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Hepatic expression profiling identifies steatosis-independent and steatosis-driven advanced fibrosis genes
Divya Ramnath, … , Elizabeth E. Powell, Matthew J. Sweet
Divya Ramnath, … , Elizabeth E. Powell, Matthew J. Sweet
Published July 25, 2018
Citation Information: JCI Insight. 2018;3(14):e120274. https://doi.org/10.1172/jci.insight.120274.
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Research Article Hepatology Inflammation

Hepatic expression profiling identifies steatosis-independent and steatosis-driven advanced fibrosis genes

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Abstract

Chronic liver disease (CLD) is associated with tissue-destructive fibrosis. Considering that common mechanisms drive fibrosis across etiologies, and that steatosis is an important cofactor for pathology, we performed RNA sequencing on liver biopsies of patients with different fibrosis stages, resulting from infection with hepatitis C virus (HCV) (with or without steatosis) or fatty liver disease. In combination with enhanced liver fibrosis score correlation analysis, we reveal a common set of genes associated with advanced fibrosis, as exemplified by those encoding the transcription factor ETS-homologous factor (EHF) and the extracellular matrix protein versican (VCAN). We identified 17 fibrosis-associated genes as candidate EHF targets and demonstrated that EHF regulates multiple fibrosis-associated genes, including VCAN, in hepatic stellate cells. Serum VCAN levels were also elevated in advanced fibrosis patients. Comparing biopsies from patients with HCV with or without steatosis, we identified a steatosis-enriched gene set associated with advanced fibrosis, validating follistatin-like protein 1 (FSTL1) as an exemplar of this profile. In patients with advanced fibrosis, serum FSTL1 levels were elevated in those with steatosis (versus those without). Liver Fstl1 mRNA levels were also elevated in murine CLD models. We thus reveal a common gene signature for CLD-associated liver fibrosis and potential biomarkers and/or targets for steatosis-associated liver fibrosis.

Authors

Divya Ramnath, Katharine M. Irvine, Samuel W. Lukowski, Leigh U. Horsfall, Zhixuan Loh, Andrew D. Clouston, Preya J. Patel, Kevin J. Fagan, Abishek Iyer, Guy Lampe, Jennifer L. Stow, Kate Schroder, David P. Fairlie, Joseph E. Powell, Elizabeth E. Powell, Matthew J. Sweet

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Figure 3

EHF is a candidate regulator of multiple genes associated with advanced liver fibrosis.

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EHF is a candidate regulator of multiple genes associated with advanced ...
(A) A Venn diagram showing the overlap between the ELF score–correlated genes and previously identified transcriptional targets of EHF (31). (B) A list of the 10 ELF score–correlating EHF candidate target genes from A. (C) The EHF-binding motif is significantly enriched in 9 ELF score–correlated genes (enrichment score 3.16), as identified by RcisTarget. (D–H) Expression of EHF and IRF6 (control gene) was silenced in LX-2 cells, with two independent siRNAs being used for EHF. After 24 hours, cells were stimulated with 10 ng/ml TGF-β (gray bars) for 24 hours or were left unstimulated (white bars), after which RNA was prepared and qPCR was performed. (D) Basal levels of EHF mRNA as well as TGF-β–regulated levels of mRNAs, relative to HPRT, for (E) VCAN, (F) DHRS2, (G) COL1A1, and (H) DTNA were quantified by qPCR. Data represent mean ± SEM from 3 independent experiments. FDR values were calculated using (D) nonparametric ANOVA (Kruskal-Wallis test) or (E–H) 2-way ANOVA followed by Benjamini-Hochberg multiple-testing corrections. FDR values ≤ 0.05 were considered statistically significant.

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