As eloquently described by Javid Syed in a chapter
of TAG’s recent pipeline report, TB diagnostics remain woefully inadequate for
addressing the challenges presented by the disease. One key goal for scientists
is to find ways to better discriminate active from latent infection, and two
recent papers describe possible progress in this effort.
In the journal Nature, Matthew Berry and colleagues use a
systems biology approach to identify a gene expression pattern associated with
active TB, and speculate that this pattern may be able to identify the
individuals with latent infection most likely to develop disease; however,
longitudinal studies will be needed to show whether this is indeed the case.
The work is encouraging in that it suggests that new technologies may be able
to address previously intractable problems in TB diagnosis, but translating
these advances into something usable at the health posts where most people seek
TB care will still be a daunting task.
The second paper in PLoS One reports on a more traditional
approach of measuring cytokine production in whole blood (as is currently done
with interferon gamma-based assays) but analyzes a broader range of cytokines
after 7 days of in vitro stimulation with TB antigens. The researchers report
that a combined analysis of TNF-alpha, IL-12 and IL-17 production after
stimulation with the TB10.4 antigen was better able to discriminate between
active TB cases and latent infection than the use of interferon gamma alone.
Nature. 2010 Aug 19;466(7309):973-7.
An interferon-inducible neutrophil-driven blood
transcriptional signature in human tuberculosis.
Berry MP, Graham CM, McNab FW, Xu Z, Bloch SA, Oni T,
Wilkinson KA, Banchereau R, Skinner J, Wilkinson RJ, Quinn C, Blankenship D,
Dhawan R, Cush JJ, Mejias A, Ramilo O, Kon OM, Pascual V, Banchereau J,
Chaussabel D, O'Garra A.
Division of Immunoregulation, MRC National Institute for
Medical Research, The Ridgeway, Mill Hill, London NW7 1AA, UK.
Abstract
Tuberculosis (TB), caused by infection with Mycobacterium
tuberculosis, is a major cause of morbidity and mortality worldwide. Efforts to
control it are hampered by difficulties with diagnosis, prevention and
treatment. Most people infected with M. tuberculosis remain asymptomatic,
termed latent TB, with a 10% lifetime risk of developing active TB disease.
Current tests, however, cannot identify which individuals will develop disease.
The immune response to M. tuberculosis is complex and incompletely
characterized, hindering development of new diagnostics, therapies and
vaccines. Here we identify a whole-blood 393 transcript signature for active TB
in intermediate and high-burden settings, correlating with radiological extent
of disease and reverting to that of healthy controls after treatment. A subset
of patients with latent TB had signatures similar to those in patients with
active TB. We also identify a specific 86-transcript signature that
discriminates active TB from other inflammatory and infectious diseases.
Modular and pathway analysis revealed that the TB signature was dominated by a
neutrophil-driven interferon (IFN)-inducible gene profile, consisting of both
IFN-gamma and type I IFN-alphabeta signalling. Comparison with transcriptional
signatures in purified cells and flow cytometric analysis suggest that this TB
signature reflects changes in cellular composition and altered gene expression.
Although an IFN-inducible signature was also observed in whole blood of
patients with systemic lupus erythematosus (SLE), their complete modular
signature differed from TB, with increased abundance of plasma cell
transcripts. Our studies demonstrate a hitherto underappreciated role of type I
IFN-alphabeta signalling in the pathogenesis of TB, which has implications for
vaccine and therapeutic development. Our study also provides a broad range of
transcriptional biomarkers with potential as diagnostic and prognostic tools to
combat the TB epidemic.
PLoS One. 2010 Aug 24;5(8). pii: e12365.
Production of TNF-alpha, IL-12(p40) and IL-17 Can
Discriminate between Active TB Disease and Latent Infection in a West African
Cohort.
Sutherland JS, de Jong BC, Jeffries DJ, Adetifa IM, Ota MO.
Bacterial Diseases Programme, Medical Research Council
Laboratories, Banjul, The Gambia.
Abstract
BACKGROUND: Mycobacterium tuberculosis (MTb) infects
approximately 2 billion people world-wide resulting in almost 2 million deaths
per year. Determining biomarkers that distinguish different stages of
tuberculosis (TB) infection and disease will provide tools for more effective
diagnosis and ultimately aid in the development of new vaccine candidates. The
current diagnostic kits utilising production of IFN-gamma in response to TB
antigens can detect MTb infection but are unable to distinguish between
infection and disease. The aim of this study was to assess if the use of a
longer term assay and the analysis of multiple cytokines would enhance
diagnosis of active TB in a TB-endemic population.
METHODS: We compared production of multiple cytokines
(TNF-alpha, IFN-gamma, IL-10, IL-12(p40), IL-13, IL-17 and IL-18) following
long-term (7 days) stimulation of whole-blood with TB antigens (ESAT-6/CFP-10
(EC), PPD or TB10.4) from TB cases (n = 36) and their Mycobacterium-infected
(TST+; n = 20) or uninfected (TST-; n = 19) household contacts (HHC).
RESULTS AND CONCLUSIONS: We found that TNF-alpha production
following EC stimulation and TNF-alpha and IL-12(p40) following TB10.4
stimulation were significantly higher from TB cases compared to TST+ HHC, while
production of IFN-gamma and IL-13 were significantly higher from TST+ compared
to TST- HHC following PPD or EC stimulation. Combined analysis of TNF-alpha,
IL-12(p40) and IL-17 following TB10.4 stimulation resulted in 85% correct
classification into TB cases or TST+ HHC. 74% correct classification into TST+
or TST- HHC was achieved with IFN-gamma alone following TB10.4 stimulation (69%
following EC) and little enhancement was seen with additional cytokines. We
also saw a tendency for TB cases infected with M. africanum to have increased
TNF-alpha and IL-10 production compared to those infected with M. tuberculosis.
Our results provide further insight into the pathogenesis of tuberculosis and
may enhance the specificity of the currently available diagnostic tests,
particularly for diagnosis of active TB.
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