Dataset Information

Transcriptome sequencing reveals potential roles of ICOS in primary Sjögren’s syndrome

ABSTRACT: Primary Sjögren’s syndrome (pSS) is a chronic systemic autoimmune disease characterized by exocrine glands damage and extraglandular manifestations. To identify potential biomarkers for the early diagnosis of pSS and further investigate the potential mechanisms in progression of the disease, we combined our previous RNA- sequencing study and four microarrays data to conduct integrative transcriptome analyses in salivary glands (SGs) between the pSS and non-pSS. Differential gene expression analysis, gene co-expression network analysis and pathway analysis were conducted to detect hub gene, which was subsequently validated in peripheral blood. Correlation analysis, single-gene Gene Set Enrichment Analysis (GSEA) and receiver operating characteristic (ROC) curve were applied to investigate the role of ICOS in pSS and its classification capacity for pSS.

ORGANISM(S): Homo sapiens

PROVIDER: GSE159574 | GEO | 2020/12/22

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Primary Sjögren’s syndrome (pSS) is a systemic autoimmune disease characterized by infiltration of the exocrine glands and prominent B cell hyperactivity. Considering the key role of monocytes in promoting B cell hyperactivity, we performed RNA-sequencing analysis of CD14+ monocytes from patients with pSS, non-Sjögren’s sicca (nSS), and healthy controls (HC). We demonstrated that the transcriptomic profile of pSS patients is enriched in intermediate and non-classical monocyte profiles, and confirmed the increased frequency of non-classical monocytes in pSS patients by flow-cytometry analysis. Weighted gene co-expression network analysis identified four molecular signatures in monocytes from pSS patients, functionally annotated for processes related with translation, IFN-signaling, and toll like receptor signaling. Systemic and local inflammatory features significantly correlated with the expression of these signatures. Furthermore, genes highly associated with clinical features in pSS were identified as hub-genes for each signature. Unsupervised hierarchical cluster analysis of the hub-genes identified four clusters of nSS and pSS patients, each with distinct inflammatory and transcriptomic profiles. One cluster showed a significantly higher percentage of pSS patients with higher prevalence of anti-SSA autoantibodies, interferon score, and erythrocyte sedimentation rate compared to the other clusters. Finally, we showed that the identified transcriptomic differences in pSS monocytes were induced in monocytes of healthy controls by exposure to serum of pSS patients. Representative hub-genes of all four signatures were partially inhibited by interferon-a/b receptor blockade, indicating that the circulating inflammatory mediators, including type I interferons have a significant contribution to the altered transcriptional profile of pSS-monocytes. Our study suggests that targeting key circulating inflammatory mediators, such as type I interferons, could offer new insights into the important pathways and mechanisms driving pSS, and holds promise for halting immunopathology in Sjögren’s Syndrome.

Dataset Information

Transcriptome sequencing reveals potential roles of ICOS in primary Sjögren’s syndrome

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets