Serial Systemic Candida albicans Infection Highlighted by Proteomics
Author(s) -
Gláucia Sayuri Arita,
Jean Eduardo Meneguello,
Karina Mayumi Sakita,
Daniella Renata Faria,
Eduardo Jorge Pilau,
Luciana Dias GhiraldiLopes,
Paula Aline Zanetti CampanerutSá,
Érika Seki Kioshima,
Patricia Mendonca,
Terezinha Inez Estivalet Svidzinski
Publication year - 2019
Publication title -
frontiers in cellular and infection microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.812
H-Index - 75
ISSN - 2235-2988
DOI - 10.3389/fcimb.2019.00230
Subject(s) - candida albicans , pathogen , virulence , microbiology and biotechnology , biology , corpus albicans , proteomics , human pathogen , systemic candidiasis , fungal pathogen , biofilm , fungal protein , yeast , bacteria , gene , saccharomyces cerevisiae , biochemistry , genetics
Candida albicans is the major pathogen isolated from nosocomial bloodstream infections, leading to higher mortality rates. Thus, due to its clinical relevance, studies aiming to understand host–pathogen interactions in C. albicans infection are necessary. Therefore, we performed proteomic analysis using a murine model of serial systemic infection by C. albicans to evaluate possible changes in the protein profile of the pathogen over time. Firstly, we observed a reduction in the median survival time of infected animals with increasing passage number, suggesting a higher pathogenicity acquired during repeated infections. By LC-MS/MS, it was possible to obtain protein profiles from the wild-type strain (WT) and compare them to proteins extracted from Candida cells recovered from infected tissues during passages one, three, and four (P1, P3, and P4). We obtained 56, 29, and 97 proteins in P1, P3, P4, respectively, all varying in abundance. Regarding biological processes, the majority of proteins were related to carbohydrate metabolism, stress responses and amino acid metabolism. The proteins were also categorized according to their potential role in virulence traits, such as biofilm production, yeast-to-hyphae transition, phenotypic switching, proteins related to stress responses, and uncharacterized proteins. Therefore, serial infection in combination with proteomic approach enabled us to deepen the existing knowledge about host-pathogen interactions.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom