Association of F11R polymorphisms and gene expression with primary Sjögren’s syndrome patients

Fang, Tzu-Jung; Li, Ruei‐Nian; Lin, Yuan‐Zhao; Lin, Chia‐Hui; Tseng, Chia‐Chun; Sung, Wan‐Yu; Ou, Tsan‐Teng; Wu, Chuan-Chun; Yen, Jeng‐Hsien

doi:10.1111/1756-185x.14095

Cited by 4 publications

(4 citation statements)

References 25 publications

(30 reference statements)

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“…It was also found that gene expression patterns in pSS involve multiple chronic inflammatory pathways, including chemokines, cytokines, MHC, and IFN. [40][41][42] Unlike previous studies, we found that parainflammation was significantly upregulated in the immune functions. It was suggested that the infiltration characteristics of parainflammation were similar to type I IFN response.…”

Section: Discussioncontrasting

confidence: 99%

Uncovering potential new biomarkers and immune infiltration characteristics in primary Sjögren’s syndrome by integrated bioinformatics analysis

Zhang,

Ji,

Bao

et al. 2023

Medicine

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Primary Sjögren’s syndrome (pSS) is known as autoimmune disease characterized by damage to endocrine glands, such as the salivary and lacrimal glands. This study aimed to identify potential biomarkers for pSS using integrated bioinformatics analysis and explore the relationship between differentially expressed genes (DEGs) and immune infiltration. Three pSS datasets (GSE7451, GSE23117, and GSE40611) from the gene expression omnibus database were integrated. All the datasets were processed in R (version 4.0.3). A total of 16 immune cells and 13 immune functions were obtained. The top immune cell and immune function were “activated” dendritic cells and major histocompatibility complex class I. Correlation analysis showed the top correlation among 16 immune cells were B cells and tumor infiltrating lymphocytes, check-point and T cell co-stimulation, respectively. In comparisons of immune score, “activated” dendritic cells (.657 vs 594, P < .001), B cells (.492 vs 434, P = .004), macrophages (.631 vs 601, P = .010), inflammation-promoting (.545 vs 478, P < .001), Type I interferon Reponse (.728 vs 625, P < .001) and so on were higher in pSS than control group. In correlation analysis, the up-regulation of interferon induced protein with tetratricopeptide repeats 1 gene was strongly correlated with Type I interferon response with a correlation coefficient of .87. The receiver operating characteristic curve of 5 genes showed that the area under curve was.891. In the verification model, the area under curve was.881. In addition, disease ontology analysis supported the association between DEGs and pSS. In summary, pSS has a variety of DEGs in immune infiltration, which is worthy of the attention from clinicians.

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Section: Discussioncontrasting

confidence: 99%

Uncovering potential new biomarkers and immune infiltration characteristics in primary Sjögren’s syndrome by integrated bioinformatics analysis

Zhang,

Ji,

Bao

et al. 2023

Medicine

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show abstract

“…Exocrine epithelial cells from pSS patients high levels of HLA-DR, inducing activation of in ltrating CD4 + T cells [32]. Recent studies using microarrays to analyze gene expression in small SGs also found that gene expression patterns in pSS involve multiple chronic in ammatory pathways, including chemokines, cytokines, MHC and IFN [33][34][35]. Unlike previous studies, this study also found that parain ammation was signi cantly up-regulated in the immune functions.…”

Section: Discussioncontrasting

confidence: 54%

Uncovering potential new biomarkers and immune infiltration characteristics in primary Sojgren's syndrome by integrated bioinformatics analysis

Zhang

Bao

et al. 2022

Preprint

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Background: Primary Sojgren's syndrome (pSS) is known as autoimmune disease of endocrine system. This study aimed to identify potential biomarkers for pSS using integrated bioinformatics analysis and explore the relationship between differentially expressed genes (DEGs) and immune infiltration. Methods: Three pSS datasets (GSE7451, GSE23117 and GSE40611) from the Gene Expression Omnibus (GEO) database were integrated. All the datasets were processed by affy in R (version 4.0.3).Results: A total of 16 immune cells and 13 immune functions infiltration scores were obtained. The top immune cell and immune function were "activated" dendritic cells (aDCs) and major histocompatibility complex (MHC) class I. Correlation analysis showed the top correlation among 16 immune cells were B cells and tumor infiltrating lymphocytes (TIL), check-point and T cell co-stimulation, respectively. In comparisons of immune score, aDCs (0.657 vs 0.594, P < 0.001), B cells (0.492 vs 0.434, P = 0.004), macrophages (0.631 vs 0.601, P = 0.010), inflammation-promoting (0.545 vs 0.478, P < 0.001), Type I interferon (IFN) Reponse (0.728 vs 0.625, P < 0.001) and so on were higher in pSS than control group. In correlation analysis, the up-regulation of IFIT1 gene was strongly correlated with Type I IFN Reponse with a correlation coefficient of 0.87. The ROC curve of 5 genes showed that the area under curve (AUC) was 0.891. In the verification model, the AUC was 0.881. In addition, DO analysis supported the association between DEGs and pSS. Conclusions: In summary, pSS has a variety of DEGs in immune infiltration, which is worthy of the attention from clinicians.

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“…Gene variations of the F11R protein, which has many functions such as intracellular signaling, regulation of cellular permeability, stimulation of cell translocation during inflammatory processes, and cytokine production were investigated in SS. In this study, it was reported that some variations were associated with SS and F11R mRNA expression was lower in SS patients compared to healthy controls [92].…”

Section: Functional Studiesmentioning

confidence: 69%

Sjögren Sendromu İle Bazi Gen Poli̇morfi̇zmleri̇ Arasindaki̇ Olasi Bağlantilar

TERZİ,

ATEŞ

2023

Ankara Ecz. Fak. Derg.

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Objective: Sjögren’s syndrome is a complex and widespread autoimmune disease whose pathogenesis is not fully elucidated and environmental and genetic factors affect the development of the disease. In order to reveal the effect of genetic contribution, studies have been conducted on the genes previously shown to play a role in other autoimmune diseases such as systemic lupus erythromatosus. In addition, two GWAS studies were conducted to investigate the role of more genes in the disease by screening the entire genome and the relationship of previously unknown genes with SS was shown. Result and Discussion: Studies are being conducted with spontaneous and genetically modified animal models in order to better reveal the relationship between SS and genes and to reinforce the data obtained from humans. In this study, the relationship between the genes previously studied in other autoimmune diseases and the genes associated with SS in GWAS studies and the possible pathways that may contribute to the pathogenesis of the disease through related genes were investigated.

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Association of F11R polymorphisms and gene expression with primary Sjögren’s syndrome patients

Cited by 4 publications

References 25 publications

Uncovering potential new biomarkers and immune infiltration characteristics in primary Sjögren’s syndrome by integrated bioinformatics analysis

Uncovering potential new biomarkers and immune infiltration characteristics in primary Sjögren’s syndrome by integrated bioinformatics analysis

Uncovering potential new biomarkers and immune infiltration characteristics in primary Sojgren's syndrome by integrated bioinformatics analysis

Sjögren Sendromu İle Bazi Gen Poli̇morfi̇zmleri̇ Arasindaki̇ Olasi Bağlantilar

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