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Detection of immune cell response to M tuberculosis-specific antigens by quantitative polymerase chain reaction
I. Bibova, I. Linhartova, O. Stanek, V. Rusnakova, M. Kubista, M. Suchanek, M. Vasakova, P. Sebo
Language English Country United States
Document type Evaluation Study, Journal Article, Research Support, Non-U.S. Gov't
- MeSH
- Antigens, Bacterial immunology MeSH
- Molecular Diagnostic Techniques methods MeSH
- Adult MeSH
- Real-Time Polymerase Chain Reaction methods MeSH
- Latent Tuberculosis diagnosis MeSH
- Leukocytes, Mononuclear immunology MeSH
- Middle Aged MeSH
- Humans MeSH
- Mycobacterium tuberculosis immunology MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Gene Expression Profiling methods MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Evaluation Study MeSH
- Research Support, Non-U.S. Gov't MeSH
One third of the world's population is latently infected with Mycobacterium tuberculosis (Mtb) and up to 10% of infected individuals develop active tuberculosis (TB) in their lifetime. Among the major challenges in the control of TB is the implementation of sensitive methods for detection of latent tuberculosis infection (LTBI). Currently, in vitro interferon gamma release assays, yielding single value readout, are used as an alternative to the traditional tuberculin skin test for the diagnosis of LTBI. More complex characterization of immune status of LTBI individuals, however, is desirable for indication of LTBI subjects for preventative chemotherapy. Here we describe a quantitative polymerase chain reaction (qPCR) for determination of expression levels of 14 genes, additional to interferon gamma, which was applied for comparison of the specific Mtb-antigen immune response of blood cells from healthy, latently infected, and TB individuals. With the use of principal component analysis and discriminant analysis, a pattern of mRNA levels of 6 genes was identified, allowing discrimination of healthy individuals from active TB and LTBI subjects. These results open the way to development of multimarker qPCR for the detection of LTBI.
Department of Analytical Chemistry ICT Prague 166 28 Prague 6 Czech Republic
Department of Biochemistry and Microbiology ICT Prague 166 28 Prague 6 Czech Republic
Pneumological Clinic Thomayer University Hospital with Policlinic 140 59 Prague 4 Czech Republic
References provided by Crossref.org
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