Multicolor flow cytometric analyses of CD4+ T cell responses to Mycobacterium tuberculosis-related latent antigens

Yoshiro Yamashita1, Yoshihiko Hoshino, Mayuko Oka

  • 1Department of Clinical Medicine, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan.

Insights

Detecting latent tuberculosis (TB) requires sensitive tests. New CD4(+) T cell cytokine responses, including IL-17, show promise for diagnosing TB infection, improving upon interferon-gamma release assays (IGRAs).

Area of Science:

  • Immunology
  • Infectious Diseases
  • Microbiology

Background:

  • Interferon-gamma release assays (IGRAs) offer specificity for tuberculosis (TB) detection but early, sensitive diagnosis of latent TB reactivation remains a challenge.
  • Multicolor flow cytometry analyzing CD4(+) T cell cytokine responses (IFN-γ/IL-2/TNF-α) to TB antigens has shown potential but diagnostic relevance needs further investigation.

Purpose of the Study:

  • To investigate additional CD4(+) T cell cytokine responses (IL-10/IL-13/IL-17) to latent mycobacterial antigens and standard antigens.
  • To assess the diagnostic utility of these cytokine responses in distinguishing TB cases from healthy controls.

Main Methods:

  • Analysis of IL-10, IL-13, and IL-17 responses to various mycobacterial antigens (α-crystallin, HBHA, MDP-1, PPD, ESAT-6/CFP-10) in 12 IGRA(+) TB cases and 8 healthy controls.
  • Utilized multicolor flow cytometry to quantify CD4(+) T cell cytokine production.

Main Results:

  • No significant difference in IFN-γ response was observed between TB cases and controls due to high individual variation.
  • Significant increases in IL-2 response to HBHA were found in recovery stage TB cases.
  • Elevated numbers of M. tuberculosis-specific polyfunctional CD4(+) T cells and increased IL-17 responses to HBHA and MDP-1 were observed in on-treatment and recovery stage TB cases.

Conclusions:

  • A combination of T cell cytokine parameters, including IL-2 and IL-17 responses, may enhance the accurate diagnosis of latent TB infection.
  • These findings suggest novel biomarkers for TB diagnosis beyond traditional IFN-γ responses.

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