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A proteomic-based approach for the identification of Candida albicans protein components present in a subunit vaccine that protects against disseminated candidiasis.
- Source :
-
Proteomics [Proteomics] 2006 Nov; Vol. 6 (22), pp. 6033-41. - Publication Year :
- 2006
-
Abstract
- Candidiasis has become a prevalent infection in different types of immunocompromised patients. The cell wall of Candida albicans plays important functions during the host-fungus interactions. Cell wall (surface) proteins of C. albicans are major elicitors of host immune responses during candidiasis, and represent candidates for vaccine development. Groups of mice were vaccinated subcutaneously with a beta-mercaptoethanol (beta-ME) extract from C. albicans containing cell wall proteins. Vaccinated mice were then infected with a lethal dose of C. albicans. Increased survival and decreased fungal burden were observed in vaccinated mice as compared to a control group, and 75% of vaccinated mice with the beta-ME extract survived this otherwise lethal infection. We used a proteomic approach (2-DE followed by immunoblotting) to demonstrate a complex polypeptidic pattern associated with the beta-ME extract used in the vaccine formulation and to detect immunogenic components recognized by antibodies in immune sera from vaccinated animals. Reactive protein spots were identified by MALDI-TOF-MS and searches in genomic databases. As a conclusion, vaccination strategies using C. albicans cell wall proteins induce protective responses. These antigens can be identified by proteomic approaches and may be used as components of subcellular vaccines against candidiasis.
- Subjects :
- Animals
Candidiasis blood
Candidiasis immunology
Electrophoresis, Gel, Two-Dimensional
Female
Fungal Vaccines metabolism
Mercaptoethanol immunology
Mice
Mice, Inbred BALB C
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Vaccination
Antigens, Fungal chemistry
Candida albicans immunology
Candidiasis prevention & control
Fungal Vaccines chemistry
Proteomics methods
Subjects
Details
- Language :
- English
- ISSN :
- 1615-9853
- Volume :
- 6
- Issue :
- 22
- Database :
- MEDLINE
- Journal :
- Proteomics
- Publication Type :
- Academic Journal
- Accession number :
- 17051645
- Full Text :
- https://doi.org/10.1002/pmic.200600321