新医学2026，Vol.57Issue(6)：593-600,8.DOI:10.12464/j.issn.0253-9802.2026-0391
鼻黏膜上皮紧密连接自动化多维量化评估工具的开发及其在变应性鼻炎中的应用
An automated multidimensional quantitative assessment tool for tight junctions in nasal mucosal epithelium:development and application in allergic rhinitis
摘要
Abstract
Objective To develop a deep learning-based plug-in for automated,multidimensional quantitative analysis of tight junctions(TJs),addressing methodological bottlenecks in epithelial barrier morphological analysis,such as strong subjectivity and low throughput,and to validate the tool using an in vitro model of allergic rhinitis(AR).Methods Based on the ImageJ platform,an automated multidimensional image-analysis workflow was established by integrating Cellpose-based single-cell segmentation,fluorescence quantification within region of interest,and Ridge Detection algorithms for linear-structure detection.Primary human nasal epithelial cells(hNECs)were used as the model and were stimulated with interleukin-13(IL-13)and interleukin-17A(IL-17A),respectively,followed by immunofluorescence staining and transmission electron microscopy.The consistency between the automated plug-in and conventional manual analysis was evaluated,and the extent of TJ disruption induced by inflammatory cytokines was quantitatively assessed.Results The plug-in showed strong correlations with manual analysis across four core dimensions,including fluorescence intensity(r=0.995 4,P＜0.000 1),network coverage area(r=0.996 4,P＜0.000 1),cell perimeter,and intercellular gap width(r=0.997 9,P＜0.000 1),and intercellular gap width(r=0.972 7,P＜0.000 1).Both IL-13 and IL-17A significantly disrupted the TJ network structure of hNECs,manifested by increased cell perimeter and abnormally widened intercellular gaps,and the plug-in accurately captured and quantified these pathological changes.Conclusion The automated multidimensional TJs quantification tool developed in this study provides a reliable methodological support for standardized and automated assessment of the physical barrier function of the respiratory epithelium.关键词
深度学习/紧密连接/白细胞介素13/白细胞介素17A/变应性鼻炎Key words
Deep learning/Tight junctions/Interleukin-13/Interleukin-17A/Allergic rhinitis引用本文复制引用
邱惠军,李丽菁,黄雪琨,杨钦泰..鼻黏膜上皮紧密连接自动化多维量化评估工具的开发及其在变应性鼻炎中的应用[J].新医学,2026,57(6):593-600,8.基金项目
国家自然科学基金青年项目(82401331) （82401331）
国家自然科学基金面上项目(82571289) （82571289）
