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Interspecies NASH disease activity whole-genome profiling identifies a fibrogenic role of PPARα-regulated dermatopontin
Philippe Lefebvre, … , Sven Francque, Bart Staels
Philippe Lefebvre, … , Sven Francque, Bart Staels
Published July 6, 2017
Citation Information: JCI Insight. 2017;2(13):e92264. https://doi.org/10.1172/jci.insight.92264.
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Research Article Gastroenterology

Interspecies NASH disease activity whole-genome profiling identifies a fibrogenic role of PPARα-regulated dermatopontin

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Abstract

Nonalcoholic fatty liver disease prevalence is soaring with the obesity pandemic, but the pathogenic mechanisms leading to the progression toward active nonalcoholic steatohepatitis (NASH) and fibrosis, major causes of liver-related death, are poorly defined. To identify key components during the progression toward NASH and fibrosis, we investigated the liver transcriptome in a human cohort of NASH patients. The transition from histologically proven fatty liver to NASH and fibrosis was characterized by gene expression patterns that successively reflected altered functions in metabolism, inflammation, and epithelial-mesenchymal transition. A meta-analysis combining our and public human transcriptomic datasets with murine models of NASH and fibrosis defined a molecular signature characterizing NASH and fibrosis and evidencing abnormal inflammation and extracellular matrix (ECM) homeostasis. Dermatopontin expression was found increased in fibrosis, and reversal of fibrosis after gastric bypass correlated with decreased dermatopontin expression. Functional studies in mice identified an active role for dermatopontin in collagen deposition and fibrosis. PPARα activation lowered dermatopontin expression through a transrepressive mechanism affecting the Klf6/TGFβ1 pathway. Liver fibrotic histological damages are thus characterized by the deregulated expression of a restricted set of inflammation- and ECM-related genes. Among them, dermatopontin may be a valuable target to reverse the hepatic fibrotic process.

Authors

Philippe Lefebvre, Fanny Lalloyer, Eric Baugé, Michal Pawlak, Céline Gheeraert, Hélène Dehondt, Jonathan Vanhoutte, Eloise Woitrain, Nathalie Hennuyer, Claire Mazuy, Marie Bobowski-Gérard, Francesco Paolo Zummo, Bruno Derudas, Ann Driessen, Guy Hubens, Luisa Vonghia, Wilhelmus J. Kwanten, Peter Michielsen, Thomas Vanwolleghem, Jérôme Eeckhoute, An Verrijken, Luc Van Gaal, Sven Francque, Bart Staels

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Figure 3

DPT expression correlates with human fibrosis severity.

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DPT expression correlates with human fibrosis severity.
(A) Human DPT a...
(A) Human DPT and PPAR expression as a function of the fibrosis stage. PPARα, PPARβ/δ, and PPARγ expression levels were extracted from microarray data and expressed relative to control (no fibrosis) arbitrarily set to 1. Expression values are expressed as the mean ± SEM (n = 16–35) and compared using a 2-tailed ANOVA corrected for multiple comparisons using the Dunnett’s post hoc test. *P < 0.05. (B) DPT mRNA expression level after gastric bypass (GABY). DPT expression level were assayed by qPCR and expressed relative to a randomly chosen baseline value set to 1. Data are expressed as the mean ± SEM and were compared using an unpaired t test (n = 52). (C) Correlation between fibrosis evolution and DPT expression in human fibrotic livers. DPT expression was plotted before (M0) and after GABY (M12) as a function of the fibrosis-stage evolution. Expression values, assayed by qPCR, were compared using a paired t test. (D) Scatter plot of differentially expressed genes in carbon tetrachloride–treated (CCl4-treated) Dpt+/+ mice. Gene expression was assayed using Affymetrix array (n = 6) and analyzed using the Genespring 14.3 software. Upregulated genes are indicated in red, downregulated genes in green. The fold change (FC) threshold was set at 2 (P < 0.05) and is indicated by the two green lines. The most relevant gene symbols are indicated; a complete listing of induced and repressed genes can be found in supplemental Table 9. Dpt was induced 4-fold. (E) Up- and downregulated gene lists underwent a gene ontology (GO) term enrichment against the biological process function annotation table (Metascape, settings: minimum overlap 5, P value cutoff 0.01, minimum enrichment 5). Statistically enriched terms were converted into a network layout in which circle diameters are proportional to the number of genes and the thickness of edges indicates the similarity score. The color scales indicate the P value of the nodes. A complete list of genes can be found in supplemental Table 11.

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