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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Clinical and Developmental Immunology |
| Online Access: | http://dx.doi.org/10.1155/2013/464039 |
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| author | Nikoletta Rovina Marios Panagiotou Konstantinos Pontikis Magdalini Kyriakopoulou Nikolaos G. Koulouris Antonia Koutsoukou |
| author_facet | Nikoletta Rovina Marios Panagiotou Konstantinos Pontikis Magdalini Kyriakopoulou Nikolaos G. Koulouris Antonia Koutsoukou |
| author_sort | Nikoletta Rovina |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-edfb4c029bbd4db78bc4e3c0f07bf98e |
| institution | Kabale University |
| issn | 1740-2522 1740-2530 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Clinical and Developmental Immunology |
| spelling | doaj-art-edfb4c029bbd4db78bc4e3c0f07bf98e2025-02-03T07:24:47ZengWileyClinical and Developmental Immunology1740-25221740-25302013-01-01201310.1155/2013/464039464039Immune Response to Mycobacterial Infection: Lessons from Flow CytometryNikoletta Rovina0Marios Panagiotou1Konstantinos Pontikis2Magdalini Kyriakopoulou3Nikolaos G. Koulouris4Antonia Koutsoukou5Intensive Care Unit, 1st Department of Respiratory Medicine, Medical School, National and Kapodistrian University of Athens and “Sotiria” Chest Disease Hospital, 152 Mesogeion Avenue, 11527 Athens, Greece3rd Department of Pulmonology, Sismanoglio General Hospital, 15126 Athens, GreeceIntensive Care Unit, 1st Department of Respiratory Medicine, Medical School, National and Kapodistrian University of Athens and “Sotiria” Chest Disease Hospital, 152 Mesogeion Avenue, 11527 Athens, GreeceIntensive Care Unit, 1st Department of Respiratory Medicine, Medical School, National and Kapodistrian University of Athens and “Sotiria” Chest Disease Hospital, 152 Mesogeion Avenue, 11527 Athens, Greece1st Department of Respiratory Medicine, Medical School, National and Kapodistrian University of Athens and “Sotiria” Chest Disease Hospital, 11527 Athens, GreeceIntensive Care Unit, 1st Department of Respiratory Medicine, Medical School, National and Kapodistrian University of Athens and “Sotiria” Chest Disease Hospital, 152 Mesogeion Avenue, 11527 Athens, GreeceDetecting 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.http://dx.doi.org/10.1155/2013/464039 |
| spellingShingle | Nikoletta Rovina Marios Panagiotou Konstantinos Pontikis Magdalini Kyriakopoulou Nikolaos G. Koulouris Antonia Koutsoukou Immune Response to Mycobacterial Infection: Lessons from Flow Cytometry Clinical and Developmental Immunology |
| 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 |
| url | http://dx.doi.org/10.1155/2013/464039 |
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