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Endothelial cell glycogen synthase kinase 3β promotes lipotoxic endotheliopathy and liver inflammation in MASH
Akitoshi Sano, Qianqian Guo, Khaled Warasnhe, Chady Meroueh, Nantawat Satthawiwat, Asma Hamdi, Ghefar Hmaydoosh, Xin Dai, Usman Yaqoob, Kevin D. Pavelko, Charlene Miciano, Tatiana Kisseleva, Zeba Firdaus, Patrick P. Starlinger, David Pereyra, Enis Kostallari, Petra Hirsova, Davide Povero, Samar H. Ibrahim
Akitoshi Sano, Qianqian Guo, Khaled Warasnhe, Chady Meroueh, Nantawat Satthawiwat, Asma Hamdi, Ghefar Hmaydoosh, Xin Dai, Usman Yaqoob, Kevin D. Pavelko, Charlene Miciano, Tatiana Kisseleva, Zeba Firdaus, Patrick P. Starlinger, David Pereyra, Enis Kostallari, Petra Hirsova, Davide Povero, Samar H. Ibrahim
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Research Article Hepatology Vascular biology

Endothelial cell glycogen synthase kinase 3β promotes lipotoxic endotheliopathy and liver inflammation in MASH

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Abstract

In metabolic dysfunction–associated steatohepatitis (MASH), liver sinusoidal endothelial cells (LSECs) acquire a proinflammatory phenotype termed lipotoxic endotheliopathy. We previously identified glycogen synthase kinase 3β (GSK3β) as a central signaling hub in LSECs during MASH. To elucidate the molecular mechanisms and functional outcome of lipotoxicity-induced GSK3β activation in LSECs, we utilized endothelial cell–specific Gsk3β-KO (Gsk3βΔEnd) mice fed MASH-inducing diets. Endothelial Gsk3β deletion significantly reduced markers of lipotoxic endotheliopathy, including adhesion molecules and chemokines, alongside liver injury, inflammation, and fibrosis. Immune profiling via flow cytometry and mass cytometry by time of flight (CyTOF) identified decreased hepatic infiltration of proinflammatory myeloid populations, particularly mature DCs in Gsk3βΔEnd mice. In a coculture system, GSK3β in lipotoxic LSECs promoted DCs maturation. Mechanistically, GSK3 inhibition restored lipotoxicity-induced alterations in LSEC mitochondrial morphology and respiration by regulating AMP-activated protein kinase and dynamin-related protein 1. This rescue suppressed chemokine and adhesion molecule expression, thereby limiting immune cell recruitment. Collectively, under lipotoxic stress, GSK3β amplifies mitochondrial dysfunction and inflammatory signaling in LSECs, enhancing myeloid cell homing and DC maturation. Targeting LSEC GSK3β may, therefore, represent a promising therapeutic strategy to mitigate LSEC-driven fibroinflammatory response in human MASH.

Authors

Akitoshi Sano, Qianqian Guo, Khaled Warasnhe, Chady Meroueh, Nantawat Satthawiwat, Asma Hamdi, Ghefar Hmaydoosh, Xin Dai, Usman Yaqoob, Kevin D. Pavelko, Charlene Miciano, Tatiana Kisseleva, Zeba Firdaus, Patrick P. Starlinger, David Pereyra, Enis Kostallari, Petra Hirsova, Davide Povero, Samar H. Ibrahim

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Figure 3

Intrahepatic leukocyte profiling by mass cytometry by time-of-flight (CyTOF).

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Intrahepatic leukocyte profiling by mass cytometry by time-of-flight (Cy...
CyTOF was performed on intrahepatic leukocytes from chow-fed Gsk3βfl/fl mice, and CDHFD-fed Gsk3βfl/fl and Gsk3βΔEnd mice. (A) Twenty-five unique clusters were defined by the surface marker panel using the Rphenograph clustering algorithm and visualized via t-distributed stochastic neighbor embedding (tSNE) plot. (B) Heatmap showing markers distribution and relative intensity across clusters. (C) Heatmap showing the relative abundance of each cluster per mouse. (D) Representative tSNE plots for each group. Red indicates high frequency categorization of cells to a cluster. Blue indicates low frequency. (E–G) Clusters categorization into distinct leukocyte subpopulations based on markers intensities. Proportion of cells belonging to specific clusters were quantified for each experimental group. (H) Representative images of digital slide scanning and analysis showing LSECs and DCs in liver tissue sections of patients with simple steatosis and MASH. Immunofluorescence staining of liver sections were analyzed using QuPath and InstanSeg. DCs were defined by CD45+CD11c+HLA-DR+ and LSECs by CD14+ expression. DC number per mm2 was counted and shown in the right panel. (I) Violin plots showing the distribution of DC-LSEC distances. Spatial distances were calculated with SciPy in Python (n = 4 for steatosis and 4 for MASH). Bar graphs represent the mean ± SEM; *P < 0.05; **P < 0.01; ****P < 0.0001 (E–G: 1-way ANOVA with Bonferroni’s multiple comparison, H: unpaired t test, I: Mann-Whitney U test).

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