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Cellular communication networks in fibrosis: Insights from the MASLD pig model

Authors: Zhang, Kaiyi; Miao, Jiakun; Du, Juan; Yang, Yu; Xia, Boce; Peng, Huanqi; Xu, Shuang; +4 Authors

Cellular communication networks in fibrosis: Insights from the MASLD pig model

Abstract

Background: This research aims to reveal the cellular cross talk in fibrosis liver using transgenic pigs (TG) expressing humanized risk genes (PNPLA3I148M-GIPRdn-hIAPP) as a metabolic dysfunction–associated steatotic liver disease (MASLD) model. Methods and Results: The study uses single-nucleus sequencing to reveal the differentiation and interaction characteristics of various cell populations in the liver during the development of MASLD. After 6 months of high-fat, high-sucrose diet induction, the model pigs exhibited obvious liver pathological features, including fat deposition, inflammatory cell aggregation, fibrosis, and blocked insulin signaling pathways, similar to PNPLA3 rs738409 C>G carriers. Single-nucleus RNA sequencing showed that pigs share a high correlation with human hepatic cell types and zonation. HSCs in TG pigs are more activated, showing enhancing fibrosis-related pathways and declining retinol metabolism. Pseudo-trajectory analysis revealed that over 90% of macrophages in TG liver differentiated to Fate 1 (CD68hi) with higher expression of major histocompatibility complex-II molecules, proinflammatory cytokines, phagosomes, and lysosomal-related genes. Active cell interactions were found between HSCs, endothelial cells, and Fate1 macrophages. Ligand and receptor interactions, including FGF23-FGFR, PDGFs-PDGFRs, EFNA1-EPHRs, and CXCL12-CXCR4/CXCR7, were predicted to involve in hepatic fibrosis in model pigs. Conclusions: The transgenic pig model of MASLD exhibits liver pathological features consistent with patients with MASLD. Our data supplemented the mechanism by which PNPLA3 mutations lead to hepatic steatosis, depicted a detailed atlas of hepatic profibrosis cellular network, and provided a reliable large animal model and data reference for MASLD drug development and precision treatment.

Country
Belgium
Keywords

Liver/metabolism, Liver Cirrhosis, Swine, LSECs, Liver Cirrhosis/pathology, Non-alcoholic Fatty Liver Disease/genetics, macrophage, Cell Communication, Diet, High-Fat, Cell Communication/genetics, Fatty Liver/pathology, Fatty Liver/genetics, Animals, Genetically Modified, Liver Cirrhosis/genetics, Agriculture & agronomie, Non-alcoholic Fatty Liver Disease, Macrophages/metabolism, HSCs, Hepatic Stellate Cells, Animals, Humans, Membrane Proteins/genetics, PNPLA3, Non-alcoholic Fatty Liver Disease/pathology, snRNA sequencing, Hepatology, Fatty Liver/metabolism, Macrophages, Membrane Proteins, Liver Cirrhosis/metabolism, Agriculture & agronomy, Life sciences, Hepatic Stellate Cells/metabolism, Fatty Liver, Disease Models, Animal, Liver, Sciences du vivant, Original Article, Liver/pathology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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gold