Abstract:Background
Gout is the most prevalent inflammatory arthritis, its gold standard of diagnosis is detection of monosodium urate crystals in joints. However, the invasive test limited its use in the diagnosis of gout. Thus, there is an urgent need to exploit a novel biomarker to predict and early diagnose the gout flare.
Methods
In this study, we aimed to screen out the potential biomarkers of gout from GEO database (GSE178825) through bioinformatics analysis.
Results
The results showed that 4994 DEGs (43 up-r… Show more
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