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GATA4 induces liver fibrosis regression by deactivating hepatic stellate cells
Noelia Arroyo, … , David A. Cano, Anabel Rojas
Noelia Arroyo, … , David A. Cano, Anabel Rojas
Published October 26, 2021
Citation Information: JCI Insight. 2021;6(23):e150059. https://doi.org/10.1172/jci.insight.150059.
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Research Article Cell biology Gastroenterology

GATA4 induces liver fibrosis regression by deactivating hepatic stellate cells

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Abstract

In response to liver injury, hepatic stellate cells activate and acquire proliferative and contractile features. The regression of liver fibrosis appears to involve the clearance of activated hepatic stellate cells, either by apoptosis or by reversion toward a quiescent-like state, a process called deactivation. Thus, deactivation of active hepatic stellate cells has emerged as a novel and promising therapeutic approach for liver fibrosis. However, our knowledge of the master regulators involved in the deactivation and/or activation of fibrotic hepatic stellate cells is still limited. The transcription factor GATA4 has been previously shown to play an important role in embryonic hepatic stellate cell quiescence. In this work, we show that lack of GATA4 in adult mice caused hepatic stellate cell activation and, consequently, liver fibrosis. During regression of liver fibrosis, Gata4 was reexpressed in deactivated hepatic stellate cells. Overexpression of Gata4 in hepatic stellate cells promoted liver fibrosis regression in CCl4-treated mice. GATA4 induced changes in the expression of fibrogenic and antifibrogenic genes, promoting hepatic stellate cell deactivation. Finally, we show that GATA4 directly repressed EPAS1 transcription in hepatic stellate cells and that stabilization of the HIF2α protein in hepatic stellate cells leads to liver fibrosis.

Authors

Noelia Arroyo, Laura Villamayor, Irene Díaz, Rita Carmona, Mireia Ramos-Rodríguez, Ramón Muñoz-Chápuli, Lorenzo Pasquali, Miguel G. Toscano, Franz Martín, David A. Cano, Anabel Rojas

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Figure 3

GATA4 promotes the regression of liver fibrosis regression.

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GATA4 promotes the regression of liver fibrosis regression.
(A) Schemati...
(A) Schematic of the experimental design. To induce liver fibrosis, CCl4 was administered to adult wild-type C57BL/6 mice for 4 weeks. Two days after the last CCl4 injection, mice were infected with GFP-expressing (Ad-GFP) and Gata4-overexpressing (Ad-Gata4) adenoviruses via the tail vein. Liver tissue is analyzed 1 week after adenovirus infection. Wild-type C57BL/6 mice treated with CCL4 showed an increase in inflammatory cells, (H) marked by CD45 immunostaining, (I) accumulation of collagen fibers marked with Sirius red staining, and (J) activation of HSCs, marked by α-SMA accumulation, compared with control mice treated with vehicle (oil) (B, C, and D, respectively). Infection of Ad-GATA4 adenoviruses in wild-type untreated C57BL/6 mice did not effect (E) CD45 cell numbers, (F) collagen accumulation, and (G) α-SMA accumulation. Increased numbers of CD45-positive cells, α-SMA expression in HSCs and collagen accumulation were observed in CCl4-treated mice followed by administration of Ad-GFP adenoviruses (K–M and Q–U). A remarkable decrease in (N) the number of inflammatory cells, (O) collagen accumulation, and (P) HSC activation was observed after administration of Ad-GATA4 adenoviruses to CCl4-treated mice compared with CCl4-treated mice infected with Ad-GFP adenoviruses (K, L, and M, respectively). (Q) Relative quantification of Sirius red–stained area per total liver area in each experimental group (n = 5–8). (R) Quantification of CD45-positive cells per total liver cells in each experimental group (n = 3 each group). (S) Relative quantification of α-SMA–positive area per total liver area in each experimental group (n = 3 each group). Quantitative RT-PCR analysis of (T) Col1A1 (n = 4–5 each group), (U) α-Sma (n = 4–5 each group), and (V) Gata4 (n = 3–5 each group) expression in each experimental group. Scale bars: 100 μm (B, C, E, F, H, I, K, L, N, and O); 25 μm (D, G, J, M, and P). Statistical analyses was performed using 1-way ANOVA. Error bars represent mean ± SEM. *P < 0.05, **P < 0.01.

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