ArticleThe Journal of infectious diseases2022
Defining the Role of Cellular Immune Signatures in Diagnostic Evaluation of Suspected Tuberculosis.
Article in The Journal of infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Optimisation and application of a T-cell antigen-specific activation assay as diagnostic and treatment-monitoring tool for tuberculosis.ERJ open research · 2026Article
- Drug-resistant tuberculosis and pulmonary co-infections in immunocompromised patients: from multi-omics to precision therapy.Frontiers in microbiology · 2026Review
- Analysis of the clinical value and influencing factors of combined detection of tuberculosis-specific cytokines IFN-γ and IL-2 in the diagnosis of active tuberculosis in children and adolescents.European journal of medical research · 2025Article
- Personalised Medicine for Tuberculosis and Non-Tuberculous Mycobacterial Pulmonary Disease.Microorganisms · 2021Review
Corrections and comments
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Authors and funding
16 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundDiagnosis of paucibacillary tuberculosis (TB) including extrapulmonary TB is a significant challenge, particularly in high-income, low-incidence settings. Measurement of Mycobacterium tuberculosis (Mtb)-specific cellular immune signatures by flow cytometry discriminates active TB from latent TB infection (LTBI) in case-control studies; however, their diagnostic accuracy and clinical utility in routine clinical practice is unknown.
methodsUsing a nested case-control study design within a prospective multicenter cohort of patients presenting with suspected TB in England, we assessed diagnostic accuracy of signatures in 134 patients who tested interferon-gamma release assay (IGRA)-positive and had final diagnoses of TB or non-TB diseases with coincident LTBI. Cellular signatures were measured using flow cytometry.
resultsAll signatures performed less well than previously reported. Only signatures incorporating measurement of phenotypic markers on functional Mtb-specific CD4 T cells discriminated active TB from non-TB diseases with LTBI. The signatures measuring HLA-DR+IFNγ + CD4 T cells and CD45RA-CCR7-CD127- IFNγ -IL-2-TNFα + CD4 T cells performed best with 95% positive predictive value (95% confidence interval, 90-97) in the clinically challenging subpopulation of IGRA-positive but acid-fast bacillus (AFB) smear-negative TB suspects.
conclusionsTwo cellular immune signatures could improve and accelerate diagnosis in the challenging group of patients who are IGRA-positive, AFB smear-negative, and have paucibacillary TB.
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Registered trials
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