Evidence map›Paper›PMID 21845099›Full record

ArticleInternational journal of molecular sciences2011

Identification and categorization of liver toxicity markers induced by a related pair of drugs.

Ching-Wei Chang, Frederick A Beland, Wade M Hines, James C Fuscoe, Tao Han, James J Chen

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

6 authors at 2 institutions in 1 country.

Ching-Wei ChangDivision of Personalized Nutrition and Medicine, National Center for Toxicological Research, FDA, Jefferson, AR 72079, USA; E-Mail: ching-wei.chang@fda.hhs.gov.
Frederick A Beland
Wade M Hines
James C Fuscoe
Tao Han
James J Chen
National Center for Toxicological Research · USBG Medicine (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-induced liver injury (DILI) is the primary adverse event that results in the withdrawal of drugs from the market and a frequent reason for the failure of drug candidates in the pre-clinical or clinical phases of drug development. This paper presents an approach for identifying potential liver toxicity genomic biomarkers from a liver toxicity biomarker study involving the paired compounds entacapone ("non-liver toxic drug") and tolcapone ("hepatotoxic drug"). Molecular analysis of the rat liver and plasma samples, combined with statistical analysis, revealed many similarities and differences between the in vivo biochemical effects of the two drugs. Six hundred and ninety-five genes and 61 pathways were selected based on the classification scheme. Of the 61 pathways, 5 were specific to treatment with tolcapone. Two of the 12 animals in the tolcapone group were found to have high ALT, AST, or TBIL levels. The gene Vars2 (valyl-tRNA synthetase 2) was identified in both animals and the pathway to which it belongs, the aminoacyl-tRNA biosynthesis pathway, was one of the three most significant tolcapone-specific pathways identified.

Indexed as

Alanine TransaminaseAnimalsAspartate AminotransferasesBenzophenonesBilirubinBiomarkersCatecholsChemical and Drug Induced Liver InjuryGene Regulatory NetworksLiverMaleNitrilesNitrophenolsRatsRNA, Transfer, Amino AcylTolcaponeAlanine TransaminaseAspartate AminotransferasesBenzophenonesBilirubinBiomarkersCatecholsentacaponeNitrilesNitrophenolsRNA, Transfer, Amino AcylTolcaponebiomarkerentacaponegenomicliver toxicitypersonalized medicinepopulation heterogeneitytolcapone

Identifiers

PMID21845099
PMCPMC3155372
OpenAlexW2086225606

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.