CD4+ T cells promote fibrosis during metabolic dysfunction-associated steatohepatitis
Valenzuela-Perez, L.; Kim Lee, H. S.; Bayer, R. L.; Mishra, S. K.; Washington, A. M.; Guo, Q.; Herman, A.; Graham, R. P.; Sidahmed, M. M.; Ssali, E.; Hassan, A. A.; Dinc, E. J.; Pavelko, K. D.; Gores, G. J.; Starlinger, P.; Revelo, X. S.; Ibrahim, S. H.; Kostallari, E.; Bamidele, A. O.; Hirsova, P.
10.1101/2025.06.27.660220 bioRxivShow abstract
Unresolved inflammation and fibrosis are the two key features of metabolic dysfunction-associated steatohepatitis (MASH), a progressive form of steatotic liver disease that can evolve into cirrhosis and liver cancer. Although innate immunity has been well studied in MASH, the role of CD4 T cells remains underexplored despite their potential to coordinate immune responses by providing help to other immune cells, promoting inflammation, or regulating immune activity through effector and regulatory subsets. To better understand the role of CD4+ T cells in the pathogenesis of MASH, we comprehensively characterized hepatic CD4+ T cells in murine and human MASH at a single-cell protein, transcriptional, and functional level. Mass cytometry and CITE-sequencing revealed a marked shift in intrahepatic CD4 T-cell composition in MASH, with enrichment of Th1, regulatory, and cytotoxic CD4 T cells. Similar phenotypic changes were mirrored in the peripheral blood and validated in human MASH samples. Functional assays demonstrated increased production of IFN{gamma} and TNF by hepatic CD4 T cells, highlighting their proinflammatory effector activity. Transcriptomic profiling identified Tnfrsf4 (OX40) upregulation in hepatic CD4 T cells during MASH. Therapeutic blockade of the OX40L-OX40 axis reversed hepatic fibrosis and improved histologic disease scores in mice with established MASH, and also decreased inflammatory markers in a human ex vivo liver model. Together, these studies provide a proteogenomic single-cell atlas for hepatic CD4 T cells and uncover a CD4 T cell-dependent immunopathogenic circuit as a promising immunotherapeutic target to alleviate MASH and liver fibrosis.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Loss of embryonically-derived Kupffer cells during hypercholesterolemia accelerates atherosclerosis development 96%
- Autocrine IL11 cis-signaling in hepatocytes is an initiating nexus between lipotoxicity and non-alcoholic steatohepatitis 96%
- Spatial transcriptomics of healthy and fibrotic human liver at single-cell resolution 96%
Similar papers in this journal
- Scar-associated endothelial-stellate cellular crosstalk drives fibrosis resolution in MASH 95%
- Compensatory hepatic adaptation accompanies permanent absence of intrahepatic biliary network due to YAP1 loss in liver progenitors 95%
- Regulatory T cell stability determines the efficiency of bile duct regeneration during cholangitis. 95%
Similar papers in this journal
- CXCR2 inhibition enables NASH-HCC immunotherapy 95%
- Metabolic Reprogramming by Mutant GNAS Creates an Actionable Dependency in Intraductal Papillary Mucinous Neoplasms of the Pancreas 93%
- Distinct Single-cell Immune Ecosystems Distinguish True and De Novo HBV-related Hepatocellular Carcinoma Recurrences 92%
Similar papers in this journal
- Selective IL-27 production by intestinal regulatory T cells permits gut-specific regulation of Th17 immunity 93%
- Stepwise chromatin and transcriptional acquisition of an intraepithelial lymphocyte program 93%
- A microenvironment-driven, HLA-II-associated insulin neoantigen elicits persistent memory T cell activation in diabetes 92%
Similar papers in this journal
- Interleukin-21 Drives a Hypermetabolic State and CD4+ T Cell-associated Pathogenicity in Chronic Intestinal Inflammation 95%
- Systemic identification of functionally conserved lncRNA metabolic regulators in human and mouse livers 94%
- Single-cell transcriptomics reveals a conserved metaplasia program in pancreatic injury 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.