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Evaluation of Multiplex Type-Specific Real-Time PCR Assays Using the LightCycler and Joint Biological Agent Identification and Diagnostic System Platforms for Detection and Quantitation of Adult Human Respiratory Adenoviruses

2010; American Society for Microbiology; Volume: 48; Issue: 4 Linguagem: Inglês

10.1128/jcm.01600-09

1098-660X

David Metzgar, Carl Gibbins, Nolan Ryan Hudson, Morris S. Jones,

Viral gastroenteritis research and epidemiology

Every year, thousands of basic military trainees in each service of the U.S. Armed Forces experience acute respiratory disease. The majority of this disease burden results from infection with human adenoviruses. We designed single- and multiplex assays that detect and discriminate adenovirus types B3, E4, B7, B11, B14, and B21. A total of 116 oropharyngeal swab specimens obtained from patients at the Naval Health Research Center were used to validate the new assays. Type-specific singleplex assays were designed and used independently to successfully identify 94 representative patient specimens. The lower limits of detection for our singleplex real-time PCR assays were calculated to be 50, 500, 500, 50, 50, and 50 genomic copies per reaction for human adenovirus type B3 (HAdV-B3), HAdV-E4, HAdV-B7, HAdV-B11, HAdV-B14, and HAdV-B21, respectively. These were then multiplexed to increase efficiency and tested against singleplex assays using titrated controls. The HAdV-B3/B11 and HAdV-E4/B7 multiplex assays were as sensitive and specific as they were individually. The HAdV-B14/B21 multiplex assay was not as efficient at detecting HAdV-B14 as the singleplex assay. Interestingly, a statistically significant difference was found between the viral loads of HAdV-B14 and those of HAdV-B3, -E4, -B7, and -B21 (P < 0.001). The assays did not cross-react with other adenoviruses, influenza virus, respiratory syncytial virus, or respiratory disease-causing bacteria. These assays have the potential to be useful as clinical diagnostic tools for the detection of HAdV infection in adult populations.