Evidence map›Paper›PMID 28436314›Full record

ReviewCritical reviews in toxicology2017

Metabolomic approaches in the discovery of potential urinary biomarkers of drug-induced liver injury (DILI).

Ana Margarida Araújo, Márcia Carvalho, Félix Carvalho, Maria de Lourdes Bastos, Paula Guedes de Pinho

Erratum issuedAbstract readReview
PubMed Publisher
In one paragraph

Review in Critical reviews in toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 25 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Observational
  5. Genome-Scale Model-Based Identification of Metabolite Indicators for Early Detection of Kidney Toxicity.Toxicological sciences : an official journal of the Society of Toxicology · 2020
    Article
  6. Review
  7. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Ana Margarida Araújoa UCIBIO, REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy , University of Porto , Porto , Portugal.
Márcia Carvalhoa UCIBIO, REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy , University of Porto , Porto , Portugal.
Félix Carvalhoa UCIBIO, REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy , University of Porto , Porto , Portugal.
Maria de Lourdes Bastosa UCIBIO, REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy , University of Porto , Porto , Portugal.
Paula Guedes de Pinhoa UCIBIO, REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy , University of Porto , Porto , Portugal.
Universidade do Porto · PTRede de Química e Tecnologia · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-induced liver injury (DILI) is a major safety issue during drug development, as well as the most common cause for the withdrawal of drugs from the pharmaceutical market. The identification of DILI biomarkers is a labor-intensive area. Conventional biomarkers are not specific and often only appear at significant levels when liver damage is substantial. Therefore, new biomarkers for early identification of hepatotoxicity during the drug discovery process are needed, thus resulting in lower development costs and safer drugs. In this sense, metabolomics has been increasingly playing an important role in the discovery of biomarkers of liver damage, although the characterization of the mechanisms of toxicity induced by xenobiotics remains a huge challenge. These new-generation biomarkers will offer obvious benefits for the pharmaceutical industry, regulatory agencies, as well as a personalized clinical follow-up of patients, upon validation and translation into clinical practice or approval for routine use. This review describes the current status of the metabolomics applied to the early diagnosis and prognosis of DILI and in the discovery of new potential urinary biomarkers of liver injury.

Indexed as

BiomarkersChemical and Drug Induced Liver InjuryHumansPrognosisXenobioticsBiomarkersXenobioticsconventional biomarkersDrug-induced liver injuryhepatotoxicitymetabolomicsurinary biomarkers

Identifiers

PMID28436314
OpenAlexW2609452697

What OpenQuestion holds

Textmetadata
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.