Evidence map›Paper›PMID 17450226›Full record

ArticleEnvironmental health perspectives2007

Identification of genes implicated in methapyrilene-induced hepatotoxicity by comparing differential gene expression in target and nontarget tissue.

J Todd Auman, Jeff Chou, Kevin Gerrish, Qihong Huang, Supriya Jayadev, Kerry Blanchard, Richard S Paules

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Connexin-based signaling and drug-induced hepatotoxicity.Journal of clinical and translational research · 2017
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Toxicogenomic biomarkers for liver toxicity.Journal of toxicologic pathology · 2009
    Article
  10. 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

7 authors at 2 institutions in 2 countries.

J Todd AumanNational Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC 27709, USA.
Jeff Chou
Kevin Gerrish
Qihong Huang
Supriya Jayadev
Kerry Blanchard
Richard S Paules
National Institutes of Health · USBoehringer Ingelheim (Germany) · DE

Funding

Appl Of Microarray Tech To Understanding The Mechanism Of Environmental AgentsZIAES023026 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI PAULES, RICHARD · 2009 to 2013
$1.6M
Microarray Tech / Understanding Environmental AgentsZ01ES023026 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI PAULES, RICHARD S · 1999 to 2008
$688k
Intramural NIH HHS
6 · The paper itself

Abstract

backgroundToxicogenomics experiments often reveal thousands of transcript alterations that are related to multiple processes, making it difficult to identify key gene changes that are related to the toxicity of interest.

objectivesThe objective of this study was to compare gene expression changes in a nontarget tissue to the target tissue for toxicity to help identify toxicity-related genes.

methodsMale rats were given the hepatotoxicant methapyrilene at two dose levels, with livers and kidneys removed 24 hr after one, three, and seven doses for gene expression analysis. To identify gene changes likely to be related to toxicity, we analyzed genes on the basis of their temporal pattern of change using a program developed at the National Institute of Environmental Health Sciences, termed "EPIG" (extracting gene expression patterns and identifying co-expressed genes).

resultsHigh-dose methapyrilene elicited hepatic damage that increased in severity with the number of doses, whereas no treatment-related lesions were observed in the kidney. High-dose methapyrilene elicited thousands of gene changes in the liver at each time point, whereas many fewer gene changes were observed in the kidney. EPIG analysis identified patterns of gene expression correlated to the observed toxicity, including genes associated with endoplasmic reticulum stress and the unfolded protein response.

conclusionsBy factoring in dose level, number of doses, and tissue into the analysis of gene expression elicited by methapyrilene, we were able to identify genes likely to not be implicated in toxicity, thereby allowing us to focus on a subset of genes to identify toxicity-related processes.

Indexed as

Gene Expression ProfilingAnimalsDose-Response Relationship, DrugHistamine H1 AntagonistsKidneyLiverMaleMethapyrileneRatsRats, Sprague-DawleyUp-RegulationHistamine H1 AntagonistsMethapyrilene

Identifiers

PMID17450226
PMCPMC1852695
OpenAlexW1998759518

What OpenQuestion holds

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Registered trials

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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.