scholarly journals Erratum: In-Depth, Proteomic Analysis of Nasal Secretions from Patients With Chronic Rhinosinusitis and Nasal Polyps

2020 ◽  
Vol 12 (4) ◽  
pp. 744
Author(s):  
Yi-Sook Kim ◽  
Dohyun Han ◽  
JinYoup Kim ◽  
Dae Woo Kim ◽  
Yong-Min Kim ◽  
...  
2019 ◽  
Vol 11 (5) ◽  
pp. 691 ◽  
Author(s):  
Yi-Sook Kim ◽  
Dohyun Han ◽  
JinYoup Kim ◽  
Dae Woo Kim ◽  
Yong-Min Kim ◽  
...  

2017 ◽  
Vol 139 (2) ◽  
pp. AB179 ◽  
Author(s):  
Mingyu Lee ◽  
Do Hyun Han ◽  
Dae Woo Kim ◽  
Yong-Min Kim ◽  
Ji-Hun Mo ◽  
...  

2018 ◽  
Vol 8 (12) ◽  
pp. 1438-1444 ◽  
Author(s):  
Sarina K. Mueller ◽  
Angela L. Nocera ◽  
Simon T. Dillon ◽  
Dawei Wu ◽  
Towia A. Libermann ◽  
...  

2020 ◽  
Vol 182 (1) ◽  
pp. 65-75
Author(s):  
Di Wu ◽  
Bing Yan ◽  
Yang Wang ◽  
Luo Zhang ◽  
Chengshuo Wang

<b><i>Introduction:</i></b> The recurrence occurs frequently among patients with chronic rhinosinusitis with nasal polyps (CRSwNP), and predictors that could be conveniently detected during practice in outpatient service are needed. <b><i>Objective:</i></b> We aimed to illustrate that the concentration of Charcot-Leyden crystal (CLC) in nasal secretions can effectively and noninvasively predict polyp recurrence. <b><i>Methods:</i></b> 108 patients with CRSwNP were divided into recurrence (<i>n</i> = 68) and recurrence-free (<i>n</i> = 40) groups. Preoperative CLC concentrations in nasal secretions were collected and detected by ELISA. Polyp tissues were harvested during biopsy or endoscopic sinus surgery and were evaluated for inflammatory cells by histopathological staining. Demographic information and the clinical characteristics of each patient were reviewed for associations with recurrence. Binary logistic regression analysis was performed to determine predictive factors for polyp recurrence. Receiver operating characteristic (ROC) curves and the Youden index were performed to determine their predictive values. Survival analysis was performed to compare recurrence risk of patients with different CLC concentrations. <b><i>Results:</i></b> Sixty-eight (62.96%) patients developed recurrence during a 12- to 33-month postoperative follow-up. CLC concentrations in nasal secretions were positively correlated with eosinophil percent in polyp tissue and peripheral blood and were significantly higher in patients of the recurrence group than in the patients of the recurrence-free group (<i>p &#x3c;</i> 0.001). Binary logistic regression and ROC curve demonstrated that CLC protein in nasal secretions is predictive of polyp recurrence. According to the Youden index, a CLC concentration of 34.24 ng/mL can predict postoperative polyp recurrence with 92.6% sensitivity and 87.5% specificity. Patients with CLC concentrations higher than the cutoff value yielded a higher risk of recurrence (<i>p &#x3c;</i> 0.001, HR = 11.31, 95% CI: 6.41–19.98). <b><i>Conclusions:</i></b> CLC protein in nasal secretions may serve as a promising noninvasive biomarker to predict CRSwNP recurrence.


2020 ◽  
Author(s):  
Yi-Sook Kim ◽  
Dohyun Han ◽  
Ji-Hun Mo ◽  
Yong-Min Kim ◽  
Dae Woo Kim ◽  
...  

AbstractBackgroundAntibiotics are commonly prescribed to treat chronic rhinosinusitis (CRS); however, the effects of antibiotics on the microbiome and secreted proteome remain unknown in regard to CRS.ObjectiveWe analyzed the effects of antibiotics on the nasal microbiome and secreted proteome in the context of CRS using multi-omic analysis.MethodsNasal secretions were collected from 29 control, 30 CRS patients without nasal polyps (CRSsNP), and 40 CRS patients with nasal polyps (CRSwNP). A total of 99 subjects were divided into two groups that included subjects who had taken antibiotics 3 months prior to sampling (ABX) and those who had not (NABX). We performed 16S rDNA sequence analyses and Orbitrap mass spectrometry-based proteomic analyses in data-independent acquisition (DIA) on the nasal secretions. Spearman correlation was used to assess the correlations between the nasal microbiome and secreted proteome.ResultsWe observed a strong association between the nasal microbiome and secreted proteome according to disease status. Antibiotic use reduced differences in the microbial community and secreted proteome according to disease status. Interestingly, in nasal polyp (NP) patients, antibiotics exhibited strong effects not only on the nasal microbiome and the secreted proteome but also on their associations. Additionally, their correlations were strengthened in subjects who had taken antibiotics.ConclusionIntegrative analyses revealed that the correlations between the microbiome and the secreted proteome could be altered and strengthened in subjects who used antibiotics. These findings provide novel insight into the effects of antibiotics on the nasal environment and the host responses in CRS.


2014 ◽  
Vol 128 (3) ◽  
pp. 255-262 ◽  
Author(s):  
S Kariya ◽  
M Okano ◽  
T Oto ◽  
T Higaki ◽  
S Makihara ◽  
...  

AbstractBackground:A close relationship between upper and lower respiratory tract diseases has been reported. However, little is known about pulmonary function in patients with upper respiratory tract diseases.Methods:Pulmonary function was measured in: 68 patients with chronic rhinosinusitis without nasal polyps, 135 patients with chronic rhinosinusitis with nasal polyps, 89 patients with allergic rhinitis and 100 normal control subjects. The relationships between pulmonary function and clinical parameters were assessed. These parameters included radiographic severity of chronic rhinosinusitis, serum total immunoglobulin E levels, concentrations of cytokines in nasal secretions and exhaled nitric oxide levels.Results:The pulmonary function of patients with chronic rhinosinusitis was significantly affected. The level of interleukin-5 in nasal secretions was significantly correlated with pulmonary function in patients with chronic rhinosinusitis.Conclusion:The findings indicated latent obstructive lung function changes in chronic rhinosinusitis patients. The cytokines in nasal secretions might be related to obstructive lung function changes in chronic rhinosinusitis.


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