Role of Mast and Goblet Cells in the Pathogenesis of Nasal Polyps
Notice bibliographique
Résumé
In this study, the role of mast and goblet cells and eosinophils in the pathogenesis of nasal polyposis was investigated. The study group consisted of 28 adult patients (15 males, 13 females) with nasal polyposis who underwent functional endoscopic sinus surgery (FESS). All patients in the study group were examined with a questionnaire, an otolaryngologic examination, an endoscopic examination with 0 degrees and 30 degrees endoscopes, Waters' graphy, and axial and coronal computed tomography of the paranasal sinuses. The control group consisted of 10 adult patients without nasal polyp (7 males and 3 females) who underwent septoplasty. They gave written approval to enter the study. The polyp specimens from the study group were excised from four regions: the maxillary sinus, ethmoid sinus, sphenoid sinus, and nasal cavity. They were examined at x400 magnification by light microscopy, and only the slides with polypoid tissue were included in the study. Slides including a chronic inflammatory process without polypoid tissue were excluded from the study. The control group was composed of the slides of specimens from the inferior turbinate. Forty slides (10 in each group) in the study group and 10 slides in the control group were included in the study. The surgical specimens from the study and control groups were examined with a histochemical staining technique. In every surgical specimen, the type of epithelium and the numbers of goblet and mast cells and eosinophils were calculated in x400 high-magnification field in 10 areas on light microscopy, as well as the mean number of these cells, and for mast cells separately, cell count in the epithelium and the stromal layer of polyp tissue and total mast cell count, including both epithelial and stromal mast cells, were identified. Goblet cells, mast cells, and inflammation with eosinophils were observed in all sinonasal mucosa. The common epithelial type in the polyp tissue was pseudostratified ciliated cylindric epithelium, which contains goblet cells. Goblet cell numbers in the maxillary, ethmoid, and sphenoid sinuses and nasal cavity were found to be significantly higher than in the control group (p < .05). For total mast cell and eosinophil count, no statistically significant difference was found between all five groups. In each group, there was no statistically significant difference between goblet and mast cells. Increased goblet cells in sinonasal polyps indicated that systemic factors also affect nasal polyposis as much as local factors, such as airflow and mucosal contact. Surgical treatment of sinonasal polyps by FESS causes more sufficient air ventilation in the nasal cavity and paranasal sinuses. Therefore, the goblet cell density will decrease because of the exposure of the mucosal surfaces to the air. In particular, FESS and then the appropriate medical treatment may decrease the recurrence rates and increase the patient's comfort. The significantly increased goblet cell count in the sinonasal mucosa demonstrated the importance of these cells in the pathogenesis of nasal polyposis. Also, mast cells and eosinophils may have a role in the inflammatory processes, leading to nasal polyposis formation.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».