Evidence map›Paper›PMID 19136022›Full record

ArticleToxicology and applied pharmacology2009

Time-course comparison of xenobiotic activators of CAR and PPARalpha in mouse liver.

Pamela K Ross, Courtney G Woods, Blair U Bradford, Oksana Kosyk, Daniel M Gatti, Michael L Cunningham, Ivan Rusyn

Open access · greenAbstract readComparative Study
In one paragraph

Article in Toxicology and applied pharmacology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 25 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Pamela K RossDepartment of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, NC 27599-7431, USA.
Courtney G Woods
Blair U Bradford
Oksana Kosyk
Daniel M Gatti
Michael L Cunningham
Ivan Rusyn
University of North Carolina at Chapel Hill · USNational Institute of Environmental Health Sciences · USThe Hamner Institutes for Health Sciences · US

Funding

STOCHASTIC ANALYSIS OF FLOW AND TRANSPORT PHENOMENAP42ES005948 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRY, REBECCA · 1992 to 2017
$45.4M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Profiles of Sucsceptibility to Toxicant StressU19ES011391 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAUFMANN, WILLIAM K · 2001 to 2007
$8.4M
Bioengineering partnership to improve chemical hazard testing paradigmsR01ES015241 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUSYN, IVAN · 2008 to 2012
$3.1M
Molecular Mechanisms of Phthalate-induced CarcinogenesisR01ES012686 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUSYN, IVAN · 2004 to 2007
$1.1M
Intramural NIH HHSNIEHS NIH HHS ES10126NIEHS NIH HHS ES11391NIEHS NIH HHS ES12686NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P42 ES005948NIEHS NIH HHS R01 ES012686NIEHS NIH HHS R01 ES015241NIEHS NIH HHS U19 ES011391
6 · The paper itself

Abstract

Constitutive androstane receptor (CAR) and peroxisome proliferator activated receptor (PPAR)alpha are transcription factors known to be primary mediators of liver effects, including carcinogenesis, by phenobarbital-like compounds and peroxisome proliferators, respectively, in rodents. Many similarities exist in the phenotypes elicited by these two classes of agents in rodent liver, and we hypothesized that the initial transcriptional responses to the xenobiotic activators of CAR and PPARalpha will exhibit distinct patterns, but at later time-points these biological pathways will converge. In order to capture the global transcriptional changes that result from activation of these nuclear receptors over a time-course in the mouse liver, microarray technology was used. First, differences in basal expression of liver genes between C57Bl/6J wild-type and Car-null mice were examined and 14 significantly differentially expressed genes were identified. Next, mice were treated with phenobarbital (100 mg/kg by gavage for 24 h, or 0.085% w/w diet for 7 or 28 days), and liver gene expression changes with regards to both time and treatment were identified. While several pathways related to cellular proliferation and metabolism were affected by phenobarbital in wild-type mice, no significant changes in gene expression were found over time in the Car-nulls. Next, we determined commonalities and differences in the temporal response to phenobarbital and WY-14,643, a prototypical activator of PPAR alpha. Gene expression signatures from livers of wild-type mice C57Bl6/J mice treated with PB or WY-14,643 were compared. Similar pathways were affected by both compounds; however, considerable time-related differences were present. This study establishes common gene expression fingerprints of exposure to activators of CAR and PPARalpha in rodent liver and demonstrates that despite similar phenotypic changes, molecular pathways differ between classes of chemical carcinogens.

Indexed as

AnimalsAzo CompoundsBiotransformationBlood Chemical AnalysisCarcinogensConstitutive Androstane ReceptorDNA, ComplementaryHypnotics and SedativesImmunohistochemistryLiverMaleMiceMice, Inbred C57BLMice, KnockoutOligonucleotide Array Sequence AnalysisPhenobarbitalAzo CompoundsCarcinogensConstitutive Androstane ReceptorDNA, ComplementaryHypnotics and Sedativesoil red OPhenobarbitalpirinixic acidPPAR alphaProliferating Cell Nuclear AntigenPyrimidinesReceptors, Cytoplasmic and NuclearRNATranscription FactorsXenobiotics

Identifiers

PMID19136022
PMCPMC2654411
OpenAlexW2070373549

What OpenQuestion holds

Textmetadata
LicenceTDM
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.