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Interspecies NASH disease activity whole-genome profiling identifies a fibrogenic role of PPARα-regulated dermatopontin
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
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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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 5

Dpt–/– mice display an altered response to CCl4-induced injury.

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Dpt–/– mice display an altered response to CCl4-induced injury.
(A) The ...
(A) The expression of hepatic genes was monitored using Affymetrix microarrays after RNA extraction from CCl4-treated Dpt+/+ or Dpt–/– mouse livers (n = 6). Gene expression patterns were compared using an unpaired t test (FC > 2, P < 0.05) and are shown as a scatter plot. Differentially expressed gene lists were analyzed by gene set enrichment analysis (GSEA); top-ranking gene sets are indicated. The two most extreme green lines indicate a fold change of 1.2. (B) Gene expression values for fibrosis-related genes. Normalized gene expression values were extracted from microarray data and were expressed relative to expression levels detected in unchallenged Dpt+/+ mouse livers. (C) SMAD3 and phospho-SMAD3 protein levels. Quantification of protein levels after WES-based analysis (Supplemental Figure 10) are shown. Results are expressed as the mean ± SEM of densitometric arbitrary units (n = 6–8). Data were compared using a 2-tailed ANOVA corrected for multiple comparisons using the Dunnett’s post hoc test. *P < 0.05, **P < 0.01, ***P < 0.005.

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