SAT0427 Multicentric Osteoarthritis Intervention Study with Sysadoa (MOVES): Effects of Combined Glucosamine Hydrochloride and Chondroitin Sulfate VS Celecoxib for Painful Knee Osteoarthritis

2014 ◽  
Vol 73 (Suppl 2) ◽  
pp. 749.1-749 ◽  
Author(s):  
M. Hochberg ◽  
J. Martel-Pelletier ◽  
J. Monfort ◽  
I. Möller ◽  
J.-R. Castillo ◽  
...  
2015 ◽  
Vol 75 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Marc C Hochberg ◽  
Johanne Martel-Pelletier ◽  
Jordi Monfort ◽  
Ingrid Möller ◽  
Juan Ramón Castillo ◽  
...  

2018 ◽  
Vol 41 (2) ◽  
pp. 163-171 ◽  
Author(s):  
Mitsuhiro Morita ◽  
Kotaro Yamada ◽  
Hideki Date ◽  
Kazue Hayakawa ◽  
Hidetomo Sakurai ◽  
...  

2019 ◽  
Vol 10 ◽  
pp. 204062231987001 ◽  
Author(s):  
Francisco J. Blanco ◽  
María Camacho-Encina ◽  
Lucía González-Rodríguez ◽  
Ignacio Rego-Pérez ◽  
Jesús Mateos ◽  
...  

Background: In the present study, we explored potential protein biomarkers useful to predict the therapeutic response of knee osteoarthritis (KOA) patients treated with pharmaceutical grade Chondroitin sulfate/Glucosamine hydrochloride (CS+GH; Droglican, Bioiberica), in order to optimize therapeutic outcomes. Methods: A shotgun proteomic analysis by iTRAQ labelling and liquid chromatography–mass spectrometry (LC-MS/MS) was performed using sera from 40 patients enrolled in the Multicentre Osteoarthritis interVEntion trial with Sysadoa (MOVES). The panel of proteins potentially useful to predict KOA patient’s response was clinically validated in the whole MOVES cohort at baseline ( n = 506) using commercially available enzyme-linked immunosorbent assays kits. Logistic regression models and receiver-operating-characteristics (ROC) curves were used to analyze the contribution of these proteins to our prediction models of symptomatic drug response in KOA. Results: In the discovery phase of the study, a panel of six putative predictive biomarkers of response to CS+GH (APOA2, APOA4, APOH, ITIH1, C4BPa and ORM2) were identified by shotgun proteomics. Data are available via ProteomeXchange with identifier PXD012444. In the verification phase, the panel was verified in a larger set of KOA patients ( n = 262). Finally, ITIH1 and ORM2 were qualified by a blind test in the whole MOVES cohort at baseline. The combination of these biomarkers with clinical variables predict the patients’ response to CS+GH with a specificity of 79.5% and a sensitivity of 77.1%. Conclusions: Combining clinical and analytical parameters, we identified one biomarker that could accurately predict KOA patients’ response to CS+GH treatment. Its use would allow an increase in response rates and safety for the patients suffering KOA.


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