2014
DOI: 10.1186/1471-2334-14-506
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MicroRNA expression profile in exosome discriminates extremely severe infections from mild infections for hand, foot and mouth disease

Abstract: BackgroundChanges of miRNAs in exosome have been reported in different disease diagnosis and provided as potential biomarkers. In this study, we compared microRNA profile in exosomes in 5 MHFMD and 5 ESHFMD as well as in 5 healthy children.MethodsDifferent expression of miRNAs in exosomes across all the three groups were screened using miRNA microarray method. Further validated test was conducted through quantitative real-time PCR assays with 54 exosome samples (18 ESHFMD, 18 MHFMD, and 18 healthy control). Th… Show more

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Cited by 38 publications
(37 citation statements)
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“…This can be possible by detecting changes in the expression of miRNAs made by microorganisms. The specificity and selectivity of the method can be increased by detecting the changes in the expression of miRNAs in various bacterial infections [ 75 ].…”
Section: Circulating Mirnas As Biomarker For Sepsismentioning
confidence: 99%
“…This can be possible by detecting changes in the expression of miRNAs made by microorganisms. The specificity and selectivity of the method can be increased by detecting the changes in the expression of miRNAs in various bacterial infections [ 75 ].…”
Section: Circulating Mirnas As Biomarker For Sepsismentioning
confidence: 99%
“…Other studies have reviewed the role of exosomal miRNAs as biomarkers for disease detection in cardiovascular disorders and infectious diseases. These studies highlight the potential of exosomal miRNAs as biomarkers [58][59][60].…”
Section: Exosomal Mirnas As Biomarkers In Other Disordersmentioning
confidence: 84%
“…Although further work should improve the fluorescence ratio of positive assays over negative control targets by offering a more robust optical detection platform and enabling temperature control of the microarray surface until fluorescence acquisition, it is worth comparing these ratios to traditionally accepted ratios to differentiate between overexpression and underexpression of genes for in expression analysis microarray. A ratio of 1.5 or more typically 2 is considered sufficient to differentiate with certainty the level of expression of a gene in a reliable fashion 41, 42 . Ratios currently observed with our structured oligonucleotide technique are within ranges of accepted microarray differentiation ratios.…”
Section: Resultsmentioning
confidence: 99%