Defining the role of cellular immune signatures in diagnostic evaluation of suspected tuberculosis

Research output: Contribution to journalArticlepeer-review

Authors

  • Alice Halliday
  • Tereza Masonou
  • Mica R Tolosa-Wright
  • Yanping Guo
  • Long Hoang
  • Robert Parker
  • Aime A Boakye
  • Amarjit Badhan
  • Pooja Jain
  • Ishita Marwah
  • Luis C. Berrocal-Almanza
  • Peter Beverley
  • Onn Min Kon
  • Ajit Lalvani

Colleges, School and Institutes

Abstract

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.

Bibliographic note

Final Version of Record not yet available as of 24/09/2021.

Details

Original languageEnglish
JournalThe Journal of Infectious Diseases
Publication statusAccepted/In press - 14 Jun 2021

Keywords

  • diagnostic, flow cytometry, latent tuberculosis infection, T cell, tuberculosis

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