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Defining the Role of Cellular Immune Signatures in Diagnostic Evaluation of Suspected Tuberculosis

BACKGROUND: Diagnosis 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 la...

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Detalles Bibliográficos
Autores principales: Halliday, Alice, Masonou, Tereza, Tolosa-Wright, Mica R, Guo, Yanping, Hoang, Long, Parker, Robert, Boakye, Aime, Takwoingi, Yemisi, Badhan, Amarjit, Jain, Pooja, Marwah, Ishita, Berrocal-Almanza, Luis C, Deeks, Jonathan, Beverley, Peter, Kon, Onn Min, Lalvani, Ajit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9071295/
https://www.ncbi.nlm.nih.gov/pubmed/34331451
http://dx.doi.org/10.1093/infdis/jiab311
Descripción
Sumario:BACKGROUND: Diagnosis 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. METHODS: Using 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. RESULTS: All 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. CONCLUSIONS: Two 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.