Evidence map›Paper›PMID 34105804›Full record

ArticleHepatology (Baltimore, Md.)2021

Key Characteristics of Human Hepatotoxicants as a Basis for Identification and Characterization of the Causes of Liver Toxicity.

Ivan Rusyn, Xabier Arzuaga, Russell C Cattley, J Christopher Corton, Stephen S Ferguson, Patricio Godoy, Kathryn Z Guyton, Neil Kaplowitz, Salman R Khetani, Ruth A Roberts and 2 more

Open access · greenAbstract read
In one paragraph

Article in Hepatology (Baltimore, Md.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
8.8field-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, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. A targeted lipidomics workflow for high-throughput phenotyping and mechanism-based in vitro hepatotoxicity studies.Toxicology in vitro : an international journal published in association with BIBRA · 2026
    Article
  4. Article
  5. Article
  6. Unveiling toxicological adverse outcomes: toward construction and simulation of large-scale networks.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Mediation analysis of the molecular phenotypes in a severe MASH-like liver injury mouse model.Toxicological sciences : an official journal of the Society of Toxicology · 2025
    Article
  15. Article
  16. Review
  17. A workflow for human health hazard evaluation using transcriptomic data and Key Characteristics-based gene sets.Toxicological sciences : an official journal of the Society of Toxicology · 2025
    Article
  18. Article
  19. Observational
  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

12 authors at 11 institutions in 5 countries.

Ivan RusynDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX.
Xabier ArzuagaCenter for Public Health and Environmental Assessment, Environmental Protection Agency, Washington, DC.
Russell C CattleyDepartment of Pathobiology, Auburn University, Auburn, AL.
J Christopher CortonCenter for Computational Toxicology and Exposure, Environmental Protection Agency, Durham, NC.
Stephen S FergusonNational Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC.
Patricio GodoyRoche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland.
Kathryn Z GuytonMonographs Programme, International Agency for Research on Cancer, Lyon, France.
Neil KaplowitzResearch Center for Liver Disease, University of Southern California, Los Angeles, CA.
Salman R KhetaniDepartment of Bioengineering, University of Illinois at Chicago, Chicago, IL.ORCID 0000-0002-5407-6743
Ruth A RobertsApconiX, Alderley Edge, United Kingdom.
Robert A RothDepartment of Pharmacology and Toxicology, Michigan State University, East Lancing, MI.
Martyn T SmithDivision of Environmental Health Sciences, University of California Berkeley, Berkeley, CA.
Environmental Protection Agency · USAuburn University · USCentre international de recherche sur le cancer · FRMichigan State University · USNational Institute of Environmental Health Sciences · USPixelMill (United Kingdom) · GBRoche (Switzerland) · CHTexas A&M University · USUniversity of California, Berkeley · USUniversity of Illinois Chicago · USUniversity of Southern California · US

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI MCHALE, CLIONA · 1987 to 2025
$74.6M
Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
Intramural NIH HHS Z99 ES999999NIEHS NIH HHS P42 ES004705NIEHS NIH HHS P42 ES027704NIOSH CDC HHS T42 OH008429World Health Organization 001
6 · The paper itself

Abstract

Hazard identification regarding adverse effects on the liver is a critical step in safety evaluations of drugs and other chemicals. Current testing paradigms for hepatotoxicity rely heavily on preclinical studies in animals and human data (epidemiology and clinical trials). Mechanistic understanding of the molecular and cellular pathways that may cause or exacerbate hepatotoxicity is well advanced and holds promise for identification of hepatotoxicants. One of the challenges in translating mechanistic evidence into robust decisions about potential hepatotoxicity is the lack of a systematic approach to integrate these data to help identify liver toxicity hazards. Recently, marked improvements were achieved in the practice of hazard identification of carcinogens, female and male reproductive toxicants, and endocrine disrupting chemicals using the key characteristics approach. Here, we describe the methods by which key characteristics of human hepatotoxicants were identified and provide examples for how they could be used to systematically identify, organize, and use mechanistic data when identifying hepatotoxicants.

Indexed as

AnimalsChemical and Drug Induced Liver InjuryHumansLiver

Identifiers

PMID34105804
PMCPMC8901129
OpenAlexW3172904256

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.