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J Clin Virol. 2008 Jun;42(2):117-23. doi: 10.1016/j.jcv.2007.12.019. Epub 2008 Mar 4.

Detection of adamantane-resistant influenza on a microarray.

Author information

  • 1Department of Chemistry and Biochemistry, The University of Colorado at Boulder, UCB #215, Boulder, CO 80309, USA.

Abstract

BACKGROUND:

Influenza A has the ability to rapidly mutate and become resistant to the commonly prescribed influenza therapeutics, thereby complicating treatment decisions.

OBJECTIVE:

To design a cost-effective low-density microarray for use in detection of influenza resistance to the adamantanes.

STUDY DESIGN:

We have taken advantage of functional genomics and microarray technology to design a DNA microarray that can detect the two most common mutations in the M2 protein associated with adamantane resistance, V27A and S31N.

RESULTS:

In a blind study of 22 influenza isolates, the antiviral resistance-chip (AVR-Chip) had a success rate of 95% for detecting these mutations. Microarray data from a larger set of samples were further analyzed using an artificial neural network and resulted in a correct identification rate of 94% for influenza virus samples that had V27A and S31N mutations.

CONCLUSIONS:

The AVR-Chip provided a method for rapidly screening influenza viruses for adamantane sensitivity, and the general approach could be easily extended to detect resistance to other chemotherapeutics.

PMID:
18299250
PMCID:
PMC2493413
DOI:
10.1016/j.jcv.2007.12.019
[PubMed - indexed for MEDLINE]
Free PMC Article
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