Nasal polyposis is a chronic inflammatory disease of the nasal mucosa. The etiology and the mechanisms of formation of nasal polyps are still not clear. Interleukin (IL)-18 is a novel proinflammatory cytokine that plays important roles in regulating immune inflammatory responses. However, the presence of IL-18 in human nasal mucosa and its roles in the inflammatory process of nasal polyps has not been studied yet. In this study, it was the first time to investigate the expression of IL-18 in human nasal mucosa and nasal polyps, and its potential function in the formation of nasal polyps. Surgical samples were analyzed by Western blot and immunohistochemistry to evaluate the expression and location of IL-18, and its correlated cytokines, IL-4, and IFN-γ. Furthermore, the airway epithelial cell line, A549, was used to investigate the mutual regulation of IFN-γ, IL-4, and IL-18. IFN-γ, IL-4, and IL-18 were all highly expressed in the epithelial cells, submucosal glands, and infiltrating inflammatory cells in the nasal polyp tissues, comparing with the control samples. Especially, the expression of IL-18 was upregulated significantly in nasal polyp tissues compared with control tissues. In addition, IL-18 was expressed in A549 cells in response to lipopolysaccharide and IL-4. Our data suggest that nasal epithelial cells are involved in the pathogenesis of nasal polyps formation and potentially via the secretion of IL-18, which is likely to play important roles in the formation of nasal polyps.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/ar.21385 | DOI Listing |
Int Forum Allergy Rhinol
January 2025
Department of Otolaryngology, Head and Neck Surgery, Stanford University School of Medicine, Stanford, California, USA.
Background: Steroid rinses and steroid-eluting stents are both options for preventing postoperative stenosis after frontal sinus surgery. This study aimed to assess whether steroid-eluting stents offer added benefit over steroid rinses alone in postoperative healing and long-term frontal sinus patency.
Methods: A randomized controlled trial enrolled patients with CRS with nasal polyps (CRSwNP) who underwent surgery for bilateral and equal frontal sinusitis after failing prior medical therapy.
Int Forum Allergy Rhinol
January 2025
Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, California, USA.
Background: We developed and assessed the performance of a machine learning model (MLM) to identify, classify, and segment sinonasal masses based on endoscopic appearance.
Methods: A convolutional neural network-based model was constructed from nasal endoscopy images from patients evaluated at an otolaryngology center between 2013 and 2024. Images were classified into four groups: normal endoscopy, nasal polyps, benign, and malignant tumors.
Int Forum Allergy Rhinol
January 2025
Center of Excellence in Otolaryngology-Head & Neck Surgery, Rajavithi Hospital, Bangkok, Thailand.
Introduction: Tissue eosinophil counts (TEC) might serve as a biomarker linking chronic rhinosinusitis (CRS) and the presence of adult-onset asthma. This study aimed to determine if TEC in sinus mucosa/polyps in CRS patients is an independent indicator of asthma and to identify its optimal cut-off point.
Methods: This cross-sectional study was conducted on primary CRS patients scheduled for surgery.
Cochrane Database Syst Rev
January 2025
Department of Otorhinolaryngology, Amsterdam University Medical Centre, Amsterdam, Netherlands.
Background: NSAID-exacerbated respiratory disease (N-ERD) is a hypersensitivity to non-steroidal anti-inflammatory drugs (NSAIDs), such as aspirin or ibuprofen, accompanied by chronic rhinosinusitis (with or without nasal polyps) or asthma. The prevalence of hypersensitivity to NSAIDs is estimated to be 2%. The first line of treatment is the avoidance of NSAIDs.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Department of Microbiology, Faculty of Medicine, Khon Kaen University, Mueang Khon Kaen, Khon Kaen 40002, Thailand.
Sinonasal squamous cell carcinoma (SNSCC) is a rare tumor with a high 5-year mortality rate. However, proteomic technologies have not yet been utilized to identify SNSCC-associated proteins, which could be used as biomarkers. In this study, we aimed to discover a biomarker to predict SNSCC patients using proteomic analysis integrated with machine learning models.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!