Back

γδ17 T cell-stromal networks modulate matrix composition and vascularity in foreign body response

Ruta, A.; Krishnan, K.; Woo, J.; Mejias, J. C.; Gray-Gaillard, E. F.; Maestas, D. R.; Nguyen, H. H.; Rindone, A. N.; Cherry, C.; Patatanian, M.; Yu, F. H.; Yang, B.; Amelung, C.; King, C. D.; Schilling, B.; Gerecht, S.; Fertig, E. J.; Huyer, L. D.; Pardoll, D. M.; Elisseeff, J. H.

2025-10-02 immunology
10.1101/2025.09.30.679608 bioRxiv
Show abstract

Immune-stromal crosstalk governs tissue fibrosis, which is marked by dysregulated extracellular matrix (ECM) production and aberrant vasculature. Here, we investigate how {gamma}{delta} T cell interactions with stromal cells shape fibrosis in the foreign body response. During the acute reaction, type-1 ({gamma}{delta}IFN{gamma}) and type-17 ({gamma}{delta}17) effector subsets accumulated at the implant. While {gamma}{delta}IFN{gamma} decreased as fibrosis progressed, activated {gamma}{delta}17 persisted as dominant interleukin-17 producers. The {gamma}{delta}17 increased with aging and high-fat diet, both factors associated with chronic inflammation and fibrosis. Co-culture with {gamma}{delta}17 stimulated fibroblast expression of collagen genes and intercellular communication inference linked {gamma}{delta} T cell ligands to activation of ECM remodeling and vascular development programs in fibroblasts and endothelial cells. Finally, genetic deletion of {gamma}{delta} T cells altered expression of ECM components and increased vessel size within the fibrotic matrix. Altogether, our findings implicate {gamma}{delta} T cells in regulating stromal behavior to modulate composition and vascularity of fibrotic tissues.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Matrix Biology
28 papers in training set
Top 0.1%
10.2%
2
Cell Reports
1338 papers in training set
Top 2%
10.2%
3
Journal of Experimental Medicine
106 papers in training set
Top 0.2%
8.5%
4
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 13%
4.9%
5
eLife
5422 papers in training set
Top 20%
4.2%
6
Nature Communications
4913 papers in training set
Top 36%
4.0%
7
Aging Cell
144 papers in training set
Top 1%
4.0%
8
PLOS Biology
408 papers in training set
Top 3%
3.6%
9
iScience
1063 papers in training set
Top 4%
3.6%
50% of probability mass above
10
JCI Insight
241 papers in training set
Top 2%
3.3%
11
The Journal of Immunology
146 papers in training set
Top 0.5%
3.1%
12
EMBO Reports
88 papers in training set
Top 0.1%
2.4%
13
Advanced Science
249 papers in training set
Top 8%
2.1%
14
Frontiers in Immunology
586 papers in training set
Top 3%
2.1%
15
EMBO reports
136 papers in training set
Top 2%
1.7%
16
Nature Aging
51 papers in training set
Top 0.9%
1.7%
17
Cell
370 papers in training set
Top 12%
1.5%
18
Nature Immunology
71 papers in training set
Top 1%
1.2%
19
Scientific Reports
3102 papers in training set
Top 68%
1.1%
20
PLOS Pathogens
721 papers in training set
Top 7%
1.1%
21
Science Advances
1098 papers in training set
Top 27%
0.8%
22
Cell Systems
167 papers in training set
Top 11%
0.8%
23
Immunity
58 papers in training set
Top 4%
0.8%
24
The FASEB Journal
175 papers in training set
Top 3%
0.8%
25
Journal of Clinical Investigation
164 papers in training set
Top 6%
0.8%
26
Cellular & Molecular Immunology
14 papers in training set
Top 2%
0.7%
27
Journal of Biological Chemistry
641 papers in training set
Top 5%
0.7%
28
Annals of the Rheumatic Diseases
32 papers in training set
Top 0.8%
0.7%
29
Cell Stem Cell
57 papers in training set
Top 3%
0.7%
30
Nature Metabolism
56 papers in training set
Top 3%
0.7%