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Published on: September 1, 2015
Multifunctional CD4(+) T cells correlate with active Mycobacterium tuberculosis infection
Nadia Caccamo1, Giuliana Guggino, Simone A Joosten
1Dipartimento di Biopatologia e Biotecnologie Mediche e Forensi, University of Palermo, Palermo, Italy.
Multifunctional CD4(+) T cells, expressing IFN-γ, IL-2, and TNF-α, are more common in active tuberculosis (TB) than latent infection (LTBI). LTBI patients show higher levels of specific T-cell subsets, indicating distinct immune responses to Mycobacterium tuberculosis.
Area of Science:
- Immunology
- Infectious Diseases
- T-cell Biology
Background:
- Th1 CD4(+) T cells and their cytokines are vital for controlling Mycobacterium tuberculosis infection.
- Understanding the functional states of CD4(+) T cells is crucial for differentiating latent tuberculosis infection (LTBI) from active tuberculosis (TB).
Purpose of the Study:
- To evaluate the distribution of distinct functional states of CD4(+) T cells in individuals with LTBI and active TB.
- To identify potential immunological correlates of protection and therapeutic monitoring for tuberculosis.
Main Methods:
- Multiparametric flow cytometry was used to analyze seven functional states of CD4(+) T cells.
- The study compared T-cell profiles between LTBI and active TB patients, and monitored changes after anti-mycobacterial therapy.
Main Results:
- Triple cytokine-expressing CD4(+) T cells (IFN-γ/IL-2/TNF-α) were significantly more prevalent in active TB patients (85-90%) compared to LTBI subjects (10-15%).
- LTBI subjects exhibited a 12- to 15-fold higher proportion of IL-2/IFN-γ double expressors and IFN-γ single expressors.
- The frequency of multifunctional T cells decreased in TB patients after therapy, correlating with bacterial load.
Conclusions:
- Distinct IFN-γ, IL-2, and TNF-α expression profiles in M. tuberculosis-specific CD4(+) T cells differentiate active TB from LTBI.
- These T-cell signatures may serve as biomarkers for protective immunity and effective anti-mycobacterial treatment monitoring.
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