A128: Hierarchical Clustering Methodology for Exploration of Proteomic Profile in Tears: Seeking for Markers of Uveitis Associated With Juvenile Idiopathic Arthritis

on

Conclusion:The result of our study demonstrates the benefits of high resolution mass‐ spectrometry for analysis and development of molecular signatures which can be used in diagnostics. Hierarchical clustering methodology allowed grouping according to expression profiles and the dendrogram construction procedure revealed clusters of proteins associated with iron metabolism as the most promising markers of JIA‐associated uveitis. Earlier it was shown that induced anterior uveitis in the eyes of rats can be described in terms of proteins drawn from the anterior chamber (Sobn et al., 2000), which result is close to our terms of description. (Source: Arthritis and Rheumatism)