Supplemental Material for: Type 17 mucosal‑associated invariant T cells are associated with local neutrophilia and disease stage in sinonasal inverted papilloma
Year: 2026
Type: supplementary-materials
Abstract: Introduction: Sinonasal inverted papilloma (SNIP) is characterized by intense inflammatory infiltration, predominantly neutrophilic, but the roles of specific immune cells remain unclear. Mucosal-associated invariant T (MAIT) cells are innate-like T lymphocytes crucial in mucosal immunity and chronic inflammation. This study aimed to investigate the role of MAIT cells and their subsets in SNIP and their association with clinicopathological features.Method: We enrolled 44 SNIP patients and 20 control subjects. Nasal tissues and peripheral blood samples were analyzed using flow cytometry to determine the frequency and functional profiles of MAIT cells and subsets. Their associations with clinical and pathological parameters were evaluated.Results: Neutrophil infiltration was significantly higher in SNIP tissues than in controls. MAIT cell frequency was increased locally in SNIP tissues but decreased in peripheral blood. Within SNIP tissues, MAIT cells exhibited a pronounced polarization toward the type 17 (MAIT17) subset, accompanied by a reduced type 1 (MAIT1) phenotype. SNIP tissue derived MAIT cells also demonstrated enhanced secretion of IL-17A and TNF-α. The frequency of the MAIT17 subset positively correlated with local neutrophil infiltration and was associated with advanced Krouse stage (IV) disease. Furthermore, MAIT17 cell abundance was significantly higher in patients with primary SNIP compared to those with recurrent disease.Conclusion: The MAIT17 subset is elevated in SNIP tissues and associated with local neutrophil infiltration, advanced disease stage, and primary tumors. MAIT cells, particularly the MAIT17 subset, may serve as a cellular biomarker for disease stratification and a potential therapeutic target in SNIP.
Source: Figshare
Institution: Karger Publishers (Switzerland)
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7201890273