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Semi-quantitative Influenza A population averages from a multiplex respiratory viral panel (RVP): potential for reflecting target sequence changes affecting the assay

Overview of attention for article published in Virology Journal, July 2017
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Title
Semi-quantitative Influenza A population averages from a multiplex respiratory viral panel (RVP): potential for reflecting target sequence changes affecting the assay
Published in
Virology Journal, July 2017
DOI 10.1186/s12985-017-0796-3
Pubmed ID
Authors

Kenneth H. Rand, Maura Pieretti, Rodney Arcenas, Stacy G. Beal, Herbert Houck, Emma Boslet, John A. Lednicky

Abstract

Yearly influenza virus mutations potentially affect the performance of molecular assays, if nucleic acid changes involve the sequences in the assay. Because individual patient viral loads depend on variables such as duration of illness, specimen type, age, and immunosuppression, we examined seasonal population averages of positive tests to smooth inherent variability. We studied the population seasonal averages of the semi-quantitative nAMPs for the influenza matrix and hemagglutinin genes in the GenMark (Carlsbad, CA) Respiratory Viral Panel assay between 3 institutions over 3 Influenza seasons. Population average nAMPs were strikingly consistent between separate institutions, but differed substantially between H3N2 and H1N1 seasons. In the 2012-2013 and 2014-2015 influenza seasons, matrix gene H3N2 nAMP averages were 50-70% less than those of the same assay in the 2013-2014 H1N1 season. Influenza strains representative of these seasons were grown in tissue culture and when the supernatant virus was adjusted to the same copy number using a TaqMan assay, the same relative differences were reproduced in the RVP assay. Because the sequences for the PCR and PCR product detection in the GenMark assay are proprietary, the manufacturer provided single stranded DNA matching the capture probe for the representative H3N2 (3 mismatches) and H1N1 strains (2 different mismatches). Equimolar concentrations of these synthetic DNA sequences gave average nAMP values that closely correlated with the average nAMPS of the representative strains and their respective seasonal averages. Seasonal averages of semi-quantitative data may provide a means to follow assay performance as a reflection of the effects of molecular drift.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 33%
Researcher 1 17%
Student > Ph. D. Student 1 17%
Student > Postgraduate 1 17%
Student > Doctoral Student 1 17%
Other 0 0%
Readers by discipline Count As %
Medicine and Dentistry 2 33%
Immunology and Microbiology 2 33%
Agricultural and Biological Sciences 1 17%
Veterinary Science and Veterinary Medicine 1 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 March 2018.
All research outputs
#7,964,853
of 12,698,622 outputs
Outputs from Virology Journal
#1,315
of 2,115 outputs
Outputs of similar age
#149,770
of 260,010 outputs
Outputs of similar age from Virology Journal
#1
of 1 outputs
Altmetric has tracked 12,698,622 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,115 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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