Flow cytometry-based method using diversity of cytokine production differentiates between Mycobacterium tuberculosis infection and disease
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064190%3A_____%2F24%3A10001226" target="_blank" >RIV/00064190:_____/24:10001226 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11110/24:10480437 RIV/00216208:11130/24:10480437
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S1472979224000441?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1472979224000441?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.tube.2024.102518" target="_blank" >10.1016/j.tube.2024.102518</a>
Alternative languages
Result language
angličtina
Original language name
Flow cytometry-based method using diversity of cytokine production differentiates between Mycobacterium tuberculosis infection and disease
Original language description
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), IFN gamma (interferon gamma) and TNF alpha (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+TNF alpha+parameter in children. Along with IL-2, TNF alpha 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30203 - Respiratory systems
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
TUBERCULOSIS
ISSN
1472-9792
e-ISSN
1873-281X
Volume of the periodical
147
Issue of the periodical within the volume
07/2024
Country of publishing house
GB - UNITED KINGDOM
Number of pages
8
Pages from-to
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UT code for WoS article
001241064500001
EID of the result in the Scopus database
2-s2.0-85192966028