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

## TL;DR

This study characterizes a pig model of alcohol-induced liver fibrosis using multi-omic analysis to identify key genes and pathways involved in the disease.

## Contribution

The study introduces a large animal model of ethanol-induced hepatic fibrosis with detailed multi-omic profiling.

## Key findings

- 3,439 genes, 70 miRNAs, 452 lncRNAs, and 7,715 methylation regions were differentially regulated in fibrotic livers.
- Key pathways included collagen synthesis, ethanol/lipid metabolism, and PI3K and BAX/BCL signaling.
- lncRNAs linked to UHRF1BP1L and S1PR1 reliably distinguished fibrotic from control livers.

## 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 UHRF1BP1L and S1PR1 genes were found to reliably discriminate the two arms of the study. These genes were previously implicated in human cancer development and vasculogenesis, respectively. These findings support the validity and translatability of this model as a useful preclinical tool in the study of alcoholic liver disease and its treatment.