Evidence map›Paper›PMID 28133614›Full record

ReviewBioMed research international2017

Idiosyncratic Drug-Induced Liver Injury (IDILI): Potential Mechanisms and Predictive Assays.

Alexander D Roth, Moo-Yeal Lee

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2017. 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
4.4field-weighted citation impact, top 7% 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, 47 citations in OpenAlex.

  1. Review
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  12. Roles of Cofactors in Drug-Induced Liver Injury: Drug Metabolism and Beyond.Drug metabolism and disposition: the biological fate of chemicals · 2022
    Review
  13. Emerging liver organoid platforms and technologies.Cell regeneration (London, England) · 2021
    Review
  14. Article
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  16. Article
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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

2 authors at 1 institution in 1 country.

Alexander D RothDepartment of Chemical & Biomedical Engineering, Cleveland State University, 1960 East 24th Street, Cleveland, OH 44115-2214, USA.
Moo-Yeal LeeDepartment of Chemical & Biomedical Engineering, Cleveland State University, 1960 East 24th Street, Cleveland, OH 44115-2214, USA.ORCID 0000-0001-6922-609X
Cleveland State University · US

Funding

Mechanistic Study of Developmental Neurotoxicity on 3D Cultured Stem Cell MicroarraysR01ES025779 · NIEHS · CLEVELAND STATE UNIVERSITY · PI LEE, MOO-YEAL · 2015 to 2018
$1.3M
NIEHS NIH HHS R01 ES025779
6 · The paper itself

Abstract

Idiosyncratic drug-induced liver injury (IDILI) is a significant source of drug recall and acute liver failure (ALF) in the United States. While current drug development processes emphasize general toxicity and drug metabolizing enzyme- (DME-) mediated toxicity, it has been challenging to develop comprehensive models for assessing complete idiosyncratic potential. In this review, we describe the enzymes and proteins that contain polymorphisms believed to contribute to IDILI, including ones that affect phase I and phase II metabolism, antioxidant enzymes, drug transporters, inflammation, and human leukocyte antigen (HLA). We then describe the various assays that have been developed to detect individual reactions focusing on each of the mechanisms described in the background. Finally, we examine current trends in developing comprehensive models for examining these mechanisms. There is an urgent need to develop a panel of multiparametric assays for diagnosing individual toxicity potential.

Indexed as

Biological AssayChemical and Drug Induced Liver InjuryCoculture TechniquesHumansInflammationMetabolic Detoxication, Phase IISignal Transduction

Identifiers

PMID28133614
PMCPMC5241492
OpenAlexW2570066011

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.