Identifying hub genes of calcific aortic valve disease and revealing the immune infiltration landscape based on multiple WGCNA and single-cell sequence analysis

被引:6
|
作者
Wang, Kan [1 ]
Zheng, Qiang [1 ]
Liu, Xing [1 ]
Geng, BingChuan [1 ]
Dong, NianGuo [1 ]
Shi, JiaWei [1 ]
机构
[1] Huazhong Univ Sci & Technol, Union Hosp, Tongji Med Coll, Dept Cardiovasc Surg, Wuhan, Hubei, Peoples R China
来源
FRONTIERS IN IMMUNOLOGY | 2022年 / 13卷
基金
中国国家自然科学基金;
关键词
calcific aortic valve diseases (CAVD); DEGs; weighted gene co-expression network analysis (WGCNA); single cell sequence (scRNA-seq); immune infiltration; bioinformatics; EXPRESSION PROFILE; INFLAMMATION; STENOSIS; TRANSCATHETER; REPLACEMENT; PATHWAYS; S100A8; RISK;
D O I
10.3389/fimmu.2022.1035285
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
BackgroundCalcific aortic valve disease (CAVD) is a progressive fibrocalcific disease that can be treated only through valve replacement. This study aimed to determine the role of hub genes and immune cell infiltration in CAVD progression. MethodsIn this study, bioinformatics analysis was used to identify hub genes involved in CAVD. The datasets were downloaded from the Gene Expression Omnibus (GEO) database. Gene expression differences were evaluated via pathway and Gene Ontology analyses. Weighted gene co-expression network analysis (WGCNA) and differentially expressed genes were used to screen hub genes. The CIBERSORT algorithm was used to compare immune infiltration into the calcified aortic valve based on the hub genes between high- and low-expression groups. We also performed single-cell RNA sequencing based on six different human aortic valve leaflets. The expression of hub genes was identified in human and mouse samples through quantitative real-time polymerase chain reaction (qPCR), immunohistochemistry, immunofluorescence, and ELISA, and clinical features of the patients were investigated. ResultsIn total, 454 differentially expressed genes were obtained from the GEO database. WGCNA was used to find 12 co-expression modules in the Array Express database, of which one hub module (brown module) was most correlated with CAVD. Two hub genes were identified after combining the differentially expressed genes S100A8 and S100A9. Regarding these genes, the immune infiltration profiles varied between high- and low-expression groups. Compared with that in the low hub gene expression group, the high hub gene expression group had a higher proportion of activated NK cells (p < 0.01) and M1 macrophages (p < 0.05). The expression of S100A8 and S100A9 was consistent with single-gene RNA sequencing results, confirming that the expression levels of these two hub genes are significantly upregulated in patients with CAVD (p < 0.01). Furthermore, these results were verified using mouse and human samples by performing immunofluorescence, immunohistochemistry, qPCR, and ELISA analyses. Finally, the localization of S100A8 and S100A9 in monocytes and macrophages was confirmed via immunofluorescence using human aortic valves. ConclusionThese results demonstrate that S100A8 and S100A9 are two hub genes involved in CAVD, which might play an important role in its development through immune-related signaling pathways.
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页数:21
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