Identification of A/H5N1 Influenza Viruses Using a Single Gene Diagnostic Microarray

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• 作者：Erica D. Dawson ; Chad L. Moore ; Daniela M. Dankbar ; Martin Mehlmann ; Michael B. Townsend ; James A. Smagala ; Catherine B. Smith ; Nancy J. Cox ; Robert D. Kuchta ; Kathy L. Rowlen
• 刊名：Analytical Chemistry
• 出版年：2007
• 出版时间：January 1, 2007
• 年：2007
• 卷：79
• 期：1
• 页码：378 - 384
• 全文大小：265K
• 年卷期：v.79,no.1(January 1, 2007)
• ISSN：1520-6882

文摘

In previous work, a simple diagnostic DNA microarraythat targeted only the matrix gene segment of influenza A(MChip) was developed and evaluated with patientsamples. In this work, the analytical utility of the MChipfor detection and subtyping of an emerging virus wasevaluated with a diverse set of A/H5N1 influenza viruses.A total of 43 different highly pathogenic A/H5N1 viralisolates that were collected from diverse geographiclocations, including Vietnam, Nigeria, Indonesia, andKazakhstan, representing human, feline, and a variety ofavian infections spanning the time period 2003-2006were used in this study. A probabilistic artificial neuralnetwork was developed for automated microarray imageinterpretation through pattern recognition. The microarrayassay and subsequent subtype assignment by the artificialneural network resulted in correct identification of 24"unknown" A/H5N1 positive samples with no false positives. Analysis of a data set composed of A/H5N1,A/H3N2, and A/H1N1 positive samples and negativecontrols resulted in a clinical sensitivity of 97% and aclinical specificity of 100%.