ArticleScientific reports2015
Discriminating Active Tuberculosis from Latent Tuberculosis Infection by flow cytometric measurement of CD161-expressing T cells.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Diagnostic performance of biomarkers for differentiating active tuberculosis from latent tuberculosis: a systematic review and Bayesian network meta-analysis.Frontiers in microbiology · 2024Pooled it
- Detection for New Biomarkers of Tuberculosis Infection Activity Using Machine Learning Methods.Diseases (Basel, Switzerland) · 2026Review
- Alterations in the Immune Response in Individuals with Latent Tuberculosis Infection.Pathogens (Basel, Switzerland) · 2025Review
- Diagnostic accuracy of interferon-gamma release assay and mucosal-associated invariant T cells in spinal tuberculosis.Scientific reports · 2025Article
- High-parameter phenotypic characterization reveals a subset of human Th17 cells that preferentially produce IL17 againstbioRxiv : the preprint server for biology · 2024Article
- High-parameter phenotypic characterization reveals a subset of human Th17 cells that preferentially produce IL-17 againstFrontiers in immunology · 2024Article
- Advances in Diagnostics and Drug Discovery against Resistant and Latent Tuberculosis Infection.Pharmaceutics · 2023Review
- Evolution of tuberculosis diagnostics: From molecular strategies to nanodiagnostics.Tuberculosis (Edinburgh, Scotland) · 2023Review
- Proteomics in Biomarker Discovery for Tuberculosis: Current Status and Future Perspectives.Frontiers in microbiology · 2022Review
- Case-control diagnostic accuracy study of a non-sputum CD38-based TAM-TB test from a single milliliter of blood.Scientific reports · 2021Article
- The role of donor-unrestricted T-cells, innate lymphoid cells, and NK cells in anti-mycobacterial immunity.Immunological reviews · 2021Review
- Microbiome-immune interactions in tuberculosis.PLoS pathogens · 2021Review
- Article
- A CD4+CD161+ T-Cell Subset Present in Unexposed Humans, Not Tb Patients, Are Fast Acting Cells That Inhibit the Growth of Intracellular Mycobacteria Involving CD161 Pathway, Perforin, and IFN-γ/Autophagy.Frontiers in immunology · 2021Article
- Characterisation of secretome-based immune responses of human leukocytes infected with variousPeerJ · 2021Article
- Flow Cytometry: From Experimental Design to Its Application in the Diagnosis and Monitoring of Respiratory Diseases.International journal of molecular sciences · 2020Review
- The biology and functional importance of MAIT cells.Nature immunology · 2019Review
- LatentFrontiers in immunology · 2018Article
- Functional and Phenotypic Changes of Natural Killer Cells in Whole Blood duringFrontiers in immunology · 2018Article
- An Integrated Workflow To Assess Technical and Biological Variability of Cell Population Frequencies in Human Peripheral Blood by Flow Cytometry.Journal of immunology (Baltimore, Md. : 1950) · 2017Article
Corrections and comments
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Authors and funding
13 authors at 7 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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