Blood transcriptomics reveal systemic eosinophilic and neutrophilic inflammation patterns in patients with nasal polyps

被引:0
|
作者
Liu, Wenqin [1 ]
Wang, Kanghua [1 ]
Guan, Haoyan [2 ]
Ma, Ling [3 ]
Cui, Yueming [2 ]
Liu, Chang [1 ]
Shi, Jianbo [2 ]
Fan, Yunping [1 ]
Sun, Yueqi [1 ]
机构
[1] Sun Yat Sen Univ, Affiliated Hosp 7, Dept Otolaryngol, 628 Zhenyuan Rd, Shenzhen 518107, Guangdong, Peoples R China
[2] Sun Yat sen Univ, Affiliated Hosp 1, Dept Otolaryngol, 58 Zhongshan Rd 2, Guangzhou 510080, Guangdong, Peoples R China
[3] Univ Hong Kong, Shenzhen Hosp, Dept Otorhinolaryngol, Shenzhen, Peoples R China
关键词
rhinosinusitis; nasal polyp; transcriptome; endotype; CHRONIC RHINOSINUSITIS; PERIPHERAL-BLOOD; SERUM PERIOSTIN; SEVERE ASTHMA; BIOMARKERS; PHENOTYPES; ENDOTYPES; SIGNATURE;
D O I
10.4193/Rhin24.248
中图分类号
R76 [耳鼻咽喉科学];
学科分类号
100213 ;
摘要
Background: Chronic rhinosinusitis with nasal polyps (CRSwNP) is a chronicsinonasal disease characterized by heterogeneous inflammation. However, the presence of systemic inflammation heterogeneity in CRSwNP patients remains unknown. This study aims to profile transcriptomic alterations in the blood of CRSwNP patients and characterize the CRSwNP heterogeneity based on blood transcriptomic biomarkers. Methodology: Patients with CRSwNP were prospectively recruited from three hospitals and chronologically divided into exploratory (n=123) and independent validation (n=46) cohorts. Transcriptomic profiles were generated by whole blood mRNA sequencing and subjected to patient clustering, differential expression, and pathway analysis. Differences in immune pattern and clinicopathologic features between clusters were assessed. A transcriptomic signature was defined and applied to an independent cohort to validate the findings. Results: CRSwNP patients showed diverse blood transcriptomic profiles versus healthy controls, or when stratified by tissue and blood eosinophils and asthma comorbidity. Transcriptome-wide correlation analysis revealed a transcriptional signature associated with blood eosinophil levels, consisting of nine T2-related genes (CLC, SIGLEC8, ALOX15, IL5RA, PTGDR2, CCL23, CCR3, EPX and IL1RL1).Three distinct clusters with differing systemic eosinophilic and neutrophilic inflammation patterns and asthma comorbidity were identified based on transcriptomic profiling of T2 and T1/3-related blood biomarkers. A 36-gene signature was developed by machine learning and accurately predicted the three CRSwNP subtypes. Validation on an independent cohort confirmed the prediction robustness. Conclusions: There is heterogeneous systemic inflammation associated with eosinophilic and neutrophilic patterns in patients with CRSwNP. Endotyping based on blood transcriptomic biomarkers might lead to more personalized treatment strategies for CRSwNP in the future.
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页数:44
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