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A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses
Current multiplexed diagnostics for Zika, dengue, and chikungunya viruses are situated outside the intersection of affordability, high performance, and suitability for use at the point-of-care in resource-limited settings. Consequently, insufficient diagnostic capabilities are a key limitation facin...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5357913/ https://www.ncbi.nlm.nih.gov/pubmed/28317856 http://dx.doi.org/10.1038/srep44778 |
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author | Priye, Aashish Bird, Sara W. Light, Yooli K. Ball, Cameron S. Negrete, Oscar A. Meagher, Robert J. |
author_facet | Priye, Aashish Bird, Sara W. Light, Yooli K. Ball, Cameron S. Negrete, Oscar A. Meagher, Robert J. |
author_sort | Priye, Aashish |
collection | PubMed |
description | Current multiplexed diagnostics for Zika, dengue, and chikungunya viruses are situated outside the intersection of affordability, high performance, and suitability for use at the point-of-care in resource-limited settings. Consequently, insufficient diagnostic capabilities are a key limitation facing current Zika outbreak management strategies. Here we demonstrate highly sensitive and specific detection of Zika, chikungunya, and dengue viruses by coupling reverse-transcription loop-mediated isothermal amplification (RT-LAMP) with our recently developed quenching of unincorporated amplification signal reporters (QUASR) technique. We conduct reactions in a simple, inexpensive and portable “LAMP box” supplemented with a consumer class smartphone. The entire assembly can be powered by a 5 V USB source such as a USB power bank or solar panel. Our smartphone employs a novel algorithm utilizing chromaticity to analyze fluorescence signals, which improves the discrimination of positive/negative signals by 5-fold when compared to detection with traditional RGB intensity sensors or the naked eye. The ability to detect ZIKV directly from crude human sample matrices (blood, urine, and saliva) demonstrates our device’s utility for widespread clinical deployment. Together, these advances enable our system to host the key components necessary to expand the use of nucleic acid amplification-based detection assays towards point-of-care settings where they are needed most. |
format | Online Article Text |
id | pubmed-5357913 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53579132017-03-22 A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses Priye, Aashish Bird, Sara W. Light, Yooli K. Ball, Cameron S. Negrete, Oscar A. Meagher, Robert J. Sci Rep Article Current multiplexed diagnostics for Zika, dengue, and chikungunya viruses are situated outside the intersection of affordability, high performance, and suitability for use at the point-of-care in resource-limited settings. Consequently, insufficient diagnostic capabilities are a key limitation facing current Zika outbreak management strategies. Here we demonstrate highly sensitive and specific detection of Zika, chikungunya, and dengue viruses by coupling reverse-transcription loop-mediated isothermal amplification (RT-LAMP) with our recently developed quenching of unincorporated amplification signal reporters (QUASR) technique. We conduct reactions in a simple, inexpensive and portable “LAMP box” supplemented with a consumer class smartphone. The entire assembly can be powered by a 5 V USB source such as a USB power bank or solar panel. Our smartphone employs a novel algorithm utilizing chromaticity to analyze fluorescence signals, which improves the discrimination of positive/negative signals by 5-fold when compared to detection with traditional RGB intensity sensors or the naked eye. The ability to detect ZIKV directly from crude human sample matrices (blood, urine, and saliva) demonstrates our device’s utility for widespread clinical deployment. Together, these advances enable our system to host the key components necessary to expand the use of nucleic acid amplification-based detection assays towards point-of-care settings where they are needed most. Nature Publishing Group 2017-03-20 /pmc/articles/PMC5357913/ /pubmed/28317856 http://dx.doi.org/10.1038/srep44778 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Priye, Aashish Bird, Sara W. Light, Yooli K. Ball, Cameron S. Negrete, Oscar A. Meagher, Robert J. A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses |
title | A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses |
title_full | A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses |
title_fullStr | A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses |
title_full_unstemmed | A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses |
title_short | A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses |
title_sort | smartphone-based diagnostic platform for rapid detection of zika, chikungunya, and dengue viruses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5357913/ https://www.ncbi.nlm.nih.gov/pubmed/28317856 http://dx.doi.org/10.1038/srep44778 |
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