Sub-proteomic study on macrophage response to Candida albicans unravels new proteins involved in the host defense against the fungus☆
Graphical abstract
Highlights
► 3 Subcellular macrophage extracts were analyzed by 2D-DIGE and 26 proteins identified. ► 17 new proteins involved in the macrophage response to C. albicans were identified. ► There was a pro-inflammatory response and an increase in the oxidative stress. ► There was a reduction in the proteins involved in ER stress response. ► Galectin-3 increases in amount, secretion and its membrane allocation along the interaction.
Introduction
Candida albicans is an important human opportunistic pathogen that can produce different types of infections ranging from superficial to systemic. Invasive candidiasis is an important cause of disease and mortality in immunosuppressed patients [1], [2], and the therapeutic arsenal is reduced and sometimes toxic [2], [3], [4]. Thus, the study of host response to Candida infections can be a very useful tool to discover new therapeutic strategies. Macrophages are crucial elements of the innate and adaptive immunity to systemic candidiasis [5], [6]. C. albicans is recognized by dedicated pattern recognition receptors (PRRs), including Toll-like receptors (TLRs) and lectins through its Candida-specific pathogen-associated molecular patterns (PAMPs) mainly mannan and β-glucan, present on its cell wall. Mannan and beta-glucan receptors, mannoside-binding lectins (such as Galectin-3), and Toll-like receptors 2, 4 and 6 recognize C. albicans cells and trigger the activation of macrophages (see recent reviews by Jouault et al. [7], Netea et al. [8] and Bourgeois et al. [9]). The recognition of C. albicans by macrophages causes phagocytosis and activation of cellular proinflammatory pathways (production of inflammatory mediators, toxic compounds like reactive oxygen (ROS) and reactive nitrogen (RNS) species). Macrophages also capture and process foreign antigens for their presentation to T cells, enabling host defense and immunological memory [10]. While macrophages display a wide variety of mechanisms to destroy the fungus, C. albicans attempts to survive the action of phagocytes by inhibiting the production of toxic compounds like NO [11], [12] by preventing phagolysosome fusion [13], [14], [15]; or modulating the pH of this compartment [15].
Macrophage murine cell line RAW 264.7 was used in this study, due to its ability to employ both oxidative and non-oxidative mechanisms to kill the fungus [16]. Macrophages activated by gamma-interferon (IFN-γ), tumor necrosis factor alpha (TNF-α), or lipopolysaccharide (LPS) produce two kinds of reactive products characterized by their cytotoxic activity: reactive oxygen intermediates (ROI) and reactive nitrogen intermediates (RNI).
The introduction of proteomics has enabled the simultaneous analysis of changes in many proteins. Using a proteomic approach, we described the differential protein profile of control and murine macrophages interacting with live and heat-inactivated C. albicans cells and a pro- and anti-inflammatory effect was showed, respectively [17], [18]. 2D-Difference Gel Electrophoresis (2D-DIGE) [19] is a powerful analytical tool within the field of proteomics, allowing not only the relative quantitation of protein spot intensity across carefully matched gels, but also for detecting posttranslational modifications of the protein [20]. Because gel-based techniques have a bias toward abundant proteins, proteins in lower quantity are not often detected in the 2-DE analysis of total cellular proteins due to the complexity of these samples. The use of pre-fractionation methods by subcellular isolation or selective enrichment of a specific group of proteins provides an effective approach to eliminate this drawback. Thus in this work, we have combined cellular fractionation with 2D-DIGE technology to study cytosol, membrane, nucleus and cytoskeletal enriched protein fractions and analyze the differential protein profile of murine macrophages after 3 h of interaction with C. albicans.
Section snippets
C. albicans strains
The C. albicans strain used in this study was SC5314, from a clinical isolate [21]. This strain was maintained on solid YED medium (1% d-glucose, 1% Difco Yeast Extract and 2% agar) and incubated at 30 °C for at least 2 days.
Culture medium and reagents
RPMI 1640 medium, fetal bovine serum (FBS), l-glutamine, and antibiotics (penicillin–streptomycin) were obtained from GIBCO BRL (Grand Island, N.Y.). Macrophages were resuspended in RPMI supplemented with glutamine (2 mM), antibiotics (penicillin 100 U/ml–streptomycin 100
Differential protein expression of macrophages upon C. albicans interaction: analysis of subcellular fractions by 2D-DIGE
Control RAW 264.7 macrophages and after 3 h of interaction with C. albicans SC5314 cells at a 1:1 ratio, were treated as described in Materials and methods to obtain 4 subproteomic samples: cytosol, organelle/membrane, nucleus and cytoskeleton enriched fractions. These samples were analyzed separately using 2D-DIGE methodology. Four 2D-DIGE gels per subfraction, corresponding to Cy3-, Cy5- and pooled internal standard Cy2-labeled sample images, were analyzed using DeCyder software (v6.5). DIA
Discussion
Macrophages are important cells for the eradication of pathogens from the tissues. Our group has boarded the study of its interaction with C. albicans trying to find both new virulence traits of this opportunistic pathogen and new mechanisms responsible for its destruction. In previous works [17], [18], we have studied the differential protein expression of RAW264.7 after 45 min of interaction with C. albicans. These studies allowed us to conclude that many processes were affected: cytoskeleton
Conclusions
This sub-proteomic approach has allowed us to identify 17 new proteins involved in the interaction of macrophages with C. albicans that were not detected in our previous studies. First of all, few metabolic proteins have been identified among the differentially expressed, supporting the importance of analyzing sub-cellular fractions to detect variations in proteins that are less abundant than the metabolic ones. As already described, there is a significant decrease in proteins involved in ER
Acknowledgments
Protein identification was carried out in the Proteomics Unit UCM-Parque Científico, a member of the National Institute for Proteomics, ProteoRed, funded by Genoma España. This work was supported by BIO 2009-07654 from the Comisión Interministerial de Ciencia y Tecnología (CYCIT, Spain), DEREMICROBIANA-CM and PROMT (S2010/BMD-2414) from the Comunidad Autónoma de Madrid, and REIPI, Spanish Network for the Research in Infectious Diseases, RD06/0008/1027, from the Instituto de Salud Carlos III and
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This article is part of a Special Issue entitled: Translational Proteomics.