ABSTRACT
Cryptococcus neoformans is a human fungal pathogen responsible for fatal infections, especially in patients with a depressed immune system. Overexposure to antifungal drugs due to prolonged treatment regimens and structure-similar applications in agriculture have weakened the efficacy of current antifungals in the clinic. The rapid evolution of antifungal resistance urges the discovery of new compounds that inhibit fungal virulence determinants, rather than directly killing the pathogen, as alternative strategies to overcome disease and reduce selective pressure toward resistance. Here, we evaluated the efficacy of freshwater mussel extracts (crude and clarified) against the production of well-defined virulence determinants (i.e., thermotolerance, melanin, capsule, and biofilm) and fluconazole resistance in C. neoformans. We demonstrated the extracts’ influence on fungal thermotolerance, capsule production, and biofilm formation, as well as susceptibility to fluconazole in the presence of macrophages. Additionally, we measured the inhibitory activity of extracts against commercial peptidases (family representatives of cryptococcal orthologs) related to fungal virulence determinants and fluconazole resistance, and integrated these phenotypic findings with quantitative proteomics profiling. Our approach defined distinct signatures of each treatment and validated a new mechanism of anti-virulence action toward the polysaccharide capsule from a selected extract following fractionation. By understanding the mechanisms driving the antifungal activity of mussels, we may develop innovative treatment options to overcome fungal infections and promote susceptibility to fluconazole in resistant strains.
IMPORTANCE
As the prevalence and severity of global fungal infections rise, along with an increasing incidence of antifungal resistance, new strategies to combat fungal pathogens and overcome resistance are urgently needed. Critically, our current methods to overcome fungal infections are limited and drive the evolution of resistance forward; however, an anti-virulence approach to disarm virulence factors of the pathogen and promote host cell clearance is promising. Here, we explore the efficacy of natural compounds derived from freshwater mussels against classical fungal virulence determinants, including thermotolerance, capsule production, stress response, and biofilm formation. We integrate our phenotypic discoveries with state-of-the-art mass spectrometry-based proteomics to identify mechanistic drivers of these antifungal properties and propose innovative avenues to reduce infection and support the treatment of resistant strains.
KEYWORDS: Cryptococcus neoformans, invertebrates, mussels, extracts, antifungals, virulence determinants, drug resistance, quantitative proteomics, One Health
INTRODUCTION
Fungal infections pose a significant threat to human health worldwide. Cryptococcus neoformans is a human fungal pathogen found ubiquitously within the environment and of particular concern due to its ability to cause severe infections in immunocompromised individuals, especially HIV/AIDS patients (1). With a 73% worldwide mortality rate (including a 12% mortality rate in the United States alone), this yeast is one of the deadliest fungal pathogens (2, 3). Currently, three classes of antifungal drugs are effective at treating cryptococcal infections (i.e., azoles, polyenes, and flucytosine); however, their overuse in clinical settings has produced an emergence of drug-resistant fungi that limit drug efficacy (4). Notably, some of these antifungals (e.g., azoles) are also used in agricultural venues where environmental microorganisms, such as Aspergillus fumigatus and C. neoformans, may trigger resistance mechanisms outside the host, reducing therapeutic options in the clinic (5–7).
Combining these overlapping areas, fungal infections have turned into a One Health problem (i.e., the interconnectivity across environmental, animal, and human health), highlighting the urgent need to explore alternative therapeutic strategies, such as targeting fungal virulence determinants instead of cell growth to reduce pathogen burden and promote immune system clearance (8). The virulence determinants of C. neoformans play crucial roles in fungal pathogenicity and contribute to the severity of infection (9). One of the most important is the polysaccharide capsule, which is comprised mainly of glucuronoxylomannan (GXM) and protects the fungus from desiccation within the natural environment and the phagocytic action of the host immune system (10). Inhibiting capsule formation or disrupting its structure increases the vulnerability of the fungus to an immune attack and enhances the efficacy of antifungal treatments (9, 11). Melanin is another critical virulence determinant, a dark pigment that protects against environmental stresses and antifungal drugs (12). Targeting the melanin synthesis pathway could increase the susceptibility of C. neoformans to antifungal agents and reduce its ability to cause disease.
The secretion of multiple enzymes (e.g., urease, phospholipases, and peptidases) by C. neoformans also contributes to fungal virulence by damaging host cells and tissues and promoting fungal survival and dissemination to the brain (13, 14). Inhibition of these enzymes is a potential strategy to reduce fungal damage and limit spread within the host (15). Thermotolerance mechanisms to human temperature (37°C) are also considered an important virulence factor that allows the pathogen to grow and disseminate within the host when other microorganisms cannot (16). Moreover, although not considered a traditional virulence factor, the cryptococcal biofilm constitutes a common defense mechanism against host and antifungal action by decreasing their effectiveness (17). The inhibition of biofilm formation or promotion of biofilm disruption are desired properties in discovery pipelines (18). Taken together, by disrupting these key virulence determinants, we aim to increase the efficacy of existing antifungal agents or reduce the severity of infections caused by C. neoformans with potential extrapolation to other fungal pathogens using similar mechanisms of virulence without disruption to the normal human microbiota (19, 20).
The specificity and toxicity of novel agents targeting fungal pathogens must be carefully prioritized, given the shared structures and metabolic pathways between fungal pathogens and their human hosts (21). In this context, natural compounds provide promising antifungal candidates due to selection over evolutionary timescales as effective defense mechanisms against multiple pathogens without causing adverse effects to the host (22, 23). Invertebrates are one of the most diverse groups of organisms on the planet, possessing an effective innate immune system against multiple pathogens with minimal cytotoxic effect on mammalian cells (24–27). Critically, invertebrates represent a promising reservoir for novel compound discovery with antifungal properties, and specifically, the efficacy of extracts (crude and clarified) from freshwater and terrestrial mollusks have proven diverse antifungal activity against C. neoformans (28, 29).
In the current study, we assessed the antifungal properties of two freshwater mussel species against C. neoformans, focusing on extract impact on fungal virulence determinants and susceptibility to fluconazole. We prepared an aqueous extract from Dreissena polymorpha and segmented aqueous extracts from Lasmigona costata. Upon fungal treatment with the extracts, we observed significant targeted effects toward thermotolerance, biofilm formation, and capsule production, as well as an influence on susceptibility to fluconazole in the presence of macrophages. These observations were dependent upon the extract source and clarification process. Additionally, we performed inhibitory activity assays against multiple commercial peptidases from Saccharomyces cerevisiae (family representatives of cryptococcal orthologs) related to virulence determinant production. We also demonstrated correlative findings along with complementation of the phenotypic assays with molecular profiling of each extract using mass spectrometry-based proteomics (30, 31). Integration of these data sets defined core and unique protein signatures across the mussel extracts, followed by the validation of new mechanisms of anti-virulence action against C. neoformans. Further, fractionation of a selected extract revealed specific activity supported by validation of compound class and in vitro inhibition, as well as reduced capsule production. Overall, our findings stress the importance of evaluating and quantifying the efficacy of natural sources to fight globally devastating fungal pathogens. By understanding mechanisms driving the antifungal activity of mussels, we may develop novel treatments for fungal infections and decrease resistance to conventional antifungal drugs.
MATERIALS AND METHODS
Protein extraction
Proteins were extracted from two species of freshwater mussels, D. polymorpha (zebra mussel) and L. costata (fluted shell mussel). Dreissena polymorpha were collected from Sand Lake in Ontario, and L. costata from the Grand River in Ontario. Mussel tissue extraction was performed as previously described with some variations (32). Briefly, 20–25 g of tissue from mussels was cut, pooled, flash frozen, and ground with a mortar and pestle. For L. costata, organs that receive the greatest exposure to the environment outside the valves were dissected into gill, foot, and mantle before tissue homogenization. The resulting powder was resuspended in Milli-Q water using a 1:2 ratio (wt:vol) with metal beads (1 g/mL) and further disrupted using a bullet blender at 1200 rpm for 5 min at 4°C. Next, samples were centrifuged at 12,000 × g for 20 min at 4°C obtaining a crude extract (i.e., non-clarified). Clarified extracts were obtained using thermal precipitation at 60°C for 30 min and centrifuged at 15,000 × g for 45 min at 4°C as previously described (29). All samples were filtered with 0.22 µm membranes, aliquoted, and stored at −20°C until use. The bicinchoninic acid assay (BCA) was used to measure the total protein concentration for each extract (33).
Strains and growth conditions
C. neoformans variety grubii strain H99 (wild type) was used for all cultures related to virulence factor assays. Fungal strains were routinely kept on yeast peptone dextrose (YPD) agar (1% yeast extract, 2% Bacto-peptone, 2% D-glucose, and 2% agar) and stored at 4°C. The clinical (CL) fluconazole-resistant (64 µg/mL) C. neoformans var. grubii H99 strain was generously donated by Dr. Jennifer Tenor and Dr. John Perfect (Duke University) and maintained on YPD plates supplemented with 64 µg/mL fluconazole and 34 µg/mL chloramphenicol.
Overnight cultures of C. neoformans were washed and resuspended in Yeast Nitrogen Base (YNB) to a concentration of 105 cells/mL. Next, to assess the effect of mussel extracts (crude and clarified) on the growth of C. neoformans at 37°C and 30°C, 10 µL of an extract serial dilution series was mixed with 190 µL of fungal cells (previously resuspended in YNB) in a 96-well plate. Growth curves were measured using a plate reader (Synergy-H1, Biotek) at 200 rpm for 60 h, followed by optical density (OD600nm) readings every 15 min. All experiments were performed in five biological and two technical replicates.
Capsule production
Overnight cultures of C. neoformans H99 from YPD were sub-cultured in YNB and incubated overnight at 30°C with 200 rpm shaking. Production of polysaccharide capsule was induced as previously described (29). Briefly, 105 cells/mL were cultured in 5 mL of low iron media (LIM; 0.5% L-asparagine, 0.4% HEPES, 0.04% K2HPO4, 0.008% MgSO4 · 7H2O, 0.2% NaHCO3, and 0.025% CaCl2 · 2H2O) and incubated for 72 h at 37°C. Visualization of cells was performed by mixing cells with India ink using a 1:1 ratio on microscope slides and visualizing with a Differential interference contrast (DIC) microscope and a 63× oil objective. Capsule production was quantified using a ratio of total cell size (with capsule) to cell size (without capsule). All measurements were obtained using three biological replicates with 50–60 cells assessed per condition, and the experiment was performed in technical duplicate.
For E-64 treatment to validate the proteome findings, C. neoformans H99 cells were prepared as described and treated with E-64, a general cysteine-like peptide inhibitor (34), to confirm the involvement of cysteine-like peptidases (e.g., CNAG_05601) in capsule production (35). Capsule production was visualized and quantified as stated above.
Melanin production
Melanin production was induced as described previously (29). Briefly, overnight C. neoformans H99 cultures were sub-cultured in YNB overnight and incubated overnight at 30°C and 200 rpm. Afterward, the cells were collected by centrifugation and resuspended in phosphate-buffered saline (PBS) to reach a final concentration of 106 cells/mL. Treated cells were incubated with 20 µL of mussel extracts (crude or clarified) for 4 h, serially diluted and spread on L-3,4-dihydroxyphenyl-alanine (L-DOPA) agar plate [1.4% agar, 13 mM glycine, 30 mM KH2PO4, 10 mM MgSO4 · 7H2O, 5 mM glucose, 2.8 µM thiamine, 1 mM L-DOPA (Sigma)]. Plates were statically incubated for 48–72 h at 37°C, with pictures taken every 24 h under standardized conditions in a photographic chamber. To quantify melanin production, photographs were analyzed as previously described (36). All measurements were obtained using six biological and two technical replicates.
Biofilm formation
Biofilm formation was induced using a previously described protocol (29). Briefly, overnight C. neoformans H99 cultures in YNB were resuspended in Dulbecco’s modified Eagle’s medium (DMEM) (Corning). To potentially reduce effects on growth, a concentration of 106 cells/mL, 10 times higher than for growth, was used. Next, 285 µL of fungal cells combined with 15 µL of protein extracts or PBS (control) was transferred into individual wells of sterile, polystyrene, flat-bottom, 24-well microtiter plates (Corning), and statically incubated at 37°C for 48 h. After the incubation period, the supernatant from each well was removed and washed two times with sterile water and air-dried for 10 min at room temperature.
For biofilm quantification, cells were washed two times, stained with crystal violet solution, and incubated at room temperature for 10 min (37). Next, each well was thoroughly washed, and biofilms were destained with 100% ethanol for 10 min at room temperature. Finally, the destained solution from each well was transferred to a new 96-well microtiter plate, and OD550nm was measured using a plate reader (Synergy-H1, Biotek). All measurements were performed using four biological replicates, and the experiment was repeated in duplicate.
Biofilm disruption
For biofilm disruption, wells with fungal cells only were prepared as described above with static incubation in DMEM at 37°C wrapped in aluminum foil for 24 h. At this time, 15 µL of mussel extract (crude and clarified) was added to each well to achieve a final volume of 300 µL and incubated for an additional 24 h at 37°C wrapped in aluminum foil. All measurements were performed using four biological replicates, and the experiment was repeated in duplicate.
Osmotic and cell membrane stress assays
Osmotic and cell membrane stress were assessed using YPD agar plates supplemented with NaCl (1 M) and SDS (0.01%), respectively. In each case, C. neoformans cells were grown to mid-log phase in YPD at 30°C and 200 rpm, normalized to 106 cells/mL, and incubated with each extract and/or fluconazole (8 µg/mL for H9) for 4 h at 30°C and 200 rpm. The cells were serially diluted 10-fold from 106 to 101 cells/mL, and 5 µL was spotted on each plate. YPD plates supplemented with the different stressors were statically incubated at 30°C and 37°C. Growth was followed by taking images every 24 h for a minimum of 72 h. Each experiment was performed using three biological and two technical replicates.
Urease activity assay
To assess the effect of the extracts on secretory pathways, we evaluated urease activity as previously described with minor variations (38). Briefly, C. neoformans H99 cells were grown to mid-log phase in YPD at 30°C and 200 rpm, normalized to 106 cells/mL, and incubated with each extract for 4 h at 30°C and 200 rpm. The cells were serially diluted 10-fold from 106 to 101 cells/mL, and 5 µL was spotted in Christensen’s Urea Agar (peptone 0.1%, glucose 0.1%, NaCl 0.5%, KH2PO4 0.2%, Phenol red 0.0012%, urea 2%, and agar 1.5%) (39). Urea agar plates were statically incubated at 30°C and 37°C. Urease activity was followed by taking images at 24 h and measuring the ratio between the halos and the cells. Each experiment was performed using three biological and two technical replicates.
Macrophage infection
To assess the susceptibility of the WT (H99) and CL strains against immortalized macrophages derived from BALB/c mice in the presence of the mussel extracts, the fungal cells were grown as previously described with some variations (40). Briefly, macrophages were normalized to 50,000 cells/mL using DMEM supplemented with penicillin and streptomycin and statically incubated at 37°C, CO2 5% for 48 h. The C. neoformans strains were cultured in liquid YPD at 37°C and 200 rpm for 18 h and sub-cultured O/N in the same conditions. Cryptococcal cells were collected by centrifugation and washed two times with PBS. Using a hemocytometer, the cells were normalized to 1 × 106 cells/mL in 1 mL of DMEM. Cryptococcal cells were opsonized by adding 1 µg of anti-GXM antibodies (1 µg/mL) and incubated for 1 h at 37°C and 5% CO2.
For infection, macrophages were gently washed with 1 mL of PBS and diluted in DMEM with C. neoformans (106 cells/mL). After static incubation for 90 min at 37°C and 5% CO2, the cells were washed two times with PBS and diluted in DMEM with extracts (50 µL) and/or 64 µg/mL of fluconazole and incubated for 15 h at 37°C and 5% CO2. Macrophages were washed two times with PBS and incubated with 1.2% Triton X-100 for 10 min at room temperature. From each well, 1 mL was collected and serially diluted in PBS using a 10-fold series until 10 cells/mL was achieved. From each dilution, 100 µL was plated on YPD-agar plates, allowed to dry at room temperature for 10 min, and incubated at 30°C for 48 h. Colony-forming units (CFUs) were counted on each condition and dilution.
Cytotoxicity assay
To analyze the cytotoxic effect of extracts against mammalian cells, we assessed the lactate dehydrogenase (LDH) activity of BALB/c macrophages as previously described (40). Extract (10 µL) was combined with 1 mL DMEM-containing macrophages using 24-well plates and, statically, incubated at 37°C, 5% CO2 for 4 h. Triton (1.2%) was added to the non-treated wells for total death and incubated at room temperature for 30 min. LDH substrate (NAD+) (Sigma-Aldrich, USA) and samples were mixed using a 1:1 ratio (vol:vol) in 96-well plates and incubated at room temperature for 20 min before adding a stopping solution (Sigma-Aldrich, USA). LDH activity was quantified by measuring OD450nm. Media only and Triton 1.2% were used as blanks for extract-containing wells and total death replicates. Each experiment was performed using three biological and two technical replicates.
Fluconazole resistance
To assess the effect of mussel extracts on fluconazole resistance, cryptococcal cells were prepared as outlined above for growth assays. Each sample was mixed with the CL strain in the presence or absence of fluconazole (64 µg/mL) in 96-well plates wrapped in aluminum foil and incubated at 37°C and 200 rpm for 72 h. Growth was discontinuously followed at OD600nm every 24 h. Optical density values on each condition were normalized against the corresponding control (i.e., cells with or without fluconazole).
Substrates, enzymes, and buffers
For enzymatic assays, Kexin (EC 3.4.21.61), Pepsin (EC 3.4.23.1), Subtilisin A (EC 3.4.21.62), Papain (EC 3.4.22.2), and Thermolysin (EC 3.4.24.27) were purchased and used as targets for the potential inhibitory effect of the extracts. Substrates and enzymatic activity conditions for each enzyme are summarized in Table S1.
Enzymatic activity conditions
Inhibitory activity was assessed by incubating each extract with different peptidases for 5 min in the corresponding buffer at room temperature (see Table S1). Enzymatic activity was measured by adding the corresponding substrate to a final concentration of 1 Km (Michaelis-Menten constant) and monitoring the product’s appearance over time. Excitation and emission wavelengths used are listed in Table S1.
Fast protein liquid chromatography
Extracts with desired phenotypic effects were fractionated using Fast Protein Liquid Chromatography (FPLC) with a Superose 6 Increase 10/300 Gl (Cytiva) column, according to the manufacturer’s instructions. Briefly, the column was washed with PBS using two column volumes (CVs) before loading 500 µL (approximately 4 mg of protein) of sample. Fractionating was performed at room temperature using a flow rate of 0.5 mL/min of PBS, and the sample collector was programmed to collect 1 mL per fraction. Progress of the chromatography was monitored using absorbance at 214, 260, 280, and 405 nm.
Mass spectrometry-based proteomics
Profiling of the mussel extracts was performed as previously described for secretome samples (41). Briefly, 100 µg of crude and clarified mussel extracts were enzymatically digested using a trypsin/Lys-C mixture, followed by desalting and purification using STop And Go Extraction (STAGE)-tips (42). Samples were measured on an Orbitrap Exploris 240 hybrid quadrupole-orbitrap mass spectrometer (Thermo Fisher Scientific) coupled to an Easy-nLC 1200 high-performance liquid chromatography device (Thermo Fisher Scientific). Samples were loaded onto an in-line 75 mm by 50 cm PepMap RSLC EASY-Spray column filled with 2-mm C18 reverse-phase silica beads (Thermo Fisher Scientific). Separated peptides were electro-sprayed into the mass spectrometer with a linear gradient of 3–20% buffer B (80% acetonitrile and 0.5% acetic acid) over a 60-min gradient, followed by a wash with 100% buffer B with a 250 nL/min flow rate. The mass spectrometer was operated in a data-dependent acquisition model and switched between one full scan and MS/MS scans of abundant peaks. Full scans (m/z 400 to 2,000) were acquired in the Orbitrap mass analyzer with a resolution of 120,000 at m/z 200.
Mass spectrometry data processing
Analysis of mass spectrometry raw data files was performed using MaxQuant software (version 1.6.0.26) (43). Given that these mussel species do not have complete proteomes annotated, the search was performed using the incorporated Andromeda search engine (44) against the proteins of the Unionida group (24,205 sequences; 20 February 2023) for L. costata and D. polymorpha proteins (265,287 sequences; 20 February 2023) for D. polymorpha from UniProt (45) and NCBI (46). The following parameters were included: trypsin enzyme specificity with a maximum of two missed cleavages, a minimum peptide length of seven amino acids, fixed modifications, including carbamidomethylation of cysteine, and variable modifications, including methionine oxidation and N-acetylation of proteins and split by taxonomic ID. Peptide spectral matches were filtered using a target-decoy approach at a false-discovery rate (FDR) of 1%, with a minimum of two peptides required for protein identification. Relative label-free quantification (LFQ) was enabled, and the MaxLFQ algorithm used a minimum ratio count of 1 (47).
Bioinformatics
Statistical analysis and data visualization of the proteomics data were performed using Perseus (version 2.0.6.0) (48). Data were prepared by filtering for reverse database matches, contaminants, and proteins only identified by site, followed by log2 transformation of LFQ intensities. Filtering for valid values (three of four replicates in at least one group) was performed, missing values were imputed from the normal distribution (width, 0.3; downshift, 1.8 standard deviations), and group values were averaged. Significant differences were evaluated by a Student’s t test (P value ≤ 0.05) with multiple-hypothesis testing correction using the Benjamini-Hochberg (FDR = 0.05 with S0 = 1) (49). Proteomics profiling was performed in quadruplicate.
Statistical analysis
For phenotypic assays (i.e., growth, capsule, melanin, and biofilm), data were visualized and statistically analyzed using GraphPad Prism version 9.0 (GraphPad Software, Inc., USA; https://www.graphpad.com/). Statistical tests were performed by one-way analysis of variance (ANOVA) followed by Dunnett’s multiple comparisons tests (treatments against control). P values of ≤ 0.05 were considered significant.
RESULTS
Protein extracts from mussels affect growth and thermotolerance for C. neoformans
Distinct extracts derived from the tissue of mussels were assessed by BCA to determine protein concentrations (Table S2). The results confirm successful protein extraction in crude extracts and as expected, protein loss during clarification. Notably, the highest protein concentration was from crude D. polymorpha extracts, and for subsequent experiments, concentrations were normalized across extracts, as appropriate, and dilution series were generated.
To assess the potential antifungal properties of the mussel extracts on C. neoformans growth and tolerance to human temperature (i.e., thermotolerance), we exposed the fungi to different extract concentrations (twofold dilution series from pure extract) at 30°C and 37°C. For the D. polymorpha crude extract, we observed inhibition of fungal growth with a significant (P < 0.0001) difference in growth using a low extract concentration (56 µg/mL) compared to the control (i.e., no extract present) (Fig. 1A). However, this inhibitory effect was not observed at 30°C (Fig. 1B), supporting a thermotolerance effect. Similar results were observed using the clarified extract of D. polymorpha where inhibition was observed above 22 µg/mL at 37°C (Fig. 1C), but no growth defect was observed at 30°C (Fig. 1D). On the contrary, for L. costata, we observed extracts with significant (P < 0.05) inhibition using low protein concentration ranges (8–60 µg/mL) of each dissected tissue at 30°C and to a lesser extent at 37°C (Fig. 1E through J), suggesting a role in fungal growth and thermotolerance. Interestingly, we observed a dose-dependent reduction in fungal growth under the tested conditions.
Fig 1.
Effect of extracts from mussels on growth (30°C) and thermotolerance (37°C) of C. neoformans H99. (A and B) D. polymorpha crude; (C and D) D. polymorpha clarified; (E and F) L. costata (Gill); (G and H) L. costata (Foot); and (I and J) L. costata (Mantle). Controls consist of C. neoformans cells in YNB media without extracts. Experiments were performed in five biological replicates and two technical duplicates. Error bars indicate standard deviation. Statistical analysis was performed using a one-way ANOVA and comparing growth after 24 h and Dunnett’s multiple comparison tests with a P value of 0.05; *: P < 0.05; **: P < 0.01; ***: P < 0.001 and ****: P < 0.0001. Figures were created using GraphPad Prism 9.
Protein extracts from D. polymorpha affect C. neoformans capsule but not melanin production
To assess the impact of mussel extracts on another critical virulence determinant for C. neoformans, we explored the inhibition of polysaccharide capsule production. We observed that both crude and clarified extracts from D. polymorpha significantly (P < 0.0001) inhibited the production of polysaccharide capsules by approx. 26% compared to the control (Fig. 2A and B). However, in the presence of L. costata extracts, we did not observe a significant reduction in capsule size across the treatments (Fig. 2C). In this assay, we used C. neoformans H99 cultured in LIM as the control for comparison to extract treatments. Notably, none of the extracts altered melanin production (Fig. S1). These results highlight a prominent effect of the extracts against the polysaccharide capsule of C. neoformans using different mussel species, which supports an opportunity to weaken fungal virulence determinant production within the host and promote fungal clearance.
Fig 2.

Effect of mussel extracts on polysaccharide capsule production in C. neoformans at 37°C. (A) Control (No treatment). (B) Effect of crude and clarified extracts from D. polymorpha. (C) Effect of crude extracts from different morphological regions of L. costata. The cells were visualized using India ink (1:1 ratio) and a DIC microscope with an oil 63× objective. Error bars indicate standard deviation. Statistical analysis was performed using a one-way ANOVA and Dunnett’s multiple comparison tests with a P value of 0.05. **: P < 0.01; ***: P < 0.001 and ****: P < 0.0001. Approx. 50–60 cells were measured per treatment, with a ratio of total cells (including capsule) to cell body presented. Experiments were performed in biological triplicate and two technical duplicates. The figures were created using GraphPad Prism 9.
Mussel extracts impact cryptococcal biofilm formation but not disruption in pre-formed communities
To evaluate the potential effects of mussel extracts on cryptococcal biofilm formation, the cells were incubated with extracts from D. polymorpha and L. costata at 37°C for a 48-h period. Here, we detected a significant reduction of biofilms after treatment with crude and clarified extracts of D. polymorpha, respectively (Fig. 3A and B). Similarly, we also observed a significant reduction in biofilm biomass upon treatment with segmented regions of L. costata (Fig. 3C through E). We acknowledge that differences in the inhibition of biofilm formation may be related to the inhibition of fungal growth; however, the lower extract concentrations tested in the biofilm assay (that showed inhibition, which was not observed in the growth assays at higher extract concentrations) support distinct mechanisms of action of the extracts between the two assays. Next, given our observations of reduced biofilm biomass upon extract treatment, we further assessed if extracts eliciting a dose-dependent inhibitory effect on biofilm formation could also disrupt pre-formed fungal biofilms at 37°C. We did not observe a significant effect on pre-established biofilms upon extract treatment (Fig. S2).
Fig 3.

Effect of mussel extracts on biofilm formation of C. neoformans H99 at 37°C. (A) D. polymorpha crude; (B) D. polymorpha clarified; (C) Crude L. costata (Gill); (D) Crude L. costata (Foot); and (E) Crude L. costata (Mantle). Biofilm formation on each condition was normalized to the control without any extract (0 µg/mL). Experiments were performed in biological quadruplicate and technical duplicate. Error bars indicate standard deviation. Statistical analysis was performed using a one-way ANOVA and Dunnett’s multiple comparison tests with a P value of 0.05. **: P < 0.01; ***: P < 0.001 and ****: P < 0.0001. Figures were created using GraphPad Prism 9.
Resistance to membrane stress is influenced by extract treatment
To identify mechanisms that may explain the inhibitory effects of each extract, C. neoformans cells were briefly treated using sub-inhibitory concentrations of the extracts and exposed to osmotic and membrane stressors (Fig. S3A). This evaluation revealed that extracts from the foot and mantle of L. costata affect the pathogen’s ability to resist membrane stress caused by the chaotropic agent, SDS (0.01%) (Fig. S3B). These effects were comparable to 8 µg/mL (1 minimal inhibitory concentration [MIC]90) of fluconazole, a known membrane disruptor. However, when exposed to osmotic stress (1 M NaCl), extracts did not produce a visible effect compared to 10 µg/mL of Amphotericin B (5 × MIC90), an osmotic disrupter (Fig. S3C) (50). Finally, we assessed the extracts' effect on secretory mechanisms by detecting urease activity. We did not observe a notable effect in this assay compared to the urease inhibitor, EDTA (5 mM) (Fig. S3D).
Mussel extracts reduce the survival of C. neoformans H99 upon co-culture with macrophages
Given the implication of the extracts on significantly reducing fungal growth, thermotolerance, and capsule production, we hypothesize that treatment increases fungal susceptibility to host defenses. Thus, we evaluated the effect of extract treatment on fungal survival within macrophages (i.e., a first line of defense within the mammalian system to clear pathogens) (51). Since C. neoformans survives within macrophages and uses the cells as a strategy to invade the central nervous system, we assessed the ability of the mussel extracts to reduce the fungal burden within an in vitro macrophage assay (52). In this assay, cryptococcal cells were co-cultured with immortalized macrophages from BALB/c mice before incubation with mussel extracts, followed by quantification of the infection burden using CFU counts (Fig. 4). Crude extracts from D. polymorpha had a significant (P < 0.05) inhibitory effect on the survival of C. neoformans. This inhibitory effect was enhanced after clarification. Furthermore, all extracts from L. costata significantly reduced the survival of cryptococcal cells co-cultured with macrophages. We also assessed the possible cytotoxic effects of the extracts on mammalian cells (i.e., BALB/c macrophages) by quantifying LDH release. Notably, we did not observe significant differences in LDH release compared to the untreated control for all extracts except the L. costata gill (Fig. S4).
Fig 4.
Effect of mussel extracts on C. neoformans H99 survival after co-culture with BALB/c macrophages. Experiments were performed using three biological replicates and technical duplicates. Control indicates natural death after the incubation period without extract treatment. Error bars indicate standard deviation. Statistical analysis was performed using a one-way ANOVA and Dunnett’s multiple comparison tests with a P value of 0.05; *: P < 0.05; **: P < 0.01; ***: P < 0.001; and ****: P < 0.0001. Figures were created using GraphPad Prism 9.
Protein extracts from mussels increase the susceptibility of C. neoformans to fluconazole treatment in the presence of macrophages
Given our observations of disruption to cell membrane integrity using external stressors, we next aimed to assess the potential of mussel extracts to influence susceptibility to fluconazole in resistant C. neoformans strains. Fluconazole is a mainstream antifungal that inhibits Erg11, a protein involved in ergosterol synthesis, to cause increased membrane instability and delayed development (53). Here, we monitored the growth of the fluconazole-resistant CL C. neoformans H99 strain treated with each extract, fluconazole (64 µg/mL), or a combination of extract and fluconazole. We did not observe a significant difference in the susceptibility of the CL strain to fluconazole in the presence of the extracts (Fig. 5A through E).
Fig 5.

Effect of mussel extracts on fluconazole susceptibility and macrophage clearance of the fluconazole-resistant CL strain. (A) D. polymorpha crude; (B) D. polymorpha clarified; (C) Crude L. costata (Gill); (D) Crude L. costata (Foot); and (E) Crude L. costata (Mantle). Growth at 37°C was monitored using OD600nm. Survival after macrophage infection was monitored by quantification of CFU after 15 h of infection. Each treatment with extract was normalized with the non-treated sample, and extract combined with fluconazole (64 µg/mL) was normalized using a fluconazole-only sample (64 µg/mL). Statistical analysis was performed using a Kruskal-Wallis test and Šídák multiple comparison test with a P value of 0.05; *: P < 0.05; **: P < 0.01; ***: P < 0.001; and ****: P < 0.0001. Figures were created using GraphPad Prism 9.
Next, given our observation of macrophage clearance on fungal strains following extract treatment, and the connection between fluconazole susceptibility and the immune system (54, 55), we evaluated the potential for interactions between fluconazole and macrophages to influence fungal survival. In this assay, fungal cells were co-cultured with macrophage followed by treatment with extracts, fluconazole (64 µg/mL), or the combination of extracts and fluconazole. Macrophages were lysed and CFU counts of C. neoformans were performed to assess the potential for macrophages to influence the fluconazole susceptibility of the CL strain. We observed a significant reduction in fungal cell survival when extract treatment was combined with fluconazole in the presence of macrophages for the crude extracts of D. polymorpha (Fig. 5A). However, we did not observe a significant effect using clarified extracts of D. polymorpha (Fig. 5B) or using extracts from the gill and foot of L. costata (Fig. 5C and D). Extracts from the mantle of L. costata also increased macrophage clearance upon fluconazole treatment (Fig. 5E). These data support a role for selected extracts in promoting fluconazole susceptibility in the presence of macrophages.
Mussel extracts inhibit distinct commercial orthologs of virulence-related peptidases in C. neoformans to confirm phenotypic assessments
To uncover potential molecular mechanisms driving the phenotypic effects of the mussel extracts, we evaluated their inhibitory activity against commercial orthologs of virulence-related peptidases (14). For instance, we assessed metallopeptidase activity (essential for fungal brain invasion) and aspartic proteolytic activity (involved in fungal escape from macrophages) (15, 56, 57). Notably, previous research reported that inhibition of these enzymes using natural compounds reduced brain burden and virulence in a mouse model (58). We measured the IC50 values of each extract against commercial enzymes (commonly derived from S. cerevisiae) from different catalytic mechanism classes [i.e., Pepsin (EC 3.4.23.1), Subtilisin A (EC 3.4.21.62), Papain (EC 3.4.22.2), and Thermolysin (EC 3.4.24.27)] (Table 1). Notably, although the enzymes tested are not derived from C. neoformans, the enzymes constitute family representatives related to our study (59). Here, we detected a high inhibitory activity of L. costata extracts against Subtilisin-like enzymes (associated with fungal quorum sensing) (60). We also measured a notable reduction in the proteolytic activity of the Papain-like enzyme (associated with capsule production) using clarified extracts of D. polymorpha (61). Similarly, we observed that clarified D. polymorpha extracts and L. costata (mantle) have moderate inhibitory activity against Pepsin-like enzymes (associated with biofilm formation and macrophage resistance) (15). Finally, we detected that clarified extracts from D. polymorpha and extracts from L. costata have inhibitory activity against Thermolysin-like peptidases (related to fluconazole resistance) (62). Assays with no change in fungal phenotypic profiling were observed for the respective extract and preparation; activity was not assessed (i.e., “ND”). If the intrinsic proteolytic activity was detected, IC50 values could not be measured and were defined as “IPA.” Taken together, these findings connect four inhibitory activity profiles of the mussel extracts with the phenotypic observations associated with changes in fungal virulence determinant production.
TABLE 1.
IC50 values of mussel extracts toward commercial orthologs of virulence-related peptidases defined in Cryptococcus neoformansa
| Mussel extracts | Subtilisin-like (quorum sensing) | Papain-like (capsule) | Pepsin-like (biofilm) | Thermolysin-like (drug resistance) |
|---|---|---|---|---|
| D. polymorpha crude | ND | IPA | ND | ND |
| D. polymorpha clarified | ND | 4.07 µg/mL | 80 µg/mL | 146 µg/mL |
| L. costata (gill) | 3.39 µg/mL | ND | ND | 74.1 µg/mL |
| L. costata (mantle) | 2.26 µg/mL | ND | 48 µg/mL | 60.5 µg/mL |
| L. costata (foot) | 8.84 µg/mL | ND | ND | 26.6 µg/mL |
IPA: intrinsic proteolytic activity, ND: not assessed.
Proteomic profiling defines signatures supporting phenotypic fungal modulation by mussel extracts
Given our phenotypic findings across experimental assays, we integrated inhibition profiles across phenotypic data sets normalized to untreated C. neoformans H99 (Fig. 6A). These data reported that for thermotolerance, all mussel extracts had an impact on C. neoformans cells grown at 37°C. For capsule production, the crude and clarified extracts from D. polymorpha significantly reduced capsule production, while none of the extracts altered melanin production. Additionally, we observed that all extracts impacted biofilm formation without a disruptive effect. Moreover, susceptibility to fluconazole in the C. neoformans CL strain was influenced by the crude extract of D. polymorpha and the crude extract of L. costata’s mantle within macrophage.
Fig 6.
Correlation of phenotypic extract effects on C. neoformans by defining proteomic signatures. (A) Summary of the inhibitory effect of protein extracts on C. neoformans virulence factors. Values were normalized to the respective control. (B) Number of proteins shared among mussel extract combinations. (C and D) Pie charts show the distribution of proteins identified in the mussel extracts, i.e., D. polymorpha and L. costata, based on Gene Ontology Molecular Function (GOMF) and protein names. Proteomics data were analyzed with MaxQuant. Experiments were performed in biological quadruplicate. The figures were created using GraphPad Prism 9.
Next, bottom-up mass spectrometry-based proteomics profiling was performed to identify potential candidate proteins present in the mussel extracts, specifically, proteins driving the phenotypic, virulence, and resistance mechanisms evaluated above. This analysis revealed over 500 proteins across the two mussel species detectable within the extracts. Based on these results, we defined each of the mussel extracts (i.e., D. polymorpha and L. costata) and the respective preparation (i.e., crude and clarified) or morphological region (i.e., gill, foot, or mantle) from (A–E) (Table S3). We identified proteomics signatures for each combination (Fig. 6B). In this context, unique and common proteins (0 to over 100) were determined for each phenotype-associated classification.
To uncover the identities of these candidate proteins and explore their potential relationship with phenotypic changes in C. neoformans, we used Gene Ontology Molecular Function (GOMF) affiliations and defined protein names. For instance, all extracts with inhibitory effects on thermotolerance and biofilm formation shared 74 unique proteins with functions related to actin binding (approx. 4%), β-catenin binding (approx. 1.3%), and calcium binding (approx. 6.7%) (Fig. 6C). Likewise, extracts from crude and clarified D. polymorpha with effects on capsule production shared 316 proteins involved in multiple molecular processes, such as chitin-binding (approx. 0.6%), mannosidase activity (approx. 0.3%), peptidase inhibitors (approx. 1.2%), and calcium binding (approx. 2.2%) (Fig. 6D). Proteins with no notable implication in these antifungal effects were grouped as “housekeeping proteins” for the purpose of this study. Taken together, these findings define core and unique proteome signatures across the extracts with putative roles driving the phenotypic observations against cryptococcal virulence determinants.
Extract fraction profiling provided mechanistic insight into inhibitory effects on capsule production
Based on the significant inhibitory effects observed in capsule production using the clarified extracts of D. polymorpha, we further fractionated this extract using FPLC (Fig. 7A). To identify the active fraction behind these effects, we reassessed the inhibitory activity of the resulting fractions against the capsule production using C. neoformans H99 WT (Fig. 7B). Here, we observed that fractions 6, 18, and 22 had significant inhibitory effects on capsule production, with fraction 18 displaying the most considerable inhibition. Furthermore, we performed proteomic profiling on fraction 18 to identify potential active molecules (Fig. 7C). This profiling revealed the presence of 243 proteins that were prioritized by molecular weight (5–50 kDa), sequence coverage (higher than 10%), and MS-MS count (at least 2) to 115 proteins. From these 115 candidates, 15 were selected as potential active molecules based on assigned GOMF. Here, we detected four calmodulin-like proteins (25%), one endoglucanase (6.25%), and one cysteine-like peptidase inhibitor (6.25%) among other proteins (Table S4).
Fig 7.

Identification of candidates from the clarified extract of D. polymorpha with effects on capsule production in C. neoformans H99. (A) Chromatogram of the size exclusion chromatography using clarified extracts of D. polymorpha. (B) Effect of fractions in capsule production normalized and compared to a non-treated sample. (C) Pie charts show the distribution of proteins identified in fraction 18 based on Gene Ontology Molecular Function (GOMF). Proteomics data were analyzed with MaxQuant. Experiments were performed in a biological quadruplicate. (D): Effect of E-64 in the capsule production in C. neoformans. Error bars indicate standard deviation. Statistical analysis was performed using a one-way ANOVA and Dunnett’s multiple comparison tests with a P value of 0.05. ****: P < 0.0001. Approx. 50–60 cells were measured per treatment. Experiments were performed in biological triplicate and technical duplicate. The figures were created using GraphPad Prism 9.
Finally, given that C. neoformans capsule production is associated with a cysteine-like peptidase, CNAG_05601 (35), we selected the identified cysteine-like peptidase inhibitor from fraction 18 as a proof-of-concept to validate our findings. Here, we assessed the effect of purified E-64, a general cysteine peptidase inhibitor, against C. neoformans capsule production. We observed a significant reduction in capsule to cell size ratio upon treatment (Fig. 7D).
DISCUSSION
Mussels filter bacteria, protozoans, algae, and other organic matter out of the water with food particles carried to the mouth by tiny hairlike cilia located on the gills (63). Material not taken into the digestive tract is released in the mantle cavity to be periodically expelled through the inhalant aperture (64, 65). To deal with potential pathogens, invertebrates, such as mussels, do not possess an adaptative immune system but instead rely on a potent innate immune system and a vast array of antibiotic compounds selectively adapted for defense without adversely affecting the host cells (66–68). These inherent protective strategies of invertebrates present a unique opportunity to leverage the intelligent design of natural sources and explore putative antimicrobial properties. In this study, we investigated the putative therapeutic properties of compounds derived from mussels toward inhibition of virulence factors produced by the human pathogen C. neoformans, and we defined and validated core and unique proteome signatures that drive such beneficial properties. We identified and confirmed the role of a cysteine-like peptidase inhibitor in the reduction of C. neoformans capsule production. We acknowledge that while additional low molecular weight molecules may also be implicated in these findings, they were not the focus of this investigation but present ample research opportunities in the future.
Inhibition of growth and thermotolerance
One of the first lines of defense employed by humans against pathogens is a relatively high internal temperature. To succeed, human pathogens, including C. neoformans, have developed thermotolerance mechanisms to survive in this environment and advance through infection. An important temperature-sensing signaling cascade includes the action of calcineurins, a Ca2+-dependent serine/threonine phosphatase, required not only for growth inside the host but also for virulence and mating within the environment (69). In this paper, we observed a significant inhibition of fungal growth at 37°C following treatment with each extract. Furthermore, extracts of D. polymorpha did not have a significant effect on the growth of C. neoformans at 30°C, indicating the presence of molecules with specific effects on thermotolerance mechanisms rather than fungal growth. On the other hand, extracts from L. costata had similar effects at both temperatures, suggesting putative inhibitory mechanisms on general growth-related processes. We identified five calmodulin-like proteins commonly produced by the extracts using bottom-up mass spectrometry-based proteomics. These proteins may compete for intracellular Ca2+ and, thus, impair the thermotolerance role of calcineurin in C. neoformans. Inhibition of these enzymes has been widely employed by drugs like cyclosporin, a natural compound used to immunosuppress and treat multiple human diseases (70, 71). Very recently, cyclosporin was found to have various effects on virulence and cell morphology in C. neoformans, including the cell wall and the polysaccharide capsule (11).
Impact on polysaccharide capsule production
Cryptococcal capsule, with roles in virulence, immune system evasion, and low resemblance to extracellular macromolecules in mammalian cells, constitutes one of the most attractive anti-virulence targets of this pathogen (9). The polysaccharide capsule is in the outer layer of the extracellular region of C. neoformans, and is attached to the cell wall, making it susceptible to changes in the cell wall composition or morphology (54, 55). In this study, we observed a significant reduction in capsule production using extracts of D. polymorpha but not L. costata. Proteomic analysis revealed 316 unique proteins in D. polymorpha samples with potential implications in the capsule inhibitory effect. For instance, a chitin deacetylase was identified, which converts chitin into chitosan, affecting the morphology of this polymer (72). Although this effect was not enough to impair C. neoformans ability to tolerate osmotic stress, it may impact cell wall morphology, which is essential for capsule formation (73, 74). Similarly, calcineurins are calcium-binding proteins involved in capsule production, and their inhibition is known to cause cell wall impairment (11). Here, we also observed seven calcium-binding proteins that may impact the role of calcineurin and, eventually, capsule production (8).
Using enzymatic approaches, we also detected the presence of strong papain-like (C1 cysteine-type) proteolytic activity inhibition in clarified extracts of D. polymorpha. Notably, Rim13 (CNAG_05601), an intracellular cysteine peptidase, participates in the activation of Rim101, a transcriptional factor with multiple functions, including the formation of the cell wall and, thus, polysaccharide capsule (35). During a previous study, we also detected cysteine protease inhibitors from invertebrates with potential roles in capsule inhibition in C. neoformans (29). The present study confirmed a connection between cysteine peptidase inhibition and capsule reduction in C. neoformans. Another potential mechanism of capsule inhibition identified through our fraction profiling was an endoglucanase-like enzyme from clarified extracts of D. polymorpha. Endoglucanases are low-specificity enzymes that digest large polysaccharides and may affect the stability of the cell wall (composed primarily by β−1,6-glucans) in C. neoformans and, thus, the capsule attachment (75, 76). Future studies may focus on fungicidal effects using endoglucanases, as previously reported (77). Notably, we could not measure the inhibitory activity of crude extracts from D. polymorpha against papain-like enzymes due to intrinsic proteolytic activity. Conversely, the absence of papain-like enzymes in the clarified extract highlights the success of our attempt to discard high molecular weight proteins (e.g., peptidases) through thermal clarification.
Inhibition of biofilm formation
One of the evasion mechanisms used by bacterial and fungal human pathogens to avoid the immune system is the formation of biofilms (78). This highly compacted structure also increases antibiotic resistance through a reduction in drug access to the intracellular space, which supports the evolution of cells able to withstand antimicrobial treatment (17). To form a dense biofilm community, C. neoformans produces and secretes multiple proteins (e.g., aminotransferases and aspartic proteases) and carbohydrates (e.g., glucose, xylose, and mannose) to develop a complex extracellular matrix that promotes adhesion (79, 80). In this study, we observed variable inhibitory effects on biofilm formation by C. neoformans across the mussel extracts. We acknowledge the limitations of our approach, including that inhibition of biofilm formation may be associated with inhibition of fungal growth. However, for the crude C. polymorpha extract, we observed a significant reduction in biofilm formation at the lowest tested concentration (i.e., 6 µg/mL), whereas we did not observe a significant reduction in fungal growth (i.e., 28 µg/mL). We observed similar patterns of inhibition for L. costata gill and mantle. These findings suggest that factors aside from the inhibition of fungal growth are influencing inhibition of biofilm formation upon extract treatment. Our proteomics profiling identified β-catenin binding proteins, which are involved in cadherin interaction with the cytoskeleton and cell-cell adhesion mechanisms in animal cells (81). In yeasts, such as Candida albicans, cadherin-like proteins (i.e., agglutinin-like proteins) are essential for biofilm formation (82). The presence of β-catenin binding in these mussels may impact biofilm formation by inhibiting cadherin-like proteins and cell-cell interaction mechanisms.
As stated above, biofilms are condensed structures that diminish the efficacy of antifungal drugs, turning their disruption into a desirable but hard-to-find activity in new treatments (17). In this context, aspartic peptidases are important for establishing fungal biofilms and inhibiting such enzymes can make biofilms more susceptible to antifungal agents in C. albicans (20). Notably, C. neoformans forms biofilms and secretes an aspartic peptidase (CNAG_5872) that is crucial to its survival inside macrophages to escape the immune action (83). Here, we detected the presence of pepsin-like (A1 aspartic type) peptidase inhibitors in the extracts that could explain the effects on biofilm and macrophage clearance. Aspartic inhibitors could be a crucial discovery not only to modulate cryptococcal biofilms but also to treat the deadly combination with HIV, an aspect that has been explored by other researchers but encourages further study (83, 84).
Reduction of macrophage burden
Once C. neoformans enters the lungs, the fungus faces primary lines of defense, including alveolar macrophages; however, C. neoformans can resist macrophage immune actions (52), such as high acidic conditions inside the phagolysosome (85). In this context, C. neoformans can form biofilms, produce polysaccharide capsule, and secrete acid peptidases (83, 86) as protective mechanisms. Here, we observed that all mussel extracts significantly reduced the survival of C. neoformans inside these immune cells; only extracts from the gill of L. costata produced a significant increase in macrophage cell death compared to the control. Although the difference in cell death was statistically significant, the increment was not high (from 4% to 6%). Using the same concentration, extracts from the gill of L. costata killed 2% of viable macrophage cells but 50% of cryptococcal cells. This suggests this extract possesses an approximate therapeutic index (TI) (ratio between the dose required for efficacy vs. toxicology) of 25. While there is no defined threshold for selection of new drugs, and it is a complex parameter with multiple factors to consider, the difference in TI and lack of new antifungal treatments against C. neoformans stress the importance of further characterization of these extracts (87).
Given these in vitro phenotypic observations, crude extracts from D. polymorpha likely reduced fungal burden through inhibitory effects on thermotolerance and capsule production. On the other hand, clarified extracts from D. polymorpha, with an enhanced burden reduction, affected cryptococcal survival by impairing biofilm formation and the inhibition of extracellular aspartic peptidases, such as May1 (CNAG_05872). Similarly, extracts from L. costata affected cryptococcal survival inside macrophages. The capacity of these mussel extracts to disrupt C. neoformans defenses against the immune system highlights D. polymorpha and L. costata as promising sources of antifungal compounds to use as a treatment for cryptococcal and similar fungal infections.
Effects on fluconazole susceptibility
With more than $1B US in annual sales, fluconazole is one of the most prescribed drugs against human fungal pathogens, including C. neoformans and C. albicans (88, 89). However, the emergence of resistant strains with higher tolerance to this drug is a serious threat to current treatments, especially in less-developed countries. Our proteomics profiling detected four calcium-binding proteins that may impair secretory mechanisms used by C. neoformans to form extracellular structures, such as the capsule or the cell wall, and potentially impacting drug resistance (11, 90). Another possible mechanism may be membrane destabilization by extracts from the L. costata mantle, which can also affect the permeabilization of the cell wall and capsule (90).
Interestingly, we observed a significant reduction of macrophage burden in the fluconazole-resistant CL strain when crude extracts of D. polymorpha and the mantle of L. costata were combined with fluconazole. However, we did not observe a similar pattern when these two extracts acted on the fungal cells alone. These data suggest that resistance mechanisms to fluconazole are influenced by the presence of macrophages where complex mechanisms of fungal clearance occur (91). Among the significantly abundant proteins in the crude extracts of D. polymorpha, we observed two chitin deacetylases and one endoglucanase that may affect the integrity of both the cell wall and the capsule, increasing accessibility of the fungus by fluconazole and, thus, enhancing the clearance mechanisms employed by macrophages (e.g., oxidative stress and defensins) (91). Similarly, extracts from the mantle of L. costata possess a unique Kazal-type serine peptidase inhibitor compared to the gill and foot. This inhibitor may affect the activity of a cell-associated serine peptidase, Pqp1, which is involved in quorum sensing mechanisms and formation of extracellular structures, such as cell wall and capsule, in C. neoformans (92).
Conclusion
With the emergence of antifungal-resistant strains, targeting virulence determinants represents a novel approach that could disarm human fungal pathogens, such as C. neoformans, with less selective pressure towards resistance. Mussels, like other invertebrates, represent promising sources of antifungal compounds against C. neoformans. In this study, we differentially extracted aqueous soluble compounds from two freshwater mussels, D. polymorpha and L. costata, and explored their potential anticryptococcal properties. Extracts from both mussels have significant inhibitory activity against the thermotolerance and biofilm formation in C. neoformans, possibly through inhibition of calcineurin-like enzymes or extracellular peptidases. Likewise, extracts from D. polymorpha impaired the formation of the polysaccharide capsule potentially through inhibition of cysteine peptidases involved in the Rim pathway. Furthermore, extracts from both mussel species impacted fluconazole susceptibility in a clinical strain exposed to macrophages, supporting increased susceptibility to fluconazole in combination with extracts and macrophages. By further understanding the mechanisms driving the antifungal activity of mussels, we may support the discovery and development of novel anti-virulence treatments against fungal disease.
ACKNOWLEDGMENTS
The authors thank members of the Geddes-McAlister lab for their informative and constructive feedback on project design and manuscript preparation and Matthew Quinn and Norris Chan (MSc) for technical assistance. The authors also thank Dr. Lewis Lukens (University of Guelph) for proteome assembly and Bioinformatics Solutions Inc. for measuring the mass spectrometry samples.
In support of this project, D.G.-G. is funded with an Ontario Graduate Scholarship and a fellow of the NSERC CREATE EvoFunPath program. J.G.-M. received funding from the University of Guelph, the Canadian Foundation for Innovation (CFI-JELF #38798), the Ontario Ministry of Colleges and Universities (Early Researcher Award), the Canada Research Chairs program, and the Canadian Institutes of Health Research (Project Grant).
D.G.-G. and J.G.-M. conceptualized and designed the study. D.G.-G. and R.S.P. collected mussels from Ontario, according to the Canadian Council on Animal Care. D.G.-G. and M.W. performed experiments and data analysis. D.G.-G. designed and developed figures and wrote the first draft of the manuscript. D.G.-G., M.W., R.S.P., and J.G.-M. wrote and edited the manuscript. All authors have read and approved the submitted manuscript.
Contributor Information
Jennifer Geddes-McAlister, Email: jgeddesm@uoguelph.ca.
Damian J. Krysan, The University of Iowa, Iowa City, Iowa, USA
DATA AVAILABILITY
The RAW and affiliated files were deposited into the publicly available PRIDE partner database for the ProteomeXchange consortium with the data set identifier: PXD043643.
SUPPLEMENTAL MATERIAL
The following material is available online at https://doi.org/10.1128/spectrum.02841-23.
Tables S1-S3; Figures S1-S4.
Proteins identified in fraction 18.
ASM does not own the copyrights to Supplemental Material that may be linked to, or accessed through, an article. The authors have granted ASM a non-exclusive, world-wide license to publish the Supplemental Material files. Please contact the corresponding author directly for reuse.
REFERENCES
- 1. Rajasingham R, Govender NP, Jordan A, Loyse A, Shroufi A, Denning DW, Meya DB, Chiller TM, Boulware DR. 2022. The global burden of HIV-associated cryptococcal infection in adults in 2020: a modelling analysis. Lancet Infect Dis 22:1748–1755. doi: 10.1016/S1473-3099(22)00499-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Gumasta R SM, Singh SM, Mishra RP, Nawange SR, Garg A, Rathore AS. 2019. Pigeon excreta: a potential source of Cryptococcus neoformans and their antifungal susceptibility profile. Int J Trend Sci Res Dev 3:233–238. doi: 10.31142/ijtsrd25250 [DOI] [Google Scholar]
- 3. Kamari A, Sepahvand A, Mohammadi R. 2017. Isolation and molecular characterization of Cryptococcus species isolated from pigeon nests and eucalyptus trees. Curr Med Mycol 3:20–25. doi: 10.29252/cmm.3.2.20 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Bermas A, Geddes-McAlister J. 2020. Combatting the evolution of antifungal resistance in Cryptococcus neoformans. Mol Microbiol 114:721–734. doi: 10.1111/mmi.14565 [DOI] [PubMed] [Google Scholar]
- 5. Toda M, Beer KD, Kuivila KM, Chiller TM, Jackson BR. 2021. Trends in agricultural triazole fungicide use in the United States, 1992–2016 and possible implications for antifungal-resistant fungi in human disease. Environ Health Perspect 129:55001. doi: 10.1289/EHP7484 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Bastos RW, Rossato L, Goldman GH, Santos DA. 2021. Fungicide effects on human fungal pathogens: cross-resistance to medical drugs and beyond. PLoS Pathog 17:e1010073. doi: 10.1371/journal.ppat.1010073 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Rhodes J, Abdolrasouli A, Dunne K, Sewell TR, Zhang Y, Ballard E, Brackin AP, van Rhijn N, Chown H, Tsitsopoulou A, et al. 2022. Population genomics confirms acquisition of drug-resistant Aspergillus fumigatus infection by humans from the environment. Nat Microbiol 7:663–674. doi: 10.1038/s41564-022-01091-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Woods M, McAlister JA, Geddes-McAlister J. 2023. A one health approach to overcoming fungal disease and antifungal resistance. WIREs Mech Dis 15:e1610. doi: 10.1002/wsbm.1610 [DOI] [PubMed] [Google Scholar]
- 9. Zaragoza O. 2019. Basic principles of the virulence of Cryptococcus. Virulence 10:490–501. doi: 10.1080/21505594.2019.1614383 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Jang E-H, Kim J-S, Yu S-R, Bahn Y-S. 2022. Unraveling capsule biosynthesis and signaling networks in Cryptococcus neoformans. Microbiol Spectr 10:e0286622. doi: 10.1128/spectrum.02866-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. de Andrade IB, Corrêa-Junior D, Alves V, Figueiredo-Carvalho MHG, Santos MV, Almeida MA, Valdez AF, Nimrichter L, Almeida-Paes R, Frases S. 2023. Cyclosporine affects the main virulence factors of Cryptococcus neoformans in vitro. J Fungi (Basel) 9:487. doi: 10.3390/jof9040487 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Khajo A, Bryan RA, Friedman M, Burger RM, Levitsky Y, Casadevall A, Magliozzo RS, Dadachova E. 2011. Protection of melanized Cryptococcus neoformans from lethal dose gamma irradiation involves changes in melanin’s chemical structure and paramagnetism. PLoS One 6:e25092. doi: 10.1371/journal.pone.0025092 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Almeida F, Wolf JM, Casadevall A. 2015. Virulence-associated enzymes of Cryptococcus neoformans. Eukaryot Cell 14:1173–1185. doi: 10.1128/EC.00103-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Gutierrez-Gongora D, Geddes-McAlister J, Gluck-Thaler E. 2022. Peptidases: promising antifungal targets of the human fungal pathogen, Cryptococcus neoformans. FACETS 7:319–342. doi: 10.1139/facets-2021-0157 [DOI] [Google Scholar]
- 15. Clarke SC, Dumesic PA, Homer CM, O’Donoghue AJ, La Greca F, Pallova L, Majer P, Madhani HD, Craik CS. 2016. Integrated activity and genetic profiling of secreted peptidases in Cryptococcus neoformans reveals an aspartyl peptidase required for low pH survival and virulence. PLoS Pathog 12:e1006051. doi: 10.1371/journal.ppat.1006051 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Yang DH, Jung KW, Bang S, Lee JW, Song MH, Floyd-Averette A, Festa RA, Ianiri G, Idnurm A, Thiele DJ, Heitman J, Bahn YS. 2017. Rewiring of signaling networks modulating thermotolerance in the human pathogen Cryptococcus neoformans. Genetics 205:201–219. doi: 10.1534/genetics.116.190595 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Sanglard D. 2002. Resistance of human fungal pathogens to antifungal drugs. Curr Opin Microbiol 5:379–385. doi: 10.1016/s1369-5274(02)00344-2 [DOI] [PubMed] [Google Scholar]
- 18. Wang W-J, Liu C-C, Li Y-T, Li M-Q, Fu Y-T, Li X-C, Qian W-D. 2022. Antifungal and antibiofilm in vitro activities of ursolic acid on Cryptococcus neoformans. Curr Microbiol 79:293. doi: 10.1007/s00284-022-02992-5 [DOI] [PubMed] [Google Scholar]
- 19. Geddes JMH, Caza M, Croll D, Stoynov NN, Foster LJ, Kronstad JW. 2016. Analysis of the protein kinase a-regulated proteome of Cryptococcus neoformans identifies a role for the ubiquitin-proteasome pathway in capsule formation. mBio 7:e01862–15. doi: 10.1128/mBio.01862-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Lohse MB, Gulati M, Craik CS, Johnson AD, Nobile CJ, Miranda IM. 2020. Combination of antifungal drugs and protease inhibitors prevent Candida albicans biofilm formation and disrupt mature biofilms. Front Microbiol 11:1027. doi: 10.3389/fmicb.2020.01027 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Zeng Q, Morales AJ, Cottarel G. 2001. Fungi and humans: closer than you think. Trends Genet 17:682–684. doi: 10.1016/s0168-9525(01)02498-2 [DOI] [PubMed] [Google Scholar]
- 22. Bondaryk M, Staniszewska M, Zielińska P, Urbańczyk-Lipkowska Z. 2017. Natural antimicrobial peptides as inspiration for design of a new generation antifungal compounds. J Fungi (Basel) 3:1–36. doi: 10.3390/jof3030046 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Abreu AC, McBain AJ, Simões M. 2012. Plants as sources of new antimicrobials and resistance-modifying agents. Nat Prod Rep 29:1007–1021. doi: 10.1039/c2np20035j [DOI] [PubMed] [Google Scholar]
- 24. Zhao Y-R, Xu Y-H, Jiang H-S, Xu S, Zhao X-F, Wang J-X. 2014. Antibacterial activity of serine protease inhibitor 1 from kuruma shrimp Marsupenaeus japonicus. Dev Comp Immunol 44:261–269. doi: 10.1016/j.dci.2014.01.002 [DOI] [PubMed] [Google Scholar]
- 25. Amparyup P, Donpudsa S, Tassanakajon A. 2008. Shrimp single WAP domain (SWD)-containing protein exhibits proteinase inhibitory and antimicrobial activities. Dev Comp Immunol 32:1497–1509. doi: 10.1016/j.dci.2008.06.005 [DOI] [PubMed] [Google Scholar]
- 26. Zhang X, Guo K, Dong Z, Chen Z, Zhu H, Zhang Y, Xia Q, Zhao P. 2020. Kunitz-type protease inhibitor BmSPI51 plays an antifungal role in the silkworm cocoon. Insect Biochem Mol Biol 116:103258. doi: 10.1016/j.ibmb.2019.103258 [DOI] [PubMed] [Google Scholar]
- 27. Lee T-G, Maruyama S. 1998. Isolation of HIV-1 protease-inhibiting peptides from thermolysin hydrolysate of oyster proteins. Biochem Biophys Res Commun 253:604–608. doi: 10.1006/bbrc.1998.9824 [DOI] [PubMed] [Google Scholar]
- 28. Gutierrez-Gongora D, Geddes-McAlister J. 2021. From naturally-sourced protease inhibitors to new treatments for fungal infections. J Fungi (Basel) 7:1–13. doi: 10.3390/jof7121016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Gutierrez-Gongora D, Raouf-Alkadhimi F, Prosser RS, Geddes-McAlister J. 2023. Differentiated extracts from freshwater and terrestrial mollusks inhibit virulence factor production in Cryptococcus neoformans. Sci Rep 13:4928. doi: 10.1038/s41598-023-32140-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Ball B, Langille M, Geddes-McAlister J. 2020. Fun(gi)OMICS: advanced and diverse technologies to explore emerging fungal pathogens. mBio 11:e01020–20. doi: 10.1128/mBio.01020-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Ball B, Bermas A, Carruthers-Lay D, Geddes-McAlister J. 2019. Mass spectrometry-based proteomics of fungal pathogenesis, host–fungal interactions, and antifungal development. J Fungi (Basel) 5:52. doi: 10.3390/jof5020052 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Gutierrez-Gongora D, Raouf-Alkadhimi F, Prosser RS, Geddes-McAlister J. 2022. Assessing the putative anticryptococcal properties of crude and clarified extracts from mollusks. J Vis Exp 190. doi: 10.3791/64540 [DOI] [PubMed] [Google Scholar]
- 33. Walker JM. The bicinchoninic acid (BCA) assay for protein quantitation, p 5–8. In Basic protein and peptide protocols. Humana Press, New Jersey. [DOI] [PubMed] [Google Scholar]
- 34. Hanada K, Tamai M, Yamagishi M, Ohmura S, Sawada J, Tanaka I. 1978. Isolation and characterization of E-64, a new thiol protease inhibitor. Agric Biol Chem 42:523–528. doi: 10.1080/00021369.1978.10863014 [DOI] [Google Scholar]
- 35. Ost KS, O’Meara TR, Huda N, Esher SK, Alspaugh JA. 2015. The Cryptococcus neoformans alkaline response pathway identification of a novel rim pathway activator. PLoS Genet 11:e1005159. doi: 10.1371/journal.pgen.1005159 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Brilhante RSN, España JDA, de Alencar LP, Pereira VS, Castelo-Branco D de SCM, Pereira-Neto W de A, Cordeiro R de A, Sidrim JJC, Rocha MFG. 2017. An alternative method for the analysis of melanin production in Cryptococcus neoformans sensu lato and Cryptococcus gattii sensu lato. Mycoses 60:697–702. doi: 10.1111/myc.12650 [DOI] [PubMed] [Google Scholar]
- 37. Mayer FL, Kronstad JW. 2017. Disarming fungal pathogens: Bacillus safensis inhibits virulence factor production and biofilm formation by Cryptococcus neoformans and Candida albicans. mBio 8:e01537–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Brink B. 2016. Urease test protocol. American society for Microbiology, p 1–10. American Society for Microbiology. [Google Scholar]
- 39. Christensen WB. 1946. Urea decomposition as a means of differentiating proteus and paracolon cultures from each other and from Salmonella and Shigella types. J Bacteriol 52:461–466. doi: 10.1128/jb.52.4.461-466.1946 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Parhamifar L, Andersen H, Moghimi SM. 2013. Lactate dehydrogenase assay for assessment of polycation cytotoxicity. Methods Mol Biol 948:13–22. doi: 10.1007/978-1-62703-140-0_2 [DOI] [PubMed] [Google Scholar]
- 41. Ball B, Geddes-McAlister J. 2019. Quantitative proteomic profiling of Cryptococcus neoformans. Curr Protoc Microbiol 55:1–15. doi: 10.1002/cpmc.94 [DOI] [PubMed] [Google Scholar]
- 42. Rappsilber J, Mann M, Ishihama Y. 2007. Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using StageTips. Nat Protoc 2:1896–1906. doi: 10.1038/nprot.2007.261 [DOI] [PubMed] [Google Scholar]
- 43. Cox J, Mann M. 2008. MaxQuant enables high peptide identification rates, individualized ppb-range mass accuracies and proteome-wide protein quantification. Nat Biotechnol 26:1367–1372. doi: 10.1038/nbt.1511 [DOI] [PubMed] [Google Scholar]
- 44. Cox J, Neuhauser N, Michalski A, Scheltema RA, Olsen JV, Mann M. 2011. Andromeda: a peptide search engine integrated into the MaxQuant environment. J Proteome Res 10:1794–1805. doi: 10.1021/pr101065j [DOI] [PubMed] [Google Scholar]
- 45. Uniprot: the universal protein knowledgebase in 2021. 2021. Nucleic Acids Res 49:D480–D489. doi: 10.1093/nar/gkaa1100 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Sayers EW, Bolton EE, Brister JR, Canese K, Chan J, Comeau DC, Connor R, Funk K, Kelly C, Kim S, Madej T, Marchler-Bauer A, Lanczycki C, Lathrop S, Lu Z, Thibaud-Nissen F, Murphy T, Phan L, Skripchenko Y, Tse T, Wang J, Williams R, Trawick BW, Pruitt KD, Sherry ST. 2022. Database resources of the national center for biotechnology information. Nucleic Acids Res 50:D20–D26. doi: 10.1093/nar/gkab1112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Cox J, Hein MY, Luber CA, Paron I, Nagaraj N, Mann M. 2014. Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ. Mol Cell Proteomics 13:2513–2526. doi: 10.1074/mcp.M113.031591 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Tyanova S, Temu T, Sinitcyn P, Carlson A, Hein MY, Geiger T, Mann M, Cox J. 2016. The perseus computational platform for comprehensive analysis of (prote)omics data. Nat Methods 13:731–740. doi: 10.1038/nmeth.3901 [DOI] [PubMed] [Google Scholar]
- 49. Benjamini Y, Hochberg Y. 1995. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B Methodol 57:289–300. doi: 10.1111/j.2517-6161.1995.tb02031.x [DOI] [Google Scholar]
- 50. Archibald LK, Tuohy MJ, Wilson DA, Nwanyanwu O, Kazembe PN, Tansuphasawadikul S, Eampokalap B, Chaovavanich A, Reller LB, Jarvis WR, Hall GS, Procop GW. 2004. Antifungal susceptibilities of Cryptococcus neoformans. Emerg Infect Dis 10:143–145. doi: 10.3201/eid1001.020779 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Chen S, Saeed AFUH, Liu Q, Jiang Q, Xu H, Xiao GG, Rao L, Duo Y. 2023. Macrophages in immunoregulation and therapeutics. Signal Transduct Target Ther 8:207. doi: 10.1038/s41392-023-01452-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Santiago-Tirado FH, Onken MD, Cooper JA, Klein RS, Doering TL, Casadevall A. 2017. Trojan horse transit contributes to blood-brain barrier crossing of a eukaryotic pathogen. mBio 8:e02183-16. doi: 10.1128/mBio.02183-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Sorgo AG, Heilmann CJ, Dekker HL, Bekker M, Brul S, de Koster CG, de Koning LJ, Klis FM. 2011. Effects of fluconazole on the secretome, the wall proteome, and wall integrity of the clinical fungus Candida albicans. Eukaryot Cell 10:1071–1081. doi: 10.1128/EC.05011-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Baltch AL, Smith RP, Franke MA, Ritz WJ, Michelsen PB, Bopp LH. 2001. Effects of cytokines and fluconazole on the activity of human monocytes against Candida albicans. Antimicrob Agents Chemother 45:96–104. doi: 10.1128/AAC.45.1.96-104.2001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Garcha UK, Brummer E, Stevens DA. 1995. Synergy of fluconazole with human monocytes or monocyte-derived macrophages for killing of Candida species. J Infect Dis 172:1620–1623. doi: 10.1093/infdis/172.6.1620 [DOI] [PubMed] [Google Scholar]
- 56. Vu K, Tham R, Uhrig JP, Thompson GR, Na Pombejra S, Jamklang M, Bautos JM, Gelli A. 2014. Invasion of the central nervous system by Cryptococcus neoformans requires a secreted fungal metalloprotease. mBio 5:e01101-14. doi: 10.1128/mBio.01101-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Olszewski MA, Noverr MC, Chen G-H, Toews GB, Cox GM, Perfect JR, Huffnagle GB. 2004. Urease expression by Cryptococcus neoformans promotes microvascular sequestration, thereby enhancing central nervous system invasion. Am J Pathol 164:1761–1771. doi: 10.1016/S0002-9440(10)63734-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Aaron PA, Vu K, Gelli A. 2020. An antivirulence approach for preventing Cryptococcus neoformans from crossing the blood-brain barrier via novel natural product inhibitors of a fungal metalloprotease. mBio 11:1–15. doi: 10.1128/mBio.01249-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Rawlings ND, Barrett AJ, Thomas PD, Huang X, Bateman A, Finn RD. 2018. The MEROPS database of proteolytic enzymes, their substrates and inhibitors in 2017 and a comparison with peptidases in the PANTHER database. Nucleic Acids Res 46:D624–D632. doi: 10.1093/nar/gkx1134 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Homer CM, Summers DK, Goranov AI, Clarke SC, Wiesner DL, Diedrich JK, Moresco JJ, Toffaletti D, Upadhya R, Caradonna I, Petnic S, Pessino V, Cuomo CA, Lodge JK, Perfect J, Yates JR, Nielsen K, Craik CS, Madhani HD. 2016. Intracellular action of a secreted peptide required for fungal virulence. Cell Host Microbe 19:849–864. doi: 10.1016/j.chom.2016.05.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Caza M, Kronstad JW. 2019. The cAMP / protein kinase A pathway regulates virulence and adaptation to host conditions in Cryptococcus neoformans. Front Cell Infect Microbiol 9:212. doi: 10.3389/fcimb.2019.00212 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62. Bien CM, Chang YC, Nes WD, Kwon-Chung KJ, Espenshade PJ. 2009. Cryptococcus neoformans site-2 protease is required for virulence and survival in the presence of azole drugs. Mol Microbiol 74:672–690. doi: 10.1111/j.1365-2958.2009.06895.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Sietman BE. 2003. Field guide to the freshwater mussels of Minnesota. Minnesota Department of Natural Resources St. Paul. [Google Scholar]
- 64. Thorp JH, Rogers DC. 2011. Mussels and clams: phylum mollusca class bivalvia, p 83–95. In Field guide to freshwater Invertebrates of North America [Google Scholar]
- 65. Wardlaw C, Prosser RS. 2020. Investigation of microplastics in freshwater mussels (Lasmigona costata) from the grand river watershed in Ontario, Canada. Water Air Soil Pollut 231. doi: 10.1007/s11270-020-04741-5 [DOI] [Google Scholar]
- 66. Iwanaga S, Lee B-L. 2005. Recent advances in the innate immunity of invertebrate animals. J Biochem Mol Biol 38:128–150. doi: 10.5483/bmbrep.2005.38.2.128 [DOI] [PubMed] [Google Scholar]
- 67. Hancock REW, Brown KL, Mookherjee N. 2006. Host defence peptides from invertebrates – emerging antimicrobial strategies. Immunobiology 211:315–322. doi: 10.1016/j.imbio.2005.10.017 [DOI] [PubMed] [Google Scholar]
- 68. Xue Q. 2019. Pathogen proteases and host protease inhibitors in molluscan infectious diseases. J Invertebr Pathol 166:107214. doi: 10.1016/j.jip.2019.107214 [DOI] [PubMed] [Google Scholar]
- 69. Cruz MC, Fox DS, Heitman J. 2001. Calcineurin is required for hyphal elongation during mating and haploid fruiting in Cryptococcus neoformans. EMBO J 20:1020–1032. doi: 10.1093/emboj/20.5.1020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. Liu J, Farmer JD, Lane WS, Friedman J, Weissman I, Schreiber SL. 1991. Calcineurin is a common target of cyclophilin-cyclosporin A and FKBP-FK506 complexes. Cell 66:807–815. doi: 10.1016/0092-8674(91)90124-h [DOI] [PubMed] [Google Scholar]
- 71. Laupacis A, Keown PA, Ulan RA, McKenzie N, Stiller CR. 1982. Cyclosporin A: a powerful immunosuppressant. Can Med Assoc J 126:1041–1046. [PMC free article] [PubMed] [Google Scholar]
- 72. Liu Z, Gay LM, Tuveng TR, Agger JW, Westereng B, Mathiesen G, Horn SJ, Vaaje-Kolstad G, van Aalten DMF, Eijsink VGH. 2017. Structure and function of a broad-specificity chitin deacetylase from Aspergillus nidulans FGSC A4. Sci Rep 7:1746. doi: 10.1038/s41598-017-02043-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73. Crawford CJ, Cordero RJB, Guazzelli L, Wear MP, Bowen A, Oscarson S, Casadevall A. 2020. Exploring Cryptococcus neoformans capsule structure and assembly with a hydroxylamine-armed fluorescent probe. J Biol Chem 295:4327–4340. doi: 10.1074/jbc.RA119.012251 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74. Rodrigues J, Ramos CL, Frases S, Godinho R da C, Fonseca FL, Rodrigues ML. 2018. Lack of chitin synthase genes impacts capsular architecture and cellular physiology in Cryptococcus neoformans. Cell Surf 2:14–23. doi: 10.1016/j.tcsw.2018.05.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75. Planas A. 2000. Bacterial 1,3-1,4-β-glucanases: structure, function and protein engineering. Biochim Biophys Acta Protein Struct Mol Enzymol 1543:361–382. doi: 10.1016/s0167-4838(00)00231-4 [DOI] [PubMed] [Google Scholar]
- 76. Mukaremera L. 2023. The Cryptococcus wall: a different wall for a unique lifestyle. PLoS Pathog 19:e1011141. doi: 10.1371/journal.ppat.1011141 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Natarajan C, Gupta V, Kumar K, Prasanna R. 2013. Molecular characterization of a fungicidal endoglucanase from the cyanobacterium Calothrix elenkinii. Biochem Genet 51:766–779. doi: 10.1007/s10528-013-9605-x [DOI] [PubMed] [Google Scholar]
- 78. Rabin N, Zheng Y, Opoku-Temeng C, Du Y, Bonsu E, Sintim HO. 2015. Biofilm formation mechanisms and targets for developing antibiofilm agents. Future Med Chem 7:493–512. doi: 10.4155/fmc.15.6 [DOI] [PubMed] [Google Scholar]
- 79. Santi L, Beys-da-Silva WO, Berger M, Calzolari D, Guimarães JA, Moresco JJ, Yates JR. 2014. Proteomic profile of Cryptococcus neoformans biofilm reveals changes in metabolic processes. J Proteome Res 13:1545–1559. doi: 10.1021/pr401075f [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80. Martinez LR, Casadevall A. 2007. Cryptococcus neoformans biofilm formation depends on surface support and carbon source and reduces fungal cell susceptibility to heat, cold, and UV light. Appl Environ Microbiol 73:4592–4601. doi: 10.1128/AEM.02506-06 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81. Fukunaga Y, Liu H, Shimizu M, Komiya S, Kawasuji M, Nagafuchi A. 2005. Defining the roles of β-catenin and plakoglobin in cell-cell adhesion: isolation of β-catenin/plakoglobin-deficient F9 cells. Cell Struct Funct 30:25–34. doi: 10.1247/csf.30.25 [DOI] [PubMed] [Google Scholar]
- 82. Nobile CJ, Andes DR, Nett JE, Smith FJ, Yue F, Phan Q-T, Edwards JE, Filler SG, Mitchell AP. 2006. Critical role of Bcr1-dependent adhesins in C. albicans biofilm formation in vitro and in vivo. PLoS Pathog 2:e63. doi: 10.1371/journal.ppat.0020063 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. Kryštůfek R, Šácha P, Starková J, Brynda J, Hradilek M, Tloušt’ová E, Grzymska J, Rut W, Boucher MJ, Drąg M, Majer P, Hájek M, Řezáčová P, Madhani HD, Craik CS, Konvalinka J. 2021. Re-emerging aspartic protease targets: examining Cryptococcus neoformans major aspartyl peptidase 1 as a target for antifungal drug discovery. J Med Chem 64:6706–6719. doi: 10.1021/acs.jmedchem.0c02177 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84. L.S. Santos A, A. Braga-Silva L. 2012. Aspartic protease inhibitors: effective drugs against the human fungal pathogen Candida albicans. Mini Rev Med Chem 13:155–162. [PubMed] [Google Scholar]
- 85. Kozel TR, Levitz SM, Nong S-H, Seetoo KF, Harrison TS, Speizer RA, Simons ER. 1999. Cryptococcus neoformans resides in an acidic phagolysosome of human macrophages . Infect Immun 67:885–890. doi: 10.1128/IAI.67.2.885-890.1999 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86. Aslanyan L, Sanchez DA, Valdebenito S, Eugenin EA, Ramos RL, Martinez LR. 2017. The crucial role of biofilms in Cryptococcus neoformans survival within macrophages and colonization of the central nervous system. J Fungi (Basel) 3:10. doi: 10.3390/jof3010010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87. Muller PY, Milton MN. 2012. The determination and interpretation of the therapeutic index in drug development. Nat Rev Drug Discov 11:751–761. doi: 10.1038/nrd3801 [DOI] [PubMed] [Google Scholar]
- 88. Kim JH, Cheng LW, Chan KL, Tam CC, Mahoney N, Friedman M, Shilman MM, Land KM. 2020. Antifungal drug repurposing. Antibiotics (Basel) 9:812. doi: 10.3390/antibiotics9110812 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89. Perez-Casas C, Chirac P, Berman D, Ford N. 2000. Access to fluconazole in less-developed countries. Lancet 356:2102. doi: 10.1016/S0140-6736(05)74314-2 [DOI] [PubMed] [Google Scholar]
- 90. Moreira-Walsh B, Ragsdale A, Lam W, Upadhya R, Xu E, Lodge JK, Donlin MJ, Andrew Alspaugh J. 2022. Membrane integrity contributes to resistance of Cryptococcus neoformans to the cell wall inhibitor caspofungin. mSphere 7:e0013422. doi: 10.1128/msphere.00134-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91. Kang JB, Larsen GL. 2008. Host defense systems of the lung. Pediatri Respirat Med:45–64. [Google Scholar]
- 92. Homer CM, Summers DK, Goranov AI, Clarke SC, Wiesner DL, Diedrich JK, Moresco JJ, Toffaletti D, Upadhya R, Caradonna I, Petnic S, Pessino V, Cuomo CA, Lodge JK, Perfect J, Yates JR 3rd, Nielsen K, Craik CS, Madhani HD. 2016. Intracellular action of a secreted peptide required for fungal virulence. Cell Host Microbe 19:849–864. doi: 10.1016/j.chom.2016.05.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Tables S1-S3; Figures S1-S4.
Proteins identified in fraction 18.
Data Availability Statement
The RAW and affiliated files were deposited into the publicly available PRIDE partner database for the ProteomeXchange consortium with the data set identifier: PXD043643.



