Chapurin Nikita, Soler Zachary M, Khan Sofia, Mulligan Jennifer K, Ramakrishnan Vijay R, Mace Jess C, Smith Timothy L, Alt Jeremiah A, Mattos Jose L, Rathi Vinay K, Schlosser Rodney J
Department of Otolaryngology-Head and Neck Surgery, University of Florida, Gainesville, Florida, USA.
Division of Rhinology and Endoscopic Skull Base Surgery, Department of Otolaryngology-Head & Neck Surgery, Medical University of South Carolina, Charleston, South Carolina, USA.
Int Forum Allergy Rhinol. 2025 Apr;15(4):411-419. doi: 10.1002/alr.23503. Epub 2024 Dec 30.
Quantitative mucus cytokine analysis to examine the sinonasal microenvironment may bridge the gap between patient-reported outcome measures (PROMs) and empirical measures of inflammation in patients with chronic rhinosinusitis (CRS).
Investigate the correlation between mucus cytokine levels and Sino-Nasal Outcome Test (SNOT-22) scores, including individual subdomains.
Patients with CRS were prospectively recruited between 2016 and 2021 into a multi-institutional observational study. Mucus was collected from the olfactory cleft and evaluated for mucus cytokine biomarkers. Spearman correlations (ρ) between cytokine levels and SNOT-22 scores, including individual subdomains, Lund-Mackay (LM) CT and Lund-Kennedy (LK) endoscopy scores were assessed. Subgroup analysis based on nasal polyp status (CRSsNP-without nasal polyps; CRSwNP-with nasal polyps) was also performed. Linear regression was employed to identify multivariate associations between cytokine expression levels, clinical covariates, and SNOT-22 total and domain scores.
A total of 127 patients were included in the study (CRSsNP = 53, CRSwNP = 74). IL-9 (ρ = 0.196, p < 0.05) was the only biomarker that correlated with the SNOT-22 total score. CRSwNP patients had a higher absolute expression level of Type 2 biomarkers (IgE, IL-5, and IL-13), compared to CRSsNP patients. IgE, IL-5, IL-9, and IL-13 significantly correlated with the SNOT-22 rhinologic subdomain scores (p < 0.001), LM scores, and patient reported sense of smell (Question 21). Notably, subgroup analysis showed that CRSsNP patients also demonstrated significant correlations between Type 2 markers (IL-4, IL-5, IL-9, and IL-13) and SNOT-22 rhinologic subdomain scores.
Type 2 mucus cytokine levels, especially IL-9, correlate with SNOT-22, and the rhinologic SNOT-22 subdomain scores for both CRSsNP and CRSwNP patients.
通过定量分析黏液细胞因子来检测鼻窦微环境，可能会弥合慢性鼻-鼻窦炎（CRS）患者报告的结局指标（PROMs）与炎症实证指标之间的差距。
研究黏液细胞因子水平与鼻窦结局测试（SNOT-22）评分之间的相关性，包括各个子域。
2016年至2021年期间，前瞻性招募CRS患者进入一项多机构观察性研究。从嗅裂收集黏液，并评估黏液细胞因子生物标志物。评估细胞因子水平与SNOT-22评分（包括各个子域）、Lund-Mackay（LM）CT评分和Lund-Kennedy（LK）内镜评分之间的Spearman相关性（ρ）。还根据鼻息肉状态进行亚组分析（CRSsNP-无鼻息肉；CRSwNP-有鼻息肉）。采用线性回归来确定细胞因子表达水平、临床协变量与SNOT-22总分及各域评分之间的多变量关联。
本研究共纳入127例患者（CRSsNP = 53例，CRSwNP = 74例）。IL-9（ρ = 0.196，p < 0.05）是唯一与SNOT-22总分相关的生物标志物。与CRSsNP患者相比，CRSwNP患者的2型生物标志物（IgE、IL-5和IL-13）绝对表达水平更高。IgE、IL-5、IL-9和IL-13与SNOT-22鼻科子域评分（p < 0.001）、LM评分以及患者报告的嗅觉（问题21）显著相关。值得注意的是，亚组分析表明，CRSsNP患者的2型标志物（IL-4、IL-5、IL-9和IL-13）与SNOT-22鼻科子域评分之间也存在显著相关性。
2型黏液细胞因子水平，尤其是IL-9，与SNOT-22相关，并且与CRSsNP和CRSwNP患者的SNOT-22鼻科子域评分相关。
