Literature DB >> 19089396

Proteomic profiling of serologic response to Candida albicans during host-commensal and host-pathogen interactions.

Aida Pitarch1, César Nombela, Concha Gil.   

Abstract

Candida albicans is a commensal inhabitant of the normal human microflora that can become pathogenic and invade almost all body sites and organs in response to both host-mediated and fungus-mediated mechanisms. Serologic responses to C. albicans that underlie its dichotomist relationship with the host (host-commensal and host-pathogen interactions) display a high degree of heterogeneity, resulting in distinct serum anti-Candida antibody signatures (molecular fingerprints of anti-Candida antibodies in serum) that can be used to discriminate commensal colonization from invasive disease. We describe the typical proteomic strategy to globally and integratively profile these host antibody responses and determine serum antibody signatures. This approach is based on the combination of classic immunoproteomics or serologic proteome analysis (two-dimensional electrophoresis followed by quantitative Western blotting and mass spectrometry) with data mining procedures. This global proteomic stratagem is a useful tool not only for obtaining an overview of different anti-Candida antibodies that are being elicited during the host-fungus interaction and, consequently, of the complex C. albicans immunome (the subset of the C. albicans proteome targeted by the immune system), but also for evaluating how this pathogen organism interacts with its host to trigger infection. In contrast with genomics and transcriptomics, this proteomic technology has the potential to detect antigenicity associated with posttranslational modification, subcellular localization, and other functional aspects that can be relevant in the host immune response. Furthermore, this strategy to define molecular fingerprints of serum anti-Candida antibodies may hopefully bring to light potential candidates for diagnosis, prognosis, risk stratification, clinical follow-up, therapeutic monitoring, and/or immunotherapy of candidiasis, especially of its life-threatening systemic forms.

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Year:  2009        PMID: 19089396     DOI: 10.1007/978-1-59745-204-5_26

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  7 in total

1.  Prediction of the clinical outcome in invasive candidiasis patients based on molecular fingerprints of five anti-Candida antibodies in serum.

Authors:  Aida Pitarch; César Nombela; Concha Gil
Journal:  Mol Cell Proteomics       Date:  2010-09-21       Impact factor: 5.911

2.  Candida albicans Hyphal Extracellular Vesicles Are Different from Yeast Ones, Carrying an Active Proteasome Complex and Showing a Different Role in Host Immune Response.

Authors:  Raquel Martínez-López; Maria Luisa Hernáez; Esther Redondo; Guillermo Calvo; Sonja Radau; Mercedes Pardo; Concha Gil; Lucía Monteoliva
Journal:  Microbiol Spectr       Date:  2022-05-23

3.  A comprehensive Candida albicans PeptideAtlas build enables deep proteome coverage.

Authors:  Vital Vialas; Zhi Sun; Jose A Reales-Calderón; María L Hernáez; Vanessa Casas; Montserrat Carrascal; Joaquín Abián; Lucía Monteoliva; Eric W Deutsch; Robert L Moritz; Concha Gil
Journal:  J Proteomics       Date:  2015-10-19       Impact factor: 4.044

4.  Staphylococcus aureus seroproteomes discriminate ruminant isolates causing mild or severe mastitis.

Authors:  Caroline Le Maréchal; Julien Jardin; Gwenaël Jan; Sergine Even; Coralie Pulido; Jean-Michel Guibert; David Hernandez; Patrice François; Jacques Schrenzel; Dieter Demon; Evelyne Meyer; Nadia Berkova; Richard Thiéry; Eric Vautor; Yves Le Loir
Journal:  Vet Res       Date:  2011-02-15       Impact factor: 3.683

5.  Top-down characterization data on the speciation of the Candida albicans immunome in candidemia.

Authors:  Aida Pitarch; César Nombela; Concha Gil
Journal:  Data Brief       Date:  2015-12-11

6.  Unified feature association networks through integration of transcriptomic and proteomic data.

Authors:  Ryan S McClure; Jason P Wendler; Joshua N Adkins; Jesica Swanstrom; Ralph Baric; Brooke L Deatherage Kaiser; Kristie L Oxford; Katrina M Waters; Jason E McDermott
Journal:  PLoS Comput Biol       Date:  2019-09-17       Impact factor: 4.475

7.  Mass Spectrometry-Based Proteomic and Immunoproteomic Analyses of the Candida albicans Hyphal Secretome Reveal Diagnostic Biomarker Candidates for Invasive Candidiasis.

Authors:  Catarina Vaz; Aida Pitarch; Emilia Gómez-Molero; Ahinara Amador-García; Michael Weig; Oliver Bader; Lucía Monteoliva; Concha Gil
Journal:  J Fungi (Basel)       Date:  2021-06-23
  7 in total

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