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- Title
Predictive Significance of Charcot–Leyden Crystals for Eosinophilic Chronic Rhinosinusitis With Nasal Polyps.
- Authors
Liu, Chang; Yan, Bing; Qi, Sihan; Zhang, Yunyun; Zhang, Luo; Wang, Chengshuo
- Abstract
Background: Eosinophilic chronic rhinosinusitis with nasal polyps (ECRSwNP) is a distinct phenotype of chronic rhinosinusitis with nasal polyps (CRSwNP), with many significantly different clinical features from non-eosinophilic chronic rhinosinusitis with nasal polyps (non-ECRSwNP). Thus, identification of subtypes is crucial for precise treatment. Immunohistology is a reliable way to present the subtypes; however, the results mainly depend on the observation of pathologist, and the method with automatic readout and the corresponding biomarkers is lacking. Objective: The purpose of our research was to explore the predictive value of quantitative reverse transcription polymerase chain reaction (qRT-PCR) as an alternative method and messenger RNA (mRNA) expression of Charcot–Leyden crystals (CLC) as a corresponding target for ECRSwNP, which may benefit the automatized judgment. Method: CLC mRNA levels in tissue samples from 48 CRSwNP patients and 10 controls were evaluated by quantitative real-time PCR. Hematoxylin and eosin staining was performed for histological assessment of CRSwNP and subtyping as ECRSwNP and non-ECRSwNP. Factors associated with ECRSwNP were determined with logistic regression analysis, the predictive value was presented by a receiver operating characteristic (ROC) curve, and optimal cutoff points of the predictors were identified as the Youden index. Results: mRNA level of CLC in ECRSwNP was significantly elevated compared to either non-ECRSwNP group or control group, with no significant difference between non-ECRSwNP patients and controls. CLC mRNA levels were positively correlated with percentages of tissue eosinophil and peripheral blood eosinophil (P <.001, r =.683; P =.003, r =.420, respectively). Logistic regression analysis revealed CLC mRNA level and blood eosinophil percentages were prediagnosis factors (P =.007, P =.045, respectively) for ECRSwNP. ROC curves analysis indicated the area under the curve (AUC) of CLC mRNA level was 0.948 which was superior to the blood eosinophil percentage (AUC = 0.797; P =.044) as an optimal biomarker to predict ECRSwNP. Conclusions: CLC mRNA levels based on the qRT-PCR may serve as a reliable and alternative method for the identification of ECRSwNP.
- Subjects
NASAL polyps; REVERSE transcriptase polymerase chain reaction; SINUSITIS; LOGISTIC regression analysis; RECEIVER operating characteristic curves
- Publication
American Journal of Rhinology & Allergy, 2019, Vol 33, Issue 6, p671
- ISSN
1945-8924
- Publication type
Article
- DOI
10.1177/1945892419860646