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Immune Response to Mycobacterial Infection: Lessons from Flow Cytometry

Detecting and treating active and latent tuberculosis are pivotal elements for effective infection control; yet, due to their significant inherent limitations, the diagnostic means for these two stages of tuberculosis (TB) to date remain suboptimal. This paper reviews the current diagnostic tools fo...

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Autores principales: Rovina, Nikoletta, Panagiotou, Marios, Pontikis, Konstantinos, Kyriakopoulou, Magdalini, Koulouris, Nikolaos G., Koutsoukou, Antonia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3860082/
https://www.ncbi.nlm.nih.gov/pubmed/24376464
http://dx.doi.org/10.1155/2013/464039
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author Rovina, Nikoletta
Panagiotou, Marios
Pontikis, Konstantinos
Kyriakopoulou, Magdalini
Koulouris, Nikolaos G.
Koutsoukou, Antonia
author_facet Rovina, Nikoletta
Panagiotou, Marios
Pontikis, Konstantinos
Kyriakopoulou, Magdalini
Koulouris, Nikolaos G.
Koutsoukou, Antonia
author_sort Rovina, Nikoletta
collection PubMed
description Detecting and treating active and latent tuberculosis are pivotal elements for effective infection control; yet, due to their significant inherent limitations, the diagnostic means for these two stages of tuberculosis (TB) to date remain suboptimal. This paper reviews the current diagnostic tools for mycobacterial infection and focuses on the application of flow cytometry as a promising method for rapid and reliable diagnosis of mycobacterial infection as well as discrimination between active and latent TB: it summarizes diagnostic biomarkers distinguishing the two states of infection and also features of the distinct immune response against Mycobacterium tuberculosis (Mtb) at certain stages of infection as revealed by flow cytometry to date.
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spelling pubmed-38600822013-12-29 Immune Response to Mycobacterial Infection: Lessons from Flow Cytometry Rovina, Nikoletta Panagiotou, Marios Pontikis, Konstantinos Kyriakopoulou, Magdalini Koulouris, Nikolaos G. Koutsoukou, Antonia Clin Dev Immunol Review Article Detecting and treating active and latent tuberculosis are pivotal elements for effective infection control; yet, due to their significant inherent limitations, the diagnostic means for these two stages of tuberculosis (TB) to date remain suboptimal. This paper reviews the current diagnostic tools for mycobacterial infection and focuses on the application of flow cytometry as a promising method for rapid and reliable diagnosis of mycobacterial infection as well as discrimination between active and latent TB: it summarizes diagnostic biomarkers distinguishing the two states of infection and also features of the distinct immune response against Mycobacterium tuberculosis (Mtb) at certain stages of infection as revealed by flow cytometry to date. Hindawi Publishing Corporation 2013 2013-11-27 /pmc/articles/PMC3860082/ /pubmed/24376464 http://dx.doi.org/10.1155/2013/464039 Text en Copyright © 2013 Nikoletta Rovina et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Rovina, Nikoletta
Panagiotou, Marios
Pontikis, Konstantinos
Kyriakopoulou, Magdalini
Koulouris, Nikolaos G.
Koutsoukou, Antonia
Immune Response to Mycobacterial Infection: Lessons from Flow Cytometry
title Immune Response to Mycobacterial Infection: Lessons from Flow Cytometry
title_full Immune Response to Mycobacterial Infection: Lessons from Flow Cytometry
title_fullStr Immune Response to Mycobacterial Infection: Lessons from Flow Cytometry
title_full_unstemmed Immune Response to Mycobacterial Infection: Lessons from Flow Cytometry
title_short Immune Response to Mycobacterial Infection: Lessons from Flow Cytometry
title_sort immune response to mycobacterial infection: lessons from flow cytometry
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3860082/
https://www.ncbi.nlm.nih.gov/pubmed/24376464
http://dx.doi.org/10.1155/2013/464039
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