The Platelet microRNA Profile of Kawasaki Disease: Identification of Novel Diagnostic Biomarkers

• Main Authors: Qianqian Ning, Liqin Chen, Sirui Song, Hong Zhang, Kangping Xu, Jia Liu, Yiwen Zhou, Chenyang Zang, Guang Li, Feng Chen, Jia Jia, Guohui Ding, Min Huang
• Format: Article
• Language: English
• Published: Hindawi Limited 2020-01-01
• Series: BioMed Research International
• Online Access: http://dx.doi.org/10.1155/2020/9061568
• ISSN: 2314-6133; 2314-6141

Challenging diagnosis and unknown etiology of Kawasaki disease (KD) increase the coronary artery lesions incidence. microRNAs (miRNAs) are the most promising biomarkers because of their stability in peripheral blood and noninvasive measurement procedure, whose potential utility have been proved in cancers. To explore the utility of differentially expressed (DE) miRNAs as early diagnostic markers, 44 patients (25 incomplete KD and 19 complete KD) and 31 febrile controls were recruited for small RNA sequencing. From all the 1922 expressed miRNA, 210 DE miRNAs were found between KD and febrile control groups. Though platelet miRNA profiles of complete KD incomplete KD were much similar through cluster analysis, the DE miRNAs were not identical. Eight DE miRNAs were validated by real-time quantitative PCR (qRT-PCR) in complete or incomplete KD groups using a normalizer, miR-126-3p, which was identified by geNorm and NormFinder tools. The expression level of miRNAs continuous changed over time was observed and the function analysis showed the potential role of miRNAs as therapeutic biomarkers. Additionally, the prediction model for KD showed a sensitivity of 78.8% and a specificity of 71.4%, respectively. This study used small RNA sequencing to identify miRNA biomarkers KD diagnosis based on a large sample size. Our findings shine a light on the understanding of molecular pathogenesis of KD and may improve the accuracy of KD diagnosis and prognosis in clinical.