Evidence map›Paper›PMID 35736496›Full record

ReviewMetabolites2022

The Potential Role of Metabolomics in Drug-Induced Liver Injury (DILI) Assessment.

Marta Moreno-Torres, Guillermo Quintás, José V Castell

Open access · goldAbstract readReview
In one paragraph

Review in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Naunyn-Schmiedeberg's archives of pharmacology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Drug-Induced Liver Injury-Pharmacological Spectrum Among Children.International journal of molecular sciences · 2025
    Review
  14. Article
  15. Article
  16. Review
  17. Observational
  18. Review
  19. Review
  20. 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

3 authors at 3 institutions in 1 country.

Marta Moreno-TorresUnidad de Hepatología Experimental, Instituto de Investigación Sanitaria Hospital La Fe, 46026 Valencia, Spain.ORCID 0000-0001-6684-8731
Guillermo QuintásUnidad Analítica, Instituto de Investigación Sanitaria Hospital La Fe, 46026 Valencia, Spain.ORCID 0000-0002-4240-9846
José V CastellUnidad de Hepatología Experimental, Instituto de Investigación Sanitaria Hospital La Fe, 46026 Valencia, Spain.ORCID 0000-0003-1179-6430
Instituto de Salud Carlos III · ESLeitat Technological Center · ESUniversitat de València · ES

Funding

European Consortium 681002European Project HeCaTos FP7-HEALTH-2013-INNOVATION-1Ministerio de Ciencia e Innovación IJC2018-036209-I
6 · The paper itself

Abstract

Drug-induced liver injury (DILI) is one of the most frequent adverse clinical reactions and a relevant cause of morbidity and mortality. Hepatotoxicity is among the major reasons for drug withdrawal during post-market and late development stages, representing a major concern to the pharmaceutical industry. The current biochemical parameters for the detection of DILI are based on enzymes (alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transpeptidase (GGT), alkaline phosphatase (ALP)) and bilirubin serum levels that are not specific of DILI and therefore there is an increasing interest on novel, specific, DILI biomarkers discovery. Metabolomics has emerged as a tool with a great potential for biomarker discovery, especially in disease diagnosis, and assessment of drug toxicity or efficacy. This review summarizes the multistep approaches in DILI biomarker research and discovery based on metabolomics and the principal outcomes from the research performed in this field. For that purpose, we have reviewed the recent scientific literature from PubMed, Web of Science, EMBASE, and PubTator using the terms "metabolomics", "DILI", and "humans". Despite the undoubted contribution of metabolomics to our understanding of the underlying mechanisms of DILI and the identification of promising novel metabolite biomarkers, there are still some inconsistencies and limitations that hinder the translation of these research findings into general clinical practice, probably due to the variability of the methods used as well to the different mechanisms elicited by the DILI causing agent.

Indexed as

biomarkersdiagnosticDILIhepatotoxicitymetabolomics

Identifiers

PMID35736496
PMCPMC9227129
OpenAlexW4283124068

What Socratic 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 Socratic graph.