Flow cytometry-based method using diversity of cytokine production differentiates between Mycobacterium tuberculosis infection and disease
Language English Country Scotland Media print-electronic
Document type Journal Article
PubMed
38739968
DOI
10.1016/j.tube.2024.102518
PII: S1472-9792(24)00044-1
Knihovny.cz E-resources
- Keywords
- Flow cytometry-based assay, Interferon gamma release assay (IGRA), TB disease, TB immunity, TB infection,
- MeSH
- Biomarkers analysis metabolism MeSH
- CD4-Positive T-Lymphocytes immunology metabolism MeSH
- CD8-Positive T-Lymphocytes immunology metabolism MeSH
- Diagnosis, Differential MeSH
- Child MeSH
- Adult MeSH
- Interferon-gamma * analysis immunology metabolism MeSH
- Interleukin-2 * analysis immunology metabolism MeSH
- Infant MeSH
- Latent Tuberculosis * blood diagnosis immunology microbiology MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Mycobacterium tuberculosis immunology isolation & purification MeSH
- Pilot Projects MeSH
- Tuberculosis, Pulmonary * blood diagnosis immunology microbiology MeSH
- Predictive Value of Tests MeSH
- Child, Preschool MeSH
- Prospective Studies MeSH
- Flow Cytometry * methods statistics & numerical data MeSH
- Aged MeSH
- Feasibility Studies MeSH
- Interferon-gamma Release Tests statistics & numerical data MeSH
- Tumor Necrosis Factor-alpha * analysis immunology metabolism MeSH
- Tuberculin Test statistics & numerical data MeSH
- Check Tag
- Child MeSH
- Adult MeSH
- Infant MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Male MeSH
- Child, Preschool MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Names of Substances
- Biomarkers MeSH
- IL2 protein, human MeSH Browser
- Interferon-gamma * MeSH
- Interleukin-2 * MeSH
- Tumor Necrosis Factor-alpha * MeSH
Authors present a pilot study of the development of innovative flow cytometry-based assay with a potential for use in tuberculosis diagnostics. Currently available tests do not provide robust discrimination between latent tuberculosis infection (TBI) and tuberculosis disease (TB). The desired application is to distinguish between the two conditions by evaluating the production of a combination of three cytokines: IL-2 (interleukin-2), IFNɣ (interferon gamma) and TNFɑ (tumor necrosis factor alpha) in CD4+ and CD8+ T cells. The study was conducted on 68 participants, divided into two arms according to age (paediatric and adults). Each arm was further split into three categories (non-infection (NI), TBI, TB) based on the immune reaction to Mycobacterium tuberculosis (M.tb) after a close contact with pulmonary TB. Each blood sample was stimulated with specific M.tb antigens present in QuantiFERON tubes (TB1 and TB2). We inferred TBI or TB based on the predominant cytokine response of the CD4+ and/or CD8+ T cells. Significant differences were detected between the NI, TBI and the TB groups in TB1 in the CD4+TNFɑ+parameter in children. Along with IL-2, TNFɑ seems to be the most promising diagnostic marker in both CD4+and CD8+ T cells. However, more detailed analyses on larger cohorts are needed to confirm the observed tendencies.
References provided by Crossref.org
