Evidence map›Paper›PMID 40330554›Full record

ArticleFrontiers in toxicology2025

Elucidating the mechanistic relationships between peroxisome proliferator-activated receptors and hepatic fibrosis using the ROBOKOP knowledge graph.

Karamarie Fecho, Nyssa Tucker, Jon-Michael Beasley, Scott S Auerbach, Chris Bizon, Alexander Tropsha

Abstract read
In one paragraph

Article in Frontiers in toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Karamarie FechoRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Nyssa TuckerUNC Eshelman School of Pharmacy and Curriculum in Toxicology and Environmental Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Jon-Michael BeasleyUNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Scott S AuerbachDivision of Translational Toxicology, National Institute of Environmental Health Sciences, Durham, NC, United States.
Chris BizonRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Alexander TropshaRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.

Funding

TOXICOLOGYT32ES007126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ILONA JASPERS, Bernard E. Weissman · 1985 to 2026
$13.0M
Supporting Biomedical Discovery with the ROBOKOP Graph Knowledgebase.U24ES035214 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Christopher Bizon, Alexander Tropsha · 2022 to 2026
$4.0M
NIEHS NIH HHS T32 ES007126NIEHS NIH HHS U24 ES035214
6 · The paper itself

Abstract

We developed the Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways (ROBOKOP) application as an open-source knowledge graph system to support evidence-based biomedical discovery and hypothesis generation. This study aimed to apply ROBOKOP to suggest biological mechanisms that might explain the hypothesized relationship between exposure to the herbicide and lipid-lowering drug clofibrate, an activator of peroxisome proliferator-activated receptor-α (PPARA), and hepatic fibrosis. We queried ROBOKOP to first establish that it could demonstrate a relationship between clofibrate and PPARA as a validation test and second to identify intermediary genes and biological processes or activities that might relate the activation of PPARA by clofibrate to hepatic fibrosis. Queries of ROBOKOP returned several paths relating clofibrate, PPARA, and hepatic fibrosis. One path suggested the following:

Indexed as

adverse outcome pathwaychemical safetyknowledge graphknowledge sourcesmechanistic toxicologyreasoning algorithmsemantic harmonization

Identifiers

PMID40330554
PMCPMC12052891

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.