{
   "sha": "9a0f63b592a07e5823715e548da6f3605faf2bbb",
   "source_x": "PMC",
   "title": "Multiplex SYBR Green Real-Time PCR Assay for Detection of Respiratory Viruses",
   "doi": "http://dx.doi.org/10.5812/jjm.19041v2",
   "pmcid": "PMC4601230",
   "pubmed_id": "26468358",
   "license": "CC BY-NC",
   "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.",
   "publish_time": "2015 Aug 1",
   "authors": [
      "['Sultani, Mozhdeh', 'Mokhtari Azad, Talat', 'Eshragian, Mohammadreza', 'Shadab, Azadeh', 'Naseri, Maryam', 'Eilami, Owrang', 'Yavarian, Jila']"
   ],
   "journal": "Jundishapur J Microbiol",
   "has_full_text": "True",
   "id": "9a0f63b592a07e5823715e548da6f3605faf2bbb",
   "fhir_link": "Non-comercial/9a0f63b592a07e5823715e548da6f3605faf2bbb"
}