA3, BHMT, HIBADH and ECHS1, involved in oxidation reduction, energy and lipid metabolism and amino acid metabolism, were identified as the most differentially expressed gene products across all of the experimental conditions of our chronic alcoholism model. Second, hierarchical clustering analysis showed CYP2E1 knockout played a primary role in the overall differential protein expression compared with ethanol and gender factors. Furthermore, pair-wise multiple comparisons have revealed that the only significant expression difference lied in wild-type and CYP2E1 knockout mice both treated with ethanol. Third, K-mean clustering analysis indicated that the CYP2E1 knockout had the reverse effect on ethanol induced oxidative stress and lipid oxidation. More importantly, IPA analysis of proteomic data inferred that the gene expressions of two upstream regulators, NRF2 and PPARα, regulated by chronic alcohol feeding and CYP2E1 knockout, are involved in ethanol induced oxidative stress and lipid oxidation. The present study provides an effectively comprehensive data analysis strategy to compare multiple biological factors, contributing to biochemical effects of alcohol on the liver. The mass spectrometry proteomics data have been deposited to the ProteomeXchange with data set identifier of PXD000635.

Indexed as

ProteomicsAlcoholismAnimalsCytochrome P-450 CYP2E1EthanolFemaleLipid MetabolismLiverMaleMice, KnockoutNF-E2-Related Factor 2Oxidation-ReductionOxidative StressPPAR alphaPrincipal Component AnalysisCytochrome P-450 CYP2E1EthanolNfe2l2 protein, mouseNF-E2-Related Factor 2PPAR alpha

Identifiers

PMID24658151
PMCPMC3962406
OpenAlexW2067013304

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.