Next Article in Journal
Development of Lateral Flow Immunochromatographic Test for Rapid Detection of SARS-CoV-2 Virus Antigens in Clinical Specimens
Next Article in Special Issue
Mechanical Properties and Antibacterial Effect on Mono-Strain of Streptococcus mutans of Orthodontic Cements Reinforced with Chlorhexidine-Modified Nanotubes
Previous Article in Journal
Ultrasmall-in-Nano: Why Size Matters
Previous Article in Special Issue
Graphene Oxide Nanoplatforms to Enhance Cisplatin-Based Drug Delivery in Anticancer Therapy
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Nanomaterials
Volume 12
Issue 14
10.3390/nano12142475
nanomaterials-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

β-Glucan-Functionalized Nanoparticles Down-Modulate the Proinflammatory Response of Mononuclear Phagocytes Challenged with Candida albicans

by
Tânia Lima
1,2,3,*,
Stefán B. Gunnarsson
4,5,
Elisabete Coelho
6,
Dmitry V. Evtuguin
7,
Alexandra Correia
1,2,3,
Manuel A. Coimbra
6,
Tommy Cedervall
4,5 and
Manuel Vilanova
1,2,3
1
I3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
2
IBMC-Instituto de Biologia Molecular e Celular, Universidade do Porto, 4200-135 Porto, Portugal
3
ICBAS-Instituto de Ciências Biomédicas de Abel Salazar, Universidade do Porto, 4050-313 Porto, Portugal
4
Department of Biochemistry and Structural Biology, Lund University, 221 00 Lund, Sweden
5
NanoLund, Center for Nanoscience, Lund University, 221 00 Lund, Sweden
6
LAQV-REQUIMTE, Departamento de Química, Universidade de Aveiro, 3810-193 Aveiro, Portugal
7
CICECO, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
*
Author to whom correspondence should be addressed.
Nanomaterials 2022, 12(14), 2475; https://doi.org/10.3390/nano12142475
Submission received: 16 June 2022 / Revised: 7 July 2022 / Accepted: 10 July 2022 / Published: 19 July 2022
(This article belongs to the Special Issue Advanced Nanomaterials in Biomedical Application)
Browse Figures
Versions Notes

Abstract

:
Systemic fungal infections are associated with significant morbidity and mortality, and Candida albicans is the most common causative agent. Recognition of yeast cells by immune cell surface receptors can trigger phagocytosis of fungal pathogens and a pro-inflammatory response that may contribute to fungal elimination. Nevertheless, the elicited inflammatory response may be deleterious to the host by causing excessive tissue damage. We developed a nanoparticle-based approach to modulate the host deleterious inflammatory consequences of fungal infection by using β1,3-glucan-functionalized polystyrene (β-Glc-PS) nanoparticles. β-Glc-PS nanoparticles decreased the levels of the proinflammatory cytokines TNF-α, IL-6, IL-1β and IL-12p40 detected in in vitro culture supernatants of bone marrow-derived dendritic cells and macrophage challenged with C. albicans cells. Moreover, β-Glc-PS nanoparticles impaired the production of reactive oxygen species by bone marrow-derived dendritic cells incubated with C. albicans. This immunomodulatory effect was dependent on the nanoparticle size. Overall, β-Glc-PS nanoparticles reduced the proinflammatory response elicited by fungal cells in mononuclear phagocytes, setting the basis for a targeted therapy aimed at protecting the host by lowering the inflammatory cost of infection.

1. Introduction

In recent decades, the incidence of human fungal infections has increased, especially in immunocompromised and hospitalized individuals. The fungal infection associated morbidity and mortality are significant, and it is clear that these infections have emerged as important public health problems [1,2]. Candida albicans is one of the most frequently recovered human pathogen from fungal infections [3,4]. C. albicans cell wall is a dynamic and complex structure essential to almost every aspect of pathogenicity. The cell wall inner layer act as the cell skeleton and is composed of chitin and β-glucans. The outermost layer of the C. albicans cell wall is composed of mannoproteins bound to the β-glucan/chitin inner layer. The recognition of C. albicans cell wall and subsequent host response depends on the chemical composition and linkages of the C. albicans cell wall polysaccharides [5,6,7,8,9]. Immune responses elicited during C. albicans infections are related to the host–pathogen interaction. Nevertheless, the inflammatory response elicited by fungal recognition may also be deleterious to the host by causing excessive tissue damage [10]. For instance, an exacerbated inflammatory response is often observed during neutrophil recovery in acute leukemia patients with systemic candidiasis [11]. These observations raise important questions concerning host evolution towards maintaining a balance between control of fungal burden and excessive inflammation [10,12]. A better understanding of these mechanisms may offer new insights into the pathophysiology of these infections, as well as open new possibilities for targeted anti-microbial therapy. In recent decades, β-glucans have been used in many ways to improve health conditions in various situations [13]. Administration of these polysaccharides proved to enhance efficacy of monoclonal antibodies used for cancer immunotherapy, induce faster regeneration of physically damaged tissues, reduce toxicity of bacterial endotoxin, reduce gut inflammation, enhance antibody production against mucosal antigens, and enhance inflammation defense [13,14,15,16,17,18]. Taken together, these works have demonstrated that in a context of excessive inflammatory response, administration of β-glucans can depress these deleterious responses, suggesting that β-glucans may be used as an anti-inflammatory treatment, namely, in gut inflammation and sepsis.
The emergent application of nanotechnology is revolutionizing several aspects of modern medicine, including diagnostics and therapeutics [19,20]. Nanoparticles (NP) present a great immunomodulatory potential, as they can lead to activation or suppression of immune function [21]. Some experiments have shown that different NP trigger inflammatory responses in different ways [22,23,24]. Furthermore, the NP properties play a central role in determining the diffusion rate, the absorption of biomolecules, uptake by immune cells, biodistribution, and NP retention time. These parameters can be used to control biological functions and optimize the therapeutic applications. Here, we used bioengineered NP, functionalized with β1,3-glucans, the major component of C. albicans cell wall, in order to modulate the host immune recognition of C. albicans and reduce the inflammatory consequences of a fungal infection.

2. Materials and Methods

2.1. NP and β-glucans

Whole glucan particles (WGP) from Saccharomyces cerevisiae, composed mainly of β1,3-glucans ((β1→3)-Glc), were purchased from InvivoGen (San Diego, CA, USA). Carboxyl-terminated polystyrene (COOH-PS) NP (200, 80 and 26 nm) were purchased from Bangs Laboratories, Inc. (Fishers, IN, USA). All the polystyrene (PS) NP were used right after 24 h of dialysis (molecular weight cut-off (MWCO): 3500 kDa) against deionized (DI) water.

2.2. Chemical Characterization of Soluble β-Glucans

WGP (5 mg) were dissolved in 0.1 M NaNO3 solution and analyzed by Size Exclusion Chromatography (SEC) using a PL-GPC 110 chromatograph (Polymer Laboratories, Venice, CA, USA) with a pre-column PL aquagel-OH Guard 8 μm and two PL aquagel-OH MIXED 8 μm D 300 mm × 7.5 mm columns at 36 °C. A 0.1 M NaNO3 eluent solution was pumped at a flow rate of 0.9 mL/min. Sugar composition of soluble WGP was analyzed by gas chromatography-flame ionization detection (GC-FID) (Perkin Elmer-Clarus 400, PerkinElmer, Waltham, MA, USA) and quantified using 2-deoxyglucose as internal standard [25], as previously described [26]. The alditol acetates were evaluated in a GC-FID with a capillary column DB-225 (30 m length, 0.25 mm inner diameter and 0.15 μm film thickness). The oven temperature was: 200 °C to 220 °C at a rate of 40 °C/min (7 min), increasing to 230 °C at a rate of 20 °C/min (1 min). The temperature of the injector was 220 °C and the detector was at 230 °C. Hydrogen was used as a carrier gas at a flow rate of 1.7 mL/min [26,27].
The glycosidic-linkage composition was determined by gas chromatography-mass spectrometry (GC-MS) of partially methylated alditol acetates (PMAA) using a previously described methodology [26]. The PMAA were analyzed by GC-MS using a Shimadzu GCMS-QP2010, with a DB-1 (J&W Scientific, Folsom, CA, USA) capillary column (30 m length, 0.25 mm internal diameter, and 0.10 μm film thickness). Samples were injected in “split” mode using an injector temperature of 220 °C. The temperature program used was: 50 °C with a linear increase of 8 °C/min until 140 °C, followed by a linear increase of 0.5 °C/min until 150 °C and finally by a linear increase of 40 °C/min until 250 °C. The helium carrier gas had a flow rate of 1.84 mL/min and a column head pressure of 124.1 kPa. The GC was connected to a QP2010 Ultra (Shimadzu Corporation, Kyoto, Japan) mass quadrupole selective detector operating with an electron impact mode at 70 eV and scanning the range m/z 40–500, 1 s cycle, in a full scan mode acquisition.

2.3. Surface Functionalization of PS NP with Soluble (β1→3)-Glc

Soluble WGP (5 mg) was dissolved in phosphate buffer (10 mM sodium phosphate, 150 mM NaCl, pH 7.5). Subsequently, sodium periodate (0.1 M) was added, and the solution was incubated for 30 min. The resultant oxidizing glucan solution was then mixed with excess of carbohydrazide (100:1) and sodium cyanoborohydride (10 mM). Dialyzed COOH-PS (1 mg/mL) was mixed with previous glucan solution and 1-ethyl-3(3-dimethylaminopropyl)carbodiimide (EDC) (1 mg) during 2 h. β-Glucan-conjugated nanoparticles (β-Glc-PS) were desalted on a PD-10 column to remove excess reactants.

2.4. Size and ζ-Potential Analysis of β-Glc-PS

The hydrodynamic size of NP was determined by dynamic light scattering (DLS) on a DynaPro Plate Reader II (Wyatt Technology Corporation, Santa Barbara, CA, USA), at 37 °C, with 10 acquisitions per sample. Differential centrifugal sedimentation (DCS) was performed on DC24000 disc centrifuge (CPS Instruments, Prairieville, LA, USA), with a linear 8–24% sucrose gradient at 23,677 rotations per minute (RPM). The ζ-potential of the particles was evaluated by DLS at 25 °C with a Malvern ZetaSizer Nano ZS particle analyzer (Malvern Panalytical, Malvern, UK). Malvern Dispersion Technology Software (DTS; Malvern Panalytical, Malvern, UK) with monomodal mode data processing was used to determine average ζ-potential (mV) and error values. The analysis was conducted between 1 h and 24 h after incubation at 25 °C using 1 mg/mL, 0.1 mg/mL, and 0.01 mg/mL of NP in phosphate buffer. Each condition was set in triplicate and the measurements were analyzed with the Dynamics 7.1.7 (Wyatt Technology Corporation, Santa Barbara, CA, USA).

2.5. Dot Blot Analysis and Glucan Quantification of β-Glc-PS NP

For the dot blot immunoassay, 2 μL of each sample was spotted onto nitrocellulose membrane and then allowed to air dry. Each nitrocellulose membrane was incubated in blocking solution (Tris Buffer Saline-Tween (TBS-T) + 2% low fat dry milk) for 1 h at room temperature (RT). The membranes were then washed three times 10 min in TBS-T and incubated with anti-(β1→3)-Glc (1:800, Biosupplies, Yagoona, Australia) for 2 h, washed, and further incubated with polyclonal rabbit anti-mouse IgG/AP (1:500, Dako, Glostrup, Denmark) and, subsequently, with substrate solution (BCIP/NBT, Sigma-Aldrich, St. Louis, MO, USA) until spots were visible.
The amount of (β1→3)-Glc on the surface of the NP was analyzed using a phenol-sulphuric acid assay [28].

2.6. FTIR Spectroscopy

For Fourier transformed infrared (FTIR) analysis, 2 mL of each NP suspension (26, 80, 200 nm β-Glc-PS NP and COOH-PS NP) was scanned using PerkinElmer Frontier FTIR (Universal Attenuated Total Reflection (ATR) Sampling Accessory; PerkinElmer, Waltham, MA, USA) with a resolution of 4 cm−1 in the ATR sampling mode. For each sample, 32 scans were acquired and averaged, Energy = 371 and OPD = 0.2 and recorded in the 4000–400 cm−1 spectral range.

2.7. NP Aggregation under Physiological Conditions

PS NP were diluted with either water, PBS, RPMI plus 10% fetal bovine serum (FBS) or mouse serum (MS). The analyses were conducted between 0 h and 24 h after incubation. The hydrodynamic size of NP was measured by DLS on DynaPro Plate Reader II (Wyatt Technology Corporation, Santa Barbara, CA, USA), at 37 °C, with 10 acquisitions per sample. Before the analysis of samples, the refractive index and viscosity were adjusted according to solvent used.

2.8. Mouse Serum Protein Corona Analysis

NP suspensions (0.5 mg/mL) were incubated with MS for 1 h, 12 h and 24 h. The samples were centrifuged (15 min, 14,000 rpm, 20 °C) to pellet the particle–protein complexes. The pellet was resuspended in PBS, transferred to a new vial, and centrifuged again to pellet the particle–protein complexes. This procedure was repeated three times. After the third washing step, the proteins were eluted from the particles by adding SDS-sample buffer (dH2O, 0.5 M Tris-HCl, Glycerol, 10% SDS, 2-mercaptoethanol, 1% bromophenol blue) to the pellet and boiling the solution. Corona proteins were separated through 10% SDS/PAGE 1D gels. Each gel run included one lane of a molecular weight ladder standard, PageRuler Prestained Protein Ladder (Thermo Scientific, Waltham, MA, USA).

2.9. Yeast Cell and Culture Conditions

C. albicans SC5314 (ATCC MYA-2876, ATCC, Manassas, VA, USA) cells were maintained frozen (30% glycerol at −80 °C). Viable cells were obtained from cultures performed on solid yeast extract-peptone-dextrose (YPD) medium (1% yeast extract, 2% peptone, 2% glucose, 2% agar). Isolates were then grown in liquid YPD medium (37 °C, 140 rpm) in a shaking incubator to late exponential growth (14–16 h), recovered by centrifugation and washed twice in sterile phosphate-buffered saline (PBS). To prepare heat-killed (HK) cells, C. albicans yeast cells were grown as described before and incubated at 70 °C for 30 min in sterile PBS.

2.10. Mice

BALB/c mice were bred under specific-pathogen-free conditions at the Animal Facility of the Instituto de Investigação e Inovação em Saúde (i3S), Porto, Portugal. Procedures involving mice were performed according to the European Convention for the Protection of Vertebrate Animals used for Experimental and Other Scientific Purposes (ETS 123), directive 2010/63/EU, of the European Parliament and of the council of 22 September 2010 on the protection of the animals used for scientific purposes, and Portuguese rules (DL 113/2013). Experiments were approved by the institutional board responsible for animal welfare (ORBEA) at i3S and authorization to perform the experiments was issued by the competent national authority (Direção Geral de Alimentação e Veterinária) with the reference number 014036/2019-07-24.

2.11. In Vitro Differentiation of BMM and BMDC

To generate bone marrow-derived macrophages (BMM) and dendritic cells (BMDC), bone marrow cells were collected from femurs and tibias of BALB/c mice by flushing with cold Roswell Park Memorial Institute (RPMI) 1640 (Sigma-Aldrich, St. Louis, MO, USA). The collected cells (1 × 106 cells/mL) were seeded onto six-well plates and incubated at 37 °C, 5% CO2 in RPMI supplemented with 10% fetal bovine serum (FBS) (Biowest, Nuaillé, France), penicillin (100 IU/mL)/streptomycin (100 mg/mL) (Sigma-Aldrich, St. Louis, MO, USA), l-glutamine (2 mM) (Sigma-Aldrich, St. Louis, MO, USA), 1% (v/v) 4-(2-hydroxyethyl)-1piperazineethanesulfonic acid (HEPES) buffer (Sigma-Aldrich, St. Louis, MO, USA), 5 μM 2-mercaptoethanol (Sigma-Aldrich, St. Louis, MO, USA) and 20% (v/v) J558-cell supernatant, containing murine granulocyte-macrophage colony-stimulating factor (GM-CSF), or 10% (v/v) L-cell conditioned medium (LCCM), to differentiate BMM and BMDC, respectively. The media were renewed every two days for BMDC cultures and at day 3 and 5 for BMM. On day 7, non-adherent and loosely adherent BMDC were harvested by gentle washing with PBS and BMM were carefully recovered using a cell scraper. The proportions of differentiated dendritic cells (DC) and macrophages were assessed by flow cytometry upon staining with anti-CD11c FITC-conjugated (clone HL3), anti-F4/80 PE-Cy5.5-conjugated (clone BM8), anti-MHC class II PE-conjugated (clone 2G9) and anti-CD86 PE-Cy7-conjugated (clone GL1).

2.12. β-Glc-PS Cytotoxicity Analysis

BMM and BMDC were plated in 96-well tissue culture plates (2 × 105 cells/well) and incubated at 37 °C in a humidified atmosphere in 5% CO2. Three different concentrations of NP were evaluated. Cell viability was assessed using the 3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyltetrazolium bromide (MTT) assay. Enzymatic activity was quantified after solubilization of MTT formazan with dimethyl sulfoxide (DMSO):ethanol (1:1) solution. Absorbance was then measured at 570 nm. Untreated cells were used as viability control (100%). Normal, apoptotic, and necrotic cells were determined using an Annexin V-FITC/propidium iodide (PI) assay kit (eBioscience, San Diego, CA, USA) according to manufacturer’s instructions. The flow cytometry analysis was performed within 15 min in a BD FACSCantoTMII (BD Biosciences, Franklin Lakes, NJ, USA), using the FlowJo software (version 10.0.7; FlowJo, Ashland, OR, USA).

2.13. Phagocytosis Quantification Assay

The phagocytosis of C. albicans by BMDC and BMM was analyzed by flow cytometry using a previously described methodology [29]. BMDC and BMM suspensions were incubated with Sytox Green-labeled C. albicans HK at a MOI (Multiplicity of infection) of 1:5 (1 BMDC/BMM to 5 yeasts) and treated with 10 μg/mL NP for 30 min, at 37 °C and 5% CO2. Cells were analyzed by flow cytometry in a BD FACSCantoTM II, using the FlowJo software (version 10.0.7; FlowJo, Ashland, OR, USA). The percentage of yeasts interacting with immune cells was calculated from dot plot analysis of Sytox Green vs. PI fluorescence intensities.

2.14. Evaluation of ROS Production

Reactive oxygen species (ROS) production was evaluated using the Superoxide Detection Kit for flow cytometry (Enzo Life Sciences, Farmingdale, NY, USA). C. albicans HK yeast cells were incubated with BMM or BMDC (MOI of 1 BMDC/BMM: 5 yeasts) and treated at same time with 10 μg/mL NP or 10 μg/mL WGP. As a positive control, BMM and BMDC were treated with 100 nM PMA (Sigma-Aldrich, St. Louis, MO, USA). Plates were incubated for 15 min at 37 °C and 5% CO2. Upon incubation, cells were prepared according to manufacturer’s instructions. Samples were immediately analyzed in a BD FACSCanto II and acquired data were analyzed by using FlowJo software (version 10.0.7; FlowJo, Ashland, OR, USA).

2.15. Cytokine Quantification by Sandwich ELISA

BMDC were incubated for 24 h with yeast cells at a MOI of 1 BMDC: 5 Yeasts. Cultures were treated with 10 μg/mL of NP or 10 μg/mL of WGP.
Cytokine levels in cell culture supernatants and serum samples were evaluated by sandwich enzyme-linked immunosorbent assay (ELISA) using commercial kits, according to the manufacturer’s instructions (Mouse IL-6, IL-12p70 ELISA Ready-SET-Go!®, eBioscience, San Diego, CA, USA; Mouse TNF-α and IL-1β MAX Standard, Biolegend, San Diego, CA, USA).

2.16. Statistical Analysis

All experiments were performed at least in triplicate (n ≥ 3). Data are reported as means ± SD and were analyzed by one-way ANOVA and Tukey’s post hoc test using GraphPad Prism (Version 7.0; GraphPad Software, San Diego, CA, USA). Statistically significant results were defined as follows: * p < 0.05, ** p < 0.01, *** p < 0.001 and **** p < 0.0001.

3. Results and Discussion

3.1. Characterization of Soluble Whole Glucan Particle (WGP)

Soluble WGP was used to functionalize carboxyl-terminated polystyrene nanoparticles (COOH-PS NP) sized 26, 80 and 200 nm. The WGP was characterized according to their molecular weight (MW) distribution, neutral sugars, and glycosidic-linkage analyses (Figure S1, Table 1 and Table 2).
Neutral sugar analysis (Table 1) showed that soluble WGP was composed of 93.5% glucose. As expected, since soluble WGP is obtained from S. cerevisiae cell wall extractions, minor contaminations with other cell wall sugars, like mannose and arabinose, were also detected. The used soluble WGP was composed mostly of (1,3)-linked glucose (53.5%) followed by 12.6% of (1,6)-linked glucose (Table 2) distributed into two populations with a MW of 50 and 280 kDa (Figure S1), where the highest MW corresponds mainly to (β1→3)-Glc and the lowest MW corresponds mainly to (β1→3)-Glc and (β1→6)-Glc (Table S1 and Figure S2).

3.2. Production and Characterization of β-Glc-PS

Directional conjugation of WGP onto COOH-PS was achieved through carbonyl-reactive chemistry (Figure 1). Three different NP sizes (200, 80 and 26 nm) were chosen as the size of NP may influence WGP delivery to and recognition by cells of the immune system. Protein binding is dependent on NP size as shown for unconjugated COOH-PS NP in mouse and human serum [30,31], which together with the size itself can affect biodistribution and secretion pathways [32,33].
Soluble WGP were oxidized with periodate in order to create aldehyde residues between C2−C3 and C3-C4 bonds of the non-reducing end or (β1→6)-Glc residues [34]. This means that the polymer of lower molecular weight was more prone to be modified than the one with the highest molecular weight which, due to its richness in (β1→3)-Glc residues, resistant to periodate oxidation, and lower content in terminal residues. These oxidized β-glucans were coupled to carbohydrazide and this bond was further stabilized by reduction with sodium cyanoborohydride. β-glucan-hydrazide molecules were incubated with COOH-PS NP in the presence of EDC for a complete conjugation [35].
The size of conjugated NP was determined by DLS and DCS (Table 3 and Figure S3). All NP showed increased radius after β-glucan conjugation. Moreover, all β-Glc-PS NP presented less negative surface charge than naked COOH-PS NP counterparts (Table 3). This charge shift was strongly related with the presence of (β1→3)-Glc onto PS NP surface and the consequent reduction of surface carboxyl groups.
The amount of β-glucans on the surface of NP was determined using the phenol-sulphuric acid assay (Table 4) [28]. The average β-glucan content increased as the NP size increased. These quantifications were in accordance with dot blot analysis using (β1→3)-Glc-specific mAb (Figure 2). Although 200 nm NP presented lower surface area per mass and less possible conjugation sites available (1.0 × 1020 COOH groups/mL) when compared with 80 nm (1.3 × 1020 COOH groups/mL) and 26 nm (3.4 × 1020 COOH groups/mL), the 200 nm NP bound more (β1→3)-Glc than the other NP used. Size-related (β1→3)-Glc conjugation efficacy could be associated with NP size and curvature effect. As previously reported, lower NP curvature facilitates ligand–ligand interactions and hence a higher packing density [36,37].
The successful covalent conjugation of (β1→3)-Glc onto PS NP surface was also confirmed using Fourier transform infrared (FTIR) spectroscopy (Figure 3). The β-Glc-PS spectra showed a band at ~1650 cm−1 (amine I) and 1550 cm−1 (amine II), indicating the successful conjugation of β-glucans onto PS surface [38,39,40,41]. Moreover, the band at the fingerprint region of 950–1200 cm−1, due to the stretching vibration associated with the C-O-C and C-O-H groups of polysaccharides [27], also confirming the existence of β-glucans on the NP surface [42].
The formation of protein corona modifies the physical and chemical NP properties, namely their hydrodynamics size and surface charge. Moreover, the opsonization of NP by protein corona formation has a central role in the recognition of NP by immune cells. To understand the corona profile of NP in a physiological environment, NP were incubated with MS and the protein corona formation was analyzed by SDS-page (Figure S4). The protein binding after incubation with MS was compared between the three sizes of NP. In previous work, we demonstrated a size-dependent protein corona formation around COOH-PS NP after MS incubation. However, after the NP surface conjugation with soluble β-glucans, no significant differences in protein corona were observed between the three β-Glc-PS NP sizes.
Aggregation of NP was also evaluated after incubation with MS and RPMI + 10% FBS (Figure S5). The 26 nm β-Glc-PS NP showed higher size variations after incubation with RPMI + 10% FBS and MS when compared with 80 nm and 200 nm NP. The aggregation is not obviously associated with differences in NP protein corona. However, the structure of absorbed proteins could be different among NP sizes affecting aggregation and consequently affecting biodistribution, immune recognition, and NP uptake [43].

3.3. Biocompatibility of β-Glc-PS with BMDC and BMM

Biocompatibility of β-Glc-PS was assessed with MTT assay and Annexin V/Propidium Iodide (PI) staining using BMDC and BMM (Figure 4a,b). A slight decrease in cell viability was detected when using 26 nm NP while no significant effects were detected using 80 and 200 nm NP. This decrease in cell viability could be related with the high aggregation observed for 26 nm NP when incubated in serum-containing media which might influence its cell interaction and induce cytotoxicity (Figure S5). For the same mass of NP, smaller NP present a higher surface area and thus more available surface to interact with macromolecules, in addition to higher aggregation as already mentioned. Particle size and available surface area may thus contribute to the higher cell toxicity of the 26 nm NP [44]. The protein corona composition does not seem likely to have had a role in toxicity since after conjugation with β-glucans, as all the different sized NP showed similar protein corona profile (Figure S4). Although we cannot exclude that aggregation could influence the NP physical properties and decrease the surface area available, the complexity of 26 nm NP aggregates and the high polydispersity and heterogenicity can still result in cell toxicity since they cannot be assumed to behave like single and stable larger-size NP.

3.4. Effect of β-Glc-PS on Phagocyte Function

Phagocytosis plays a critical role in innate immunity, promoting the removal and killing of pathogens, and triggering the adaptive immune response [45].
Phagocytosis assays were performed in vitro using BMDC and BMDC incubated with C. albicans and treated with different sized β-Glc-PS. Naked NP (COOH-PS) were used as controls to assess a possible effect of the used polymer. Treatment with 200 or 80 nm β-Glc-PS induced a reduction of yeast phagocytosis, observed in both BMDC and BMM (Figure 5a, gating strategy shown in Figure S6). No reduction in yeast phagocytosis was observed using 26 nm NP, which could indicate a size-dependent effect. Also, no effect was observed on phagocytic function using COOH-PS.
Production of reactive oxygen metabolites is considered a major antifungal mechanism in phagocytes [46,47]. Therefore, we studied the ability of β-Glc-PS to modulate ROS production (Figure 5, Figure S7 and Table S2). As shown in Figure 5b, lower levels of ROS were produced in C. albicans-challenged BMDC and BMM treated with β-Glc-PS when compared with non-treated cells. This could be related to the observed reduction of β-glucan-mediated C. albicans phagocytosis (Figure 5a). These results indicate that β-Glc-PS may interfere with effector mechanisms used by phagocytic cells in the course of C. albicans infections. The immobilization of β-Glc onto NP surface showed to be more effective in reducing ROS production than did free soluble β-Glc treatment. No significant ROS production was detected in non-infected cells treated with β-Glc-PS alone, which reinforces the absence of a nanoparticle cytotoxic effect [48]. COOH-PS had no effect on ROS production by BMM and BMDC after C. albicans stimulation (Figure S7).

3.5. β-Glc-PS NP Reduced the Proinflammatory Response of Dendritic Cells Induced by C. albicans

Following recognition of pathogens by Pathogen Recognition Receptors, distinct signaling pathways are induced. These pathways act through a cross-regulation mechanism, which results in the production of proinflammatory cytokines [49]. The induction of proinflammatory cytokines is an important component of antifungal host defense [50]. Thus, the levels of TNF-α, IL-1β, IL-6, and IL-12p70 were quantified in the culture supernatants of C. albicans-challenged BMDC treated and untreated with β-Glc-PS. All the cultures treated with β-Glc-PS showed a marked reduction of TNF-α, IL-1β, IL-6, IL-12p70 levels (Figure 6, Figure S8 and Table S3). β-Glc-PS anti-inflammatory effect showed size-dependency. The 26 nm β-Glc-PS NP was the least effective size. No significant reduction in cytokines levels was observed in BMM and BMDC cultures challenged with C. albicans and treated with COOH-PS (Figure S8).
The β-Glc-PS NP treatment showed size dependency. In fact, 80 nm β-Glc-PS was the most biologically effective size. Smaller NP presents a higher surface area per mass, and thus more available surface to interact with cells and cellular components, in addition to higher aggregation and less stability. This may therefore have contributed to the less effective results obtained with 26 nm β-Glc-PS NP (Figure S4) [44]. The curvature could potentially affect the density of conjugated WGP as well as the angles between the WGP chains affecting the binding to Dectin-1 receptor [35,36]. Moreover, the diffusion rate, which increases with decreasing particle size, is also an important factor for ligand receptor recognition [51]. The immobilization of (β1→3)-Glc onto NP surface enhances the anti-inflammatory effect of these polysaccharides when compared with treatment with free soluble (β1→3)-Glc.

4. Conclusions

C. albicans asymptomatically colonizes more than 30% of individuals in a population at any given time. However, when the host immune system of the carrier individuals is weakened, this fungus can cause both mucosal and systemic infections. Some risk factors, such as neutropenia, central venous catheters, or systemic antibiotic exposure, may predispose individuals to invasive and even life-threatening systemic candidiasis. Invasive C. albicans infections can result in an uncontrolled hyper-inflammatory response, leading to severe host damage. With this study we showed that β-glucan-functionalized nanoparticles could down-modulate the proinflammatory response of host immune cells induced by C. albicans, in a size-dependent manner. This NP-based approach showed a promising therapeutic potential, extending the described potential of (β1→3)-Glc in host inflammation control.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/nano12142475/s1, Figure S1: Characterization of soluble WGP. Chromatogram obtained by gel permeation chromatography (GPC); Figure S2. Light Scattering analysis of WGP SEC separation. Table S1. Glycosidic linkage composition of WGP fractions after SEC separation. Figure S3: Physical properties of NP after conjugation with β-(1,3)-glucans; Figure S4: Protein corona of β-Glc-PS after mouse serum incubation; Figure S5: Hydrodynamics radius of 200 nm, 80 nm and 26 nm in biological conditions; Figure S6: Representative FACS gating strategy of phagocytosis assay; Figure S7: Effect of COOH-PS NP treatment in BMDC and BMM ROS production; Table S2: Statistical analysis of BMDC and BMM ROS production; Figure S8: Effect of COOH-PS NP treatment in BMDC pro-inflammatory cytokine production. Table S3: Statistical analysis of BMDC proinflammatory cytokine production.

Author Contributions

Conceptualization, Methodology, Investigation, Formal analysis, Data Curation, Writing—Original Draft, Visualization, T.L.; Conceptualization, Methodology, Investigation, S.B.G.; Conceptualization, Investigation, A.C.; Methodology, E.C. and D.V.E.; Conceptualization, Methodology, Resources, Supervision, M.A.C.; Conceptualization, Methodology, Resources, Writing—Review and Editing, Supervision, Project administration, T.C.; Conceptualization, Methodology, Resources, Validation, Writing—Review and Editing, Supervision, Project administration, Funding acquisition, M.V. All authors have read and agreed to the published version of the manuscript.

Funding

This work received financial support from PT national funds (FCT/MCTES, Fundação para a Ciência e Tecnologia and Ministério da Ciência, Tecnologia e Ensino Superior). LAQV/REQUIMTE (UIDB/50006/2020, UIDP/50006/2020), through national founds and, where applicable, co-funded by the FEDER, within the PT2020 Partnership Agreement and Compete 2020. HEALTH-UNORTE: Setting-up biobanks and regenerative medicine strategies to boost research in cardiovascular, musculoskeletal, neurological, oncological, immunological and infectious diseases (NORTE-01-0145-FEDER-000039), supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). T.L. was supported by FCT PhD grant (PD/BD/128393/2017) from BiotechHealth International Doctoral programme. A.C. was supported by FCT Individual CEEC (CEEC IND/01514/2017). E.C. was supported by FCT through program DL 57/2016-Norma transitória (CDL-CTTRI-88-ARH/2018-REF.049-88-ARH/2018).

Institutional Review Board Statement

The animal study protocol was approved by the institutional board responsible for animal welfare (ORBEA) of Instituto de Investigação e Inovação em Saúde (i3S), Porto, Portugal (2019-5/2019-06-11) and authorization to perform the experiments was issued by the competent national authority (Direção Geral de Alimentação e Veterinária) with the reference number 014036/2019-07-24.

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.

Acknowledgments

The authors gratefully acknowledge the support of the i3S Scientific Platforms, namely Translational Cytometry and Biointerfaces and Nanotechnology platforms.

Conflicts of Interest

The authors declare that they have no known competing financial interest or personal relationships that could have appeared to influence the work reported in this paper.

References

  1. Tam, J.M.; Mansour, M.K.; Khan, N.S.; Yoder, N.C.; Vyas, J.M. Use of fungal derived polysaccharide-conjugated particles to probe Dectin-1 responses in innate immunity. Integr. Biol. 2012, 4, 220–227. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Pfaller, M.A.; Diekema, D.J. Epidemiology of Invasive Candidiasis: A Persistent Public Health Problem. Clin. Microbiol. Rev. 2007, 20, 133–163. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Kim, J.; Sudbery, P. Candida albicans, a major human fungal pathogen. J. Microbiol. 2011, 49, 171–177. [Google Scholar] [CrossRef] [PubMed]
  4. Pappas, P.G.; Lionakis, M.S.; Arendrup, M.C.; Ostrosky-Zeichner, L.; Kullberg, B.J. Invasive candidiasis. Nat. Rev. Dis. Primers 2018, 4, 18026. [Google Scholar] [CrossRef] [PubMed]
  5. Gozalbo, D.; Roig, P.; Villamon, E.; Gil, M. Candida and Candidiasis: The Cell Wall as a Potential Molecular Target for Antifungal Therapy. Curr. Drug Target-Infect. Disord. 2004, 4, 117–135. [Google Scholar] [CrossRef]
  6. Ruiz-Herrera, J.; Elorza, M.V.; Valentin, E.; Sentandreu, R. Molecular organization of the cell wall of Candida albicans and its relation to pathogenicity. FEMS Yeast Res. 2006, 6, 14–29. [Google Scholar] [CrossRef] [Green Version]
  7. Hall, R.A. Dressed to impress: Impact of environmental adaptation on the Candida albicans cell wall. Mol. Microbiol. 2015, 97, 7–17. [Google Scholar] [CrossRef] [Green Version]
  8. Nakagawa, Y.; Kanbe, T.; Mizuguchi, I. Disruption of the Human Pathogenic YeastCandida albicansCatalase Gene Decreases Survival in Mouse-Model Infection and Elevates Susceptibility to Higher Temperature and to Detergents. Microbiol. Immunol. 2003, 47, 395–403. [Google Scholar] [CrossRef]
  9. Bain, J.M.; Louw, J.; Lewis, L.E.; Okai, B.; Walls, C.A.; Ballou, E.R.; Walker, L.A.; Reid, D.; Munro, C.A.; Brown, A.J.P.; et al. Candida albicans hypha formation and mannan masking of beta-glucan inhibit macrophage phagosome maturation. mBio 2014, 5, e01874. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Duggan, S.; Leonhardt, I.; Hunniger, K.; Kurzai, O. Host response to Candida albicans bloodstream infection and sepsis. Virulence 2015, 6, 316–326. [Google Scholar]
  11. Tran, V.G.; Kim, H.J.; Kim, J.; Kang, S.W.; Moon, U.J.; Cho, H.R.; Kwon, B. IL-33 Enhances Host Tolerance to Candida albicans Kidney Infections through Induction of IL-13 Production by CD4+ T Cells. J. Immunol. 2015, 194, 4871–4879. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Mortaz, E.; Alipoor, S.D.; Adcock, I.M.; Mumby, S.; Koenderman, L. Update on Neutrophil Function in Severe Inflammation. Front. Immunol. 2018, 9, 2171. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Brown, G.D.; Gordon, S. Fungal beta-glucans and mammalian immunity. Immunity 2003, 19, 311–315. [Google Scholar] [CrossRef] [Green Version]
  14. Aaarsæther, E.J.R.M.; Engstad, R.E.; Busund, R. Cardioprotective effect of pre-treatment with beta-glucan in coronary artery bypass grafting. Scand. Cardiovasc. J. 2006, 40, 298304. [Google Scholar] [CrossRef] [PubMed]
  15. Zykova, S.N.B.K.; Vorokhobina, N.V.; Kuznetsova, A.V.; Engstad, R.Z.T. Macrophage stimulating agent soluble yeast b-1,3/1,6-glucan as a topical treatment of diabetic foot and leg ulcers: A randomized, double blind, placebo-controlled phase II study. J. Diabetes Investig. 2014, 5, 392–399. [Google Scholar] [CrossRef] [Green Version]
  16. Sandvik, A.; Wang, Y.Y.; Morton, H.C.; Aasen, A.O.; Wang, J.E.; Johansen, F.E. Oral and systemic administration of beta-glucan protects against lipopolysaccharide-induced shock and organ injury in rats. Clin. Exp. Immunol. 2007, 148, 168–177. [Google Scholar] [CrossRef] [Green Version]
  17. Johansen, F.E.; Sandvik, A.; Engstad, R.E. Methods of Treating or Preventing Inflammatory Diseases of the Intestinal Tract. International Publication WO/2009/063221, 22 May 2009. [Google Scholar]
  18. Zhang, M.; Kim, J.A.; Huang, A.Y. Optimizing Tumor Microenvironment for Cancer Immunotherapy: Beta-Glucan-Based Nanoparticles. Front. Immunol. 2018, 9, 341. [Google Scholar] [CrossRef] [Green Version]
  19. Mankes, R.F.; Silver, C.D. Quantitative study of controlled substance bedside wasting, disposal and evaluation of potential ecologic effects. Sci. Total Environ. 2013, 444, 298–310. [Google Scholar] [CrossRef]
  20. Onoue, S.; Yamada, S.; Chan, K. Nanodrugs: Pharmacokinetics and safety. Int. J. Nanomed. 2014, 9, 1025–1037. [Google Scholar] [CrossRef] [Green Version]
  21. Foroozandeh, P.; Aziz, A.A. Insight into Cellular Uptake and Intracellular Trafficking of Nanoparticles. Nanoscale Res. Lett. 2018, 13, 339. [Google Scholar] [CrossRef]
  22. Shvedova, A.A.; Fabisiak, J.; Kisin, E.R.; Murray, A.R.; Roberts, J.R.; Tyurina, Y.; Antonini, J.M.; Feng, W.H.; Kommineni, C.; Reynolds, J.; et al. Sequential Exposure to Carbon Nanotubes and Bacteria Enhances Pulmonary Inflammation and Infectivity. Am. J. Respir. Cell Mol. Biol. 2008, 38, 579–590. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Shvedova, A.A.; Kisin, E.R.; Porter, D.; Schulte, P.; Kagan, V.E.; Fadeel, B.; Castranova, V. Mechanisms of pulmonary toxicity and medical applications of carbon nanotubes: Two faces of Janus? Pharmacol. Ther. 2009, 121, 192–204. [Google Scholar] [CrossRef] [PubMed]
  24. Sanfins, E.; Augustsson, C.; Dahlbäck, B.; Linse, S.; Cedervall, T. Size-Dependent Effects of Nanoparticles on Enzymes in the Blood Coagulation Cascade. Nano Lett. 2014, 14, 4736–4744. [Google Scholar] [CrossRef] [PubMed]
  25. Blakeney, A.B.; Harris, P.J.; Henry, R.J.; Stone, B.A. A simple and rapid preparation of alditol acetates for monosaccharide analysis. Carbohydr. Res. 1983, 113, 291–299. [Google Scholar] [CrossRef]
  26. Bastos, R.; Coelho, E.; Coimbra, M.A. Modifications of Saccharomyces pastorianus cell wall polysaccharides with brewing process. Carbohydr. Polym. 2015, 124, 322–330. [Google Scholar] [CrossRef] [Green Version]
  27. Pinto, M.; Coelho, E.; Nunes, A.; Brandao, T.; Coimbra, M.A. Valuation of brewers spent yeast polysaccharides: A structural characterization approach. Carbohydr. Polym. 2015, 116, 215–222. [Google Scholar] [CrossRef]
  28. DuBois, M.; Gilles, K.A.; Hamilton, J.K.; Rebers, P.A.; Smith, F. Colorimetric method for determination of sugars and related substances. Anal. Chem. 1956, 28, 350–356. [Google Scholar] [CrossRef]
  29. Carneiro, C.; Vaz, C.; Carvalho-Pereira, J.; Pais, C.; Sampaio, P. A new method for yeast phagocytosis analysis by flow cytometry. J. Microbiol. Methods 2014, 101, 56–62. [Google Scholar] [CrossRef]
  30. Lima, T.; Bernfur, K.; Vilanova, M.; Cedervall, T. Understanding the Lipid and Protein Corona Formation on Different Sized Polymeric Nanoparticles. Sci. Rep. 2020, 10, 1129. [Google Scholar] [CrossRef]
  31. Lundqvist, M.; Stigler, J.; Elia, G.; Lynch, I.; Cedervall, T.; Dawson, K.A. Nanoparticle size and surface properties determine the protein corona with possible implications for biological impacts. Proc. Natl. Acad. Sci. USA 2008, 105, 14265–14270. [Google Scholar] [CrossRef] [Green Version]
  32. Li, B.; Lane, L.A. Probing the biological obstacles of nanomedicine with gold nanoparticles. WIREs Nanomed. Nanobiotechnol. 2018, 11, e1542. [Google Scholar] [CrossRef] [PubMed]
  33. Hoshyar, N.; Gray, S.; Han, H.; Bao, G. The effect of nanoparticle size on in vivo pharmacokinetics and cellular interaction. Nanomedicine 2016, 11, 673–692. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Kristiansen, K.A.; Potthast, A.; Christensen, B.E. Periodate oxidation of polysaccharides for modification of chemical and physical properties. Carbohydr. Res. 2010, 345, 1264–1271. [Google Scholar] [CrossRef] [PubMed]
  35. Hermanson, G.T. Microparticles and Nanoparticles, in Bioconjugate Techniques; Elsevier: Amsterdam, The Netherlands, 2013; pp. 571–573. [Google Scholar]
  36. Solveyra, E.G.; Szleifer, I. What is the role of curvature on the properties of nanomaterials for biomedical applications? Wiley interdisciplinary reviews. Nanomed. Nanobiotechnol. 2016, 8, 334–354. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Panja, S.; Saha, B.; Ghosh, S.K.; Chattopadhyay, S. Synthesis of Novel Four Armed PE-PCL Grafted Superparamagnetic and Biocompatible Nanoparticles. Langmuir 2013, 29, 12530–12540. [Google Scholar] [CrossRef]
  38. Villarreal, E.; Li, G.G.; Zhang, Q.; Fu, X.; Wang, H. Nanoscale Surface Curvature Effects on Ligand-Nanoparticle Interactions: A Plasmon-Enhanced Spectroscopic Study of Thiolated Ligand Adsorption, Desorption, and Exchange on Gold Nanoparticles. Nano Lett. 2017, 17, 4443–4452. [Google Scholar] [CrossRef]
  39. Maruyama, T.; Katoh, S.; Nakajima, M.; Nabetani, H.; Abbott, T.P.; Shono, A.; Satoh, K. FT-IR analysis of BSA fouled on ultrafiltration and microfiltration membranes. J. Membr. Sci. 2001, 192, 201–207. [Google Scholar] [CrossRef]
  40. Chittur, K.K. FTIR/ATR for protein adsorption to biomaterial surfaces. Biomaterials 1998, 19, 357–369. [Google Scholar] [CrossRef]
  41. Teng, Y.; Pong, P.W.T. Fe2O3-SiO2 Core-Shell Nanoparticles Conjugated with Bovine Serum Albumin. IEEE Trans. Magn. 2017, 53, 1–6. [Google Scholar] [CrossRef]
  42. Irshad, A.; Sarwar, N.; Sadia, H.; Riaz, M.; Sharif, S.; Shahid, M.; Khan, J.A. Silver nano-particles: Synthesis and characterization by using glucans extracted from Pleurotus ostreatus. Appl. Nanosci. 2019, 10, 3205–3214. [Google Scholar] [CrossRef]
  43. Lundqvist, M.; Sethson, I.; Jonsson, B.-H. Protein Adsorption onto Silica Nanoparticles: Conformational Changes Depend on the Particles’ Curvature and the Protein Stability. Langmuir 2004, 20, 10639–10647. [Google Scholar] [CrossRef] [PubMed]
  44. Huang, Y.W.; Cambre, M.; Lee, H.J. The Toxicity of Nanoparticles Depends on Multiple Molecular and Physicochemical Mechanisms. Int. J. Mol. Sci. 2017, 18, 2702. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Herre, J.; Marshall, A.S.; Caron, E.; Edwards, A.D.; Williams, D.L.; Schweighoffer, E.; Tybulewicz, V.; e Sousa, C.R.; Gordon, S.; Brown, G.D. Dectin-1 uses novel mechanisms for yeast phagocytosis in macrophages. Blood 2004, 104, 4038–4045. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Cheng, S.C.; Joosten, L.A.; Kullberg, B.J.; Netea, M.G. Interplay between Candida albicans and the mammalian innate host defense. Infect. Immun. 2012, 80, 1304–1313. [Google Scholar] [CrossRef] [Green Version]
  47. Gantner, B.N.; Simmons, R.M.; Underhill, D.M. Dectin-1 mediates macrophage recognition of Candida albicans yeast but not filaments. EMBO J. 2005, 24, 1277–1286. [Google Scholar] [CrossRef] [Green Version]
  48. Fu, P.P.; Xia, Q.; Hwang, H.-M.; Ray, P.C.; Yu, H. Mechanisms of nanotoxicity: Generation of reactive oxygen species. J. Food Drug Anal. 2014, 22, 64–75. [Google Scholar] [CrossRef] [Green Version]
  49. Mogensen, T.H. Pathogen Recognition and Inflammatory Signaling in Innate Immune Defenses. Clin. Microbiol. Rev. 2009, 22, 240–273. [Google Scholar] [CrossRef] [Green Version]
  50. Ifrim, D.C.; Bain, J.M.; Reid, D.M.; Oosting, M.; Verschueren, I.; Gow, N.A.R.; van Krieken, J.H.; Brown, G.D.; Kullberg, B.-J.; Joosten, L.A.B.; et al. Role of Dectin-2 for Host Defense against Systemic Infection with Candida glabrata. Infect. Immun. 2014, 82, 1064–1073. [Google Scholar] [CrossRef] [Green Version]
  51. Dell′Orco, D.; Lundqvist, M.; Cedervall, T.; Linse, S. Delivery success rate of engineered nanoparticles in the presence of the protein corona: A systems-level screening. Nanomedicine 2012, 8, 1271–1281. [Google Scholar] [CrossRef]
Nanomaterials 12 02475 g001 550
Figure 1. Schematic representation of the chemical conjugation of soluble WGP onto COOH-PS NP surface.
Figure 1. Schematic representation of the chemical conjugation of soluble WGP onto COOH-PS NP surface.
Nanomaterials 12 02475 g001
Nanomaterials 12 02475 g002 550
Figure 2. Analysis of (β1,3)-glucan onto NP surface after conjugation. Dot Blot analysis of COOH-PS and β-Glc-PS. After conjugation protocol, 0.5 mg/mL of β-Glc-PS and COOH-PS NP were spotted (5 μL) on nitrocellulose membranes and incubated with (β1,3)-glucan-specific mAb.
Figure 2. Analysis of (β1,3)-glucan onto NP surface after conjugation. Dot Blot analysis of COOH-PS and β-Glc-PS. After conjugation protocol, 0.5 mg/mL of β-Glc-PS and COOH-PS NP were spotted (5 μL) on nitrocellulose membranes and incubated with (β1,3)-glucan-specific mAb.
Nanomaterials 12 02475 g002
Nanomaterials 12 02475 g003 550
Figure 3. Fourier transformed infrared (FTIR) spectra of COOH-PS, soluble β-Glc and β-Glc-PS NP. Sample suspensions were scanned using PerkinElmer Frontier FTIR (Universal ATR Sampling Assessory) with a resolution of 4 cm−1 in ATR sampling mode. Each condition was set in triplicate.
Figure 3. Fourier transformed infrared (FTIR) spectra of COOH-PS, soluble β-Glc and β-Glc-PS NP. Sample suspensions were scanned using PerkinElmer Frontier FTIR (Universal ATR Sampling Assessory) with a resolution of 4 cm−1 in ATR sampling mode. Each condition was set in triplicate.
Nanomaterials 12 02475 g003
Nanomaterials 12 02475 g004 550
Figure 4. Cell viability of BMDC and BMM treated with β-Glc-PS. BMDC (left) and BMM (right) were stimulated with three different-sized β-Glc-PS for 24 h at a concentration of 10 μg/mL and analyzed in a (a) MTT assay and by (b) FITC-annexin V staining, using flow cytometry. Samples were acquired on FACSCantoII (BD Biosciences) and data analyzed with FlowJo software (Version 10.0.7). Each black dot corresponds to the mean value of three technical replicates of an independent experiment.
Figure 4. Cell viability of BMDC and BMM treated with β-Glc-PS. BMDC (left) and BMM (right) were stimulated with three different-sized β-Glc-PS for 24 h at a concentration of 10 μg/mL and analyzed in a (a) MTT assay and by (b) FITC-annexin V staining, using flow cytometry. Samples were acquired on FACSCantoII (BD Biosciences) and data analyzed with FlowJo software (Version 10.0.7). Each black dot corresponds to the mean value of three technical replicates of an independent experiment.
Nanomaterials 12 02475 g004
Nanomaterials 12 02475 g005 550
Figure 5. Analysis of β-Glc-PS treatment on phagocyte function. (a) Quantification of yeast phagocytosis by BMDC and BMM was assessed by flow cytometry. Immune cells were incubated for 30 min with heat-killed C. albicans SC5314 (MOI 1 BMDC/BMM: 5 yeasts) labeled with Sytox Green plus 80 nm β-Glc-PS (10 μg/mL) and stained with Propidium Iodide prior to analysis. (b) Production of ROS was assessed by using Superoxide Detection kit. BMM and BMDC incubated for 15 min with heat-killed C. albicans SC5314 at a MOI 1:5, in the presence of 200, 80 or 26 nm β-Glc-PS NP (10 μg/mL) and analyzed by flow cytometry. Samples were acquired on FACSCantoII (BD Biosciences) and data analyzed with FlowJo software (Version 10.0.7). Bars correspond to means ± SD. Each condition was set in triplicate. Each black dot corresponds to the mean value of the three technical replicates of an independent experiment. One-way ANOVA with Tukey’s post Hoc test, (** p < 0.01; *** p < 0.001; **** p < 0.0001). The complete statistical analysis data is presented in the Supplementary Material (Table S2).
Figure 5. Analysis of β-Glc-PS treatment on phagocyte function. (a) Quantification of yeast phagocytosis by BMDC and BMM was assessed by flow cytometry. Immune cells were incubated for 30 min with heat-killed C. albicans SC5314 (MOI 1 BMDC/BMM: 5 yeasts) labeled with Sytox Green plus 80 nm β-Glc-PS (10 μg/mL) and stained with Propidium Iodide prior to analysis. (b) Production of ROS was assessed by using Superoxide Detection kit. BMM and BMDC incubated for 15 min with heat-killed C. albicans SC5314 at a MOI 1:5, in the presence of 200, 80 or 26 nm β-Glc-PS NP (10 μg/mL) and analyzed by flow cytometry. Samples were acquired on FACSCantoII (BD Biosciences) and data analyzed with FlowJo software (Version 10.0.7). Bars correspond to means ± SD. Each condition was set in triplicate. Each black dot corresponds to the mean value of the three technical replicates of an independent experiment. One-way ANOVA with Tukey’s post Hoc test, (** p < 0.01; *** p < 0.001; **** p < 0.0001). The complete statistical analysis data is presented in the Supplementary Material (Table S2).
Nanomaterials 12 02475 g005
Nanomaterials 12 02475 g006 550
Figure 6. Quantification of cytokines in supernatants of BMDC cultures. The levels of TNF-α, IL-1β, IL-6 and IL-12p70 secreted by BALB/c mice BMDC were quantified by sandwich ELISA. Immune cells were incubated with live C. albicans SC5314 at a MOI of 1:5 (1 DC: 5 yeast cells) for 24 h. The 80 nm β-Glc-PS (10 μg/mL) were added 1 h prior to infection. Each condition was set in triplicate. Each black dot corresponds to the mean value of the three technical replicates of an independent experiment. Bars correspond to means ± one SD. One-way ANOVA with Tukey’s post hoc test. (*** p < 0.001; **** p < 0.0001). The complete statistical analysis data is presented in the Supplementary Material (Table S3).
Figure 6. Quantification of cytokines in supernatants of BMDC cultures. The levels of TNF-α, IL-1β, IL-6 and IL-12p70 secreted by BALB/c mice BMDC were quantified by sandwich ELISA. Immune cells were incubated with live C. albicans SC5314 at a MOI of 1:5 (1 DC: 5 yeast cells) for 24 h. The 80 nm β-Glc-PS (10 μg/mL) were added 1 h prior to infection. Each condition was set in triplicate. Each black dot corresponds to the mean value of the three technical replicates of an independent experiment. Bars correspond to means ± one SD. One-way ANOVA with Tukey’s post hoc test. (*** p < 0.001; **** p < 0.0001). The complete statistical analysis data is presented in the Supplementary Material (Table S3).
Nanomaterials 12 02475 g006
Table
Table 1. Characterization of soluble WGP. Neutral sugar analysis of soluble WGP. Carbohydrate composition of (β1,3)-Glucan (WGP) was determined by GC-FID and quantified using 2-deoxyglucose as internal standard. Mean results are presented in molecular percentage (mol %) and mass concentration (mg/g). Each condition was set in triplicate.
Table 1. Characterization of soluble WGP. Neutral sugar analysis of soluble WGP. Carbohydrate composition of (β1,3)-Glucan (WGP) was determined by GC-FID and quantified using 2-deoxyglucose as internal standard. Mean results are presented in molecular percentage (mol %) and mass concentration (mg/g). Each condition was set in triplicate.
WGP
mol %C (mg/g)
Glucose93.35607.91
Mannose0.583.54
Arabinose0.070.33
Table
Table 2. Characterization of soluble WGP. Glycosidic linkage composition (molecular percentage) of soluble WGP. The glycosidic-linkage composition of soluble WGP was determined by GC-MS of partially methylated alditol acetates. Man—Mannose; Glc—Glucose; GlcNAc—N—Acetylglucosamine Each condition was set in triplicate.
Table 2. Characterization of soluble WGP. Glycosidic linkage composition (molecular percentage) of soluble WGP. The glycosidic-linkage composition of soluble WGP was determined by GC-MS of partially methylated alditol acetates. Man—Mannose; Glc—Glucose; GlcNAc—N—Acetylglucosamine Each condition was set in triplicate.
WGP (mol %)
t-Man0.80
2,3-Man0.21
Total Man1.01
t-Glc20.60
3-Glc53.53
4-Glc1.88
6-Glc12.57
3,4-Glc1.00
2,3-Glc3.70
3,6-Glc3.81
2,3,4-Glc1.28
2,3,6-Glc0.18
Total Glc98.55
4-GlcNAc1.4
Table
Table 3. Physical properties of polystyrene NP before (COOH-PS) and after conjugation with (β1,3)-glucans (β-Glc-PS). The average hydrodynamic size of COOH-PS and β-Glc-PS NP was evaluated through dynamic light scattering (DLS) at a concentration of 0.5 mg mL−1. PDI values were determined by DLS using DynaPro Plate Reader II. Zeta-potential analysis of COOH-PS and β-Glc-PS was performed using Malvern Zetasizer Nano ZS particle analyser. Surface area valeues were obtained from manufacturer. Values represent mean ± SD from three independent experiments.
Table 3. Physical properties of polystyrene NP before (COOH-PS) and after conjugation with (β1,3)-glucans (β-Glc-PS). The average hydrodynamic size of COOH-PS and β-Glc-PS NP was evaluated through dynamic light scattering (DLS) at a concentration of 0.5 mg mL−1. PDI values were determined by DLS using DynaPro Plate Reader II. Zeta-potential analysis of COOH-PS and β-Glc-PS was performed using Malvern Zetasizer Nano ZS particle analyser. Surface area valeues were obtained from manufacturer. Values represent mean ± SD from three independent experiments.
Manufacturer Nominal Size (nm)Surface
Conjugation		Diameter (nm)PDIζ-Potential (mV)Surface Area (μm2 g−1)
200COOH-PS189.9 ± 3.30.02 ± 0.01−35.2 ± 2.02.9 × 1013
β-Glc-PS199.3 ± 3.60.03 ± 0.02−12.2 ± 0.4
80COOH-PS87.1 ± 0.70.09 ± 0.02−35.8 ± 1.47.1 × 1013
β-Glc-PS92.0 ± 0.90.08 ± 0.01−12.9 ± 1.8
26COOH-PS26.1 ± 1.30.36 ± 0.01−27.3 ± 1.32.2 × 1014
β-Glc-PS47.5 ± 0.10.57 ± 0.02−8.6 ± 0.6
Table
Table 4. β-glucan content on 0.5 mg/mL NP surface after conjugation was quantified according to Dubois et al. Values represent means ± SD.
Table 4. β-glucan content on 0.5 mg/mL NP surface after conjugation was quantified according to Dubois et al. Values represent means ± SD.
β-Glc-PS NPGlucan Concentration (μg/mL)
200 nm4.44 ± 1.67
80 nm2.97 ± 1.10
26 nm1.41 ± 0.32
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Lima, T.; Gunnarsson, S.B.; Coelho, E.; Evtuguin, D.V.; Correia, A.; Coimbra, M.A.; Cedervall, T.; Vilanova, M. β-Glucan-Functionalized Nanoparticles Down-Modulate the Proinflammatory Response of Mononuclear Phagocytes Challenged with Candida albicans. Nanomaterials 2022, 12, 2475. https://doi.org/10.3390/nano12142475

AMA Style

Lima T, Gunnarsson SB, Coelho E, Evtuguin DV, Correia A, Coimbra MA, Cedervall T, Vilanova M. β-Glucan-Functionalized Nanoparticles Down-Modulate the Proinflammatory Response of Mononuclear Phagocytes Challenged with Candida albicans. Nanomaterials. 2022; 12(14):2475. https://doi.org/10.3390/nano12142475

Chicago/Turabian Style

Lima, Tânia, Stefán B. Gunnarsson, Elisabete Coelho, Dmitry V. Evtuguin, Alexandra Correia, Manuel A. Coimbra, Tommy Cedervall, and Manuel Vilanova. 2022. "β-Glucan-Functionalized Nanoparticles Down-Modulate the Proinflammatory Response of Mononuclear Phagocytes Challenged with Candida albicans" Nanomaterials 12, no. 14: 2475. https://doi.org/10.3390/nano12142475

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop