Characterizing immune microenvironment cell composition of chronic rhinosinusitis with nasal polyps based on mass cytometry technology
10.3760/cma.j.cn115330-20240210-00085
- VernacularTitle:基于质谱流式技术分析慢性鼻窦炎伴鼻息肉的免疫微环境细胞构成特征
- Author:
Lei WANG
1
;
Weiqing WANG
;
Surita AODENG
;
Yuzhuo LIU
;
Zhenzhen ZHU
;
Jingjing LI
;
Wei LYU
Author Information
1. 中国医学科学院 北京协和医学院 北京协和医院耳鼻咽喉头颈外科，北京 100730
- Keywords:
Sinusitis;
Nasal polyp;
Type 2 inflammation;
Immune microenvironment;
Mass cytometry
- From:
Chinese Journal of Otorhinolaryngology Head and Neck Surgery
2024;59(6):532-542
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the cellular composition characteristics of the nasal tissue immune microenvironment in patients with control, chronic rhinosinusitis without nasal polyps (CRSsNP), non-eosinophilic chronic rhinosinusitis with nasal polyps (neCRSwNP), and eosinophilic chronic rhinosinusitis with nasal polyps (eCRSwNP) using mass cytometry flow technology.Methods:Thirteen CRS patients who underwent endoscopic nasal surgery at the Department of Otorhinolaryngology Head and Neck Surgery of Peking Union Medical College Hospital from March to December 2022 were recruited, including 8 males and 5 females, aged 22.3 to 58.3 years. Three control mucosae were obtained from normal ethmoid or sphenoid sinuses of patients with benign tumors of the temporal fossa or non-functional pituitary adenomas who underwent endoscopic surgery, excluding allergic rhinitis and sinusitis. Sixteen clinical tissue samples (3 of control, 3 of CRSsNP, 4 of neCRSwNP, and 6 of eCRSwNP) were prepared into single-cell suspensions. Mass cytometry flow detection was performed using a combination of 42 molecular markers to analyze the differences in cell subpopulations among the groups. Data were analyzed using GraphPad Prism 9.Results:Based on the mass cytometry flow results, cells from control, CRSsNP, neCRSwNP, and eCRSwNP were divided into seven main cell subgroups, with detailed subgrouping of T/NK cells and myeloid cells. In T/NK cells, compared with the control group, the number of NK CD56bright cells increased in the CRSsNP group, while NK CD56dim cells decreased; compared with the CRSsNP group, the eCRSwNP group showed a decrease in NKT cells and CD4 +Tem cells; compared with the CRSsNP group, the eCRSwNP group showed a significant increase in CD25 expression within Treg cells; compared with the CRSsNP group, the eCRSwNP group showed a significant decrease in Tbet expression in CD8 +Teff cells and CD8 +TRM cells; in eCRSwNP, the expression of CD103 in CD8 +TRM cells was significantly lower than in CRSsNP. In myeloid cells, compared with the other three groups, the eCRSwNP group showed a significant increase in macrophages and a significant decrease in cDC1 and monocytes; compared with the control group and CRSsNP, the eCRSwNP group also showed a significant decrease in resting state macrophages; compared with the CRSsNP group, the eCRSwNP group showed a significant decrease in the level of CX3CR1 within cDC2 and monocytes; the expression levels of NLRP3 in cDC2 and macrophages in the eCRSwNP group were significantly higher than in the other three groups; compared with the control group, the expression levels of Gata3 in cDC2 and macrophages in the eCRSwNP group were also significantly increased; additionally, the expression of CCR2 within monocytes in the eCRSwNP group was lower than in the CRSsNP group. In ILC, compared with the control group, the expression of CCR6 decreased in the eCRSwNP group. Conclusions:Compared with the control group, CRSsNP, and neCRSwNP, eCRSwNP shows an increase in macrophage number, a decrease in cDC1 and resting state macrophages, and depletion of protective cells CD103 +CD8 +TRM. Additionally, the expression levels of CCR2 and CX3CR1 in monocytes of eCRSwNP are decreased.
