Abstract

Event Abstract Back to Event Combined detection of IFNγ, TGFα and IL-6 cаn discriminate between active TB disease and latent infection Elena V. Vasilyeva1*, Vyacheslav N. Verbov1, Irina Y. Nikitina2, Irina V. Lyadova2 and Areg A. Totolian1 1 St. Petersburg Pasteur Institute, Russia 2 Central Tuberculosis Research Institute, Russia Interferon gamma release assays are used for diagnosing Mycobacterium tuberculosis ( M.tb.) infection. However these tests fail to differentiate active TB from latent TB infection (LTBI). Aim: Selection of informative biomarkers for the diagnosing M.tb. infection and for discriminating between latent TB infection (LTBI) and active TB disease. Materials and methods: We recruited 54 TB patients, 47 TB contacts and 43 healthy donors and performed the “QuantiFERON-TB Gold In-Tube” (“Cellestis”, Аustralia). Using XMap technology levels of 10 cytokines (EGF, MIP-1β, VEGF, IL-2, IL-4, IL-6, IL-1α, IFN-α2, TGFα, TNFα) as well as sIL-2Rα and sCD40L were evaluated in unstimulated (NIL) and Mycobacterium tuberculosis specific antigen (AG) stimulated plasma. We also determined levels of IP-10 in 48 patients by ELISA. Results: Six out of 13 biomarkers distinguished active TB from LTBI . As a result of making “ decision tree” in JMP 9.0 software, we choose three the most informative cytokines. The combination between IFNγ, TGFα and IL-6 may possible to distinguish active TB from latent infection with sensitivity 96,3% and specifity 80,7% (AUC=0,9). We also observed very high levels of IP-10 and IL-2, which correlated with IFNγ levels (r=0,71 and 0,79 respectively). Conclusion: IL-2 or IP-10 as well as IFNγ, detection could be used in a first step to diagnose ( M.tb.) infection. A second step of the test could be performed if positive IL-2 / IP-10 / IFNγ results are obtained to measure three-marker combination of IFNγ, TGFα and IL-6 to differentiate individuals with active TB from LTBI. Keywords: latent infection, IFNγ, xMap, QuantiFERON-TB Gold In-Tube, pulmonary tuberculosis Conference: 15th International Congress of Immunology (ICI), Milan, Italy, 22 Aug - 27 Aug, 2013. Presentation Type: Abstract Topic: Immune-mediated disease pathogenesis Citation: Vasilyeva EV, Verbov VN, Nikitina IY, Lyadova IV and Totolian AA (2013). Combined detection of IFNγ, TGFα and IL-6 cаn discriminate between active TB disease and latent infection. Front. Immunol. Conference Abstract: 15th International Congress of Immunology (ICI). doi: 10.3389/conf.fimmu.2013.02.00030 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 08 Mar 2013; Published Online: 22 Aug 2013. * Correspondence: Miss. Elena V Vasilyeva, St. Petersburg Pasteur Institute, St. Petersburg, Russia, ev_vasilyeva@pasteurorg.ru Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Elena V Vasilyeva Vyacheslav N Verbov Irina Y Nikitina Irina V Lyadova Areg A Totolian Google Elena V Vasilyeva Vyacheslav N Verbov Irina Y Nikitina Irina V Lyadova Areg A Totolian Google Scholar Elena V Vasilyeva Vyacheslav N Verbov Irina Y Nikitina Irina V Lyadova Areg A Totolian PubMed Elena V Vasilyeva Vyacheslav N Verbov Irina Y Nikitina Irina V Lyadova Areg A Totolian Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.

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