ArticleBioMed research international2020
The Platelet microRNA Profile of Kawasaki Disease: Identification of Novel Diagnostic Biomarkers.
Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- The role of microRNAs in Kawasaki disease: a systematic review.European journal of pediatrics · 2026Pooled it
- A new prediction diagnosis model of incomplete Kawasaki disease based on data mining with big data.Pediatric discovery · 2025Article
- Article
- Identifying differentially expressed genes and miRNAs in Kawasaki disease by bioinformatics analysis.Scientific reports · 2022Article
- Diagnostic significance of noncoding RNAs in kawasaki disease: A systematic review and meta-analysis.Frontiers in pediatrics · 2022Review
- Identification of miRNA profile in the peripheral blood and clinical significance of miR-355 and miR-2911 expression in children with Kawasaki disease.American journal of translational research · 2022Article
- A computational workflow for the detection of candidate diagnostic biomarkers of Kawasaki disease using time-series gene expression data.Computational and structural biotechnology journal · 2021Article
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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