Why the study?
Does IAVchip DNA microarray improve diagnostic effectiveness in detection and subtyping of influenza A virus compared to RT-PCR and real-time RT-PCR in specimens from humans, animals, and birds?
Does IAVchip DNA microarray improve diagnostic effectiveness in detection and subtyping of influenza A virus compared to RT-PCR and real-time RT-PCR in specimens from humans, animals, and birds?
IAVchip DNA microarray is a highly sensitive and specific rapid method for simultaneous detection and subtyping of influenza A virus.
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May support IAVchip evaluation in research labs; leaves open clinical adoption pending prospective validation.
The paper describes comparative evaluation of IAVchip DNA microarray, reverse transcription PCR (RT-PCR), and real-time RT-PCR versus virus isolation in chicken embryos and shows their diagnostic effectiveness in detection and subtyping of influenza A virus. The tests were evaluated with use of 185 specimens from humans, animals, and birds. IAVchip DNA microarray demonstrates higher diagnostic effectiveness (99.45%) in early influenza A diagnosis as compared to the real-time PCR (98.38%) and RT-PCR (96.22%), thus showing its clear superiority. Diagnostic sensitivity of IAVchip DNA microarray (100%) exceeds the same of RT-PCR (95.95%) and real-time RT-PCR (97.96%) in the range of estimated confidence intervals. IAVchip DNA microarray and real-time RT-PCR displayed equal diagnostic specificity (98.85%), while diagnostic specificity of RT-PCR was 96.40%. IAVchip DNA microarray has an advantage over the other tests for influenza A diagnosis and virus identification as a more rapid method that allows performing simultaneous detection and subtyping of about tens of specimens within one experiment during 8-10 hours. The developed IAVchip DNA microarray is a general test tool that enables identifying simultaneously 16 hemagglutinin (HA) and 9 neuraminidase (NA) subtypes of influenza A virus and also to screen the influenza A viruses from humans, animals, and birds by M and NP genes.
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Sultankulova et al. (2014) studied this question.
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