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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 4

GSK3β inhibition alters cytokine and chemokine–related pathways in hLSECs under lipotoxic stress.

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GSK3β inhibition alters cytokine and chemokine–related pathways in hLSEC...
(A) Bubble chart of top 10 downregulated pathways in CDHFD-fed Gsk3βΔEnd compared with CDHFD-fed Gsk3βfl/fl mice (left panel). Differential gene expression data based on Nanostring data and Ingenuity Pathway Analysis. The analysis included downregulated genes with a P value of less than 0.05. The color of the bubbles represents the z score, while the bubble size reflects the P value. Heatmap was generated based on normalized mRNA expression for genes within the Pathogen Induced Cytokine Storm Signaling Pathway (right panel). (B and C) mRNA expression of Cxcl10 (B) and Myc (C) in LSECs isolated from mice. (D) Network diagram from Ingenuity Pathway Analysis of LSECs from FFC-fed MASH mice (GEO accession no. GSE164006). (E) Schematic representation of hLSECs-DCs coculture assay. Created in BioRender. (F) CXCL10 mRNA expression in hLSECs (left panel) treated with palmitate ± GSK3 inhibitor LY and LSECs from mouse models treated with palmitate (right panel). (G) Gating strategy for DCs. (H and I) Flow cytometry analysis of mean fluorescence intensity (MFI) of surface markers (H) and intracellular staining (I). Bar graphs represent the mean ± SEM; *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001 (1-way ANOVA with Bonferroni’s multiple comparison).

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