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基于临床特征和鼻腔分泌物生物标志物对慢性鼻-鼻窦炎伴鼻息肉患者进行炎症表型分类

Identification of Inflammatory Endotypes by Clinical Characteristics and Nasal Secretion Biomarkers in Chronic Rhinosinusitis with Nasal Polyps.

机构信息

Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Insititue of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

出版信息

Int Arch Allergy Immunol. 2023;184(10):955-965. doi: 10.1159/000530193. Epub 2023 May 30.

Abstract

INTRODUCTION

The emergency of biologics and surgical techniques targeting the specific inflammatory endotype in chronic rhinosinusitis with nasal polyps (CRSwNP) asks for efficient identification of patients with different endotypes. Although mucosal IL-4, IL-5, IL-13, and IgE have been used to define type 2 (T2) inflammation, the optimal one remains unclear. In this study, we aimed to determine the optimal anchor for T2 inflammation and identify clinical characteristics and nasal secretion biomarkers predicting different endotypes in CRSwNP.

METHODS

Six mediators in sinonasal tissue and 36 mediators in nasal secretion samples were detected by the Bio-Plex suspension array system. Mucosal IFN-γ and IL-17A levels were used to define the T1 and T3 endotype, respectively. The efficacy of mucosal IL-4, IL-5, IL-13, and IgE to define the T2 endotype was compared. The power of clinical characteristics and nasal secretion biomarkers to predict the T1, T2, and T3 endotype was analyzed.

RESULTS

Among mucosal IL-4, IL-5, IL-13, and IgE, IL-13 was the best one to coincide with the expression of other T2 biomarkers. A combination of atopy, facial pain symptom score, ethmoid/maxillary computed tomography score ratio, and blood eosinophil percentage had a moderate predictive performance for T2 endotype (area under the receiver operating curve [AUC] = 0.815), comparable to that of nasal secretion IL-5 (AUC = 0.819). For the T3 endotype, nasal secretion IL-1Rα identified it with an AUC value of 0.756. No efficient marker for the T1 endotype was found.

CONCLUSION

IL-13 is a primary anchor for the T2 endotype in CRSwNP. Clinical characteristics and nasal secretion biomarkers are helpful for identifying the T2 and T3 endotype of CRSwNP.

摘要

简介

生物制剂和针对慢性鼻-鼻窦炎伴鼻息肉(CRSwNP)特定炎症表型的手术技术的出现,要求对不同表型的患者进行有效的识别。尽管鼻黏膜中的 IL-4、IL-5、IL-13 和 IgE 已被用于定义 2 型(T2)炎症,但最佳指标仍不明确。本研究旨在确定 T2 炎症的最佳标志物,并确定预测 CRSwNP 不同表型的临床特征和鼻分泌物生物标志物。

方法

采用 Bio-Plex 悬浮阵列系统检测鼻黏膜组织中的 6 种介质和鼻分泌物样本中的 36 种介质。鼻黏膜 IFN-γ 和 IL-17A 水平分别用于定义 T1 和 T3 表型。比较了鼻黏膜 IL-4、IL-5、IL-13 和 IgE 定义 T2 表型的效果。分析了临床特征和鼻分泌物生物标志物预测 T1、T2 和 T3 表型的能力。

结果

在鼻黏膜的 IL-4、IL-5、IL-13 和 IgE 中,IL-13 与其他 T2 生物标志物的表达最为吻合。变应性、面部疼痛症状评分、筛窦/上颌窦 CT 评分比和血嗜酸性粒细胞百分比的组合对 T2 表型具有中等的预测性能(接受者操作特征曲线下面积[AUC] = 0.815),与鼻分泌物 IL-5(AUC = 0.819)相当。对于 T3 表型,鼻分泌物中的 IL-1Rα 可识别其 AUC 值为 0.756。未发现 T1 表型的有效标志物。

结论

IL-13 是 CRSwNP 中 T2 表型的主要标志物。临床特征和鼻分泌物生物标志物有助于识别 CRSwNP 的 T2 和 T3 表型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b21d/10614570/ccd0f84d0464/iaa-2023-0184-0010-530193_F01.jpg

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