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Ember, Stuart W. J., Schulze, Holger, Ross, Alan J., Luby, Julie, Khondoker, Mizanur 
ORCID: https://orcid.org/0000-0002-1801-1635, Giraud, Gerard, Terry, Jonathan G., Ciani, Ilenia, Tlili, Chaker, Crain, Jason, Walton, Anthony J., Mount, Andrew R., Ghazal, Peter, Bachmann, Till T. and Campbell, Colin J.
(2011)
Fast DNA and protein microarray tests for the diagnosis of hepatitis C virus infection on a single platform.
Analytical and Bioanalytical Chemistry, 401 (8).
pp. 2549-2559.
ISSN 1618-2642
Abstract
Hepatitis C virus (HCV) is a major cause of chronic liver disease and liver cancer, and remains a large health care burden to the world. In this study we developed a DNA microarray test to detect HCV RNA and a protein microarray to detect human anti-HCV antibodies on a single platform. A main focus of this study was to evaluate possibilities to reduce the assay time, as a short time-to-result (TTR) is a prerequisite for a point-of-care test. Significantly reducing hybridisation and washing times did not impair the assay performance. This was confirmed first using artificial targets and subsequently using clinical samples from an HCV seroconversion panel derived from a HCV-infected patient. We were able to reduce the time required for the detection of human anti-HCV antibodies to only 14 min, achieving nanomolar sensitivity. The protein microarray exhibited an analytical sensitivity comparable to that of commercial systems. Similar results were obtained with the DNA microarray using a universal probe which covered all different HCV genotypes. It was possible to reduce the assay time after PCR from 150 min to 16 min without any loss of sensitivity. Taken together, these results constitute a significant step forward in the design of rapid, microarray-based diagnostics for human infectious disease, and show that the protein microarray is currently the most favourable candidate to fill this role.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | dna microarray,protein microarray,hcv,time-to-result,point-of-care,seroconversion panel,sdg 3 - good health and well-being ,/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being |
| Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School |
| UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Groups > Epidemiology and Public Health Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023) Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Centres > Population Health |
| Depositing User: | Pure Connector |
| Date Deposited: | 24 Sep 2016 00:40 |
| Last Modified: | 19 Oct 2023 01:46 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/60169 |
| DOI: | 10.1007/s00216-011-5332-5 |
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