scholarly journals Modulation of Matrix Metalloproteinases in Sjogren's Syndrome by Proinflammatory Cytokines

1970 ◽  
Vol 24 (2) ◽  
pp. 15-20
Author(s):  
Enamul Kabir ◽  
Nick Di Girolamo ◽  
Denis Wakefield
Keyword(s):  
Matrix Metalloproteinases ◽  
Key Words ◽  
Sjögren’S Syndrome ◽  
Proinflammatory Cytokines ◽  
Sjögren's Syndrome ◽  
Sjogren’S Syndrome ◽  
Sjogren's Syndrome ◽  
Key Words Sjögren's Syndrome ◽  
Sjögren‘S Syndrome

Key words: Sjogren's syndrome; Matrixmetalloproteinases (MMPS);Proinflammatory cytokinesDOI: 10.3329/bjpath.v24i2.4113Bangladesh J Pathol 24(2): 15-20

scholarly journals Role of Matrix Metalloproteinases 2 and 9 in Lacrimal Gland Disease in Animal Models of Sjögren's Syndrome

2015 ◽  
Vol 56 (9) ◽  
pp. 5218 ◽  
Author(s):  
Hema S. Aluri ◽  
Claire L. Kublin ◽  
Suharika Thotakura ◽  
Helene Armaos ◽  
Mahta Samizadeh ◽  
...  
Keyword(s):  
Animal Models ◽  
Matrix Metalloproteinases ◽  
Sjögren’S Syndrome ◽  
Lacrimal Gland ◽  
Sjögren's Syndrome ◽  
Sjogren’S Syndrome ◽  
Sjogren's Syndrome ◽  
Sjögren‘S Syndrome

scholarly journals Fatigue in primary Sjögren's syndrome is associated with lower levels of proinflammatory cytokines

RMD Open ◽  
2016 ◽  
Vol 2 (2) ◽  
pp. e000282 ◽  
Author(s):  
Nadia Howard Tripp ◽  
Jessica Tarn ◽  
Andini Natasari ◽  
Colin Gillespie ◽  
Sheryl Mitchell ◽  
...  
Keyword(s):  
Sjögren’S Syndrome ◽  
Proinflammatory Cytokines ◽  
Sjögren's Syndrome ◽  
Sjogren’S Syndrome ◽  
Sjogren's Syndrome ◽  
Primary Sjögren’S Syndrome ◽  
Primary Sjogren’S Syndrome ◽  
Primary Sjögren's Syndrome ◽  
Sjögren‘S Syndrome

scholarly journals Fatigue in primary Sjögren’s syndrome (pSS) is associated with lower levels of proinflammatory cytokines: a validation study

2019 ◽  
Vol 39 (11) ◽  
pp. 1867-1873 ◽  
Author(s):  
Kristen Davies ◽  
◽  
Kamran Mirza ◽  
Jessica Tarn ◽  
Nadia Howard-Tripp ◽  
...  
Keyword(s):  
Sjögren’S Syndrome ◽  
Proinflammatory Cytokines ◽  
Sjögren's Syndrome ◽  
Sjogren’S Syndrome ◽  
Sjogren's Syndrome ◽  
Primary Sjögren’S Syndrome ◽  
Primary Sjogren’S Syndrome ◽  
Primary Sjögren's Syndrome ◽  
Patient Reported ◽  
Sjögren‘S Syndrome

Abstract Primary Sjögren’s syndrome (pSS) is a chronic autoimmune rheumatic disease with symptoms including dryness, fatigue, and pain. The previous work by our group has suggested that certain proinflammatory cytokines are inversely related to patient-reported levels of fatigue. To date, these findings have not been validated. This study aims to validate this observation. Blood levels of seven cytokines were measured in 120 patients with pSS from the United Kingdom Primary Sjögren’s Syndrome Registry and 30 age-matched healthy non-fatigued controls. Patient-reported scores for fatigue were classified according to severity and compared to cytokine levels using analysis of variance. The differences between cytokines in cases and controls were evaluated using Wilcoxon test. A logistic regression model was used to determine the most important identifiers of fatigue. Five cytokines, interferon-γ-induced protein-10 (IP-10), tumour necrosis factor-α (TNFα), interferon-α (IFNα), interferon-γ (IFN-γ), and lymphotoxin-α (LT-α) were significantly higher in patients with pSS (n = 120) compared to non-fatigued controls (n = 30). Levels of two proinflammatory cytokines, TNF-α (p = 0.021) and LT-α (p = 0.043), were inversely related to patient-reported levels of fatigue. Cytokine levels, disease-specific and clinical parameters as well as pain, anxiety, and depression were used as predictors in our validation model. The model correctly identifies fatigue levels with 85% accuracy. Consistent with the original study, pain, depression, and proinflammatory cytokines appear to be the most powerful predictors of fatigue in pSS. TNF-α and LT-α have an inverse relationship with fatigue severity in pSS challenging the notion that proinflammatory cytokines directly mediate fatigue in chronic immunological conditions.

The association of Raynaud’s phenomenon/syndrome with scleroderma and Sjögren’s syndrome – a meta-analysis

VASA ◽  
2008 ◽  
Vol 37 (Supplement 73) ◽  
pp. 26-32 ◽  
Author(s):  
Schlattmann ◽  
Höhne ◽  
Plümper ◽  
Heidrich
Keyword(s):  
Quantitative Analysis ◽  
Sjögren’S Syndrome ◽  
Mixture Model ◽  
Sjögren's Syndrome ◽  
Meta Analysis ◽  
Sjogren’S Syndrome ◽  
Sjogren's Syndrome ◽  
Raynaud’S Syndrome ◽  
Raynaud's Syndrome ◽  
Sjögren‘S Syndrome

Background: In order to analyze the prevalence of Raynaud’s syndrome in diseases such as scleroderma and Sjögren’s syndrom – a meta-analysis of published data was performed. Methods: The PubMed data base of the National Library of Medicine was used for studies dealing with Raynaud’s syndrome and scleroderma or Raynaud’s syndroem and Sjögren’s syndrom respectively. The studies found provided data sufficient to estimate the prevalence of Raynaud’s syndrome. The statistical analysis was based on methods for a fixed effects meta-analysis and finite mixture model for proportions. Results: For scleroderma a pooled prevalence of 80.9% and 95% CI (0.78, 0.83) was obtained. A mixture model analysis found four latent classes. We identified a class with a very low prevalence of 11%, weighted with 0.15. On the other hand there is a class with a very high prevalence of 96%. Analysing the association with Sjögren’s syndrome, the pooled analysis leads to a prevalence of Raynaud’s syndrome of 32%, 95% CI(26.7%, 37.7%). A mixture model finds a solution with two latent classes. Here, 38% of the studies show a prevalence of 18.8% whereas 62% observe a prevalence of 38.3%. Conclusion: There is strong variability of studies reporting the prevalence of Raynaud’s syndrome in patients suffering from scleroderma or Sjögren’s syndrome. The available data are insufficient to perform a proper quantitative analysis of the association of Raynaud’s phenomenon with scleroderma or Sjögren’s syndrome. Properly planned and reported epidemiological studies are needed in order to perform a thorough quantitative analysis of risk factors for Raynaud’s syndrome.

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