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Current Trends in Diagnostics of Viral Infections of Unknown Etiology
Viruses are evolving at an alarming rate, spreading and inconspicuously adapting to cutting-edge therapies. Therefore, the search for rapid, informative and reliable diagnostic methods is becoming urgent as ever. Conventional clinical tests (PCR, serology, etc.) are being continually optimized, yet...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077230/ https://www.ncbi.nlm.nih.gov/pubmed/32074965 http://dx.doi.org/10.3390/v12020211 |
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author | Kiselev, Daniel Matsvay, Alina Abramov, Ivan Dedkov, Vladimir Shipulin, German Khafizov, Kamil |
author_facet | Kiselev, Daniel Matsvay, Alina Abramov, Ivan Dedkov, Vladimir Shipulin, German Khafizov, Kamil |
author_sort | Kiselev, Daniel |
collection | PubMed |
description | Viruses are evolving at an alarming rate, spreading and inconspicuously adapting to cutting-edge therapies. Therefore, the search for rapid, informative and reliable diagnostic methods is becoming urgent as ever. Conventional clinical tests (PCR, serology, etc.) are being continually optimized, yet provide very limited data. Could high throughput sequencing (HTS) become the future gold standard in molecular diagnostics of viral infections? Compared to conventional clinical tests, HTS is universal and more precise at profiling pathogens. Nevertheless, it has not yet been widely accepted as a diagnostic tool, owing primarily to its high cost and the complexity of sample preparation and data analysis. Those obstacles must be tackled to integrate HTS into daily clinical practice. For this, three objectives are to be achieved: (1) designing and assessing universal protocols for library preparation, (2) assembling purpose-specific pipelines, and (3) building computational infrastructure to suit the needs and financial abilities of modern healthcare centers. Data harvested with HTS could not only augment diagnostics and help to choose the correct therapy, but also facilitate research in epidemiology, genetics and virology. This information, in turn, could significantly aid clinicians in battling viral infections. |
format | Online Article Text |
id | pubmed-7077230 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70772302020-03-20 Current Trends in Diagnostics of Viral Infections of Unknown Etiology Kiselev, Daniel Matsvay, Alina Abramov, Ivan Dedkov, Vladimir Shipulin, German Khafizov, Kamil Viruses Review Viruses are evolving at an alarming rate, spreading and inconspicuously adapting to cutting-edge therapies. Therefore, the search for rapid, informative and reliable diagnostic methods is becoming urgent as ever. Conventional clinical tests (PCR, serology, etc.) are being continually optimized, yet provide very limited data. Could high throughput sequencing (HTS) become the future gold standard in molecular diagnostics of viral infections? Compared to conventional clinical tests, HTS is universal and more precise at profiling pathogens. Nevertheless, it has not yet been widely accepted as a diagnostic tool, owing primarily to its high cost and the complexity of sample preparation and data analysis. Those obstacles must be tackled to integrate HTS into daily clinical practice. For this, three objectives are to be achieved: (1) designing and assessing universal protocols for library preparation, (2) assembling purpose-specific pipelines, and (3) building computational infrastructure to suit the needs and financial abilities of modern healthcare centers. Data harvested with HTS could not only augment diagnostics and help to choose the correct therapy, but also facilitate research in epidemiology, genetics and virology. This information, in turn, could significantly aid clinicians in battling viral infections. MDPI 2020-02-14 /pmc/articles/PMC7077230/ /pubmed/32074965 http://dx.doi.org/10.3390/v12020211 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Kiselev, Daniel Matsvay, Alina Abramov, Ivan Dedkov, Vladimir Shipulin, German Khafizov, Kamil Current Trends in Diagnostics of Viral Infections of Unknown Etiology |
title | Current Trends in Diagnostics of Viral Infections of Unknown Etiology |
title_full | Current Trends in Diagnostics of Viral Infections of Unknown Etiology |
title_fullStr | Current Trends in Diagnostics of Viral Infections of Unknown Etiology |
title_full_unstemmed | Current Trends in Diagnostics of Viral Infections of Unknown Etiology |
title_short | Current Trends in Diagnostics of Viral Infections of Unknown Etiology |
title_sort | current trends in diagnostics of viral infections of unknown etiology |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077230/ https://www.ncbi.nlm.nih.gov/pubmed/32074965 http://dx.doi.org/10.3390/v12020211 |
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