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Sirolimus-eluting airway stent reduces profibrotic Th17 cells and inhibits laryngotracheal stenosis
Kevin M. Motz, Ioan A. Lina, Idris Samad, Michael K. Murphy, Madhavi Duvvuri, Ruth J. Davis, Alexander Gelbard, Liam Chung, Yee Chan-Li, Samuel Collins, Jonathan D. Powell, Jennifer H. Elisseeff, Maureen R. Horton, Alexander T. Hillel
Kevin M. Motz, Ioan A. Lina, Idris Samad, Michael K. Murphy, Madhavi Duvvuri, Ruth J. Davis, Alexander Gelbard, Liam Chung, Yee Chan-Li, Samuel Collins, Jonathan D. Powell, Jennifer H. Elisseeff, Maureen R. Horton, Alexander T. Hillel
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Research Article Immunology Pulmonology

Sirolimus-eluting airway stent reduces profibrotic Th17 cells and inhibits laryngotracheal stenosis

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Abstract

Laryngotracheal stenosis (LTS) is pathologic fibrotic narrowing of the larynx and trachea characterized by hypermetabolic fibroblasts and CD4+ T cell–mediated inflammation. However, the role of CD4+ T cells in promoting LTS fibrosis is unknown. The mTOR signaling pathways have been shown to regulate the T cell phenotype. Here we investigated the influence of mTOR signaling in CD4+ T cells on LTS pathogenesis. In this study, human LTS specimens revealed a higher population of CD4+ T cells expressing the activated isoform of mTOR. In a murine LTS model, targeting mTOR with systemic sirolimus and a sirolimus-eluting airway stent reduced fibrosis and Th17 cells. Selective deletion of mTOR in CD4+ cells reduced Th17 cells and attenuated fibrosis, demonstrating CD4+ T cells’ pathologic role in LTS. Multispectral immunofluorescence of human LTS revealed increased Th17 cells. In vitro, Th17 cells increased collagen-1 production by LTS fibroblasts, which was prevented with sirolimus pretreatment of Th17 cells. Collectively, mTOR signaling drove pathologic CD4+ T cell phenotypes in LTS, and targeting mTOR with sirolimus was effective at treating LTS through inhibition of profibrotic Th17 cells. Finally, sirolimus may be delivered locally with a drug-eluting stent, transforming clinical therapy for LTS.

Authors

Kevin M. Motz, Ioan A. Lina, Idris Samad, Michael K. Murphy, Madhavi Duvvuri, Ruth J. Davis, Alexander Gelbard, Liam Chung, Yee Chan-Li, Samuel Collins, Jonathan D. Powell, Jennifer H. Elisseeff, Maureen R. Horton, Alexander T. Hillel

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Figure 4

CD4+ T cell phenotype regulated profibrotic fibroblast function in vitro.

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CD4+ T cell phenotype regulated profibrotic fibroblast function in vitro...
(A) Representative images from multispectral IF analysis staining cytokeratin, CD4, RORγt (Th17 cell related transcription factor), and DAPI in normal controls (left) and human LTS specimens (right). Quantitative analysis of multispectral IF showed greater density of cells (percentage of total) expressing (B) RORγt (64.87 ± 18.99 versus 15.28 ± 3.77) and (C) colocalizing both CD4+ and RORγt (50.13 ± 16.29 versus 8.318 ± 3.40) in LTS (n = 8) compared with normal control specimens (n = 8). (D) Schematic of the in vitro coculture model that showed (E) skewed Th1 cells produced IFN-γ and (F) skewed Th17 cells produced IL-17A cytokines, respectively, with sirolimus inhibiting the production of IL-17A from Th17 cells. (G) Human LTS-derived fibroblasts increased COL1A1 gene expression when cocultured with Th17 cells (3.360 ± 0.940); the increase was not present when Th17 CD4+ T cells were pretreated with sirolimus (Th17 + S) (0.089 ± 0.02) or when cultured with an IL-17A–neutralizing antibody (Th17 + IL-17A Ab) (1.39 ± 0.22). Human LTS-derived fibroblasts had lower COL1A1 gene expression when cocultured with Th1 cells (0.055 ± 0.38). (H) Collagen-1 protein (pg/mg) was higher in human LTS-derived fibroblasts when cultured with Th17 cells (369.1 ± 72.72) than in control specimens (217.2 ± 68.51). This effect was not observed in Th17 + S (84.13 ± 25.87) or when treated with an IL-17A neutralizing antibody (Th17 + IL-17A Ab) (124.0 ± 13.62). (I) There was no difference in cell proliferation of LTS fibroblasts in coculture with Th1, Th17, Th17 + S, and Th17 + IL-17A Ab CD4+ T cells. Data are presented as mean ± SEM. A 2-way ANOVA was used to determine significant differences between coculture conditions, and a Bonferroni correction was used to account for multiple comparisons. Significant changes in gene expression were determined by comparing ΔCT values. Gene expression data are represented as average fold change (2ΔΔCT) and SEM. *P < 0.05, **P < 0.01, ***P <0.001, ****P < 0.0001.

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