科研速览 · Science Skim继续刷下去 · Keep skimming →
◆ Cells2026-08-06

Clinical-Cytological Grading in Chronic Rhinosinusitis with Nasal Polyps: An Integrated Framework for Precision Medicine.

Matteo Gelardi

原始摘要(英文原文)· Original abstract
Chronic rhinosinusitis with nasal polyps (CRSwNP) is a heterogeneous inflammatory disease in which type 2 inflammation, epithelial dysfunction, and tissue remodeling determine severity, recurrence, and treatment response. Although molecular biomarkers have clarified disease endotypes, their routine use remains limited by cost, availability, and invasiveness. Nasal cytology offers a simple, repeatable, and minimally invasive method to assess-at the mucosal surface-both epithelial morphology and the dominant inflammatory infiltrate, whether neutrophilic, eosinophilic, mast cell, or mixed. Clinical-Cytological Grading (CCG) integrates the dominant cytological pattern with selected comorbidities, including asthma, allergy, and NSAID-exacerbated respiratory disease (N-ERD), into a weighted clinical-cytological framework. In the founding cohort, the highest relapse association was observed when mixed eosinophil-mast cell inflammation coexisted with asthma and N-ERD. This review discusses the rationale, clinical relevance, and translational applications of CCG in CRSwNP, addressing eosinophilic and mixed mast cell-eosinophilic inflammation, epithelial morphology, disease recurrence, difficult-to-treat phenotypes, biologic monitoring, and the operative dialogue between nasal cytology and histopathology. By linking cytological findings with selected clinical comorbidities, CCG may support biologically informed patient characterization and may prompt targeted mast cell assessment in tissue. However, its prognostic accuracy, incremental clinical value, and role in therapeutic decision-making require independent external validation.
读原文 · Read the paper ↗

AI 追问PRO

登录后使用 AI 追问

讨论区

登录后参与讨论

相关论文 · Related

Clinical-Cytological Grading in Chronic Rhinosinusitis with Nasal Polyps: An Integrated Framework for Precision Medicine. — 科研速览 Science Skim