Proteomic analysis of synovial fluid as an analytical tool to detect candidate biomarkers for XXXX .

@entity1 @entity626 @entity571 @entity2104 @entity215 @entity130
We conducted research to detect the proteomic profiles in synovial fluid (SF) from @entity626 ( @entity571 ) @entity1 to better understand the pathogenesis and aetiology of @entity571 . Our long-term goal is to identify reliable candidate biomarkers for @entity571 in SF. The SF proteins obtained from 10 knee @entity571 @entity1 and 10 non- @entity571 @entity1 (9 of whom were @entity1 with a @entity130 in the knee; 1 had a discoid meniscus in the knee, and all exhibited intact articular cartilage) were separated by two-dimensional electrophoresis (2-DE). The repeatability of the obtained protein spots regarding their intensity was tested via triplicate 2-DE of selected samples. The observed protein expression patterns were subjected to statistical analysis, and differentially expressed protein spots were identified via matrix-assisted laser desorption/ionisation-time of flight/time of flight mass spectrometry (MALDI- @entity215 / @entity215 MS). Our analyses showed low intrasample variability and clear intersample variation. Among the protein spots observed on the gels, there were 29 significant differences, of which 22 corresponded to upregulation and 7 to downregulation in the @entity571 group. One of the upregulated protein spots was confirmed to be @entity2104 by mass spectrometry, and the levels of @entity2104 in SF are positively correlated with the severity of @entity571 (r = 0.89, P < 0.001). This study showed that 2-DE could be used under standard conditions to screen SF samples and identify a small subset of proteins in SF that are potential markers associated with @entity571 . Spots of interest identified by mass spectrometry, such as @entity2104 , may be associated with @entity571 severity.
