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Identification of microRNAs in Throat Swab as the Biomarkers for Diagnosis of Influenza

Identifieur interne : 000441 ( Main/Exploration ); précédent : 000440; suivant : 000442

Identification of microRNAs in Throat Swab as the Biomarkers for Diagnosis of Influenza

Auteurs : Fang Peng [République populaire de Chine] ; Jianan He [République populaire de Chine] ; Jacky Fong Chuen Loo [République populaire de Chine] ; Jingyu Yao [République populaire de Chine] ; Lei Shi [République populaire de Chine] ; Chunxiao Liu [République populaire de Chine] ; Chunzhong Zhao [République populaire de Chine] ; Weidong Xie [République populaire de Chine] ; Yonghong Shao [République populaire de Chine] ; Siu Kai Kong [République populaire de Chine] ; Dayong Gu [République populaire de Chine]

Source :

RBID : PMC:4747873

Abstract

Background: Influenza is a serious worldwide disease that captures global attention in the past few years after outbreaks. The recent discoveries of microRNA (miRNA) and its unique expression profile in influenza patients have offered a new method for early influenza diagnosis. The aim of this study was to examine the utility of miRNAs for the diagnosis of influenza.

Methods: Thirteen selected miRNAs were investigated with the hosts' throat swabs (25 H1N1, 20 H3N2, 20 influenza B and 21 healthy controls) by real-time quantitative polymerase chain reaction (RT-qPCR) using U6 snRNA as endogenous control for normalization, and receiver operating characteristic (ROC) curve/Area under curve (AUC) for analysis.

Results: miR-29a-3p, miR-30c-5p, miR-34c-3p and miR-181a-5p are useful biomarkers for influenza A detection; and miR-30c-5p, miR-34b-5p, miR-205-5p and miR-449b-5p for influenza B detection. Also, use of both miR-30c-5p and miR-34c-3p (AUC=0.879); and miR-30c-5p and miR-449b-5p (AUC=0.901) are better than using one miRNA to confirm influenza A and influenza B infection, respectively.

Conclusions: Given its simplicity, non-invasiveness and specificity, we found that the throat swab-derived miRNAs miR-29a-3p, miR-30c-5p, miR-34b-5p, miR-34c-3p, miR-181a-5p, miR-205-5p and miR-449b-5p are a useful tool for influenza diagnosis on influenza A and B.


Url:
DOI: 10.7150/ijms.13301
PubMed: 26917988
PubMed Central: 4747873


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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<wicri:regionArea>1. Department of Health Inspection and Quarantine, School of Public Health, Sun Yat-sen University, Guangzhou</wicri:regionArea>
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<title level="j">International Journal of Medical Sciences</title>
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<p>
<bold>Background: </bold>
Influenza is a serious worldwide disease that captures global attention in the past few years after outbreaks. The recent discoveries of microRNA (miRNA) and its unique expression profile in influenza patients have offered a new method for early influenza diagnosis. The aim of this study was to examine the utility of miRNAs for the diagnosis of influenza.</p>
<p>
<bold>Methods: </bold>
Thirteen selected miRNAs were investigated with the hosts' throat swabs (25 H1N1, 20 H3N2, 20 influenza B and 21 healthy controls) by real-time quantitative polymerase chain reaction (RT-qPCR) using U6 snRNA as endogenous control for normalization, and receiver operating characteristic (ROC) curve/Area under curve (AUC) for analysis.</p>
<p>
<bold>Results: </bold>
miR-29a-3p, miR-30c-5p, miR-34c-3p and miR-181a-5p are useful biomarkers for influenza A detection; and miR-30c-5p, miR-34b-5p, miR-205-5p and miR-449b-5p for influenza B detection. Also, use of both miR-30c-5p and miR-34c-3p (AUC=0.879); and miR-30c-5p and miR-449b-5p (AUC=0.901) are better than using one miRNA to confirm influenza A and influenza B infection, respectively.</p>
<p>
<bold>Conclusions: </bold>
Given its simplicity, non-invasiveness and specificity, we found that the throat swab-derived miRNAs miR-29a-3p, miR-30c-5p, miR-34b-5p, miR-34c-3p, miR-181a-5p, miR-205-5p and miR-449b-5p are a useful tool for influenza diagnosis on influenza A and B.</p>
</div>
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<affiliations>
<list>
<country>
<li>République populaire de Chine</li>
</country>
<region>
<li>Guangdong</li>
</region>
<settlement>
<li>Jiangmen</li>
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<orgName>
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<country name="République populaire de Chine">
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<name sortKey="Peng, Fang" sort="Peng, Fang" uniqKey="Peng F" first="Fang" last="Peng">Fang Peng</name>
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</tree>
</affiliations>
</record>

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