Plasma Hsp90 levels in patients with systemic sclerosis and relation to lung and skin involvement: a cross-sectional and longitudinal study.
Hana Štorkánová,Sabína Oreská,Maja Špiritović,B. Heřmánková,Kristýna Bubová,Martin Komarc,Karel Pavelka,Jiří Vencovský,Jörg H W Distler,Ladislav Šenolt,Radim Bečvář,Michal Tomcik +11 more
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In this paper, the authors evaluated plasma heat shock protein (Hsp) 90 in the skin of patients with systemic sclerosis (SSc) and characterized its association with SSc-related features.Abstract:
Our previous study demonstrated increased expression of Heat shock protein (Hsp) 90 in the skin of patients with systemic sclerosis (SSc). We aimed to evaluate plasma Hsp90 in SSc and characterize its association with SSc-related features. Ninety-two SSc patients and 92 age-/sex-matched healthy controls were recruited for the cross-sectional analysis. The longitudinal analysis comprised 30 patients with SSc associated interstitial lung disease (ILD) routinely treated with cyclophosphamide. Hsp90 was increased in SSc compared to healthy controls. Hsp90 correlated positively with C-reactive protein and negatively with pulmonary function tests: forced vital capacity and diffusing capacity for carbon monoxide (DLCO). In patients with diffuse cutaneous (dc) SSc, Hsp90 positively correlated with the modified Rodnan skin score. In SSc-ILD patients treated with cyclophosphamide, no differences in Hsp90 were found between baseline and after 1, 6, or 12 months of therapy. However, baseline Hsp90 predicts the 12-month change in DLCO. This study shows that Hsp90 plasma levels are increased in SSc patients compared to age-/sex-matched healthy controls. Elevated Hsp90 in SSc is associated with increased inflammatory activity, worse lung functions, and in dcSSc, with the extent of skin involvement. Baseline plasma Hsp90 predicts the 12-month change in DLCO in SSc-ILD patients treated with cyclophosphamide.read more
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Covasim: An agent-based model of COVID-19 dynamics and interventions.
Cliff C. Kerr,Robyn M. Stuart,Robyn M. Stuart,Dina Mistry,Romesh G. Abeysuriya,Katherine Rosenfeld,Gregory R. Hart,Rafael C. Núñez,Jamie A. Cohen,Prashanth Selvaraj,Brittany Hagedorn,Lauren George,Michał Jastrzębski,Amanda S Izzo,Greer Fowler,Anna Palmer,Dominic Delport,Nick Scott,Sherrie L Kelly,Caroline S Bennette,Bradley G. Wagner,Stewart T. Chang,Assaf P. Oron,Edward A. Wenger,Jasmina Panovska-Griffiths,Jasmina Panovska-Griffiths,Michael Famulare,Daniel J. Klein +27 more
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A survey on missing data in machine learning.
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Impact of community masking on COVID-19: A cluster-randomized trial in Bangladesh
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D-dimer as a biomarker for assessment of COVID-19 prognosis: D-dimer levels on admission and its role in predicting disease outcome in hospitalized patients with COVID-19.
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References
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