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   <ref-type name="Journal Article">17</ref-type>
   <contributors>
    <authors>
     <author>Starshinova, A.</author>
     <author>Sabirova, A.</author>
     <author>Kudryavtsev, I.</author>
     <author>Rubinstein, A.</author>
     <author>Aquino, A.</author>
     <author>Churilov, L.P.</author>
     <author>Belyaeva, E.</author>
     <author>Kulpina, A.</author>
     <author>Sharipov, R.A.</author>
     <author>Tukfatullin, R.K.</author>
     <author>Nikolenko, N.</author>
     <author>Kudlay, D.</author>
    </authors>
   </contributors>
   <titles>
    <title>Alterations in the Immune Response in Individuals with Latent Tuberculosis Infection</title>
   </titles>
   <keywords>
    <keyword>latent tuberculosis infection</keyword>
    <keyword>preclinical stage</keyword>
    <keyword>Mycobacterium tuberculosis</keyword>
    <keyword>immune biomarkers</keyword>
    <keyword>interferon signature</keyword>
    <keyword>extracellular vesicles</keyword>
    <keyword>transcriptomics</keyword>
    <keyword>immunodiagnostics</keyword>
    <keyword>PET/CT imaging</keyword>
    <keyword>multidrug-resistant tuberculosis</keyword>
    <keyword>Scopus</keyword>
    <keyword>Web of Science</keyword>
    <keyword>Белый список</keyword>
   </keywords>
   <dates>
    <year>2026</year>
    <pub-dates>
     <date>2026-06-01</date>
    </pub-dates>
   </dates>
   <doi>10.3390/pathogens15010014</doi>
   <journal>PATHOGENS</journal>
   <abstract>Latent tuberculosis infection (LTBI) represents a biologically active yet clinically asymptomatic stage of Mycobacterium tuberculosis (Mtb) persistence. This condition is characterized by subtle immunometabolic alterations reflecting the host–pathogen equilibrium.&#13;
Understanding the mechanisms and biomarkers associated with the preclinical phase of&#13;
LTBI is crucial for preventing progression to active tuberculosis (ATB). Recent advances&#13;
have identified multiple immunological, transcriptomic, metabolic, and imaging-based&#13;
approaches that enable stratification of individuals at increased risk of LTBI reactivation.&#13;
Quantitative assays such as IGRA, multiplex and T-cell activation marker (TAM) tests, as&#13;
well as interferon-related transcriptional signatures, demonstrate predictive potential when&#13;
combined with functional assays (MGIA) and metabolic imaging (PET/CT). Experimental&#13;
primate models faithfully reproduce the spectrum from latency to reactivation, allowing&#13;
for validation of biomarkers and vaccine or immunomodulatory strategies. The review&#13;
also highlights the particular challenges of multidrug-resistant LTBI (MDR-LTBI), where&#13;
standard chemoprophylaxis is less effective and immune control plays a decisive role. The&#13;
preclinical phase of LTBI constitutes a key point in the TB control cascade. Integrating&#13;
immunological, transcriptomic, and radiological data into risk-based screening algorithms&#13;
could substantially improve early detection and targeted prevention. Translating researchderived signatures into clinically applicable, standardized, and cost-effective diagnostic&#13;
tools requires coordinated international efforts, technological transfer, and policy-level&#13;
support to reduce TB reactivation and transmission, including MDR-TB.</abstract>
   <urls>
    <web-urls>
     <url>https://repo.bashgmu.ru/publication/5452</url>
    </web-urls>
    <pdf-urls>
     <url>https://repo.bashgmu.ru/files/5646</url>
    </pdf-urls>
   </urls>
  </record>
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