摘要
目的 本研究利用GEO数据库中的RNA测序(RNA sequencing,RNA-seq)数据,筛选出对嗜酸性粒细胞型慢性鼻窦炎伴鼻息肉(eosinophilic chronic rhinosinusitis with nasal polyps,ECRSwNP)具有潜在诊断价值的基因。方法 共获得3个数据集数据,分别根据CST1和CLC基因的表达水平将样本分为ECRSwNP和非嗜酸性粒细胞型慢性鼻窦炎伴鼻息肉(nonECRSwNP)两组。使用R软件及算法建立ECRSwNP的诊断模型并检测其性能。结果 将每个数据集均分为两组GSE136825(ECRSwNP 7、nonECRSwNP 19),GSE72713(ECRSwNP 3、nonECRSwN 3),GSE179265(ECRSwNP 11、nonECRSwNP 2)。基于支持向量机(support vector machine,SVM)算法构建的上调基因模型(ADH1C、CCL26、HRH1、NOS2)和下调基因模型(LCN2、MUC5B、PLAT、TMEM45A、XDH)的ECRSwNP诊断性能表现出色。结论 基于SVM模型鉴定出的基因可能成为无创诊断ECRSwNP的生物学标志物,也可能在ECRSwNP发病机制中扮演关键角色。
OBJECTIVE To utilize RNA sequencing(RNA-seq) data from the GEO database to identify genes with potential diagnostic value for eosinophilic chronic rhinosinusitis with nasal polyps(ECRSwNP).METHODS Three datasets were obtained,and samples were divided into ECRSwNP and nonECRSwNP groups based on the expression levels of CST1and CLC.A diagnostic model for ECRSwNP was established using R software and algorithms,and its accuracy was assessed.RESULTS The samples were grouped as follows:GSE136825(ECRSwNP 7,nonECRSwNP 19),GSE72713(ECRSwNP 3,nonECRSwNP 3),and GSE179265(ECRSwNP 11,nonECRSwNP 2).The diagnostic performance of the upregulated gene model(ADH1C,CCL26,HRH1,NOS2) and the downregulated gene model(LCN2,MUC5B,PLAT,TMEM45A,XDH)constructed based on the support vector machine(SVM) algorithm for ECRSwNP was excellent.CONCLUSION The diagnostic genes identified by the SVM model may serve as biological markers for the non-invasive diagnosis of ECRSwNP and potentially play a crucial role in the pathogenesis of ECRSwNP.
作者
黄雨晴
孟琛
廖健宏
闫冰
张罗
王成硕
HUANG Yuqing;MENG Chen;LIAO Jianhong;YAN Bing;ZHANG Luo;WANG Chengshuo(Department of Otolaryngology Head and Neck Surgery,Key Laboratory of Otolaryngology Head and Neck Surgery(Capital Medical University),Beijing Institute of Otolaryngology,Engineering Research Center of Ministry of Education,Beijing Key Laboratory of Nasal Diseases,Research Unit of Diagnosis and Treatment of Chronic Nasal Diseases,Chinese Academy of Medical Sciences,Beijing Tongren Hospital,Capital Medical University,Beijing,100730,China;Department of Allergy,Beijing Tongren Hospital,Capital Medical University,Beijing,100730,China)
出处
《中国耳鼻咽喉头颈外科》
CSCD
2023年第12期781-784,共4页
Chinese Archives of Otolaryngology-Head and Neck Surgery
基金
国家自然科学基金(82025010、81630023、82171108、81900917、81870698、82301329)。
