Literature DB >> 10459487

A colorimetric microtiter plate PCR system detects respiratory syncytial virus in nasal aspirates and discriminates subtypes A and B.

Y W Tang1, P J Heimgartner, S J Tollefson, T J Berg, P N Rys, H Li, T F Smith, D H Persing, P F Wright.   

Abstract

We developed a colorimetric microtiter plate (MTP) PCR system for specific detection of the respiratory syncytial virus (RSV) nucleocapsid gene and differentiation of viral subtypes A and B. Of 47 pediatric nasal aspirate specimens, the sensitivity and specificity were 94.4% (17 of 18) and 100% (15 of 15), respectively, when compared with RSV cell culture isolation in HEp-2 cells. An additional 14 specimens positive for adenoviruses, rhinoviruses, influenza, or parainfluenza viruses did not give positive reactions. PCR testing detected a mean of 0.15 (0.01 to 7.00) plaque-forming units of RSV virions. Inhibition of PCR amplification was detected in 33.3% (6/18) of undiluted specimens and could be avoided by a dilution (1:10) of extracted RNA without decreasing test sensitivity. RSV subtype, as determined by allele-specific probes, was identical to that determined by an immunofluorescence assay. These results indicate that the MTP PCR system provides a sensitive and specific test for clinical laboratory diagnosis and simultaneous subgroup classification of RSV infection.

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Year:  1999        PMID: 10459487     DOI: 10.1016/s0732-8893(99)00049-8

Source DB:  PubMed          Journal:  Diagn Microbiol Infect Dis        ISSN: 0732-8893            Impact factor:   2.803


  15 in total

Review 1.  Molecular approaches to detecting herpes simplex virus and enteroviruses in the central nervous system.

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2.  Detection of human respiratory syncytial virus in respiratory samples by LightCycler reverse transcriptase PCR.

Authors:  David M Whiley; Melanie W Syrmis; Ian M Mackay; Theo P Sloots
Journal:  J Clin Microbiol       Date:  2002-12       Impact factor: 5.948

Review 3.  Detection of respiratory viruses by molecular methods.

Authors:  James B Mahony
Journal:  Clin Microbiol Rev       Date:  2008-10       Impact factor: 26.132

4.  Surveillance of childhood influenza virus infection: what is the best diagnostic method to use for archival samples?

Authors:  Brent Frisbie; Yi-Wei Tang; Marie Griffin; Katherine Poehling; Peter F Wright; Kathy Holland; Kathryn M Edwards
Journal:  J Clin Microbiol       Date:  2004-03       Impact factor: 5.948

5.  Prospective evaluation of rapid antigen tests for diagnosis of respiratory syncytial virus and human metapneumovirus infections.

Authors:  Jaber Aslanzadeh; Xiaotian Zheng; Haijing Li; Janice Tetreault; Irene Ratkiewicz; Shufang Meng; Pamela Hamilton; Yi-Wei Tang
Journal:  J Clin Microbiol       Date:  2008-03-12       Impact factor: 5.948

6.  A sensitive, specific, and cost-effective multiplex reverse transcriptase-PCR assay for the detection of seven common respiratory viruses in respiratory samples.

Authors:  Melanie W Syrmis; David M Whiley; Marion Thomas; Ian M Mackay; Jeanette Williamson; David J Siebert; Michael D Nissen; Theo P Sloots
Journal:  J Mol Diagn       Date:  2004-05       Impact factor: 5.568

7.  Simultaneous detection and high-throughput identification of a panel of RNA viruses causing respiratory tract infections.

Authors:  Haijing Li; Melinda A McCormac; R Wray Estes; Susan E Sefers; Ryan K Dare; James D Chappell; Dean D Erdman; Peter F Wright; Yi-Wei Tang
Journal:  J Clin Microbiol       Date:  2007-05-16       Impact factor: 5.948

8.  Diagnosis of respiratory syncytial virus infection.

Authors:  Therese Popow-Kraupp; Judith H Aberle
Journal:  Open Microbiol J       Date:  2011-12-30

9.  Optimization and clinical validation of a pathogen detection microarray.

Authors:  Christopher W Wong; Charlie Lee Wah Heng; Leong Wan Yee; Shirlena W L Soh; Cissy B Kartasasmita; Eric A F Simoes; Martin L Hibberd; Wing-Kin Sung; Lance D Miller
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

10.  LOMA: a fast method to generate efficient tagged-random primers despite amplification bias of random PCR on pathogens.

Authors:  Wah Heng Lee; Christopher W Wong; Wan Yee Leong; Lance D Miller; Wing Kin Sung
Journal:  BMC Bioinformatics       Date:  2008-09-10       Impact factor: 3.169

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