Abstract
We previously observed a substantial burden of cryptococcal meningitis in Vietnam atypically arising in individuals who are uninfected with human immunodeficiency virus (HIV). This disease was associated with a single genotype of Cryptococcus neoformans (sequence type [ST]5), which was significantly less common in HIV-infected individuals. Aiming to compare the phenotypic characteristics of ST5 and non-ST5 C. neoformans, we selected 30 representative Vietnamese isolates and compared their in vitro pathogenic potential and in vivo virulence. ST5 and non-ST5 organisms exhibited comparable characteristics with respect to in vitro virulence markers including melanin production, replication at 37°C, and growth in cerebrospinal fluid. However, the ST5 isolates had significantly increased variability in cellular and capsular sizing compared with non-ST5 organisms (P < .001). Counterintuitively, mice infected with ST5 isolates had significantly longer survival with lower fungal burdens at day 7 than non-ST5 isolates. Notably, ST5 isolates induced significantly greater initial inflammatory responses than non-ST5 strains, measured by TNF-α concentrations (P < .001). Despite being generally less virulent in the mouse model, we hypothesize that the significant within strain variation seen in ST5 isolates in the tested phenotypes may represent an evolutionary advantage enabling adaptation to novel niches including apparently immunocompetent human hosts.
Keywords: Cryptococcal meningitis, Cryptococcus neoformans, immunocompetent, HIV, virulence
Introduction
Cryptococcal meningitis (CM) is a life-threatening fungal infection caused principally by Cryptococcus neoformans and Cryptococcus gattii.1–3 Despite CM being more common in immunocompromised patients, CM can also arise in apparently immunocompetent patients. Recent figures estimate an annual global CM incidence of 223,100 cases in patients infected with human immunodeficiency virus (HIV), resulting in 181,100 deaths.4
Generally, C. gattii is the most common cause of CM in immunocompetent patients, while C. neoformans is primarily responsible for disease in immunocompromised patients.5 When CM associated with C. neoformans var. grubii occurs in HIV-uninfected individuals, reports often describe patients with an increased susceptibility due to other underlying immunosuppressive conditions.6,7 In Vietnam, C. neoformans var. grubii CM in HIV-uninfected patients accounts for approximately 20% of all CM cases admitted to our hospital in Ho Chi Minh City (HCMC).8 We previously reported that the majority of HIV-uninfected CM patients had no identified cause or other medical history suggestive of immunosuppression, and that >80% of HIV-uninfected CM patients were infected by a single genotype of C. neoformans var. grubii,9 which we later confirmed to be Sequence Type 5 (ST5).
Our clinical observations have been replicated in China, where >70% of CM cases from apparently immunocompetent individuals were infected with C. neoformans.10,11 Again, these organisms were later identified as genotype ST5.12,13 Comparably, ST5 accounted for >80% of HIV-uninfected CM patients in South Korea, although some patients from this location had potentially immunosuppressive conditions.14 This association between a ST and host immune phenotype could be explained by lineage-specific increases in pathogenic potential, fitness in the human host, an unidentified host immune deficit, or a combination of these three factors. Recent high-resolution genomic investigation of the population structure of clinical C. neoformans var. grubii isolates has verified that ST5 and ST4 are genetically distinct lineages of C. neoformans var. grubii, namely, VNIa-5 and VNIa-4, and that VNIa-5 is most frequently isolated from Asia, although it has been isolated from human clinical specimens in east and southern Africa, Europe, and the USA.15
Here, in order to explore the hypothesis that C. neoformans var. grubii ST5 have an increased pathogenic potential in comparison to non-ST5 organisms, we compared their in vitro virulence phenotypes and exploited an established cryptococcosis mouse model to compare their relative pathogenicity and ability to induce systemic inflammation.
Methods
C. neoformans isolates and culture conditions
We used clinical isolates obtained at the point of diagnosis, prior to antifungal therapy, from the cerebrospinal fluid (CSF) of patients enrolled in a prospective descriptive study of HIV-uninfected patients with central nervous system (CNS) infections, and a randomized controlled trial of antifungal therapy in HIV-infected patients.8,16 We randomly selected 15 isolates from HIV-uninfected CM patients and 15 from HIV-infected CM patients. MLST profiles (CAP59, GPD1, IGS1, LAC1, PLB1, SOD1, URA5) for all isolates were previously determined.17C. neoformans yeasts were propagated using yeast peptone dextrose (YPD) broth and incubated overnight at 30°C with agitation. Isolates and clinical information from corresponding patients are summarized in Table 1.
Table 1.
Isolate data | Patient data | ||||
---|---|---|---|---|---|
Order | Strain name | WGS cluster | MLST sequence type | Underlying Disease | Sex |
1 | BK14 | VNIa-4 | 4 | HIV | M |
2 | BK163 | VNIa-4 | 4 | HIV | M |
4 | BK225 | VNIa-4 | 4 | HIV | M |
6 | BK48 | VNIa-4 | 4 | HIV | M |
7 | BK59 | VNIa-4 | 4 | HIV | F |
8 | BK69 | VNIa-4 | 4 | HIV | M |
9 | BK74 | VNIa-4 | 4 | HIV | M |
10 | BK80* | VNIa-4 | 4 | HIV | M |
11 | BK87 | VNIa-4 | 4 | HIV | M |
12 | BK88 | VNIa-4 | 4 | HIV | M |
13 | BK89 | VNIa-4 | 4 | HIV | M |
15 | BMD1415* | VNIa-4 | 4 | Lupus | M |
3 | BK218 | VNIa-4 | 6 | HIV | M |
5 | BK234 | VNIa-4 | 6 | HIV | F |
14 | BMD1367* | VNIa-4 | 306 | Gastric cancer | F |
16 | BK147* | VNIa-5 | 5 | HIV | M |
17 | BK44* | VNIa-5 | 5 | HIV | M |
18 | BMD101 | VNIa-5 | 5 | None known | M |
19 | BMD1228 | VNIa-5 | 5 | None known | F |
20 | BMD1291 | VNIa-5 | 5 | None known | F |
21 | BMD1338* | VNIa-5 | 5 | None known | M |
22 | BMD1353 | VNIa-5 | 5 | None known | M |
23 | BMD1452 | VNIa-5 | 5 | None known | F |
24 | BMD1646* | VNIa-5 | 5 | None known | M |
25 | BMD1716 | VNIa-5 | 5 | None known | F |
26 | BMD367 | VNIa-5 | 5 | None known | M |
27 | BMD673 | VNIa-5 | 5 | None known | F |
28 | BMD700* | VNIa-5 | 5 | None known | M |
29 | BMD854 | VNIa-5 | 5 | None known | F |
30 | BMD899 | VNIa-5 | 5 | None known | F |
WGS = whole genome sequencing.
MLST = multi locus sequence typing.
M = Male, F = Female.
* Indicates isolates selected for mouse experiment.
Growth at human host temperature, in ex vivo human CSF and melanin production
Growth at 37°C and in ex vivo human CSF were tested as previously described18 with modifications for quantitative assessment. To assess fungal growth at different temperatures, the inoculum was adjusted to 108 cells/ml, serially diluted and spot-inoculated in duplicate on YPD agar in 5 µl aliquots and incubated at 30°C or 37°C for 48 hours. After 48 hours, colony-forming units (cfu were counted and recorded in cfu/ml).
For the ex vivo CSF growth assay, baseline preantifungal treatment CSF supernatant from random de-identified HIV-infected patients enrolled into an antifungal therapy trial was pooled, filtered, and stored at -80°C until use. 10 µl of 108 cells/ml yeast suspension was inoculated into 90 µl of pooled CSF and incubated at 37°C with 5%CO2. Inoculated CSF was serially diluted and spotted on YPD agar at days 1 and 3 postinoculation. All experiments were repeated in triplicate. The H99-derived mutant Δena1, which lacks a cation-ATPase-transporter resulting in decreased viability in human CSF and macrophages, was used as a negative control for the ex vivo CSF assay.19 H99 was included as a reference in all experiments. Data were standardized by expressing the results as a ratio of the cfu/ml of the test isolate to the cfu/ml of H99. Melanin production was assessed by plating 5 μl of 106cells/ml cell suspension on L-DOPA agar containing 1 g/l L-asparagine, 1 g/l glucose, 3 g/l KH2PO4, 250 mg/l MgSO4.7H2O, 1 mg/l Thiamine HCl, 5 μg/l Biotin, 100 mg/l L-DOPA, 20 g/l Bacto Agar.20,21 Plates were incubated in the dark at 30°C or 37°C for 3 days. Differences in colony melanization were compared visually with reference to H99 and an H99-derived mutant with diminished melaninization in L-DOPA agar from the Perfect lab.
Extracellular urease and phospholipase activity
Extracellular urease production was semiquantified using Christensen's agar. And 10 μl of 108 cells/ml yeast suspension was spotted on Christensen's agar and incubated at room temperature. The time to complete plate coloration was determined using a GoPro Hero 6 camera (Gopro, San Mateo, CA, USA) using the time-lapse setting set with a 1-minute interval. C. neoformans H99 was used as a positive control and Candida albicans as a negative control. Extracellular phospholipase activity was screened on egg yolk medium as previously described, with minor modifications.22 The egg yolk medium contained Sabouraud agar with 1 M sodium chloride, 0.005 M calcium chloride and 8% sterile egg yolk enrichment (Merck, USA). A 5 µl aliquot of C. neoformans yeast suspension (108 cells/ml) was spotted on egg yolk agar and incubated at 30°C for 72 hours. The diameters of the precipitation zone (D) formed around the colonies and of the respective colonies (d) were recorded after 72 hours incubation. The D/d ratio for each isolate was calculated. H99 was included for reference in each experimental batch. The final result for each isolate was expressed as the ratio between the test isolate's D/d ratio and that of H99. All isolates were tested in triplicate for each phenotype.
In vitro capsule and cell size measurement
To measure in vitro cryptococcal capsule thickness, all isolates were streaked onto capsule-inducing agar containing powdered Dulbecco Modified Eagle Medium (DMEM) (supplemented with 4.5 g/l glucose, L-glutamine, sodium pyruvate), NaHCO3 250 mM, NaMOPS 1 M, Neomycin 200 mg/ml, Cefotaxime 100 mg/ml.23 Plates were incubated at 37°C in 5% CO2 until single colonies were visible. Unless otherwise specified, all reagents were purchased from Sigma-Aldrich. India ink smears from a single yeast colony were prepared on a glass slide and visualized at 100× magnification using a CX41 microscope (Olympus, Shinjuku, Japan). Images of single microscopic yeast cells were captured using a DP71 Camera system with DP Controller software (Olympus, Japan) and processed using ImageJ (rsb.info.nih.gov/ij/). Capsular thickness was calculated by subtracting yeast cell body diameter (DCD, no capsule) from whole cell diameter (DWC, including capsule). At least 30 individual microscopic yeast cells were assessed for each isolate.
Mouse inhalation infection model of cryptococcosis
All mouse infection experiments were conducted as previously described according to Duke University's Institutional Animal Care and Use Committee guidelines and approvals.24 Six-week-old female A/J mice were sedated with isoflurane and inoculated intranasally with the selected C. neoformans var. grubii isolate by dropping 25 µl of yeast suspension containing 5 × 104 cells into the nares. Eight isolates were randomly selected from the 30 for murine experiments. The isolates were five ST5 (BK147 and BK44 from HIV-infected patients and BMD700, BMD1338, and BMD1646 from HIV-uninfected patients) and three non-ST5 strains (BMD1415 (ST4) and BMD1367 (ST306) from HIV-uninfected patients and BK80 (ST4) from an HIV-infected patient). Animals were monitored daily and euthanized by CO2 inhalation at indicated time points (fungal burden and in vivo responses) or until weight loss ≥15% body weight was observed (virulence assay).
Determining in vivo fungal burden
Five mice were infected with each isolate in two independent experiments for assessment of fungal burden at 7- or 14-days postinfection. All animals in each experiment set were euthanized by CO2 inhalation either on day 7 or day 14 postinfection. Fungal burden at each time point was assessed by excising the left superior lobe of the lung and brain and homogenizing the tissue by bead beating. Tissue homogenate was serially diluted and plated onto YPD agar supplemented with 100 mg/ml ampicillin. The plates were incubated at 30°C for 48 hours, and the number of C. neoformans cfu were recorded. Fungal burdens were expressed as cfu per gram of tissue (cfu/g). At each time point, additional lung lobes were also collected for determining in vivo histopathology and cytokine response, as described below. In addition, fungal burdens were separately determined at the point of death in animals from the survival assays described below.
Determining in vivo histopathology
At specific time points (7 or 14 days postinfection, as described above), the right superior lung lobe from each mouse was excised and immersed in 10% formalin (replaced with 70% ethanol after 24 hours) for fixation. Fixed, uninflated lung specimens were stored at 4°C until further processing. After paraffin embedding, sliced sections were stained using the periodic acid-Schiff (PAS) or mucicarmine stains. Histopathological examination was performed by an independent pathologist blinded to infecting strain. Tissue damage was scored from 0 (no changes) to 10 (severe changes), corresponding to the severity of pathology in four different categories: necrosis, hemorrhage, edema, and inflammation, as per the Duke Veterinary Diagnostic Laboratory (Division of Laboratory Animal Resources).
Determining in vivo cytokine response
To assess the severity of the inflammatory responses at specific time points (day 7 and day 14 postinfection), the middle lobe from the right lung of each infected mouse was excised and homogenized by bead beating in 1 ml sterile PBS/Protease inhibitor. 500 µl of lung homogenate was used for cytokine profiling. Cytokines representing T-helper type 1 (Th1) (interleukin [IL]-12p70, tumor necrosis factor [TNF]-α, interferon [IFN]-γ), T-helper type 17 (IL-17), and T-helper type 2 (Th2) (IL-4, IL-5, IL-10) responses were measured using a customized Bio-Plex Pro™ Mouse Cytokine Th1/Th2 Assay kit (Biorad, San Francisco, CA, USA) with the BioPlex 200 platform according to the manufacturer's guidelines. Data were retrieved using BioPlex Manager Software. The upper and lower limits of quantification (ULOQ and LLOQ) were based on a standard curve. All values falling below the LLOQ were replaced with the midpoint between zero and the LLOQ. Data were standardized by lung weight and presented as picogram of cytokines per gram lung tissue (pg/g).
In vivo virulence assay
The virulence assay was conducted independently from the day 7/day 14 experiment. Each of the eight selected isolates was inoculated intranasally into 10 A/J mice. Mice were monitored daily until death, or loss of more than 15% body weight (impending death), at which point they were euthanized by CO2 inhalation, necropsied and had fungal burden in lung and brain determined.
Statistical analysis
GraphPad Prism version 5.04 for Windows (GraphPad Software, San Diego, CA, USA; www.graphpad.com) was used for data visualization and statistical analyses of fungal loads, cytokine profiling, capsular/cell size, and survival proportions. The Mann-Whitney U-test was used for comparing fungal load and cytokine concentrations. Kaplan-Meier survival curves and the log-rank test were used for survival analysis. Capsule/cell size was compared using Welch's t test. The Fligner-Killeen test of variance homogeneity for analyzing variation in capsule/cell size and Fisher exact test were performed using R software, version 3.2.4 (http://www.r-project.org). One-way analysis of variance (ANOVA) with post hoc multiple comparison tests (Dunnett or Bonferroni) was used to compare cytokine concentrations between individual isolates.
Results
C. neoformans in vitro virulence
We compared the capsule size, extracellular urease, phospholipase production, melanin production, growth at 37°C, and growth in pooled human CSF between the 15 ST5 and the 15 non-ST5 C. neoformans isolates. We observed no significant genotype-specific differences between growth at 30°C (P = .10), growth at 37°C (P = .23), ex vivo survival in CSF after 1 day (P = .72), ex vivo survival in CSF after 3 days of exposure (P = .77), extracellular urease activity, or phospholipase activity (Fig. S1). ST5 C. neoformans cells developed significantly thicker capsules during in vitro culture than non-ST5 isolates (Table 2). Individual ST5 C. neoformans cells were also significantly larger than non-ST5 cells (Fig. 1), and we observed significantly greater variation in capsule size and cell diameter within ST5 cells than non-ST5 cells (Fig. 1; P < .0001, Fligner-Killeen test). Notably, a single organism (BMD1646), was clearly larger and with thicker capsules than other isolates. However, the difference in capsule thickness and cell diameter between STs remained statistically significant even when this isolate was removed from analysis.
Table 2.
MLST group | ||
---|---|---|
Variable | ST5 | Non-ST5 |
Capsule Thickness (μm) | ||
Mean* | 2.64 | 2.01 |
95% CI | 2.49–2.79 | 1.94–2.07 |
Range | 0.01–9.56 | 0.02–6.16 |
Coefficient of Variation$ (%) | 0.63 | 0.37 |
Cell diameter (μm) | ||
Mean* | 11.38 | 9.69 |
95% CI of Mean | 10.96–11.79 | 9.52–9.87 |
Range | 4.74–27.22 | 5.25–19.89 |
Coefficient of Variation$ (%) | 0.41 | 0.20 |
*P < .0001, t-test with Welch's correction.
P < .0001, Fligner-Killeen test of homogeneity of variance.
In vivo mouse infections with ST5 and non-ST5 isolates
We hypothesized that a higher prevalence of ST5 infections in apparently healthy hosts was associated with higher virulence. Therefore, we challenged A/J with equivalent doses of representative isolates (five ST5 and three non-ST5; the individual in vitro virulence phenotyping results for these eight isolates are presented in supplementary Figures S2–S4). Contrary to our hypothesis, we found that mice infected with ST5 organisms had significantly longer survival times than mice infected with non-ST5 organisms (P < .0001, Fig. 2A). However, there was significant variability in the effect of individual organisms of the same ST on survival (Fig. 2B). Specifically, two ST5 organisms (BK147 and BMD1646) were substantially attenuated in comparison to other ST5 organisms; the mice infected with these organisms survived up to 40 days. However, differences in survival times between mice infected with ST5 and non-ST5 organisms remained significant when these two isolates were removed from the analysis (P = .003; log-rank test).
The tissue-specific fungal burden data are shown in Table 3. All organisms established lung infection and disseminated brain infection as early as 7 days postinfection. Non-ST5 infections resulted in higher fungal burdens in lung than ST5 infections at all time-points (day 7, P < .001; day 14, P < .0001; and end of the experiment, P < .0001 (Fig. 3). Again, these data were not driven by the two apparently attenuated ST5 isolates as the fungal loads associated with the ST5 infections were significantly lower even when excluded from the analysis. The majority of animals infected with the attenuated ST5 organisms (BMD1646 [4/5 mice] and BK147 [5/5 mice]) had low fungal burdens in the lungs up to day 14 (Fig. 3). Fungal burdens in the brain were higher in non-ST5 infected animals at all time points; however, this difference was only statistically significant at the end of the experiment (P = .054, P = .36, and P = .01; Mann-Whitney test at days 7, 14, and point of impending death (time when 15% body weight loss is observed).
Table 3.
Fungal burden (Mean log10 colony forming units per gram of tissue) [95%CI] | |||
---|---|---|---|
Tissue | ST5 | Non-ST5 | P value |
Lung (Day 7) | 4.96 [3.86–6.05] | 7.07 [6.85–7.29]* | <.001 |
Brain (Day 7) | 0.81 [0.38–1.24] | 1.59 [0.87–2.30] | .054 |
Lung (Day 14) | 5.48 [4.34–6.62] | 8.00 [7.77–8.23]* | <.0001 |
Brain (Day 14) | 1.56 [0.81–2.31] | 1.91 [1.12–2.69] | .36 |
Lung (Death) | 3.81 [3.05–4.57] | 6.53 [6.30–6.76]* | <.0001 |
Brain (Death) | 2.90 [2.23– 3.56] | 4.29 [3.90–4.68]* | .01 |
*Mann-Whitney test.
ST5 C. neoformans isolates induce of TNF-α in the lungs of infected mice
We next measured the cytokine concentrations in lung homogenates at days 7 and 14 postinfection (Fig. 4). The concentrations of TNF-α were significantly higher in lung homogenates from mice infected with ST5 than non-ST5 infections (P = .01). Of note, the highest day 7 lung TNF-α concentrations were associated with the ST5 organisms that were most attenuated in the mouse survival model (BK147 and BMD1646). Correspondingly, the lowest TNF-α concentrations were measured in the most virulent ST5 isolate in the mouse model (BMD1338).
By day 14, the mean TNF-α concentrations in lung homogenates associated with the ST5 infections had declined from 3933.71 pg/g lung to 2802.36 pg/g lung (P < .001). Other Th-1 cytokines (IL-12 and IFN-γ), and IL-17, also decreased in ST5-infected mice between days 7 and 14 (P < .001, P < .01, and P = .02, respectively). This contrasted with the non-ST5 infections, in which the mean TNF-α levels had increased from 3256.25 pg/g to 6378.76 pg/g (P = .02) over this same period. The high TNF-α concentration associated with non-ST5 infections at day 14 was driven by a single isolate - BMD1415. The TNF-α concentrations in lung homogenates from mice infected with this isolate were significantly higher than for infections with any other isolate of any lineage (P < .001). There were no statistically significant differences in TNF-α concentrations at day 14 between lineages when this isolate was excluded from the analysis. Similarly, the concentrations of these two cytokines in BMD1415-infected mice was significantly higher than in mice infected with any other isolate (P < .001). However, the IL-12 concentrations declined in non-ST5-infected mice, including BMD1415, between days 7 and 14 (4 fold decrease, P < .0001) (Fig. 5).
We measured the TNF-α:IL-10 ratio as a proxy for the relationship between a Th-1 and a Th-2 response.25 From day 7 to day 14 days postinfection, the TNF-α:IL-10 ratio decreased by a factor of 0.78 in mice infected with ST5 isolates, while those infected with non-ST5 strains exhibited an increase in the ratio of 1.25-fold. However, when BMD1415 (ST4) was excluded from the analysis the TNF-α/IL-10 ratio in non-ST5 infected mice decreased by a factor of 0.67. By day 14 we detected elevated concentrations of IL-17 and IFN-γ in non-ST5 infected mice (5-fold and 17-fold increments, respectively; Table 4) but not in ST5 infected mice. Again, this effect was largely associated with BMD1415, since the concentrations of IL-17 and IFN-γ induced by this isolate at day 14 were significantly higher than for all others (P < .001).
Table 4.
Mean cytokine concentration (pg per gram of lung tissue) [95%CI] | ||||
Cytokine | ST5 | Non-ST5 | *P value (ST5 vs non-ST5) | |
Day 7 | ||||
Th-1 | IL-12 | 853.12 | 822.87 | .30 |
[750.50–955.80] | [608.90–1037.00] | |||
IFN-γ | 136.02 | 150.59 | .97 | |
[115.00–157.00] | [105.80–195.30] | |||
TNF-α | 3933.71 | 3256.25 | .01 | |
[3486.00–4381.00] | [2630.00–3882.00] | |||
Th-2 | IL-4 | 230.79 | 253.24 | .92 |
[162.80–298.80] | [11.60–349.90] | |||
IL-5 | 561.05 | 459.85 | .91 | |
[369.00–753.10] | [344.40–575.40] | |||
IL-10 | 145.01 | 139.99 | .68 | |
[128.20–161.80] | [119.30–160.70] | |||
Th-17 | IL-17 | 268.48 | 243.41 | .24 |
[155.90–381.00] | [165.60–321.20] | |||
TNF-α/IL-10 ratio | 27.13 | 23.26 | ND | |
Day 14 | ||||
Th-1 | IL-12 | 547.84 | 213.72 | <.01 |
[412.40–683.30] | [120.50–306.90] | |||
IFN-γ | 91.2 | 1760.67 | .09 | |
[57.25–125.20] | [166.50–3355.00] | |||
TNF-α | 2802.36 | 6378.76 | <.01 | |
[2385.00–3220.00] | [3374.00–9384.00] | |||
Th-2 | IL-4 | 1154.72 | 800.35 | .60 |
[673.50–636.00] | [604.70–996.00] | |||
IL-5 | 294.6 | 347.55 | .15 | |
[170.40–418.80] | [279.20–415.90] | |||
IL-10 | 132.76 | 220.15 | .01 | |
[102.10–163.40] | [172.40–267.90] | |||
Th-17 | IL-17 | 175.75 | 1012.49 | .01 |
[65.54–286.00] | [459.20–1566.00] | |||
TNF-α/IL-10 ratio | 21.11 | 28.97 | ND |
*Mann-Whitney test. ND = not done.
Histopathological examination
Histological examination of infected lung tissue revealed evidence of inflammation, hemorrhage, edema, and necrosis in most cases. These changes were generally greater by day 14 in comparison to day 7. There were no clear differences in histological scores between ST, other than with BMD1646 (ST5), which generated only mild inflammation with no evidence of necrosis or hemorrhage (Fig. S5). PAS staining revealed extensive perivascular infiltration of leukocytes in mice tissue associated with both infecting genotypes (BMD1338-ST5 and BMD1415-ST4, Fig. 6). Extensive in vivo encapsulation of C. neoformans var. grubii in mouse lung was visualized using mucicarmine staining (Fig. 7). We did not formally assess yeast capsule and cell size in the histological specimens and thus were unable to confirm the in vitro finding that ST5 organisms had larger capsule and cell sizes.
Discussion
Most cases of cryptococcal meningitis in HIV uninfected, apparently immunocompetent, patients in Vietnam and East Asia are due to C. neoformans strains of multi-locus sequence type 5 (ST5).9,10,12,17,26–28 This phenomenon could be explained either by ST5 strains being intrinsically more pathogenic or due to unidentified lineage–specific host immune defects or exposures. It is unlikely that the high prevalence of ST5 infection observed in HIV-uninfected patients is explained by a significantly greater prevalence of the lineage in the environment since it causes only 35% of cases in HIV-infected patients within the same geographical area.9 Furthermore, data from China suggest that ST5 strains are significantly less prevalent in the environment, making up only 5% of isolates recovered in a recent study.29 We investigated the first hypothesis by comparing previously identified in vitro virulence-associated phenotypes, along with murine in vivo virulence and immune responses, between lineages. All isolates were derived from HIV-infected or uninfected Vietnamese patients with cryptococcal meningitis. The comparison by MLST defined lineage is appropriate because ST5 is a coherent and distinct group, whole genome sequence data revealing that there are few intra-lineage genomic variations between ST5 strains.17 More recent phylogenetic analysis using whole genome sequencing of a larger collection of clinical isolates from Vietnam, including the eight strains tested in the mouse model, has established that the MLST ST5 and ST4/ST6/306 groups are genetically distinct lineages (VNIa-5 and VNIa-4, respectively).15 It is unlikely that any phenotypic variations among ST5 isolates are primarily attributable to subtle intralineage genomic variations since phenotypic and genotypic diversity are not tightly coupled in C. neoformans var. grubii.30 Due to the fact that ST5 has been shown to be consistently associated with the clinical phenotype of interest (infection in HIV-uninfected patients), and that strains from HIV-uninfected patients are dispersed throughout the VNIa-5 cluster, we believe the ability to infect apparently immunocompetent hosts is common to all ST5 isolates. All comparisons of ST versus non-ST5 in this study were thus essentially VNIa-5 versus VNIa-4.
We found that isolates from all STs were able to grow in ex vivo human CSF and at 37°C - essential characteristics for establishing human CNS infection. While these qualities would be needed for disease in both HIV infected and immunocompetent patients, it might have been expected that ST5 strains would grow more rapidly in these conditions. The lack of ST-specific differences in these phenotypes suggests that the ability to establish disease in HIV-uninfected/immunocompetent patients is not driven by simple adaptations to these conditions.
Notably, ST5 cells were significantly larger than non-ST5 cells, had thicker capsules in vitro, and had more within lineage variation in these characteristics. Capsule size and composition are known to vary during infection and under specific stress conditions,31,32 influencing macrophage phagocytosis and modulating host immune response,32–35 and in human disease, ex vivo capsule size has been associated with higher intracranial pressures, slower yeast clearance and attenuated inflammation.34While we did not formally measure yeast cell or capsule size in our in vivo experiments, mucicarmine staining was suggestive that capsules were indeed larger during mouse infection. It is possible that the ability of ST5 strains to cause infections in immunocompetent patients is a function of increased responsiveness to capsule-inducing conditions. Further investigation of genotype-specific characteristics of in vitro and in vivo capsular polysaccharide production, composition, and morphology, may elucidate a specific role in ST5-associated pathogenesis. Of note, cryptococcal virulence factors frequently have additional metabolic functions; the increased cell and capsule size seen in ST5 isolates may be a side effect of other processes involving capsular-biosynthesis genes (e.g., carbon source sensing, sugar transport and spore formation).36,37.
Our data indicate that phenotypic heterogeneity may be a hallmark characteristic of the ST5 lineage. Heterogeneity is a desirable trait for microbial populations under selection pressure allowing the exploitation of, and survival, in novel niches.38 Chow et al. 39 has previously reported that ST5 C. neoformans var. grubii possesses unique genomic features that may drive niche adaptation. We speculate that the phenotypic heterogeneity associated with strains from the ST5 lineage is a strategy that facilitates successful colonization of novel environmental niches, including the exploitation of infrequent specific human immune deficits. Morphological variation including cell size, capsule size and cell shape has also been associated with different patient clinical symptoms, suggesting greater capacity for pathogenicity, immune evasion, and pathogenesis.40
However, paradoxically, we found no evidence that ST5 isolates have greater virulence in the mouse model. There are several possible explanations. First, virulence in mice is variable depending on mouse breed and may not accurately reflect the immunological heterogeneity of the human population.41 Second, yeasts with different pathogenic potentials, associated with their isolation from different sources (i.e., clinical vs environmental, immunocompromised vs immunocompetent patients) may have the same or paradoxical pathogenic potential in experimental animal models. An example is Cryptococcus gattii, which is associated with infection in immunocompetent patients and therefore is considered to be more fit in the human host than C. neoformans. However, the hypervirulent C. gattii strain R265, responsible for the on-going Vancouver outbreak, has similar virulence in both C57BL/6 and A/J mice to the C. neoformans H99 strain, which was derived from a patient with Hodgkin's disease on chemotherapy.42 Third, the A/J mouse breed is not immunologically intact; it may be an imperfect model of infection for immunocompetent hosts.43 Rather, A/J mice may be a better model of disease in immunosuppressed patients, as they are highly susceptible to cryptococcal disease, and the patterns of cytokine expression in mice with disseminated cryptococcosis are similar to those seen in HIV-infected patients with CM.44 Consistent with this, we could not detect clinical differences in disease course or outcome between HIV patients infected with ST5 versus other strains in Vietnam.17 Models that better mimic infection in immunocompetent hosts are needed.
We did identify lineage specific differences in immune response in the mouse model. Previous research has suggested that a Th1 type immune response, defined by the TNF-α/IL-10 ratio, is protective, and a Th2 response is associated with poor outcomes.45,46 We found no evidence of genotype-specific differences in TNF-α/IL-10 ratios by lineage in the murine infection model. Rather, we found higher initial (day 7) TNF-α concentrations in mice infected with ST5 isolates, suggesting this genotype elicits a more intense initial inflammatory response. Previous studies have suggested that capsule components, or cryptococcal cells themselves, have a dose-dependent ability to stimulate TNF-α production by various immune effector cells.47,48 The more robust initial inflammatory response we observed may have been due to the ST5 capsular phenotype. Previously, it has been suggested that the ability of C. gattii to cause disease in apparently immunocompetent patients is because it induces a less severe inflammatory response compared with other cryptococcal species.42 The robust initial inflammatory responses seen in our murine infection experiments are not consistent with this being the mechanism underlying the ability of ST5 C. neoformans var. grubii organisms to cause disease in the immunocompetent.
In vivo controlled infection studies in mice, including ours, commonly employ the classic definition of pathogenicity as the microbe's capability to cause disease in a susceptible host, whereas virulence corresponds to the severity of the ensuing pathology.49 Using the same infective dose for all strains we failed to demonstrate that ST5 strains had greater virulence. The difference we observe in prevalence of different lineages in immunocompetent and immunosuppressed humans may actually represent specific differences in pathogenicity—the ability of the organisms to colonize the host and establish infection. We could not assess this with our experimental system.
In summary, our cohort of ST5 Cryptococcus isolates displayed two notable phenotypes. First, despite their well-documented ability to cause disease in HIV-uninfected humans, they appeared to be less virulent in a murine model than the other sequence types, as demonstrated by reduced fungal burdens in tissue and prolonged mouse survival. Second, ST5 strains had larger capsules and cell sizes than the other genotypes, and greater variability in this phenotype throughout the lineage. These data lead us to the following conclusions. First, clinical isolates, which have by their nature already undergone selection within the human host, can possess wide variability in the expression of virulence phenotypes within a single lineage. Second, the use of host risk factors and immune phenotypes to derive an understanding of the factors that drive the pathogenicity of Cryptococcus neoformans may be more complex than anticipated. Associations may be difficult to make due to the relevance of the particular in vitro phenotypes, the animal models used, within strain heterogeneity, and population substructure. Moreover, there may be heterogeneity in the immune response of apparently immunocompetent patients, which selects particular subcohorts of isolates of the same lineage. Laboratory phenotyping of larger numbers of clinical isolates is needed to define the lineage-specific differences that determine different human disease phenotypes.
Finally, it is possible that the categorization of strains into specific clades with limited genetic information such as MLST may lack precision to understand the relative fitness of specific strains in the human host. It is likely that whole genome sequencing will provide better mapping of the relationships between strains and virulence.
In conclusion, in this study, we demonstrated genotype-specific differences in in vitro and in vivo virulence phenotypes between C. neoformans var. grubii strains isolated from host with different immune status. However, there was also significant variation among strains isolated from apparently immunocompetent patients in specific in vitro and in vivo phenotypes tested. This higher rate of phenotypic variation may represent an evolutionary strategy for C. neoformans var. grubii to take advantage of novel niches and contribute to their ability to infect apparently immunocompetent hosts, despite generally being less virulent in a mammalian animal model. Furthering the understanding of the pathogenesis of cryptococcal meningitis will require investigation of large numbers of strains with associated robust clinical information, and the development of high throughput laboratory phenotypic studies that have clinical relevance in humans.
Supplementary Material
Acknowledgments
This work was supported by a Wellcome Trust Intermediate Fellowship awarded to JND (WT097147MA), and a Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (100087/Z/12/Z) awarded to S.G.B. Multiplex cytokine profiling was performed in the Immunology Unit of the Duke Regional Biocontainment Laboratory, which received partial support for construction from the US National Institutes of Health, National Institute of Allergy and Infectious Diseases (UC6-AI058607). The study was approved by the scientific committee of the Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam.
Contributor Information
Lam Tuan Thanh, Oxford University Clinical Research Unit, Wellcome Trust Asia Africa Programme, Ho Chi Minh City, Vietnam.
Dena L Toffaletti, Division of Infectious Diseases, Department of Medicine and Department of Molecular Genetics and Microbiology, Duke University, North Carolina, USA.
Jennifer L Tenor, Division of Infectious Diseases, Department of Medicine and Department of Molecular Genetics and Microbiology, Duke University, North Carolina, USA.
Charles Giamberardino, Division of Infectious Diseases, Department of Medicine and Department of Molecular Genetics and Microbiology, Duke University, North Carolina, USA.
Gregory D Sempowski, Duke Human Vaccine Institute and Regional Biocontainment Laboratory, Duke University, North Carolina, USA.
Yohannes Asfaw, Division of Laboratory Animal Resources, Duke University, North Carolina, USA.
Hai Trieu Phan, Oxford University Clinical Research Unit, Wellcome Trust Asia Africa Programme, Ho Chi Minh City, Vietnam.
Anh Van Duong, Oxford University Clinical Research Unit, Wellcome Trust Asia Africa Programme, Ho Chi Minh City, Vietnam.
Nguyen Mai Trinh, Oxford University Clinical Research Unit, Wellcome Trust Asia Africa Programme, Ho Chi Minh City, Vietnam.
Guy E Thwaites, Oxford University Clinical Research Unit, Wellcome Trust Asia Africa Programme, Ho Chi Minh City, Vietnam; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Philip M Ashton, Oxford University Clinical Research Unit, Wellcome Trust Asia Africa Programme, Ho Chi Minh City, Vietnam; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Nguyen Va Vinh Chau, Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam.
Stephen G Baker, Cambridge Institute of Therapeutic immunology and Infectious Disease, Department of Medicine, University of Cambridge, Cambridge, UK.
John R Perfect, Division of Infectious Diseases, Department of Medicine and Department of Molecular Genetics and Microbiology, Duke University, North Carolina, USA.
Jeremy N Day, Oxford University Clinical Research Unit, Wellcome Trust Asia Africa Programme, Ho Chi Minh City, Vietnam; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Declaration of interest
The authors report no conflicts of interest. The authors alone are responsible for the content and the writing of the paper.
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