Serum miRNAs as potential biomarkers for early prediction of gout development

Abstract

Gout is the most prevalent inflammatory arthritis disease in men which results from monosodium urate (MSU) crystals deposition in joints and periarticular tissues. MicroRNAs (miRNAs) are small noncoding RNAs which functions in post-transcriptional regulation of gene expression. Recent studies suggest that miRNAs contribute to the development of inflammatory arthritis. This study aimed to identify specific serum miRNA biomarkers for early prediction in humans for gout. We performed serum miRNA expressions profiles in 60 gout, 60 hyperuricemia (HUA) and 60 healthy control (HC). We used TaqMan low-density arrays to profile 754 miRNAs. MiRNAs with changed expression level were further confirmed by single qRT-PCR. Eight miRNAs miRNAs (miR-139-5p-miR-150-miR-16-miR-17-miR-21, miR-223-miR-26a-miR-30c) were down-regulated and two miRNAs miRNAs (miR-320 and miR-572) were up-regulated in the serum of gout patients, compared to HUA patients (p<0.05, AUC: 0.81–0.93). Furth more, a combined biomarker model using four miRNAs (miR-30b-miR-30c-miR-324-3p and miR-618) was identified to best distinguish gout patients from HUA patients with higher sensitivity and specificity (AUC: 0.93). Some miRNAs target the gout inflammation related genes or HUA susceptible genes. Some miRNAs are related to inflammation or macrophage function. Thus, our study has identified distinct serum miRNA expressions profiles in gout patients compared to HUA patients. These serum miRNAs could serve as potential biomarkers for early prediction of inflammation processes in HUA individuals at risk for gout Support or Funding Information RO1 AR069681 Validation of serum single and multi-miRNA marker for gout. KEGG pathway of Gout marker. Serum miRNA expression profiles in gout patients, HUA and healthy control and identification of potential candidate serum miRNAs biomarkers for gout from discovery phase. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.