题名 | Identification of core genes related to severity of respiratory syncytial virus bronchiolitis based on RNA sequencing data |
其他题名 | 基于 RNA 测序数据筛选与呼吸道合胞病毒毛细支气管炎疾病严重程度相关的核心基因 |
作者 | |
发表日期 | 2022-05-31 |
发表期刊 | Chinese Journal of Microbiology and Immunology (China); 影响因子和分区 |
语种 | 中文 |
原始文献类型 | Article |
关键词 | Bronchiolitis Disease severity Respiratory syncytial virus RNA-sequencing Weighted gene co-expression network analysis |
摘要 | Objective To identify the core genes related to the disease severity of respiratory syncytial virus (RSV) bronchiolitis in children using RNA sequencing (RNA-seq) and weighted gene co-expression network analysis (WGCNA), aiming to provide reference for predicting the condition of RSV infection. Methods Twenty-two patients admitted to the Second Affiliated Hospital of Wenzhou Medical University with RSV bronchiolitis from October 1, 2019 to February 29, 2020 were enrolled as the case group. They were divided into three groups based on the severity of the disease: mild group, moderate group and severe group. Twenty-two healthy children were selected as the control group. Total RNA was extracted from whole blood leukocytes and analyzed by RNA-seq to compare the differentially expressed genes (DEGs) between children with RSV bronchiolitis and healthy children. The gene co-expression modules related to disease severity and biological indicators for disease severity assessment were identified. Results The median age of the 22 patients (19 males and 3 females) was 3 months. The median age of the 22 healthy children (14 males and 8 females) was 4 months. There was no significant difference in age or gender between the two groups. There were 8 cases in the mild group, 7 cases in the moderate group and 7 cases in the severe group. Through significance analysis, 416 DEGs were found in the mild group, 586 in the moderate group and 846 in the severe group. According to WGCNA analysis, 10 co-expression modules were found, among which brown module (r=0. 62, P<0. 001) was significantly correlated with disease severity. The protein-protein interaction network of DEGs in brown module was constructed and the top 30 core genes were selected according to the connectivity of gene nodes, among which the genes with high correlation were RBX1 and PSMA7. The expression of RBX1 and PSMA7 genes was up-regulated in the severe group, but their expression in the mild and moderate groups was not significantly different from that in the control group. Conclusions RBX1 and PSMA7 genes might be biological predictors of disease severity in RSV bronchiolitis. |
资助项目 | Basic Scientific Research Project of Wenzhou[Y20190437];Second Affiliated Hospital and Yuying Children′s Hospital of Wenzhou Medical University[18331103];Basic Public Welfare Technology Research Project of Zhejiang Province[LGF20H010004]; |
ISSN | 0254-5101 |
卷号 | 42期号:5页码:396-403 |
DOI | 10.3760/cma.j.cn112309-20210825-00278 |
收录类别 | SCOPUS |
URL | 查看原文 |
SCOPUSEID | 2-s2.0-85133349039 |
通讯作者地址 | [Lin, Dong]Department of Pediatric Pulmonology,The Second Affiliated Hospital and Yuying Children′ s Hospital of Wenzhou Medical University,Wenzhou,325027,China |
Scopus学科分类 | Microbiology;Immunology;Virology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://kms.wmu.edu.cn/handle/3ETUA0LF/213993 |
专题 | 附属第二医院 基因组医学研究院 |
通讯作者 | Lin, Dong |
作者单位 | 1.Department of Pediatric Pulmonology,The Second Affiliated Hospital and Yuying Children′ s Hospital of Wenzhou Medical University,Wenzhou,325027,China; 2.Institute of Genomic Medicine,Wenzhou Medical University,Wenzhou,325025,China |
第一作者单位 | 附属第二医院 |
通讯作者单位 | 附属第二医院 |
第一作者的第一单位 | 附属第二医院 |
推荐引用方式 GB/T 7714 | Tingting, Weng,Leying, Wang,Haiyan, Li,et al. Identification of core genes related to severity of respiratory syncytial virus bronchiolitis based on RNA sequencing data[J]. Chinese Journal of Microbiology and Immunology (China);,2022,42(5):396-403. |
APA | Tingting, Weng, Leying, Wang, Haiyan, Li, Chunchan, Liang, Zhenwei, Liu, & Lin, Dong. (2022). Identification of core genes related to severity of respiratory syncytial virus bronchiolitis based on RNA sequencing data. Chinese Journal of Microbiology and Immunology (China);, 42(5), 396-403. |
MLA | Tingting, Weng,et al."Identification of core genes related to severity of respiratory syncytial virus bronchiolitis based on RNA sequencing data".Chinese Journal of Microbiology and Immunology (China); 42.5(2022):396-403. |
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