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Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of Care
The dengue virus (DENV) is a vector-borne flavivirus that infects around 390 million individuals each year with 2.5 billion being in danger. Having access to testing is paramount in preventing future infections and receiving adequate treatment. Currently, there are numerous conventional methods for...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8301808/ https://www.ncbi.nlm.nih.gov/pubmed/34201849 http://dx.doi.org/10.3390/bios11070206 |
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author | Kabir, Md Alamgir Zilouchian, Hussein Younas, Muhammad Awais Asghar, Waseem |
author_facet | Kabir, Md Alamgir Zilouchian, Hussein Younas, Muhammad Awais Asghar, Waseem |
author_sort | Kabir, Md Alamgir |
collection | PubMed |
description | The dengue virus (DENV) is a vector-borne flavivirus that infects around 390 million individuals each year with 2.5 billion being in danger. Having access to testing is paramount in preventing future infections and receiving adequate treatment. Currently, there are numerous conventional methods for DENV testing, such as NS1 based antigen testing, IgM/IgG antibody testing, and Polymerase Chain Reaction (PCR). In addition, novel methods are emerging that can cut both cost and time. Such methods can be effective in rural and low-income areas throughout the world. In this paper, we discuss the structural evolution of the virus followed by a comprehensive review of current dengue detection strategies and methods that are being developed or commercialized. We also discuss the state of art biosensing technologies, evaluated their performance and outline strategies to address challenges posed by the disease. Further, we outline future guidelines for the improved usage of diagnostic tools during recurrence or future outbreaks of DENV. |
format | Online Article Text |
id | pubmed-8301808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83018082021-07-24 Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of Care Kabir, Md Alamgir Zilouchian, Hussein Younas, Muhammad Awais Asghar, Waseem Biosensors (Basel) Review The dengue virus (DENV) is a vector-borne flavivirus that infects around 390 million individuals each year with 2.5 billion being in danger. Having access to testing is paramount in preventing future infections and receiving adequate treatment. Currently, there are numerous conventional methods for DENV testing, such as NS1 based antigen testing, IgM/IgG antibody testing, and Polymerase Chain Reaction (PCR). In addition, novel methods are emerging that can cut both cost and time. Such methods can be effective in rural and low-income areas throughout the world. In this paper, we discuss the structural evolution of the virus followed by a comprehensive review of current dengue detection strategies and methods that are being developed or commercialized. We also discuss the state of art biosensing technologies, evaluated their performance and outline strategies to address challenges posed by the disease. Further, we outline future guidelines for the improved usage of diagnostic tools during recurrence or future outbreaks of DENV. MDPI 2021-06-23 /pmc/articles/PMC8301808/ /pubmed/34201849 http://dx.doi.org/10.3390/bios11070206 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Kabir, Md Alamgir Zilouchian, Hussein Younas, Muhammad Awais Asghar, Waseem Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of Care |
title | Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of Care |
title_full | Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of Care |
title_fullStr | Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of Care |
title_full_unstemmed | Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of Care |
title_short | Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of Care |
title_sort | dengue detection: advances in diagnostic tools from conventional technology to point of care |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8301808/ https://www.ncbi.nlm.nih.gov/pubmed/34201849 http://dx.doi.org/10.3390/bios11070206 |
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