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Uncovering the hidden: complexity and strategies for diagnosing latent tuberculosis

Tuberculosis produces two clinical manifestations: active and latent (non-apparent) disease. The latter is estimated to affect one-third of the world population and constitutes a source of continued transmission should the disease emerge from its hidden state (reactivation). Methods to diagnose late...

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Autor principal: Flores-Valdez, Mario Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shared Science Publishers OG 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5695853/
https://www.ncbi.nlm.nih.gov/pubmed/29167798
http://dx.doi.org/10.15698/mic2017.11.596
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author Flores-Valdez, Mario Alberto
author_facet Flores-Valdez, Mario Alberto
author_sort Flores-Valdez, Mario Alberto
collection PubMed
description Tuberculosis produces two clinical manifestations: active and latent (non-apparent) disease. The latter is estimated to affect one-third of the world population and constitutes a source of continued transmission should the disease emerge from its hidden state (reactivation). Methods to diagnose latent TB have been evolving and aim to detect the disease in people who are truly infected with M. tuberculosis, versus those where other mycobacteria, or even other pathologies not related to TB, are present. The current use of proteomic and transcriptomic approaches may lead to improved detection methods in the coming years.
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spelling pubmed-56958532017-11-22 Uncovering the hidden: complexity and strategies for diagnosing latent tuberculosis Flores-Valdez, Mario Alberto Microb Cell Microbiology Tuberculosis produces two clinical manifestations: active and latent (non-apparent) disease. The latter is estimated to affect one-third of the world population and constitutes a source of continued transmission should the disease emerge from its hidden state (reactivation). Methods to diagnose latent TB have been evolving and aim to detect the disease in people who are truly infected with M. tuberculosis, versus those where other mycobacteria, or even other pathologies not related to TB, are present. The current use of proteomic and transcriptomic approaches may lead to improved detection methods in the coming years. Shared Science Publishers OG 2017-10-24 /pmc/articles/PMC5695853/ /pubmed/29167798 http://dx.doi.org/10.15698/mic2017.11.596 Text en https://creativecommons.org/licenses/by/4.0/ This is an open-access article released under the terms of the Creative Commons Attribution (CC BY) license, which allows the unrestricted use, distribution, and reproduction in any medium, provided the original author and source are acknowledged.
spellingShingle Microbiology
Flores-Valdez, Mario Alberto
Uncovering the hidden: complexity and strategies for diagnosing latent tuberculosis
title Uncovering the hidden: complexity and strategies for diagnosing latent tuberculosis
title_full Uncovering the hidden: complexity and strategies for diagnosing latent tuberculosis
title_fullStr Uncovering the hidden: complexity and strategies for diagnosing latent tuberculosis
title_full_unstemmed Uncovering the hidden: complexity and strategies for diagnosing latent tuberculosis
title_short Uncovering the hidden: complexity and strategies for diagnosing latent tuberculosis
title_sort uncovering the hidden: complexity and strategies for diagnosing latent tuberculosis
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5695853/
https://www.ncbi.nlm.nih.gov/pubmed/29167798
http://dx.doi.org/10.15698/mic2017.11.596
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