Understanding immune protection against tuberculosis using RNA expression profiling.
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Published version
Author(s)
von Both, U
Levin, M
Kaforou, M
Newton, SM
Type
Journal Article
Abstract
A major limitation in the development and testing of new tuberculosis (TB) vaccines is the current inadequate understanding of the nature of the immune response required for protection against either infection with Mycobacterium tuberculosis (MTB) or progression to disease. Genome wide RNA expression analysis has provided a new tool with which to study the inflammatory and immunological response to mycobacteria. To explore how currently available transcriptomic data might be used to understand the basis of protective immunity to MTB, we analysed and reviewed published RNA expression studies to (1) identify a “susceptible” immune response in patients with acquired defects in the interferon gamma pathway; (2) identify the “failing” transcriptomic response in patients with TB as compared with latent TB infection (LTBI); and (3) identify elements of the “protective” response in healthy latently infected and healthy uninfected individuals.
Abbreviations
TB, tuberculosis; MTB, Mycobacterium tuberculosis; IFN-γ, interferon-gamma; PBMC, peripheral blood mononuclear cells; MSMD, Mendelian susceptibility to mycobacterial disease; BCG, bacille Calmette–Guerin; LTBI, latent tuberculosis infection
Keywords
Transcriptomics; RNA expression profiling; Tuberculosis; Vaccines; Interferon-γ; Type I interferon
Abbreviations
TB, tuberculosis; MTB, Mycobacterium tuberculosis; IFN-γ, interferon-gamma; PBMC, peripheral blood mononuclear cells; MSMD, Mendelian susceptibility to mycobacterial disease; BCG, bacille Calmette–Guerin; LTBI, latent tuberculosis infection
Keywords
Transcriptomics; RNA expression profiling; Tuberculosis; Vaccines; Interferon-γ; Type I interferon
Date Acceptance
2015-05-29
Citation
Vaccine, 33 (40), pp.5289-5293
ISSN
1873-2518
Publisher
Elsevier
Start Page
5289
End Page
5293
Journal / Book Title
Vaccine
Volume
33
Issue
40
Copyright Statement
© 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND
license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Publication Status
Published