1. Increased Expression of SERPINB10 Associated with Postoperative Recurrence in Chronic Rhinosinusitis with Nasal Polyps.
- Author
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Deng, Zhenghao, Li, Zhi, She, Yongchuan, and Xie, Bin
- Subjects
NASAL polyps ,EOSINOPHILIA ,ADENOMATOUS polyps ,SINUSITIS ,RECEIVER operating characteristic curves ,LOGISTIC regression analysis ,DISEASE relapse - Abstract
Background. Chronic rhinosinusitis with nasal polyps (CRSwNP) is a common upper airway inflammatory disorder with a high rate of postoperative recurrence. SERPINB10 is a proinflammatory cytokine expressed on epithelial cells, but its role in CRSwNP has not been described. This study is aimed at exploring the SERPINB10 expression in CRSwNP and its relationship with postoperative recidivation. Methods. We recruited 140 individuals, consisting of 60 patients with CRSwNP, 40 patients with chronic rhinosinusitis without nasal polyps (CRSsNP), and 40 healthy controls (HCs). Tissue specimens were collected during the surgery, and SERPINB10 expression was determined by reverse transcription-polymerase chain reaction, western blotting, and immunofluorescence. We determined the tissue SERPINB10 expression levels in CRSwNP and examined its clinical value in predicting postoperative recurrence. Results. We determined that tissue SERPINB10 mRNA and protein levels were increased in the CRSwNP group, especially in the recurrent CRSwNP group, compared with the CRSsNP and HC groups (p < 0.05), and SERPINB10 mRNA levels were correlated with peripheral and tissue eosinophil counts and percentages (p < 0.05). Binary logistic regression analysis and receiver operating characteristic (ROC) curves suggested that the expressions of tissue SERPINB10 mRNA were significantly linked to postoperative recurrence in CRSwNP patients (AUC = 0.741 , p < 0.001). Conclusion. Elevated local SERPINB10 levels in patients with CRSwNP were related to tissue eosinophilic inflammation and disease recurrence. These data suggested that SERPINB10 might contribute to the eosinophilic inflammation in CRSwNP and appeared to be a potential biomarker for the prediction of relapse after surgery. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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