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Live-cell imaging of human liver fibrosis using hepatic micro-organoids
Yuan Guan, … , Annika Enejder, Gary Peltz
Yuan Guan, … , Annika Enejder, Gary Peltz
Published December 10, 2024
Citation Information: JCI Insight. 2025;10(2):e187099. https://doi.org/10.1172/jci.insight.187099.
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Research Article Hepatology

Live-cell imaging of human liver fibrosis using hepatic micro-organoids

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Abstract

Due to the limitations of available in vitro systems and animal models, we lack a detailed understanding of the pathogenetic mechanisms of and have minimal treatment options for liver fibrosis. Therefore, we engineered a live-cell imaging system that assessed fibrosis in a human multilineage hepatic organoid in a microwell (i.e., microHOs). Transcriptomic analysis revealed that TGFB converted mesenchymal cells in microHOs into myofibroblast-like cells resembling those in fibrotic human liver tissue. When pro-fibrotic intracellular signaling pathways were examined, the antifibrotic effect of receptor-specific tyrosine kinase inhibitors was limited to the fibrosis induced by the corresponding growth factor, which indicates their antifibrotic efficacy would be limited to fibrotic diseases solely mediated by that growth factor. Based upon transcriptomic and transcription factor activation analyses in microHOs, glycogen synthase kinase 3β and p38 MAPK inhibitors were identified as potential new broad-spectrum therapies for liver fibrosis. Other new therapies could subsequently be identified using the microHO system.

Authors

Yuan Guan, Zhuoqing Fang, Angelina Hu, Sarah Roberts, Meiyue Wang, Wenlong Ren, Patrik K. Johansson, Sarah C. Heilshorn, Annika Enejder, Gary Peltz

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Figure 5

The TFs activated in fibrotic microHOs and in fibrotic human liver.

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The TFs activated in fibrotic microHOs and in fibrotic human liver.
(A) ...
(A) A heatmap shows the mean activity of the 25 TFs that were identified by decoupleR as being the most activated in fibrotic microHOs. The scaled mean activity for each TF in a cell cluster is indicated by the color of the square. Of note, MyoF_T1 and Cho3 had the highest level of activation of these TFs. (B) SMAD4, STAT1, and JUN activity was plotted on the UMAP, and the cluster regions are indicated on the UMAP shown on the left. The scaled mean activity for each TF is indicated by dot color. The MyoF_T1 cluster had the highest level of activity of these TFs. (C) Violin plots show the TGFB-induced increased TF activity in the MyoF_T1 and Cho3 clusters. (D) A heatmap shows the mean activity of the 42 TFs that were identified by decoupleR as being the most activated in fibrotic human liver. The scaled mean activity for each TF in a cell type is indicated by the color of the square. Myofibroblasts have the most activated TFs, and there is overlap with the TFs activated in MyoF1 in fibrotic microHOs (highlighted in red). (E) Violin plots show that myofibroblasts have an increased level of SMAD4, STAT1, and JUN activity versus that of VSMCs or HSCs. (F) Potential targets for antifibrotic drugs within the intracellular signaling pathways that are activated by TGFB or PDGFB. Pro-fibrotic agents activate the SMAD and STAT pathways, which can also activate the p38 MAPK and GSK3β pathways as shown in the diagram. Several potential targets for antifibrotic agents within SMAD, STAT, and interacting (p38 MAPK and GSK3β) pathways are also indicated in the diagram.

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