8 research outputs found

    TauCl inhibited IκBα degradation as potently as did a NF-κB inhibitor (MG132)

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    <p><b>Copyright information:</b></p><p>Taken from "Taurine chloramine differentially inhibits matrix metalloproteinase 1 and 13 synthesis in interleukin-1β stimulated fibroblast-like synoviocytes"</p><p>http://arthritis-research.com/content/9/4/R80</p><p>Arthritis Research & Therapy 2007;9(4):R80-R80.</p><p>Published online 14 Aug 2007</p><p>PMCID:PMC2206390.</p><p></p> Synovial cells (5 × 10cells/60 mm dish/2 ml serum-free media) were treated with taurine chloramine (TauCl) or MG132 30 min before IL-1β (10 ng/ml) stimulation for 30 min. At a concentration of 800 μmol/l, TauCl inhibited the degradation of inhibitor of nuclear factor-κB (IκB)α just as potently as did 1 μmol/l MG132. Three independent experiments were performed with cells from two patients. NF-κB, nuclear factor-κB

    TauCl differentially inhibits the expression of MMPs in IL-β-stimulated RA FLSs

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    <p><b>Copyright information:</b></p><p>Taken from "Taurine chloramine differentially inhibits matrix metalloproteinase 1 and 13 synthesis in interleukin-1β stimulated fibroblast-like synoviocytes"</p><p>http://arthritis-research.com/content/9/4/R80</p><p>Arthritis Research & Therapy 2007;9(4):R80-R80.</p><p>Published online 14 Aug 2007</p><p>PMCID:PMC2206390.</p><p></p> The expressions of the collagenases (matrix metalloproteinase [MMP]-1 and MMP-13) and the gelatinases (MMP-2 and MMP-9) were determined by ELISA analysis, real time PCR and semi-quantitative RNA analysis. Synovial cells (5 × 10cells/60 mm dish/2 ml serum-free media) were treated with taurine chloramine (TauCl) 30 min before 24 hours of IL-1β (10 ng/ml) stimulation for MMP protein analysis by ELISA. Cells (2.5 × 10cells/60 mm dish/2 ml serum-free media) were treated with TauCl 30 min before 6 hours of stimulation with IL-1β (10 ng/ml) for RNA level analysis. IL-1β stimulated the expression of the MMP-1 and MMP-13 genes, but it did not affect the expression of MMP-2 or MMP-9. TauCl differentially inhibited the expressions of MMP-1 and MMP-13. Experiments were performed in duplicate with cells from three patients. Values are expressed as means ± standard deviation. *< 0.01 versus control group (no IL-1β); < 0.05 and < 0.01 versus IL-1β treatment group without TauCl. FLS, fibroblast-like synoviocyte; PBS, phosphate-buffered saline; RA, rheumatoid arthritis

    Determinants of quality of life in patients with fibromyalgia: A structural equation modeling approach

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    <div><p>Objective</p><p>Health-related quality of life (HRQOL) in patients with fibromyalgia (FM) is lower than in patients with other chronic diseases and the general population. Although various factors affect HRQOL, no study has examined a structural equation model of HRQOL as an outcome variable in FM patients. The present study assessed relationships among physical function, social factors, psychological factors, and HRQOL, and the effects of these variables on HRQOL in a hypothesized model using structural equation modeling (SEM).</p><p>Methods</p><p>HRQOL was measured using SF-36, and the Fibromyalgia Impact Questionnaire (FIQ) was used to assess physical dysfunction. Social and psychological statuses were assessed using the Beck Depression Inventory (BDI), the State-Trait Anxiety Inventory (STAI), the Arthritis Self-Efficacy Scale (ASES), and the Social Support Scale. SEM analysis was used to test the structural relationships of the model using the AMOS software.</p><p>Results</p><p>Of the 336 patients, 301 (89.6%) were women with an average age of 47.9±10.9 years. The SEM results supported the hypothesized structural model (χ<sup>2</sup> = 2.336, df = 3, p = 0.506). The final model showed that Physical Component Summary (PCS) was directly related to self-efficacy and inversely related to FIQ, and that Mental Component Summary (MCS) was inversely related to FIQ, BDI, and STAI.</p><p>Conclusions</p><p>In our model of FM patients, HRQOL was affected by physical, social, and psychological variables. In these patients, higher levels of physical function and self-efficacy can improve the PCS of HRQOL, while physical function, depression, and anxiety negatively affect the MCS of HRQOL.</p></div
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