Correlates of tuberculosis risk : predictive biomarkers for progression to active tuberculosis
Copyright ©ERS 2016..
New approaches to control the spread of tuberculosis (TB) are needed, including tools to predict development of active TB from latent TB infection (LTBI). Recent studies have described potential correlates of risk, in order to inform the development of prognostic tests for TB disease progression. These efforts have included unbiased approaches employing "omics" technologies, as well as more directed, hypothesis-driven approaches assessing a small set or even individual selected markers as candidate correlates of TB risk. Unbiased high-throughput screening of blood RNAseq profiles identified signatures of active TB risk in individuals with LTBI, ≥1 year before diagnosis. A recent infant vaccination study identified enhanced expression of T-cell activation markers as a correlate of risk prior to developing TB; conversely, high levels of Ag85A antibodies and high frequencies of interferon (IFN)-γ specific T-cells were associated with reduced risk of disease. Others have described CD27-IFN-γ+CD4+ T-cells as possibly predictive markers of TB disease. T-cell responses to TB latency antigens, including heparin-binding haemagglutinin and DosR-regulon-encoded antigens have also been correlated with protection.Further studies are needed to determine whether correlates of risk can be used to prevent active TB through targeted prophylactic treatment, or to allow targeted enrolment into efficacy trials of new TB vaccines and therapeutic drugs.
Errataetall: |
CommentIn: Eur Respir J. 2017 May 25;49(5):. - PMID 28546270 |
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Medienart: |
E-Artikel |
Erscheinungsjahr: |
2016 |
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Erschienen: |
2016 |
Enthalten in: |
Zur Gesamtaufnahme - volume:48 |
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Enthalten in: |
The European respiratory journal - 48(2016), 6 vom: 01. Dez., Seite 1751-1763 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Petruccioli, Elisa [VerfasserIn] |
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Links: |
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Themen: |
82115-62-6 |
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Anmerkungen: |
Date Completed 09.02.2018 Date Revised 08.04.2022 published: Print-Electronic CommentIn: Eur Respir J. 2017 May 25;49(5):. - PMID 28546270 Citation Status MEDLINE |
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doi: |
10.1183/13993003.01012-2016 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM266129358 |
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520 | |a New approaches to control the spread of tuberculosis (TB) are needed, including tools to predict development of active TB from latent TB infection (LTBI). Recent studies have described potential correlates of risk, in order to inform the development of prognostic tests for TB disease progression. These efforts have included unbiased approaches employing "omics" technologies, as well as more directed, hypothesis-driven approaches assessing a small set or even individual selected markers as candidate correlates of TB risk. Unbiased high-throughput screening of blood RNAseq profiles identified signatures of active TB risk in individuals with LTBI, ≥1 year before diagnosis. A recent infant vaccination study identified enhanced expression of T-cell activation markers as a correlate of risk prior to developing TB; conversely, high levels of Ag85A antibodies and high frequencies of interferon (IFN)-γ specific T-cells were associated with reduced risk of disease. Others have described CD27-IFN-γ+CD4+ T-cells as possibly predictive markers of TB disease. T-cell responses to TB latency antigens, including heparin-binding haemagglutinin and DosR-regulon-encoded antigens have also been correlated with protection.Further studies are needed to determine whether correlates of risk can be used to prevent active TB through targeted prophylactic treatment, or to allow targeted enrolment into efficacy trials of new TB vaccines and therapeutic drugs | ||
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