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Multiplex SYBR Green Real-Time PCR Assay for Detection of Respiratory Viruses

Identifieur interne : 000023 ( Pmc/Curation ); précédent : 000022; suivant : 000024

Multiplex SYBR Green Real-Time PCR Assay for Detection of Respiratory Viruses

Auteurs : Mozhdeh Sultani ; Talat Mokhtari Azad ; Mohammadreza Eshragian ; Azadeh Shadab ; Maryam Naseri ; Owrang Eilami ; Jila Yavarian

Source :

RBID : PMC:4601230

Abstract

Background:

It is often difficult for a physician to distinguish between viral and bacterial causes of respiratory infections and this may result in overuse of antibiotics. In many cases of community-acquired respiratory infections, clinicians treat patients empirically. The development of molecular methods for direct detection of viruses has been progressed recently.

Objectives:

The objective of this study was recognizing the panel of respiratory RNA viruses by multiplex SYBR Green real-time polymerase chain reaction (PCR).

Materials and Methods:

Randomized 172 influenza-negative respiratory specimens of all age groups of hospitalized patients were collected. After RNA extraction, cDNA was synthesized. Three SYBR Green multiplex real-time PCR assays were developed for simultaneous detection of 12 respiratory RNA viruses. Each set of multiplex methods detected four viruses, the first set: respiratory syncytial virus, human metapneumovirus, rhinovirus, enterovirus; the second set: parainfluenza viruses 1 - 4 (PIV1-4); the third set: coronaviruses NL63, 229E, severe acute respiratory syndrome (SARS), and OC43.

Results:

Application of the multiplex SYBR Green real-time PCR in clinical samples from 172 patients in a one-year study resulted in detection of 19 (11.04%) PIV3, 9 (5.23%) PIV4, and 1 (0.58%) coronavirus NL63. All the positive samples were detected during December to March (2011 - 2012).

Conclusions:

Multiplex SYBR Green real-time PCR is a rapid and relatively inexpensive method for detection of respiratory viruses.


Url:
DOI: 10.5812/jjm.19041v2
PubMed: 26468358
PubMed Central: 4601230

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Mozhdeh Sultani
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<wicri:noCountry code="subfield">IR Iran</wicri:noCountry>
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Talat Mokhtari Azad
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<wicri:noCountry code="subfield">IR Iran</wicri:noCountry>
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Mohammadreza Eshragian
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<nlm:aff id="aff63013">Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, IR Iran</nlm:aff>
<wicri:noCountry code="subfield">IR Iran</wicri:noCountry>
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Azadeh Shadab
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<nlm:aff id="aff63013">Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, IR Iran</nlm:aff>
<wicri:noCountry code="subfield">IR Iran</wicri:noCountry>
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Maryam Naseri
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<nlm:aff id="aff63013">Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, IR Iran</nlm:aff>
<wicri:noCountry code="subfield">IR Iran</wicri:noCountry>
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Owrang Eilami
<affiliation>
<nlm:aff id="aff63014">Department of Infectious Disease, Yasuj University of Medical Sciences, Yasuj, IR Iran</nlm:aff>
<wicri:noCountry code="subfield">IR Iran</wicri:noCountry>
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Jila Yavarian
<affiliation>
<nlm:aff id="aff63013">Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, IR Iran</nlm:aff>
<wicri:noCountry code="subfield">IR Iran</wicri:noCountry>
</affiliation>

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<p>Randomized 172 influenza-negative respiratory specimens of all age groups of hospitalized patients were collected. After RNA extraction, cDNA was synthesized. Three SYBR Green multiplex real-time PCR assays were developed for simultaneous detection of 12 respiratory RNA viruses. Each set of multiplex methods detected four viruses, the first set: respiratory syncytial virus, human metapneumovirus, rhinovirus, enterovirus; the second set: parainfluenza viruses 1 - 4 (PIV1-4); the third set: coronaviruses NL63, 229E, severe acute respiratory syndrome (SARS), and OC43.</p>
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<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Jundishapur J Microbiol</journal-id>
<journal-id journal-id-type="iso-abbrev">Jundishapur J Microbiol</journal-id>
<journal-id journal-id-type="doi">10.5812/jjm</journal-id>
<journal-id journal-id-type="publisher-id">Kowsar</journal-id>
<journal-title-group>
<journal-title>Jundishapur Journal of Microbiology</journal-title>
</journal-title-group>
<issn pub-type="ppub">2008-3645</issn>
<issn pub-type="epub">2008-4161</issn>
<publisher>
<publisher-name>Kowsar</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">26468358</article-id>
<article-id pub-id-type="pmc">4601230</article-id>
<article-id pub-id-type="doi">10.5812/jjm.19041v2</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Multiplex SYBR Green Real-Time PCR Assay for Detection of Respiratory Viruses</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Sultani</surname>
<given-names>Mozhdeh</given-names>
</name>
<xref ref-type="aff" rid="aff63013">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mokhtari Azad</surname>
<given-names>Talat</given-names>
</name>
<xref ref-type="aff" rid="aff63013">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Eshragian</surname>
<given-names>Mohammadreza</given-names>
</name>
<xref ref-type="aff" rid="aff63013">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shadab</surname>
<given-names>Azadeh</given-names>
</name>
<xref ref-type="aff" rid="aff63013">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Naseri</surname>
<given-names>Maryam</given-names>
</name>
<xref ref-type="aff" rid="aff63013">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Eilami</surname>
<given-names>Owrang</given-names>
</name>
<xref ref-type="aff" rid="aff63014">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yavarian</surname>
<given-names>Jila</given-names>
</name>
<xref ref-type="aff" rid="aff63013">1</xref>
<xref ref-type="corresp" rid="cor63015">*</xref>
</contrib>
</contrib-group>
<aff id="aff63013">
<label>1</label>
Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, IR Iran</aff>
<aff id="aff63014">
<label>2</label>
Department of Infectious Disease, Yasuj University of Medical Sciences, Yasuj, IR Iran</aff>
<author-notes>
<corresp id="cor63015">
<label>*</label>
Corresponding author: Jila Yavarian, Virology Department, Tehran University of Medical Sciences, Tehran, IR Iran. Tel: +98-2188962343, Fax: +98-2188962343, E-mail:
<email>yavarian@tums.ac.ir</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>01</day>
<month>8</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="collection">
<month>8</month>
<year>2015</year>
</pub-date>
<volume>8</volume>
<issue>8</issue>
<elocation-id>e19041</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>3</month>
<year>2014</year>
</date>
<date date-type="rev-recd">
<day>30</day>
<month>6</month>
<year>2014</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>7</month>
<year>2014</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright © 2015, Ahvaz Jundishapur University of Medical Sciences.</copyright-statement>
<copyright-year>2015</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/">
<license-p>
<pmc-comment>CREATIVE COMMONS</pmc-comment>
This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/">http://creativecommons.org/licenses/by-nc/4.0/</ext-link>
) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background:</title>
<p>It is often difficult for a physician to distinguish between viral and bacterial causes of respiratory infections and this may result in overuse of antibiotics. In many cases of community-acquired respiratory infections, clinicians treat patients empirically. The development of molecular methods for direct detection of viruses has been progressed recently.</p>
</sec>
<sec>
<title>Objectives:</title>
<p>The objective of this study was recognizing the panel of respiratory RNA viruses by multiplex SYBR Green real-time polymerase chain reaction (PCR).</p>
</sec>
<sec>
<title>Materials and Methods:</title>
<p>Randomized 172 influenza-negative respiratory specimens of all age groups of hospitalized patients were collected. After RNA extraction, cDNA was synthesized. Three SYBR Green multiplex real-time PCR assays were developed for simultaneous detection of 12 respiratory RNA viruses. Each set of multiplex methods detected four viruses, the first set: respiratory syncytial virus, human metapneumovirus, rhinovirus, enterovirus; the second set: parainfluenza viruses 1 - 4 (PIV1-4); the third set: coronaviruses NL63, 229E, severe acute respiratory syndrome (SARS), and OC43.</p>
</sec>
<sec>
<title>Results:</title>
<p>Application of the multiplex SYBR Green real-time PCR in clinical samples from 172 patients in a one-year study resulted in detection of 19 (11.04%) PIV3, 9 (5.23%) PIV4, and 1 (0.58%) coronavirus NL63. All the positive samples were detected during December to March (2011 - 2012).</p>
</sec>
<sec>
<title>Conclusions:</title>
<p>Multiplex SYBR Green real-time PCR is a rapid and relatively inexpensive method for detection of respiratory viruses.</p>
</sec>
</abstract>
<kwd-group kwd-group-type="author">
<kwd>SYBR Green</kwd>
<kwd>Real-Time PCR</kwd>
<kwd>Respiratory Syncytial Viruses</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
</record>

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