Scleroderma or systemic sclerosis (SSc) is frequently detected at an advanced stage due to diagnosis difficulties. Salivary biomarkers,\nif existing, could be used for predictive diagnosis of this disease. Human saliva contains a large number of proteins that can be used\nfor diagnosis and are of great potential in clinical research. The use of proteomic analysis to characterize whole saliva (WS) in\nSSc has gained an increasing attention in the last years and the identification of salivary proteins specific for SSc could lead to\nearly diagnosis or new therapeutic targets. This review will present an overview about the use ofWS in SSc studies. The proteomic\ntechnologies currently used for global identification of salivary proteins in SSc, as well as the advantages and limitations for the use\nofWS as a diagnostic tool, will be presented.
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