Multiple respiratory virus detection by DNA microarray

Volume 4, Issue 3, June 2019     |     PP. 69-86      |     PDF (315 K)    |     Pub. Date: April 17, 2019
DOI:    336 Downloads     6391 Views  

Author(s)

Kai Sung, Department of Bioengineering, Xuzhou Vocational College of Bioengineering, China
Hsu Sheng Cheng, Department of Bioengineering, Xuzhou Vocational College of Bioengineering, China

Abstract
Current methods for detecting and identifying respiratory viruses in patient samples are based on viral amplification in cell culture followed by antibody detection. These methods are time-consuming, costly and depend upon complex and expensive equipment as well as resources. DNA-based microarrays have the potential and useful diagnostic tools that are able to detect and identify respiratory viruses in a rapid, sensitive, safe and cost effective manner. In order to transform this potential into reality, direct comparisons between the established cell culture and immuno-based methods and a DNA microarray method in a clinical setting are necessary. In this study, we developed a respiratory virus microarray that can be employed to detect eight different respiratory viruses at once, named: DR. Chip RV-chip. Throat swabs were taken from 433 patients with possible respiratory viral infections and were analyzed using established cell culture and immuno-based assays and DR. Chip RV-chip, respectively. There were 92 positive tested specimens obtained in both assays. Although the respiratory virus microarray did not detect 20 of the 92 culture positive specimens (false negatives), the microarrays did detect 34 additional positive specimens in comparison to the traditional methods. Our observations demonstrate that in a clinical setting a rapid respiratory virus microarray assay can perform better than the slower cell culture and immuno-based assays

Keywords
DNA microarray, Respiratory virus, Respiratory tract infection

Cite this paper
Kai Sung, Hsu Sheng Cheng, Multiple respiratory virus detection by DNA microarray , SCIREA Journal of Clinical Medicine. Volume 4, Issue 3, June 2019 | PP. 69-86.

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