Evidence map›Paper›PMID 40040391›Full record

ArticleEpigenetics2025

Single and multi-omic characterization of a porcine model of ethanol-induced hepatic fibrosis.

Mark Hieromnimon, Daniel P Regan, R Peter Lokken, Lawrence B Schook, Ron C Gaba, Kyle M Schachtschneider

Abstract read
In one paragraph

Article in Epigenetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Mark HieromnimonDepartment of Radiology, University of Illinois at Chicago, Chicago, IL, USA.
Daniel P ReganFlint Animal Cancer Center, Colorado State University, Fort Collins, CO, USA.
R Peter LokkenDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Lawrence B SchookDepartment of Radiology, University of Illinois at Chicago, Chicago, IL, USA.
Ron C GabaDepartment of Radiology, University of Illinois at Chicago, Chicago, IL, USA.
Kyle M SchachtschneiderDepartment of Radiology, University of Illinois at Chicago, Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cirrhosis is a form of end-stage liver disease characterized by extensive hepatic fibrosis and loss of liver parenchyma. It is most commonly the result of long-term alcohol abuse in the United States. Large animal models of cirrhosis, as well as of one of its common long-term sequelae, HCC, are needed to study novel and emerging therapeutic interventions. In the present study, liver fibrosis was induced in the Oncopig cancer model, a large animal HCC model, via intrahepatic, intra-arterial ethanol infusion. Liver sections from five fibrosis induced and five age-matched controls were harvested for RNA-seq (mRNA and lncRNA), small RNA-seq (miRNA), and reduced representation bisulfite sequencing (RRBS; DNA methylation). Single- and multi-omic analysis was performed to investigate the transcriptomic and epigenomic mechanisms associated with fibrosis deposition in this model. A total of 3,439 genes, 70 miRNAs, 452 lncRNAs, and 7,715 methylation regions were found to be differentially regulated through individual single-omic analysis. Pathway analysis indicated differentially expressed genes were associated with collagen synthesis and turnover, hepatic metabolic functions such as ethanol and lipid metabolism, and proliferative and anti-proliferative pathways including PI3K and BAX/BCL signaling pathways. Multi-omic latent variable analysis demonstrated significant concordance with the single-omic analysis. lncRNA's associated with

Indexed as

EthanolLiver CirrhosisAnimalsDisease Models, AnimalDNA MethylationEpigenesis, GeneticMicroRNAsMultiomicsRNA, Long NoncodingSwineTranscriptomeEthanolMicroRNAsRNA, Long NoncodingAlcoholic liver diseaseepigeneticsfibrosispig cancer modeltranslational research

Identifiers

PMID40040391
PMCPMC11901410

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Registered trials

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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.