Evidence map›Paper›PMID 31388629›Full record

ArticleHepatology communications2019

Tropifexor-Mediated Abrogation of Steatohepatitis and Fibrosis Is Associated With the Antioxidative Gene Expression Profile in Rodents.

Eloy D Hernandez, Lianxing Zheng, Young Kim, Bin Fang, Bo Liu, Reginald A Valdez, William F Dietrich, Paul V Rucker, Donatella Chianelli, James Schmeits and 15 more

Open access · goldAbstract read
In one paragraph

Article in Hepatology communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
8.0field-weighted citation impact, top 2% 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  4. Review
  5. Bile acid signaling in health and disease.Molecular biomedicine · 2026
    Review
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  7. Article
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  13. Article
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  15. Current strategies for nonalcoholic fatty liver disease treatment (Review).International journal of molecular medicine · 2024
    Review
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  18. Article
  19. Hammerhead-type FXR agonists induce an eRNAbioRxiv : the preprint server for biology · 2024
    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

25 authors at 3 institutions in 1 country.

Eloy D HernandezGenomics Institute of the Novartis Research Foundation La Jolla CA.
Lianxing ZhengNovartis Institutes for BioMedical Research Cambridge MA.
Young KimGenomics Institute of the Novartis Research Foundation La Jolla CA.
Bin FangGenomics Institute of the Novartis Research Foundation La Jolla CA.
Bo LiuGenomics Institute of the Novartis Research Foundation La Jolla CA.
Reginald A ValdezNovartis Institutes for BioMedical Research Cambridge MA.
William F DietrichNovartis Institutes for BioMedical Research Cambridge MA.
Paul V RuckerGenomics Institute of the Novartis Research Foundation La Jolla CA.
Donatella ChianelliGenomics Institute of the Novartis Research Foundation La Jolla CA.
James SchmeitsGenomics Institute of the Novartis Research Foundation La Jolla CA.
Dingjiu BaoGenomics Institute of the Novartis Research Foundation La Jolla CA.
Jocelyn ZollGenomics Institute of the Novartis Research Foundation La Jolla CA.
Claire DuboisGenomics Institute of the Novartis Research Foundation La Jolla CA.
Glenn C FedereGenomics Institute of the Novartis Research Foundation La Jolla CA.
Lihao ChenNovartis Institutes for BioMedical Research Cambridge MA.
Sean B JosephGenomics Institute of the Novartis Research Foundation La Jolla CA.
Lloyd B KlicksteinNovartis Institutes for BioMedical Research Cambridge MA.
John WalkerGenomics Institute of the Novartis Research Foundation La Jolla CA.
Valentina MolteniGenomics Institute of the Novartis Research Foundation La Jolla CA.
Peter McNamaraGenomics Institute of the Novartis Research Foundation La Jolla CA.
Shelly MeeusenGenomics Institute of the Novartis Research Foundation La Jolla CA.
David C TullyNovartis Institutes for BioMedical Research Emeryville CA.
Michael K BadmanNovartis Institutes for BioMedical Research Cambridge MA.
Jie XuGenomics Institute of the Novartis Research Foundation La Jolla CA.
Bryan LaffitteGenomics Institute of the Novartis Research Foundation La Jolla CA.
Genomics Institute of the Novartis Research Foundation · USNovartis (United States) · USAmgen (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Farnesoid X receptor (FXR) agonism is emerging as an important potential therapeutic mechanism of action for multiple chronic liver diseases. The bile acid-derived FXR agonist obeticholic acid (OCA) has shown promise in a phase 2 study in patients with nonalcoholic steatohepatitis (NASH). Here, we report efficacy of the novel nonbile acid FXR agonist tropifexor (LJN452) in two distinct preclinical models of NASH. The efficacy of tropifexor at <1 mg/kg doses was superior to that of OCA at 25 mg/kg in the liver in both NASH models. In a chemical and dietary model of NASH (Stelic animal model [STAM]), tropifexor reversed established fibrosis and reduced the nonalcoholic fatty liver disease activity score and hepatic triglycerides. In an insulin-resistant obese NASH model (amylin liver NASH model [AMLN]), tropifexor markedly reduced steatohepatitis, fibrosis, and profibrogenic gene expression. Transcriptome analysis of livers from AMLN mice revealed 461 differentially expressed genes following tropifexor treatment that included a combination of signatures associated with reduction of oxidative stress, fibrogenesis, and inflammation.

Identifiers

PMID31388629
PMCPMC6672390
OpenAlexW2946054531

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.