Evidence map›Paper›PMID 38474249›Full record

ArticleInternational journal of molecular sciences2024

Exploring Individual Variability in Drug-Induced Liver Injury (DILI) Responses through Metabolomic Analysis.

Marta Moreno-Torres, Guillermo Quintás, Teresa Martínez-Sena, Ramiro Jover, José V Castell

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Kratom (Molecules (Basel, Switzerland) · 2026
    Article
  5. 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

5 authors at 3 institutions in 1 country.

Marta Moreno-TorresUnidad Mixta de Hepatología Experimental, Instituto de Investigación Sanitaria del Hospital La Fe (IIS La Fe), 46026 Valencia, Spain.ORCID 0000-0001-6684-8731
Guillermo QuintásCentro de Investigación Biomédica En Red de Enfermedades Hepáticas y Digestivas CIBEREHD, Instituto de Salud Carlos III, 28029 Madrid, Spain.ORCID 0000-0002-4240-9846
Teresa Martínez-SenaUnidad Mixta de Hepatología Experimental, Instituto de Investigación Sanitaria del Hospital La Fe (IIS La Fe), 46026 Valencia, Spain.
Ramiro JoverUnidad Mixta de Hepatología Experimental, Instituto de Investigación Sanitaria del Hospital La Fe (IIS La Fe), 46026 Valencia, Spain.ORCID 0000-0002-4914-5804
José V CastellUnidad Mixta de Hepatología Experimental, Instituto de Investigación Sanitaria del Hospital La Fe (IIS La Fe), 46026 Valencia, Spain.ORCID 0000-0003-1179-6430
Universitat de València · ESInstituto de Investigación Sanitaria La Fe · ESInstituto de Salud Carlos III · ES

Funding

Conselleria de Educación, Universidades y Empleo de la Generalitat Valenciana CIGE/2022/145Eutoxrisk H2020-681002FP7-HEALTH-2013-INNOVATION-1 HeCaTos" Grant agreement ID: 602156Instituto de Salud Carlos III FI18/00260Instituto de Salud Carlos III PI20/00690Ministerio de Ciencia e Innovación PID2021-125573OB-I00Ministerio de Ciencia e Innovación RYC2021-031346-I
6 · The paper itself

Abstract

Drug-induced liver injury (DILI) is a serious adverse hepatic event presenting diagnostic and prognostic challenges. The clinical categorization of DILI into hepatocellular, cholestatic, or mixed phenotype is based on serum alanine aminotransferase (ALT) and alkaline phosphatase (ALP) values; however, this classification may not capture the full spectrum of DILI subtypes. With this aim, we explored the utility of assessing changes in the plasma metabolomic profiles of 79 DILI patients assessed by the RUCAM (Roussel Uclaf Causality Assessment Method) score to better characterize this condition and compare results obtained with the standard clinical characterization. Through the identification of various metabolites in the plasma (including free and conjugated bile acids and glycerophospholipids), and the integration of this information into predictive models, we were able to evaluate the extent of the hepatocellular or cholestatic phenotype and to assign a numeric value with the contribution of each specific DILI sub-phenotype into the patient's general condition. Additionally, our results showed that metabolomic analysis enabled the monitoring of DILI variability responses to the same drug, the transitions between sub-phenotypes during disease progression, and identified a spectrum of residual DILI metabolic features, which can be overlooked using standard clinical diagnosis during patient follow-up.

Indexed as

Chemical and Drug Induced Liver InjuryCholestasisAlanine TransaminaseHumansRisk FactorsAlanine TransaminasebiomarkerscholestasisDILIhepatocellular damagehepatotoxicityidiosyncratic DILImetabolomicsupdated RUCAM

Identifiers

PMID38474249
PMCPMC10932304
OpenAlexW4392460597

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.