Evidence map›Paper›PMID 42473639›Full record

ArticleFrontiers in toxicology2026

A systems-level integration of liver-kidney transcriptomics and genome-scale metabolic models reveals organ-specific injury mechanisms.

Venkat R Pannala, Archana Hari, Scott S Auerbach, Anders Wallqvist

Abstract read
In one paragraph

Article in Frontiers in toxicology, 2026. 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

4 authors.

Venkat R PannalaDepartment of War Biotechnology High Performance Computing Software Applications Institute, Defense Health Agency Research & Development, Medical Research and Development Command, Fort Detrick, MD, United States.
Archana HariDepartment of War Biotechnology High Performance Computing Software Applications Institute, Defense Health Agency Research & Development, Medical Research and Development Command, Fort Detrick, MD, United States.
Scott S AuerbachDivision of Translational Toxicology, National Institute of Environmental Health Sciences, Research TrianglePark, NC, United States.
Anders WallqvistDepartment of War Biotechnology High Performance Computing Software Applications Institute, Defense Health Agency Research & Development, Medical Research and Development Command, Fort Detrick, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The liver and kidneys are the primary organs that clear chemicals from the body, yet they often exhibit different pathological responses to the same systemic exposure. While high-throughput transcriptomics (HTT) can map broad molecular perturbations, identifying the differential mechanisms that govern organ-specific injury remains a challenge. To address this knowledge gap, we investigated the dose-dependent effects of three peroxisome proliferator-activated receptor alpha agonists-coumarin, fenofibrate, and perfluorooctanoic acid (PFOA)-on liver and kidney metabolism to understand the organ-specific mechanisms of toxicity. We used HTT data from 5-day

Indexed as

bile acid exportcell cycle regulationER stresslipid metabolismliver and kidney toxicitytranscriptomics

Identifiers

PMID42473639
PMCPMC13381020

What Socratic 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 Socratic graph.