Integrated analysis of transcriptomics to identify hub genes in primary Sjogren's syndrome

被引：7

作者：

Lin, Yanjun ^{[1
,2
,3
,4
]}

Yao, Xiu ^{[1
,5
]}

Yan, Mingdong ^{[1
,4
,6
]}

Zhou, Lin ^{[4
,7
]}

Huang, Wenxiu ^{[4
,7
]}

Xiao, Yanjun ^{[4
,7
]}

Wu, Dong ^{[4
,7
]}

Chen, Jiang ^{[4
,5
,7
,8
]}

机构：

[1] Fujian Med Univ, Fujian Key Lab Oral Dis, Fuzhou, Fujian, Peoples R China

[2] Fujian Med Univ, Fujian Prov Engn Res Ctr Oral Biomat, Fuzhou, Fujian, Peoples R China

[3] Fujian Coll & Univ, Stomatol Key Lab, Fuzhou, Fujian, Peoples R China

[4] Fujian Med Univ, Sch & Hosp Stomatol, Dept Oral Implantol, Fuzhou, Fujian, Peoples R China

[5] Fujian Med Univ, Res Ctr Dent Esthet & Biomech, 246 Yangqiao Rd, Fuzhou 350002, Fujian, Peoples R China

[6] Fujian Med Univ, Lab Oral Tissue Engn, Fuzhou, Fujian, Peoples R China

[7] Fujian Med Univ, Res Ctr Dent & Craniofacial Implants, 246 Yangqiao Rd, Fuzhou 350002, Fujian, Peoples R China

[8] Fujian Med Univ, Inst Stomatol, Fuzhou, Fujian, Peoples R China

来源：

ORAL DISEASES | 2022年 / 28卷 / 07期

基金：

中国国家自然科学基金;

关键词：

hub genes; integrated bioinformatics; robust rank aggregation; salivary gland; Sjogren's syndrome; EXPRESSION; PATHOGENESIS; BIOLOGY; CELLS;

D O I：

10.1111/odi.13943

中图分类号：

R78 [口腔科学];

学科分类号：

1003 ;

摘要：

Objective The treatment of patients with primary Sjogren's syndrome is a clinical challenge. Gene expression profile analysis and comprehensive network methods for complex diseases can provide insight into molecular characteristics in the clinical context. Materials and Methods We downloaded gene expression datasets from the Gene Expression Omnibus (GEO) database. We screened differentially expressed genes (DEG) between the pSS patients and the controls by the robust rank aggregation (RRA) method. We explored DEGs' potential function using gene function annotation and PPI network analysis. Results and were included, including 38 patients and 30 controls. The RRA integrated analysis determined 294 significant DEGs (241 upregulated and 53 downregulated), and the most significant gene aberrantly expressed in SS was CXCL9 (p = 6.39E-15), followed by CXCL13 (p = 1.53E-13). Immune response (GO:0006955; p = 4.29E-32) was the most significantly enriched biological process in GO (gene ontology) analysis. KEGG pathway enrichment analysis showed that cytokine-cytokine receptor interaction (hsa04060; p = 6.46E-10) and chemokine signaling pathway (hsa04062; p = 9.54E-09) were significantly enriched. We defined PTPRC, CD86, and LCP2 as the hub genes based on the PPI results. Conclusion Our integrated analysis identified gene signatures and helped understand molecular changes in pSS.

引用

页码：1831 / 1845

页数：15

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