Seroprofiling at the Candida albicans protein species level unveils an accurate molecular discriminator for candidemia.
J Proteomics
; 134: 144-162, 2016 Feb 16.
Article
en En
| MEDLINE
| ID: mdl-26485298
ABSTRACT
Serum antibodies to specific Candida proteins have been reported as potential diagnostic biomarkers for candidemia. However, their diagnostic usefulness at the protein species level has hardly been examined. Using serological proteome analysis, we explored the IgG-antibody responses to Candida albicans protein species in candidemia and control patients. We found that 87 discrete protein species derived from 34 unique proteins were IgG-targets, although only 43 of them were differentially recognized by candidemia and control sera. An increase in the speciation of the immunome, connectivity and modularity of antigenic species co-recognition networks, and heterogeneity of antigenic species recognition patterns was associated with candidemia. IgG antibodies to certain discrete protein species were better predictors of candidemia than those to their corresponding proteins. A molecular discriminator delineated from the combined fingerprints of IgG antibodies to two distinct species of phosphoglycerate kinase and enolase accurately classified candidemia and control patients. These results provide new insight into the anti-Candida IgG-antibody response development in candidemia, and demonstrate that an immunoproteomic signature at the molecular level may be useful for its diagnosis. Our study further highlights the importance of defining pathogen-specific antigens at the chemical and molecular level for their potential application as immunodiagnostic reagents or even vaccine candidates.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Candida albicans
/
Inmunoglobulina G
/
Proteínas Fúngicas
/
Candidemia
/
Anticuerpos Antifúngicos
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Límite:
Adult
/
Aged
/
Female
/
Humans
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Male
/
Middle aged
Idioma:
En
Revista:
J Proteomics
Asunto de la revista:
BIOQUIMICA
Año:
2016
Tipo del documento:
Article