Screening and Identification of the Shared Differentially Expressed Genes in Systemic Lupus Erythematosus and Sjogren's Syndrome Based on GEO Database
10.3969/j.issn.1671-7414.2025.01.007
- VernacularTitle:基于GEO数据库分析筛选系统性红斑狼疮与干燥综合征共有差异表达基因及验证
- Author:
Wentao GUO
1
;
Zhaowei GAO
;
Yan LIU
;
Li LIU
;
Xi WANG
;
Guangjian LU
;
Luyang JIAO
Author Information
1. 新乡医学院第一附属医院,河南新乡 453100;空军军医大学第二附属医院检验科,西安 710038
- Publication Type:Journal Article
- Keywords:
systemic lupus erythematosus;
Sjogren's syndrome;
differentially expressed genes;
bioinformatics analysis
- From:
Journal of Modern Laboratory Medicine
2025;40(1):38-42,58
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the potential pathogenesis of SLE and SS based on GEO database with screening differential expression genes common in systemic lupus erythematosus (SLE) and Sjogren's syndrome (SS),analyzing their functions and identifing their expression levels. Methods The gene expression datasets of SLE and SS whole blood samples were retrieved from GEO database. Differential expression genes in peripheral blood cells of SLE and SS were screened using gene expression datasets GSE50772,GSE81622,GSE84844 and GSE48378,respectively,and the shared differential expression genes of SLE and SS were screened. Functional analysis of differentially expressed genes was performed using Gene Ontology (GO) analysis and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Peripheral blood from SLE and SS patients and healthy controls were collected from March 2024 to April 2024,recruited from the Second Affiliated Hospital of Air Force Medical University. Quantitative fluorescence real-time PCR (qRT-PCR) was used to identify the expression levels of 11 genes with the most significant differences in expression. Results 232 and 110 differentially expressed genes were screened for SLE and SS,respectively,among which 32 genes shared by SLE and SS were up-regulated in expression levels. Functional analysis showed that the 32 differentially expressed genes were mainly enriched in biological processes related to interferon (IFN) signaling pathways,defense response to viruses,response to viruses,negative regulation of viral genome replication,and immune response. KEGG pathway analysis showed that 32 differentialy expressed genes were associated with the process of viral infection. The clinical sample identification results showed that the expression levels of OAS3,IFI44,IFI44L and EPSTI1 were significantly elevated in PBMC of SLE and SS patients. Conclusion This study suggested that changes in biological processes related to IFN signal and viral infection response play important roles in both SLE and SS development,and may be a predisposing factor and potential biomarker for SLE and SS.
