Broad adaptive immune responses to M. tuberculosis antigens precede TST conversion in tuberculosis exposed household contacts in a TB-endemic setting.

• Main Authors: Ulrike K Buchwald, Ifedayo M O Adetifa, Christian Bottomley, Patrick K Owiafe, Simon Donkor, Adama L Bojang, Jayne S Sutherland
• Format: Article
• Language: English
• Published: Public Library of Science (PLoS) 2014-01-01
• Series: PLoS ONE
• Online Access: http://europepmc.org/articles/PMC4280211?pdf=render

The identification of Mycobacterium-tuberculosis (Mtb) infected individuals remains a challenge due to an insufficient understanding of immune responses detected with the current diagnostic tests for latent tuberculosis i.e. the tuberculin skin test (TST) or IFN-γ release assays (IGRAs) and an inability to distinguish infection stages with current immunologic assays. Further classification based on markers other than IFN-γ may help to define markers of early Mtb infection.We assessed the TST status of Mtb-exposed household contacts at baseline and at 6 months. Contacts were classified into those with initial positive TST (TST+); those with baseline negative TST but TST conversion at 6 months (TST converters, TSTC) and those with persistently negative TST (PTST-). We assessed their short- and long-term immune responses to PPD and ESAT-6/CFP-10 (EC) via IFN-γ ELISPOT and a multiplex cytokine array in relation to TST status and compared them to those of TB cases to identify immune profiles associated with a spectrum of infection stages.After 1 and 6 days stimulation with EC, 12 cytokines (IFN-γ, IL-2, IP-10, TNF-α, IL-13, IL-17, IL-10, GMCSF, MIP-1β, MCP-3, IL-2RA and IL-1A) were not different in TSTC compared to TST+ suggesting that robust adaptive Mtb-specific immune responses precede TST conversion. Stratifying contacts by baseline IFN-γ ELISPOT to EC in combination with TST results revealed that IP-10 and IL-17 were highest in the group of TST converters with positive baseline ELISPOT, suggesting they might be markers for recent infection.We describe a detailed analysis of Mtb-specific biomarker profiles in exposed household contacts in a TB endemic area that provides insights into the dynamic immune responses to Mtb infection and may help to identify biomarkers for 'at-risk' populations beyond TST and IGRA.