Evidence map›Paper›PMID 27842772›Full record

ReviewClinics in liver disease2017

Evolution of Experimental Models of the Liver to Predict Human Drug Hepatotoxicity and Efficacy.

Lawrence A Vernetti, Andreas Vogt, Albert Gough, D Lansing Taylor

Open access · greenAbstract readReview
In one paragraph

Review in Clinics in liver disease, 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
2.8field-weighted citation impact, top 10% 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, 51 citations in OpenAlex.

  1. Review
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  16. Review
  17. Review
  18. Use of Zebrafish in Drug Discovery Toxicology.Chemical research in toxicology · 2020
    Review
  19. Improving natural product research translation: From source to clinical trial.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020
    Article
  20. Article
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

4 authors at 3 institutions in 1 country.

Lawrence A VernettiDepartment of Computational and Systems Biology, University of Pittsburgh Drug Discovery Institute, Biomedical Science Tower 200 Lothrop Street, University of Pittsburgh, Pittsburgh, PA 15260, USA. Electronic address: vernetti@pitt.edu.
Andreas VogtDepartment of Computational and Systems Biology, University of Pittsburgh Drug Discovery Institute, Biomedical Science Tower 200 Lothrop Street, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Albert GoughDepartment of Computational and Systems Biology, University of Pittsburgh Drug Discovery Institute, Biomedical Science Tower 200 Lothrop Street, University of Pittsburgh, Pittsburgh, PA 15260, USA.
D Lansing TaylorDepartment of Computational and Systems Biology, University of Pittsburgh Drug Discovery Institute, Biomedical Science Tower 200 Lothrop Street, University of Pittsburgh, Pittsburgh, PA 15260, USA; University of Pittsburgh Cancer Institute, 5150 Centre Avenue, Pittsburgh, PA 15232, USA.
University of Pittsburgh · USDiscovery Institute · USUPMC Hillman Cancer Center · US

Funding

Measuring the Temporal-Spatial Responses of Dormancy and Drug Resistance in a Human Breast Cancer Metastatic Niche within a Liver-on-a-Chip Microphysiological PlatformUH3TR000503 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TAYLOR, D. LANSING · 2014 to 2016
$6.2M
Collaborations to Extend the Microphysiology Database for Multiple Organ Models,UH2TR000503 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TAYLOR, D. LANSING, YARMUSH, MARTIN L · 2012 to 2013
$2.3M
NCATS NIH HHS UH2 TR000503NCATS NIH HHS UH3 TR000503
6 · The paper itself

Abstract

In this article, we review the past applications of in vitro models in identifying human hepatotoxins and then focus on the use of multiscale experimental models in drug development, including the use of zebrafish and human cell-based, 3-dimensional, microfluidic systems of liver functions as key components in applying Quantitative Systems Pharmacology (QSP). We have implemented QSP as a platform to improve the rate of success in the process of drug discovery and development of therapeutics.

Indexed as

Drug DesignAnimalsChemical and Drug Induced Liver InjuryDrug DiscoveryDrug Evaluation, PreclinicalEvolution, ChemicalHumansLiverMammalsModels, AnimalPredictive Value of TestsRisk AssessmentDrug discoveryDrug-induced liver injuryHuman liver modelsIn vitro hepatotoxicityLiver toxicologyMicrophysiology liverQuantitative system pharmacology

Identifiers

PMID27842772
PMCPMC6325638
OpenAlexW2554445187

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.