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A multiplex liquid-chip assay based on Luminex xMAP technology for simultaneous detection of six common respiratory viruses

Identifieur interne : 001C77 ( Ncbi/Checkpoint ); précédent : 001C76; suivant : 001C78

A multiplex liquid-chip assay based on Luminex xMAP technology for simultaneous detection of six common respiratory viruses

Auteurs : Yong Yan [République populaire de Chine] ; Jian-Yong Luo [République populaire de Chine] ; Yin Chen [République populaire de Chine] ; Heng-Hui Wang [République populaire de Chine] ; Guo-Ying Zhu [République populaire de Chine] ; Pei-Yan He [République populaire de Chine] ; Jin-Lei Guo [République populaire de Chine] ; Yong-Liang Lei [République populaire de Chine] ; Zhong-Wen Chen [République populaire de Chine]

Source :

RBID : PMC:5722533

Abstract

We utilized one-step multiplex reverse transcription-PCR (RT-PCR) and Luminex xMAP technology to develop a respiratory multiplex liquid-chip assay (rMLA) for simultaneous detection of 6 common respiratory viruses, including influenza virus type A (FluA) and type B (FluB), para-influenza virus type 3 (PIV-3), respiratory syncytial virus (RSV), human metapneumovirus (MPV) and a threatening virus to China, Middle East Respiratory Syndrome coronavirus (MERS-CoV). Performance of rMLA was evaluated by comparing with real-time RT-PCR. Detection data from clinical specimens showed that the rMLA had diagnostic sensitivities of 97.10% for FluA, 94.59% for FluB, 98.68% for PIV-3, 94.87% for RSV and 95.92% for MPV (No Data for MERS-CoV due to the lack of positive specimens). Data of analytical sensitivities showed that the detection limits of the rMLA assay were 5–25 viral RNA copies per μl for FluA, FluB, PIV-3 and MERS-CoV, approximate to the real-time RT-PCR assay; while the values were 8 and 22copies/μl for MPV and RSV, lower than the real-time RT-PCR(78 and 114 copies/μl respectively). The results indicated that the rMLA is a sensitive, specific detection tool and comparable to real-time RT-PCR, especially suitable for high-throughput detection of respiratory specimens.


Url:
DOI: 10.18632/oncotarget.18533
PubMed: 29228581
PubMed Central: 5722533


Affiliations:


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PMC:5722533

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<p>We utilized one-step multiplex reverse transcription-PCR (RT-PCR) and Luminex xMAP technology to develop a respiratory multiplex liquid-chip assay (rMLA) for simultaneous detection of 6 common respiratory viruses, including influenza virus type A (FluA) and type B (FluB), para-influenza virus type 3 (PIV-3), respiratory syncytial virus (RSV), human metapneumovirus (MPV) and a threatening virus to China, Middle East Respiratory Syndrome coronavirus (MERS-CoV). Performance of rMLA was evaluated by comparing with real-time RT-PCR. Detection data from clinical specimens showed that the rMLA had diagnostic sensitivities of 97.10% for FluA, 94.59% for FluB, 98.68% for PIV-3, 94.87% for RSV and 95.92% for MPV (No Data for MERS-CoV due to the lack of positive specimens). Data of analytical sensitivities showed that the detection limits of the rMLA assay were 5–25 viral RNA copies per μl for FluA, FluB, PIV-3 and MERS-CoV, approximate to the real-time RT-PCR assay; while the values were 8 and 22copies/μl for MPV and RSV, lower than the real-time RT-PCR(78 and 114 copies/μl respectively). The results indicated that the rMLA is a sensitive, specific detection tool and comparable to real-time RT-PCR, especially suitable for high-throughput detection of respiratory specimens.</p>
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<name sortKey="Luo, Jian Yong" sort="Luo, Jian Yong" uniqKey="Luo J" first="Jian-Yong" last="Luo">Jian-Yong Luo</name>
<name sortKey="Wang, Heng Hui" sort="Wang, Heng Hui" uniqKey="Wang H" first="Heng-Hui" last="Wang">Heng-Hui Wang</name>
<name sortKey="Zhu, Guo Ying" sort="Zhu, Guo Ying" uniqKey="Zhu G" first="Guo-Ying" last="Zhu">Guo-Ying Zhu</name>
</country>
</tree>
</affiliations>
</record>

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   |texte=   A multiplex liquid-chip assay based on Luminex xMAP technology for simultaneous detection of six common respiratory viruses
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Data generation: Mon Apr 20 23:26:43 2020. Site generation: Sat Mar 27 09:06:09 2021