Back

Myeloid cells contribute to bystander CD8 T cell accumulation in metabolic-associated steatohepatitis and are sufficient for fibrosis

Lebeaupin, C.; Donahue, K.; Christensen, S. M.; Wadsworth, M. H.; Bound, K.; De, S.; McMahon, J.; Schlerman, F.; Wang, C.; Chen, X.; Barron, A. M. S.; Wynn, T. A.; Hart, K. M.; Fabre, T.

2025-12-19 immunology
10.64898/2025.12.17.694415 bioRxiv
Show abstract

Background & AimsMetabolic dysfunction-associated steatohepatitis (MASH) is a leading cause of liver fibrosis, morbidity, and mortality. It is characterized by the accumulation of fat in hepatocytes causing cell death followed by stromal cell activation and scar deposition at later disease stages. While a marked accumulation of cytotoxic CD8 T cells is observed in MASH in humans and mice, the role of adaptive immune cells in fibrosis progression remains debated. MethodsTranscriptional data were curated from human datasets and preclinical mouse models, including mice deficient in TCR{beta} T cells (Tcrb-/-), which lack conventional CD4 helper and CD8 cytotoxic T cells, in diet-induced fibrosing MASH for single-cell RNA-sequencing. Specific human and mouse liver transcriptomic immune signatures were corroborated by flow cytometry and immunofluorescence. ResultsxMASH was associated with the expansion of lymphocytes and myeloid cells. Auto-aggressive CXCR6+PD1+FASLG+ CD8 T cells were enriched in livers of high-fat-diet-fed mice and correlated with MASH and fibrosis. Notably, Tcrb-deficient mice in a chemical and dietary preclinical MASH model developed fibrosis to the same extent as wild-type mice and exhibited exacerbated pro-fibrotic type 3 inflammation. Loss of conventional CD8 T cells neither impacted myeloid cell number nor phenotype within the fibrotic niche. Neutrophil- and non-conventional lymphocyte-derived GM-CSF and IL-17A were central drivers in the fibrotic niche composed of pathogenic macrophages and activated myofibroblasts. Furthermore, myeloid cells were identified as the main source of CXCL16 in diseased livers, retaining auto-aggressive CD8 T cells to the scar and contributing to their accumulation. Thus, non-adaptive cells, including scar-associated macrophages (SAMs) and myofibroblasts, are sufficient for MASH-driven fibrosis in this model. ConclusionsTargeting myeloid cells and fibroblasts should be prioritized as anti-fibrotic therapies for MASH. Graphical abstractThe immunopathological niche in fibrosis O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=99 SRC="FIGDIR/small/694415v3_ufig1.gif" ALT="Figure 1000"> View larger version (47K): org.highwire.dtl.DTLVardef@122a24org.highwire.dtl.DTLVardef@8ca28borg.highwire.dtl.DTLVardef@103907borg.highwire.dtl.DTLVardef@10280e3_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsAdaptive and innate immune cells localize to the human MASH fibrotic niche CD8 T cells increase with MASH severity while MHC-II+ cells accumulate with fibrosis CXCR6+FASLG+ CD8 auto-aggressive T cells accumulate at the scar CXCL16+ scar-associated macrophages retain CD8 T cells in the fibrotic MASH niche Liver injury, inflammation and fibrosis persist in the absence of conventional T cells Impact and implicationsMetabolic dysfunction-associated steatohepatitis (MASH) is a progressive liver disease in which fibrosis is a key determinant of patient outcomes and survival. This study demonstrates that fibrosis in MASH can develop independent of conventional T cell immunity, driven by myeloid cells including scar-associated macrophages (SAMs) and neutrophils within a localized hepatic niche in mice and humans. This highlights the need to prioritize innate immune mechanisms as key drivers of chronic (late-stage) liver disease for researchers and clinicians developing anti-fibrotic therapies.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Journal of Hepatology
18 papers in training set
Top 0.1%
26.3%
2
Gut
36 papers in training set
Top 0.1%
22.9%
3
Hepatology
18 papers in training set
Top 0.1%
8.5%
50% of probability mass above
4
Gastroenterology
40 papers in training set
Top 0.4%
4.9%
5
Cellular and Molecular Gastroenterology and Hepatology
41 papers in training set
Top 0.2%
3.6%
6
eLife
5422 papers in training set
Top 31%
2.8%
7
BMC Medicine
163 papers in training set
Top 3%
1.8%
8
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
25 papers in training set
Top 0.2%
1.8%
9
Hepatology Communications
21 papers in training set
Top 0.2%
1.7%
10
Cell Reports Medicine
140 papers in training set
Top 5%
1.4%
11
Molecular Metabolism
105 papers in training set
Top 1%
1.2%
12
JCI Insight
241 papers in training set
Top 5%
1.1%
13
The Journal of Pathology
22 papers in training set
Top 0.3%
1.0%
14
Cell Reports
1338 papers in training set
Top 29%
1.0%
15
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 41%
0.9%
16
Molecular Therapy Methods & Clinical Development
13 papers in training set
Top 0.1%
0.8%
17
Biomedicine & Pharmacotherapy
43 papers in training set
Top 1%
0.8%
18
Journal for ImmunoTherapy of Cancer
64 papers in training set
Top 1%
0.8%
19
Diabetes
53 papers in training set
Top 0.6%
0.8%
20
Diabetes, Obesity and Metabolism
17 papers in training set
Top 0.5%
0.8%
21
Cells
232 papers in training set
Top 6%
0.8%
22
Stem Cells Translational Medicine
11 papers in training set
Top 0.2%
0.8%
23
Disease Models & Mechanisms
119 papers in training set
Top 3%
0.8%
24
eBioMedicine
130 papers in training set
Top 5%
0.7%
25
Frontiers in Immunology
586 papers in training set
Top 9%
0.7%
26
EMBO Molecular Medicine
85 papers in training set
Top 6%
0.5%
27
Nature Communications
4913 papers in training set
Top 67%
0.5%