Cytokine profiles to differentiate between active and latent tuberculosis infections in patients attending the Tuberculosis Clinic at Mulago Hospital

dc.contributor.author Namuganga, Anna Ritah
dc.date.accessioned 2014-08-06T05:45:21Z
dc.date.available 2014-08-06T05:45:21Z
dc.date.issued 2013-02
dc.description A Thesis submitted to the Graduate School in partial fulfillment of the requirements for the award of the Degree of Master of Science in Molecular Biology and Biotechnology of Makerere University en_US
dc.description.abstract Quantiferon based Interferon Gamma release Assays can diagnose exposure to Mycobacterium tuberculosis (M.tb). These however do not differentiate between active and latent tuberculosis infection (LTBI). This study aimed at identifying quantiferon supernatant cytokine marker sensitivity in differentiating active tuberculosis from latent infection by analyzing 12 cytokines that have shown promising ability in detecting active TB. This involved using the luminex platform assay. MGIT positivity was used as the Gold standard for diagnosis of active tuberculosis disease while positive quantiferon indicated latent tuberculosis infection. Sixty seven subjects with clinical suspicion of pulmonary tuberculosis were recruited in Kampala, Uganda under the AETBC study and their blood was cultured in Quantiferon Gold tubes. Baseline levels of TGFα, sCD40L, MMP2, antigen stimulated levels of TGFα, sCD40L, MMP2, MMP9, IFNγ, IP-10 and corrected antigen stimulated levels of IFNγ, IP-10 and MMP9 showed potential to differentiate between active disease and latent infection as well as diagnosing disease with significant p values ranging between <0.0001 to 0.03. Combinations between sCD40L, VEGF, EGF, MMP2 and 9, IP-10 showed promising prediction accuracy in distinguishing latent and active disease states. This data suggests that active TB may be differentiated from LTBI and from healthy individuals by analyzing IFNγ, IP-10, TGFα, sCD40L, MMP2 & TNFα in Quantiferon supernatants. This has a potential of being used to develop a new diagnostic tool for tuberculosis. en_US
dc.description.sponsorship African European Tuberculosis Consortium en_US
dc.identifier.citation Namuganga, A.R. (2013). Cytokine profiles to differentiate between active and latent tuberculosis infections in patients attending the Tuberculosis Clinic at Mulago Hospital (Unpublished master's thesis). Makerere University, Kampala, Uganda en_US
dc.identifier.uri http://hdl.handle.net/10570/3475
dc.language.iso en en_US
dc.publisher Makerere University en_US
dc.subject Tuberculosis patients en_US
dc.subject Cytokine profiles en_US
dc.subject Active infections en_US
dc.subject Latent infections en_US
dc.subject Differentiation en_US
dc.subject Tuberculosis Clinic, Mulago Hospital, Uganda en_US
dc.title Cytokine profiles to differentiate between active and latent tuberculosis infections in patients attending the Tuberculosis Clinic at Mulago Hospital en_US
dc.type Thesis en_US
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