Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ebiom.2018.05.006
Title: Circulating Salivary miRNA hsa-miR-221 as Clinically Validated Diagnostic Marker for Hand, Foot, and Mouth Disease in Pediatric Patients
Authors: Min, Nyo 
Vale, Previtha Dawn Sakthi
Wong, Anng Anng
Tan, Natalie Woon Hui 
Chong, Chia Yin 
Chen, Chih-Jung
Wang, Robert YL
Chu, Justin Jang Hann 
Keywords: Science & Technology
Life Sciences & Biomedicine
Medicine, General & Internal
Medicine, Research & Experimental
General & Internal Medicine
Research & Experimental Medicine
miRNA
Biomarker
Saliva
HFMD
Machine learning
ENTEROVIRUS 71
EXPRESSION
EPIDEMIOLOGY
INFECTIONS
MICRORNAS
OUTBREAKS
GENES
Issue Date: 1-May-2018
Publisher: ELSEVIER SCIENCE BV
Citation: Min, Nyo, Vale, Previtha Dawn Sakthi, Wong, Anng Anng, Tan, Natalie Woon Hui, Chong, Chia Yin, Chen, Chih-Jung, Wang, Robert YL, Chu, Justin Jang Hann (2018-05-01). Circulating Salivary miRNA hsa-miR-221 as Clinically Validated Diagnostic Marker for Hand, Foot, and Mouth Disease in Pediatric Patients. EBIOMEDICINE 31 : 299-306. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ebiom.2018.05.006
Abstract: © 2018 The Authors Enhancements in the diagnostic capabilities using host biomarkers are currently much needed where sensitivity and specificity issues plague the diagnosis of Hand, Foot and Mouth Disease (HFMD) in pediatrics clinical samples. We investigated miRNome profiles of HFMD saliva samples against healthy children and developed miRNA-based diagnosis models. Our 6-miRNA scoring model predicted HFMD with an overall accuracy of 85.11% in the training set and 92.86% in the blinded test set of Singapore cohort. Blinded evaluation of the model in Taiwan HFMD cases resulted in 77.08% accuracy with the 6-miRNA model and 68.75% with the 4-miRNA model. The strongest predictor of HFMD in all of the panels, hsa-miR-221 was found to be consistently and significantly downregulated in all of our HFMD cohorts. This is the first study to prove that HFMD infection could be diagnosed by circulating miRNAs in patient's saliva. Moreover, this study also serves as a stepping stone towards the future development of other infectious disease diagnosis workflows using novel biomarkers.
Source Title: EBIOMEDICINE
URI: https://scholarbank.nus.edu.sg/handle/10635/170670
ISSN: 23523964
DOI: 10.1016/j.ebiom.2018.05.006
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