Evidence map›Paper›PMID 28386997›Full record

ReviewLiver international : official journal of the International Association for the Study of the Liver2017

The transformation in biomarker detection and management of drug-induced liver injury.

Rachel J Church, Paul B Watkins

Open access · bronzeAbstract readReview
In one paragraph

Review in Liver international : official journal of the International Association for the Study of the Liver, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
11.3field-weighted citation impact, top 1% 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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 98 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  9. Review
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  11. In vitro liver models for toxicological research.Drug metabolism and pharmacokinetics · 2025
    Review
  12. Article
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  14. Review
  15. Article
  16. Article
  17. Biomarkers of liver diseases.Molecular biology reports · 2023
    Review
  18. Article
  19. Article
  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

2 authors at 1 institution in 1 country.

Rachel J ChurchInstitute for Drug Safety Sciences, University of North Carolina at Chapel Hill, Research Triangle Park, NC, USA.
Paul B WatkinsInstitute for Drug Safety Sciences, University of North Carolina at Chapel Hill, Research Triangle Park, NC, USA.ORCID 0000-0001-9541-8917
University of North Carolina at Chapel Hill · US

Funding

University of North Carolina Clinical Center for DILINU01DK065201 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PAUL B WATKINS · 2003 to 2026
$7.3M
NIDDK NIH HHS U01 DK065201
6 · The paper itself

Abstract

Drug-induced liver injury (DILI) is a major concern for patients, care givers and the pharmaceutical industry. Interpretation of the serum biomarkers routinely used to detect and monitor DILI, which have not changed in almost 50 years, can be improved with recently proposed models employing quantitative systems pharmacology. In addition, several newer serum biomarkers are showing great promise. Studies in rodents indicate that the ratio of the caspase cleaved fragment of cytokeratin 18 to total K18 in serum (termed the "apoptotic index") estimates the relative proportions of apoptosis vs necrosis during drug-induced liver injury. Glutamate dehydrogenase can reliably differentiate liver from muscle injury and, when serum is properly prepared, may also detect mitochondrial toxicity as a mechanism of liver injury. MicroRNA-122 is liver-specific, but recent data suggests it can be actively released from hepatocytes in the absence of overt toxicity limiting enthusiasm for it as a DILI biomarker. Finally, damage associated molecular patterns, particularly high mobility group box 1 and its various modified forms, are promising biomarkers of innate immune activation, which may be useful in distinguishing benign elevations in aminotransferases from those that portend clinically important liver injury. These new biomarkers are already being measured in early clinical trials, but broad acceptance will require widespread archiving of serum from diverse clinical trials and probably pre-competitive analysis efforts. We believe that utilization of a panel of traditional and newer biomarkers in conjunction with quantitative systems pharmacology modelling approaches will transform DILI detection and risk management.

Indexed as

Alanine TransaminaseAlkaline PhosphataseApoptosisAspartate AminotransferasesBiomarkersChemical and Drug Induced Liver InjuryHMGB1 ProteinHumansKeratin-18LiverMicroRNAsNecrosisRisk ManagementAlanine TransaminaseAlkaline PhosphataseAspartate AminotransferasesBiomarkersHMGB1 ProteinKeratin-18MicroRNAsbiomarkersdrug-induced liver injuryhepatotoxicityidiosyncratic DILI

Identifiers

PMID28386997
PMCPMC5632128
OpenAlexW2604524922

What OpenQuestion holds

Textmetadata
LicenceTDM
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.