scholarly journals Next-generation sequencing identifies micro-RNA–based biomarker panel for Kawasaki disease

2016 ◽  
Vol 138 (4) ◽  
pp. 1227-1230 ◽  
Author(s):  
Ho-Chang Kuo ◽  
Kai-Sheng Hsieh ◽  
Mindy Ming-Huey Guo ◽  
Ken-Pen Weng ◽  
Luo-Ping Ger ◽  
...  
2020 ◽  
Vol 8 ◽  
Author(s):  
Liqin Chen ◽  
Sirui Song ◽  
Qianqian Ning ◽  
Danying Zhu ◽  
Jia Jia ◽  
...  

Background: Kawasaki disease (KD) is the most common cause of acquired heart disease. A proportion of patients were resistant to intravenous immunoglobulin (IVIG), the primary treatment of KD, and the mechanism of IVIG resistance remains unclear. The accuracy of current models predictive of IVIG resistance is insufficient and doesn't meet the clinical expectations.Objectives: To develop a scoring model predicting IVIG resistance of patients with KD.Methods: We recruited 330 KD patients (50 IVIG non-responders, 280 IVIG responders) and 105 healthy children to explore the susceptibility loci of IVIG resistance in Kawasaki disease. A next generation sequencing technology that focused on 4 immune-related pathways and 472 single nucleotide polymorphisms (SNPs) was performed. An R package SNPassoc was used to identify the risk loci, and student's t-test was used to identify risk factors associated with IVIG resistance. A random forest-based scoring model of IVIG resistance was built based on the identified specific SNP loci with the laboratory data.Results: A total of 544 significant risk loci were found associated with IVIG resistance, including 27 previous published SNPs. Laboratory test variables, including erythrocyte sedimentation rate (ESR), platelet (PLT), and C reactive protein, were found significantly different between IVIG responders and non-responders. A scoring model was built using the top 9 SNPs and clinical features achieving an area under the ROC curve of 0.974.Conclusions: It is the first study that focused on immune system in KD using high-throughput sequencing technology. Our findings provided a prediction of the IVIG resistance by integrating the genotype and clinical variables. It also suggested a new perspective on the pathogenesis of IVIG resistance.


2021 ◽  
Vol 43 (2) ◽  
pp. 485-500
Author(s):  
Ken-Pen Weng ◽  
Ching-Feng Cheng ◽  
Kuang-Jen Chien ◽  
Luo-Ping Ger ◽  
Shih-Hui Huang ◽  
...  

Kawasaki disease (KD) typically occurs in children aged under 5 years and can cause coronary artery lesions (CALs). Early diagnosis and treatment with intravenous immunoglobulin can reduce the occurrence of CALs; therefore, identifying a good biomarker for diagnosing KD is essential. Here, using next-generation sequencing in patients with recurrent KD, those with viral infection, and healthy controls, we identified dysregulated circulating microRNAs as diagnostic biomarkers for KD. Pathway enrichment analysis illustrated the putative role of these miRNAs in KD progression. Their expression levels were validated using real-time polymerase chain reaction (qPCR). Fifteen dysregulated circulating miRNAs (fold changes >2 and <0.5) were differentially expressed in the recurrent KD group compared with the viral infection and control groups. These miRNAs were significantly involved in the transforming growth factor-β, epithelial–mesenchymal transition, and cell apoptosis signaling pathways. Notably, their expression levels were frequently restored after intravenous immunoglobulin treatment. Among the candidates, miR-24-3p expression level was significantly higher in patients with recurrent KD compared with healthy controls or viral infection controls (p < 0.001). Receiver operating characteristic analysis revealed that high miR-24-3p expression levels may be a potential biomarker for KD diagnosis. In conclusion, we identified miR-24-3p significantly higher in KD patients, which may be a potential diagnostic biomarker for KD.


Oncotarget ◽  
2018 ◽  
Vol 9 (46) ◽  
pp. 27911-27919 ◽  
Author(s):  
Yu-Jih Su ◽  
I-Chun Lin ◽  
Lin Wang ◽  
Cheng-Hsien Lu ◽  
Yi-Ling Huang ◽  
...  

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