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Neutrophils in nasal polyps exhibit transcriptional adaptation and proinflammatory roles that depend on local polyp milieu
Chen Zhang, … , Huan Wang, Xicai Sun
Chen Zhang, … , Huan Wang, Xicai Sun
Published October 3, 2024
Citation Information: JCI Insight. 2024;9(22):e184739. https://doi.org/10.1172/jci.insight.184739.
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Research Article Inflammation

Neutrophils in nasal polyps exhibit transcriptional adaptation and proinflammatory roles that depend on local polyp milieu

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Abstract

Chronic rhinosinusitis with nasal polyps (CRSwNP) is an inflammatory upper airway disease, divided into eosinophilic CRSwNP (eCRSwNP) and noneosinophilic CRSwNP (neCRSwNP) according to eosinophilic levels. Neutrophils are major effector cells in CRSwNP, but their roles in different inflammatory environments remain largely unclear. We performed an integrated transcriptome analysis of polyp-infiltrating neutrophils from patients with CRSwNP, using healthy donor blood as a control. Additional experiments, including flow cytometry and in vitro epithelial cell and fibroblast culture, were performed to evaluate the phenotypic feature and functional role of neutrophils in CRSwNP. Single-cell RNA-sequencing analysis demonstrated that neutrophils could be classified into 5 functional subsets, with GBP5+ neutrophils occurring mainly in neCRSwNP and a high proportion of CXCL8+ neutrophils in both subendotypes. GBP5+ neutrophils exhibited significant IFN-I pathway activity in neCRSwNP. CXCL8+ neutrophils displayed increased neutrophil activation scores and mainly secreted oncostatin M (OSM), which facilitates communication with other cells. In vitro experiments showed that OSM enhanced IL-13– or IL-17–mediated immune responses in nasal epithelial cells and fibroblasts. Our findings indicate that neutrophils display transcriptional plasticity and activation when exposed to polyp tissue, contributing to CRSwNP pathogenesis by releasing OSM, which interacts with epithelial cells and fibroblasts depending on the inflammatory environment.

Authors

Chen Zhang, Qianqian Zhang, Jiani Chen, Han Li, Fuying Cheng, Yizhang Wang, Yingqi Gao, Yumin Zhou, Le Shi, Yufei Yang, Juan Liu, Kai Xue, Yaguang Zhang, Hongmeng Yu, Dehui Wang, Li Hu, Huan Wang, Xicai Sun

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Figure 1

scRNA-seq profiling maps the heterogeneity of neutrophils in nasal polyps.

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scRNA-seq profiling maps the heterogeneity of neutrophils in nasal polyp...
(A) Graphical scheme describing the experimental workflow. (B) UMAP plot depicting the major cell types identified by scRNA-seq; bar plot depicts the proportion of cell subsets. (C) UMAP plots displaying the marker gene expression of neutrophils. (D) UMAP plot depicting the neutrophils by groups. (E) Trajectory of neutrophils along pseudotime in a 2-dimensional space. Each data point corresponds to a single cell. (F) Heatmap showing the dynamic gene expression changes over pseudotime. The differentially expressed genes were clustered hierarchically into 3 groups. (G) Volcano plot showing changes in the neCRSwNP neutrophils compared with the PB neutrophils. (H) The core network calculated by MCODE in the protein-protein interaction (PPI) network for upregulated genes in the neCRSwNP neutrophils compared with the PB neutrophils. Score = 13.000. (I) Volcano plot exhibiting changes in eCRSwNP neutrophils compared with PB neutrophils. (J) The core network calculated by MCODE in the PPI network for upregulated genes in eCRSwNP neutrophils compared with PB neutrophils. Score = 8.909.

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