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Active Tuberculosis Is Characterized by Highly Differentiated Effector Memory Th1 Cells.

Riccardo Arrigucci1, Karim Lakehal1, Pooja Vir1

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Frontiers in Immunology
|October 5, 2018
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Summary
This summary is machine-generated.

A new RNA flow cytometry assay detects immune differences between latent tuberculosis infection (LTBI) and active tuberculosis (TB). This method identifies more Th1 cells in active TB, aiding in disease diagnosis and progression risk assessment.

Keywords:
FISH-FlowT cell activationcytokineflow cytometryimmunophenotypingmemory T cellssingle-cell gene expression

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Area of Science:

  • Immunology
  • Molecular Biology
  • Infectious Diseases

Background:

  • Current diagnostics for latent Mycobacterium tuberculosis infection (LTBI) cannot distinguish it from active tuberculosis (TB) or predict disease progression.
  • Existing assays measure single parameters like IFN-γ protein release after prolonged T cell stimulation, failing to capture dynamic immune responses.

Purpose of the Study:

  • To develop and evaluate a novel, semi-automated RNA flow cytometry assay for differentiating LTBI from active TB.
  • To identify immunological differences in T cell responses between LTBI and active TB stages.

Main Methods:

  • Analysis of antigen-induced Th1 cytokine mRNA (IFNG, TNFA) expression in CD4+ T cells after short (2- and 6-h) ex vivo stimulation.
  • Immunophenotyping of memory T cells, including assessment of CD27 and PD-1 expression.

Main Results:

  • Antigen stimulation rapidly induced IFNG and TNFA mRNA in CD4+ T cells within 2 hours.
  • Active TB showed a higher frequency of IFNG- and TNFA-expressing CD4+ T cells (Th1 cells) compared to LTBI.
  • Active TB exhibited increased ratios of effector memory to central memory Th1 cells, linked to T cell differentiation (CD27 loss) but not exhaustion (PD-1 abundance).

Conclusions:

  • Single-cell, mRNA-based measurements offer a sensitive approach to detect quantitative, time-dependent differences in T cell function between LTBI and active TB.
  • The novel assay may improve the diagnosis of active TB and the prediction of LTBI progression.
  • Identifying distinct T cell phenotypes associated with active TB could inform therapeutic strategies.