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Multi-Omics Advancements towards Plasmodium vivax Malaria Diagnosis
Plasmodium vivax malaria is one of the most lethal infectious diseases, with 7 million infections annually. One of the roadblocks to global malaria elimination is the lack of highly sensitive, specific, and accurate diagnostic tools. The absence of diagnostic tools in particular has led to poor diff...
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/PMC8700291/ https://www.ncbi.nlm.nih.gov/pubmed/34943459 http://dx.doi.org/10.3390/diagnostics11122222 |
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author | Aggarwal, Shalini Peng, Weng Kung Srivastava, Sanjeeva |
author_facet | Aggarwal, Shalini Peng, Weng Kung Srivastava, Sanjeeva |
author_sort | Aggarwal, Shalini |
collection | PubMed |
description | Plasmodium vivax malaria is one of the most lethal infectious diseases, with 7 million infections annually. One of the roadblocks to global malaria elimination is the lack of highly sensitive, specific, and accurate diagnostic tools. The absence of diagnostic tools in particular has led to poor differentiation among parasite species, poor prognosis, and delayed treatment. The improvement necessary in diagnostic tools can be broadly grouped into two categories: technologies-driven and omics-driven progress over time. This article discusses the recent advancement in omics-based malaria for identifying the next generation biomarkers for a highly sensitive and specific assay with a rapid and antecedent prognosis of the disease. We summarize the state-of-the-art diagnostic technologies, the key challenges, opportunities, and emerging prospects of multi-omics-based sensors. |
format | Online Article Text |
id | pubmed-8700291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87002912021-12-24 Multi-Omics Advancements towards Plasmodium vivax Malaria Diagnosis Aggarwal, Shalini Peng, Weng Kung Srivastava, Sanjeeva Diagnostics (Basel) Review Plasmodium vivax malaria is one of the most lethal infectious diseases, with 7 million infections annually. One of the roadblocks to global malaria elimination is the lack of highly sensitive, specific, and accurate diagnostic tools. The absence of diagnostic tools in particular has led to poor differentiation among parasite species, poor prognosis, and delayed treatment. The improvement necessary in diagnostic tools can be broadly grouped into two categories: technologies-driven and omics-driven progress over time. This article discusses the recent advancement in omics-based malaria for identifying the next generation biomarkers for a highly sensitive and specific assay with a rapid and antecedent prognosis of the disease. We summarize the state-of-the-art diagnostic technologies, the key challenges, opportunities, and emerging prospects of multi-omics-based sensors. MDPI 2021-11-28 /pmc/articles/PMC8700291/ /pubmed/34943459 http://dx.doi.org/10.3390/diagnostics11122222 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 Aggarwal, Shalini Peng, Weng Kung Srivastava, Sanjeeva Multi-Omics Advancements towards Plasmodium vivax Malaria Diagnosis |
title | Multi-Omics Advancements towards Plasmodium vivax Malaria Diagnosis |
title_full | Multi-Omics Advancements towards Plasmodium vivax Malaria Diagnosis |
title_fullStr | Multi-Omics Advancements towards Plasmodium vivax Malaria Diagnosis |
title_full_unstemmed | Multi-Omics Advancements towards Plasmodium vivax Malaria Diagnosis |
title_short | Multi-Omics Advancements towards Plasmodium vivax Malaria Diagnosis |
title_sort | multi-omics advancements towards plasmodium vivax malaria diagnosis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700291/ https://www.ncbi.nlm.nih.gov/pubmed/34943459 http://dx.doi.org/10.3390/diagnostics11122222 |
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