DNA hypermethylation leads to lower FOXP3 expression in CD4+ T cells of patients with primary Sjögren's syndrome

2013 ◽  
Vol 148 (2) ◽  
pp. 254-257 ◽  
Author(s):  
Xinhai Yu ◽  
Gongping Liang ◽  
Heng Yin ◽  
Owen Ngalamika ◽  
Fen Li ◽  
...  
Keyword(s):  
T Cells ◽  
Cd4 T Cells ◽  
Foxp3 Expression ◽  
Sjogren’S Syndrome ◽  
Sjogren's Syndrome ◽  
Primary Sjögren’S Syndrome ◽  
Dna Hypermethylation ◽  
Primary Sjogren’S Syndrome ◽  
Primary Sjögren's Syndrome ◽  
Sjögren‘S Syndrome

scholarly journals Correlation of peripheral CD4+GranzB+CTLs with disease severity in patients with primary Sjögren’s syndrome

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Qi Wang ◽  
Nan Che ◽  
Chengyin Lu ◽  
Xiaoxuan Sun ◽  
Yanyan Wang ◽  
...  
Keyword(s):  
T Cells ◽  
Disease Severity ◽  
Cd4 T Cells ◽  
Sjogren’S Syndrome ◽  
Sjogren's Syndrome ◽  
Primary Sjögren’S Syndrome ◽  
Primary Sjogren’S Syndrome ◽  
Primary Sjögren's Syndrome ◽  
Extraglandular Manifestations ◽  
Sjögren‘S Syndrome

Abstract Introduction Primary Sjögren’s syndrome (pSS) is a chronic systemic autoimmune disease which has focal lymphocytic infiltration including a majority of CD4+ T cells. This study was to investigate the correlation of peripheral granzyme B (GranzB)-expressing CD4+ T cells with disease severity and histological lesion in patients with pSS. Methods We recruited 116 pSS and 46 health control (HC) using flow cytometry to examine the percentage of CD4+GranzB+CTLs in the peripheral blood, and immunofluorescence to test their expression in the labial gland. Results The percentage of CD4+GranzB+CTLs was significantly upregulated in pSS than in HC (7.1 ± 4.9% vs 3.1 ± 1.9%, p < 0.0001) and positive correlation with ESSDAI. The frequency of them was markedly higher in pSS with extraglandular manifestations. After excluding the other risk factors associated with pSS, they were still related to ESSDIA and extraglandular manifestations independently (p < 0.05), and they are the risk factor of extraglandular involvement (odds ratio = 1.928). Moreover, they could be observed in the LSGs. ROC curve analysis indicated that the area under the curve (AUC) of CD4+GranzB+CTLs was 0.796 to predict the activity of pSS and 0.851 to presume extraglandular manifestations. The best diagnostic cutoff point was 4.865 for pSS patients. Conclusion In this study, we provide new evidence indicating the involvement of CD4+GranzB+CTLs over activation in the pathophysiology of pSS, which may serve as a new biomarker to evaluate the activity and severity of pSS.

Utility of lymphocyte phenotype profile to differentiate primary Sjögren’s syndrome from sicca syndrome

Rheumatology ◽  
2021 ◽  
Author(s):  
José Loureiro-Amigo ◽  
Carlos Palacio-García ◽  
Mónica Martínez-Gallo ◽  
Fernando Martínez-Valle ◽  
Marc Ramentol-Sintas ◽  
...  
Keyword(s):  
T Cells ◽  
Cd4 T Cells ◽  
Lymphocyte Subsets ◽  
Sjogren’S Syndrome ◽  
Sjogren's Syndrome ◽  
Primary Sjögren’S Syndrome ◽  
Sicca Syndrome ◽  
Primary Sjogren’S Syndrome ◽  
Primary Sjögren's Syndrome ◽  
Sjögren‘S Syndrome

Abstract Objective To assess the potential diagnostic utility of advanced lymphocyte profiling to differentiate between primary Sjögren’s Syndrome (pSS) and non-Sjögren Sicca syndrome. Methods Distribution of peripheral lymphocyte subpopulations was analysed by flow cytometry in 68 patients with pSS, 26 patients with sicca syndrome and 23 healthy controls. The ability to discriminate between pSS and sicca syndrome was analysed using the area under the curve (AUC) of the receiver operating characteristic curve of the different lymphocyte subsets. Results The ratio between naïve/memory B cell proportions showed an AUC of 0.742 to differentiate pSS and sicca syndrome, with a sensitivity of 76.6% and a specificity of 72% for a cut-off value of 3.4. The ratio of non-switched memory B cells to activated CD4+ T cells percentage (BNSM/CD4ACT) presented the highest AUC (0.840) with a sensitivity of 83.3% and specificity of 81.7% for a cut-off value &lt;4.1. To differentiate seronegative pSS patients from sicca patients, the BNSM/CD4ACT ratio exhibited an AUC of 0.742 (sensitivity 75%, specificity 66.7%, cut-off value &lt;4.4), and the number of naïve CD4 T cells had an AUC of 0.821 (sensitivity 76.9%, specificity 88.9%, cut-off value &lt;312/mm3). Conclusion Patients with pSS show a profound imbalance in the distribution of circulating T and B lymphocyte subsets. The ratio BNSM/CD4ACT is useful to discriminate between pSS and sicca syndrome.

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