Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine
Bacterial Infections and Mycoses | Infectious Disease | Microbiology
Interferon-gamma Release Assays (IGRAs) significantly increases the possibility for early diagnosis of tuberculosis, but IGRAs alone cannot discriminate active TB from LTBI. Therefore, fast and reliable discrimination of active tuberculosis, especially bacteriology negative tuberculosis, from LTBI is a great necessity. Here we established an assay based on flow cytometric multiparameter assay assessing expression of CD161 along with CD3, CD4, and CD8, whereby a set of indices formulated by the percentages of CD3(+)CD161(+), CD3(+)CD4(+)CD161(+) and CD3(+)CD8(+)CD161(+) T cells multiplied with lymphocyte/monocyte ratio were established. Application of the CD3(+)CD8(+)CD161(+) index to compare a cohort of active tuberculosis with a cohort of LTBI or health control yielded 0.7662 (95% confidence interval [CI] 0.6559-0.8552) or 0.7922 (95% CI 0.6846-0.8763) for sensitivity and 0.9048 (95% CI 0.8209-0.9580) or 0.8939 (95% CI 0.8392-0.9349) for specificity when the TB cohort was AFB(+); the corresponding results were 0.7481 (95% CI 0.6648-0.8198) or 0.7557 (95% CI 0.6730-0.8265) for sensitivity and 0.8571 (95% CI 0.7637-0.9239) or 0.8603 (95% CI 0.8008-0.9075) for specificity when the TB cohort was AFB(-). Our results reveal that in combination with IGRAs, CD161-based indices provide a novel, fast diagnostic solution addressing the limitation of current tuberculosis diagnostics.
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DOI of Published Version
Sci Rep. 2015 Dec 8;5:17918. doi: 10.1038/srep17918. Link to article on publisher's site
Yang Q, Xu Q, Chen Q, Li J, Zhang M, Cai Y, Liu H, Zhou Y, Deng G, Deng Q, Zhou B, Kornfeld H, Chen X. (2015). Discriminating Active Tuberculosis from Latent Tuberculosis Infection by flow cytometric measurement of CD161-expressing T cells. Open Access Articles. https://doi.org/10.1038/srep17918. Retrieved from https://escholarship.umassmed.edu/oapubs/2646
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.