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  2. Experimental models used in evaluating anti-tuberculosis vaccines: the latest advances in the field

Experimental models used in evaluating anti-tuberculosis vaccines: the latest advances in the field Artículos académico

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Resumen

  • Introduction: Tuberculosis is an infectious disease which is caused by bacilli from the M. tuberculosis complex. The Mycobacterium bovis Bacillus Calmette-Guérin vaccine is currently available as a prophylactic tool for preventing the disease; it has been shown to be efficient in preventing disseminated forms of tuberculosis during early ages; however, its efficiency is limited in areas where individuals have had prior exposure to environmental mycobacteria, and its efficacy decreases with a host’s age. Areas covered: Following a comprehensive search of the available literature, this review describes some of the most frequently used animal models, the most frequently used methods for evaluating efficacy in animal models and some in vitro strategies as alternatives for evaluating vaccines. Expert opinion: Identifying the animal models used up to now for evaluating vaccines during their development stages, their characteristics and limitations, as well as knowledge regarding strategies for evaluating promising vaccine candidate efficacy, will ensure more efficient, reliable and reproducible pre-clinical trials. Although much of the knowledge accrued to date concerning vaccine effectiveness against tuberculosis has been based on animal models, it is clear that large questions still need to be resolved and that extrapolation of such efficacy to humans has yet to be achieved.

Área temática

  • Salud y bienestar

autores

  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    Alejandra Mantilla Galindo
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    Manuel Alfonso Patarroyo
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    Marisol Ocampo

Publicado en

  • Expert Review of Vaccines Revistas

fecha de publicación

  • abril 3, 2019

Identidad

Identificador de objeto digital (DOI)

  • https://doi.org/10.1080/14760584.2019.1583558

Identificador único PubMed

  • 30773949

Información adicional de documento

Número de páginas

  • 13

Página inicial

  • 365

Última página

  • 377

Volumen

  • 18

Cuestión

  • 4