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1.
BMC Immunol ; 14 Suppl 1: S11, 2013.
Artículo en Inglés | MEDLINE | ID: mdl-23458421

RESUMEN

The development of a new tuberculosis (TB) vaccine has become one of the main objectives of the scientific community. Protein antigens have been widely explored as subunit TB vaccines, however lipid antigens could be equally important to be used or included in such a vaccine. The aim of this study was to demonstrate the potential of a liposome formulation composed of an extract of lipids from Mycobacterium smegmatis (Ms) as a TB vaccine candidate. We evaluated the immunogenicity of this formulation as well as the cross reactive response against antigens from Mycobacterium tuberculosis (MTb) in BALB/c mice. We determined the anti-liposome IgG response in sera from TB patients and from healthy subjects who displayed a positive (PPD+) or negative (PPD-) tuberculin skin test. A significant increase in anti-liposome IgG (p<0.05) was detected in animals immunized with Bacille Calmette-Guérin (BCG) compared with all groups, and in the group immunized with liposomes from Ms (LMs) compared to animals immunized with either LMs adjuvanted with aluminium (LMs-A) or the negative control group (phosphate buffered saline, PBS) respectively. With respect to the cross reactive response against a cocktail of cell wall antigens (CWA) from MTb, significantly higher IgG levels were observed in animals immunized with BCG and LMs compared to negative controls and either, aluminium-adjuvanted liposomes (LMs-A) or montanide (LMs-M) (p<0.05). Furthermore, the anti-liposome IgG response was significantly superior in sera from pulmonary TB patients compared to PPD+ and PPD- healthy subjects (p<0.001) suggesting the expression of these antigens in vivo during active MTb infection. The results obtained provide some evidence for the potential use of liposomes containing total lipid extracts of Ms as a TB vaccine candidate.


Asunto(s)
Liposomas/inmunología , Mycobacterium smegmatis/inmunología , Mycobacterium tuberculosis/inmunología , Vacunas contra la Tuberculosis/inmunología , Animales , Pared Celular/inmunología , Reacciones Cruzadas , Femenino , Inmunidad Humoral , Inmunoglobulina G/inmunología , Liposomas/administración & dosificación , Ratones , Ratones Endogámicos BALB C , Mycobacterium bovis/inmunología , Prueba de Tuberculina , Tuberculosis/inmunología , Tuberculosis/prevención & control , Vacunación
2.
BMC Immunol ; 14 Suppl 1: S6, 2013.
Artículo en Inglés | MEDLINE | ID: mdl-23458668

RESUMEN

An in silico study was carried out to identify antigens for their possible collective use as vaccine candidates against diseases caused by different classes of pathogenic mycobacteria with significant clinical relevance. The genome sequences of the relevant causative agents were used in order to search for orthologous genes among them. Bioinformatics tools permitted us to identify several conserved sequences with 100% identity with no possibility of cross-reactivity to the normal flora and human proteins. Nine different proteins were characterized using the strain H37Rv as reference and taking into account their functional category, their in vivo expression and subcellular location. T and B cell epitopes were identified in the selected sequences. Theoretical prediction of population coverage was calculated for individual epitopes as well as their combinations. Several identical sequences, belonging to six proteins containing T and B cell epitopes which are not present in selected microorganisms of the normal microbial flora or in human proteins were obtained.


Asunto(s)
Antígenos Bacterianos/inmunología , Epítopos/inmunología , Mycobacterium tuberculosis/inmunología , Mycobacterium/inmunología , Secuencia de Aminoácidos , Antígenos Bacterianos/química , Proteínas Bacterianas/química , Proteínas Bacterianas/inmunología , Vacunas Bacterianas , Secuencia de Bases , Biología Computacional , Simulación por Computador , Secuencia Conservada , Epítopos/química , Genoma Bacteriano , Humanos , Mycobacterium/genética , Mycobacterium tuberculosis/genética , Alineación de Secuencia , Análisis de Secuencia de ADN
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