2015
DOI: 10.1164/rccm.201501-0059oc
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Mycobacteria-Specific Cytokine Responses Detect Tuberculosis Infection and Distinguish Latent from Active Tuberculosis

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Cited by 103 publications
(99 citation statements)
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“…Our results, showing that 8/15 TST + /QFT -children screened positive with our IP-10 release assay, agree with the concept that combining IFN-γ and IP-10 testing may be one approach to increase the sensitivity of QFT in young children [6]. Our results also agree with previous studies showing an IL-13 response to M.tb peptides in pediatric TB [7][8][9].…”
Section: *Corresponding Authorsupporting
confidence: 91%
“…Our results, showing that 8/15 TST + /QFT -children screened positive with our IP-10 release assay, agree with the concept that combining IFN-γ and IP-10 testing may be one approach to increase the sensitivity of QFT in young children [6]. Our results also agree with previous studies showing an IL-13 response to M.tb peptides in pediatric TB [7][8][9].…”
Section: *Corresponding Authorsupporting
confidence: 91%
“…however, IGRAs more often present with indeterminate or false negative results, which is particularly the case for young and immune-compromised children [2,[4][5][6][7]. Identification of novel cytokine biomarkers that can improve the performance of IGRAs (independently or in combination with IFN-γ) has been evaluated by several studies [8][9][10]. These studies demonstrated that additional cytokines and cytokine combinations might contribute to the detection of M. tuberculosis infection and active tuberculosis in children [8,[11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…A similar approach combining the QGIT, TST, and cytokine profiles was assessed by Tebruegge and colleagues looking at 149 children with possible TB (12). The cytokine profiles assessed included IFN-g, IFN-inducible protein-10 (IP-10), tumor necrosis factora, IL-1ra, IL-2, IL-13, and macrophage inflammatory protein-1b, and the study assessed whether combinations of the cytokine profiles in addition to the results of the TST and QGIT could distinguish between latent and active TB.…”
Section: Diagnosis Of Latent and Active Diseasementioning
confidence: 99%