Acute pulmonary histoplasmosis in healthy individuals comprises most of the disease burden caused by the fungal pathogen Histoplasma. Fungal pneumonia is frequently delayed in diagnosis and treatment due to a prolonged period of quiescence early during infection. In this study, we used a murine respiratory model of histoplasmosis to investigate how different Histoplasma species modulate lung inflammation throughout the complete course of infection. We propose that a relatively low, sublethal inoculum is ideal to model acute pulmonary histoplasmosis in humans, primarily due to the quiescent stage of fungal growth that occurs in the lungs of mice prior to the initiation of inflammation. Our results reveal the unique course of lung immunity associated with divergent species of Histoplasma and imply that the progression of clinical disease is considerably more heterogeneous than previously recognized.
KEYWORDS: Histoplasma, alveolar macrophages, histoplasmosis, inflammation, lung infection, respiratory pathogens, species diversity
ABSTRACT
Histoplasma is an endemic dimorphic fungus that can cause disease in healthy and immunocompromised individuals after the transition of inhaled spores into the facultative intracellular yeast form. There is substantial diversity among Histoplasma species, but it is not clear how this heterogeneity impacts the progression of pathology and cellular immune responses during acute respiratory infection, which represents the vast majority of histoplasmosis disease burden. After inoculating mice intranasally with a sublethal inoculum, we characterized the immune response to Histoplasma capsulatum (strain G186A) and Histoplasma ohiense (strain G217B) using comprehensive flow cytometric and single-cell analyses. Within 8 days after inoculation, H. ohiense induced a significantly higher infiltration of neutrophils and inflammatory monocytes into the lung compared to H. capsulatum. Microscopic analysis of infected lung tissue revealed that although the total number of fungi was similar within inflamed lung lesions, we observed different species-dependent intracellular yeast distribution patterns. Inoculation with gfp-expressing strains indicated that H. ohiense, but not H. capsulatum, was associated primarily with alveolar macrophages early after infection. Interestingly, we observed a significant reduction in the total number of alveolar macrophages 12 to 16 days after H. ohiense, but not H. capsulatum infection, despite similar intracellular growth dynamics within AMJ2-C11 alveolar macrophages in vitro. Together, our data suggest that H. ohiense, but not H. capsulatum, preferentially interacts with alveolar macrophages early after infection, which may lead to a different course of inflammation and resolution despite similar rates of fungal clearance.
IMPORTANCE Acute pulmonary histoplasmosis in healthy individuals comprises most of the disease burden caused by the fungal pathogen Histoplasma. Fungal pneumonia is frequently delayed in diagnosis and treatment due to a prolonged period of quiescence early during infection. In this study, we used a murine respiratory model of histoplasmosis to investigate how different Histoplasma species modulate lung inflammation throughout the complete course of infection. We propose that a relatively low, sublethal inoculum is ideal to model acute pulmonary histoplasmosis in humans, primarily due to the quiescent stage of fungal growth that occurs in the lungs of mice prior to the initiation of inflammation. Our results reveal the unique course of lung immunity associated with divergent species of Histoplasma and imply that the progression of clinical disease is considerably more heterogeneous than previously recognized.
INTRODUCTION
Histoplasma species are thermally dimorphic fungi that are extremely diverse in geographical distribution and genetic composition. In the United States, Histoplasma is one of three pathogenic fungi that cause endemic mycoses along with Blastomyces and Coccidioides due to its association with a specific ecological niche and ability to cause infection in immunocompetent individuals (1). Recent evidence suggests that the known range of Histoplasma endemicity around the Ohio and Mississippi River valleys is shifting (2), and this is supported by severe histoplasmosis cases that have been reported in nonendemic areas without known travel to the defined endemic region described 50 years ago (3, 4). It is estimated that approximately three million infections occur per year in the United States (5), and yet, surveillance data may reflect only a small fraction of the total disease burden while also underestimating the most severe cases (6). Outside of the United States, Histoplasma is endemic in southern Mexico, Central and South America, India, China, and Southeast Asia (7). AIDS-associated histoplasmosis cases continue to reveal previously unrecognized endemic regions (7), and recent estimates suggest that Histoplasma causes a higher number of Latin American HIV-associated deaths than tuberculosis (8). Hence, a significant proportion of the human population worldwide is regularly exposed to Histoplasma in which potential disease can range from acute respiratory infections in immunocompetent individuals to invasive disseminated histoplasmosis in immunosuppressed patients.
The majority (>90%) of disease caused by Histoplasma is thought to be self-limiting acute pulmonary histoplasmosis. This form of disease is often misdiagnosed for community-acquired viral or bacterial pneumonia (5), which might be at least partially due to low histoplasmosis-specific testing rates, and thus, diagnostic delays can occur after inappropriate antibacterial prescriptions (9). Acute pulmonary illness due to infection with Histoplasma is characterized by cough, fever, and chills, and mild cases normally resolve within 1 to 2 weeks untreated, but more severe cases may require up to 12 weeks of antifungal treatment (5). Additionally, it is not uncommon for pulmonary histoplasmosis to be initially a quiescent infection diagnosed incidentally by either biopsy or chest radiograph after the identification of lung nodules or lymphadenopathy (10). An immunocompromised host status is a prerequisite for many fungal infections; however, a recent publication by the CDC found that 80% of all histoplasmosis patients included in their study cohort between 2012 and 2014 were not associated with any immunocompromising condition (9). It is well established that acute pulmonary infection comprises the bulk of human histoplasmosis cases; however, relatively little is known about the progression of lung immunity that leads to fungal clearance following acute infection in mice.
Likewise, even less is known about how the progression of infection is impacted by which Histoplasma species was the cause of disease. The wide geographical distribution of histoplasmosis parallels the genetic diversity that exists among Histoplasma species. A hallmark publication by Kasuga et al. described seven genetically isolated clades of Histoplasma based on genetic variation across four protein-coding genes (11). Teixeria et al. (12) identified additional phylogenetic species of Histoplasma capsulatum within the Latin American clade (now considered Histoplasma suramericanum), and these were proposed to be a result of bat radiation and diversification (12, 13). Whole-genome sequencing, population genetics, and phylogenetic analyses led to the proposal that the previously described H. capsulatum clades represent at least four different genetically isolated species of Histoplasma that required taxonomical rearrangement of the genus (13). The composition of the fungal cell wall was the one of the earliest characteristics used to distinguish between Histoplasma isolates, which led to the chemotype I (lacking α-glucan) and chemotype II (containing α-glucan) distinctions (14). Most Histoplasma strains (including H. capsulatum sensu stricto) are chemotype II strains, which require α-(1,3)-glucan for virulence (15); however, virulence is not attenuated in chemotype I strains (H. ohiense, previously referred to as the North American 2 clade) that lack α-(1,3)-glucan in the outer cell wall. Additionally, H. capsulatum and H. ohiense have different requirements for virulence determinants, including adhesins, iron homeostasis, and secreted factors (16). Host cell signaling events induced subsequently by various innate immune cell types are dictated by the differential recognition of H. capsulatum and H. ohiense yeast cell walls (17).
Much of what is known about Histoplasma pathogenesis can be attributed to the use of the G217B isolate of H. ohiense combined with high inocula in mice. Historically, the H. ohiense G217B isolate is considered more virulent than the H. capsulatum G186A isolate due to higher tissue burdens and more robust inflammation observed in mice after either intravenous or intranasal inoculation with at least 105 CFU (18–20). However, using a low, sublethal intranasal inoculum of 2,500 yeast cells (hereafter referred to as yeasts), we found that H. capsulatum and H. ohiense exhibit nearly identical growth kinetics in the lungs of mice during both the acute and resolution stages of infection (19). The intranasal inoculation of mice with 103 spores resulted in 94.1% of mice having positive organ cultures over a 6-month period (21). This suggests that approximately 103 units of infectious material is sufficient to consistently cause disease in mice using a respiratory route of inoculation. Intratracheal inoculation with either 103 H. suramericanum (formerly Histoplasma clade LAm A) or H. ohiense yeasts led to fungal growth in the lung between 3 and 14 days after inoculation, which was followed by decreased lung burdens 28 days after infection (22). Durkin et al. showed that although total lung burdens were similar between two distinct classes of Histoplasma, overall mortality and lung histopathology results suggest diverse host inflammatory responses (22). Therefore, in the context of similar lung fungal burdens, we propose that the use of a relatively low inoculum can provide insight into the distinct pulmonary immune responses induced by diverse Histoplasma species. In this study, we characterized unique inflammatory dynamics that were correlated with the two most commonly used Histoplasma isolates, H. capsulatum G186A and H. ohiense G217B, during the acute and resolution stages of lung infection in immunocompetent mice. Our findings highlight the differential progression of lung inflammation and intracellular parasitism associated with diverse species of Histoplasma and could be informative to our understanding of the variety of disease that occurs worldwide.
RESULTS
H. capsulatum induces delayed, but prolonged, lung inflammation relative to H. ohiense following sublethal inoculation.
To quantify the progression of inflammation during sublethal, acute infection with divergent species of Histoplasma, inflamed lesions were analyzed in hematoxylin and eosin (H&E)-stained lung sections (see Fig. S1 in the supplemental material) after intranasal inoculation with 2,500 yeasts of either H. capsulatum (Fig. 1A) or H. ohiense (Fig. 1B). During sublethal histoplasmosis in mice, inflammatory foci were not evident until at least 8 days after inoculation, despite this time point being associated with the highest fungal burden during infection (19). Inflammatory foci were most abundant between 16 and 20 days after inoculation with either H. capsulatum or H. ohiense (Fig. 1C). The proportion of the total lung area associated with inflamed lesions was consistent with our previous qualitative findings (19), and these foci were primarily centered around medium to large airways and blood vessels. A similar total number of individual regions were quantified in the lungs of mice infected with either Histoplasma species 8 days after inoculation (Fig. 1C), whereas the average surface area of each region in the lungs of H. ohiense-infected mice was significantly higher than those of H. capsulatum-infected mice (Fig. 1D). Approximately 10% of the lung area was comprised of airways that were completely consolidated 8 days after inoculation with H. ohiense, and this was significantly higher than that observed after inoculation with H. capsulatum (Fig. 1E). Later during infection, we observed that the host inflammatory response to H. capsulatum was prolonged relative to H. ohiense-triggered inflammation, which had begun to resolve at 16 days postinoculation (Fig. 1E). This was due to the mean size, but not number, of inflammatory lesions that decreased from 16 to 20 days after inoculation with H. ohiense, but not H. capsulatum (Fig. 1D). Overall, quantitative image analyses of whole lung sections revealed that H. capsulatum and H. ohiense elicited distinct patterns of lung inflammation with regard to the kinetics of airway consolidation and disease resolution.
Host response to H. ohiense, but not H. capsulatum, is associated with a significant influx of neutrophils and a concomitant depletion of alveolar macrophages.
Next, flow cytometry was used to determine the identity of host cells that infiltrated the lung during low-dose, sublethal acute infection with each Histoplasma species. Traditional sequential gating was combined with unbiased analyses to identify all CD45+ leukocyte populations. This allowed us to determine how leukocyte populations differed in number and phenotype during histoplasmosis. A panel of surface antigens was implemented to phenotype myeloid cell subsets in addition to general lymphoid cell types following enzymatic digestion of lung tissue (23, 24). Live CD45+ singlets from all mice at each time point were concatenated and subjected to t-distributed stochastic neighbor embedding (tSNE) (unbiased clustering) analysis in FlowJo (Fig. S2A). To determine the identity of distinct cell populations segregated by tSNE, we used a sequential gating scheme (Fig. S2B) to characterize lung immune cell populations (23, 24). Clustered populations were confirmed by antigen expression heat maps generated by the unbiased tSNE algorithm (Fig. S2C). The distribution and abundance of lung cell populations in each group of mice could be directly compared after backgating using the embedded file keywords (Fig. S2A).
The comprehensive flow cytometric-based analysis of lung cells described above was performed at various times after inoculation with Histoplasma, resulting in specific tSNE display patterns at each time point (Fig. 2). Eight days following inoculation, neutrophils (orange) represented a significant proportion of CD45+ cells (26%) in response to H. ohiense-infected mice relative to H. capsulatum-infected mice, in which only 9% of CD45+ lung cells were neutrophils (Fig. 2A and D). Furthermore, infection with H. capsulatum was associated with only a modest neutrophilic response relative to mock-infected mice (Fig. 2D), despite similar total lung fungal burdens as H. ohiense (19). H. ohiense-infected lungs contained a significantly higher number of inflammatory monocytes (magenta) relative to H. capsulatum infection, despite a similar proportion of naive Ly6Chi monocytes (purple) at this time (Fig. 2A and E). As the infection progressed, the proportion and total number of inflammatory monocytes recruited to the lungs were similar between both Histoplasma species (Fig. 2B, C, and E). These results are consistent with our lung histological analyses and suggest that acute inflammation in response to H. ohiense was associated with the early recruitment of neutrophils and inflammatory monocytes into the lung.
Despite a similar proportion of naive and inflammatory monocytes 12 to 16 days after inoculation, we observed a significant loss of alveolar macrophages (cyan) in response to H. ohiense, but not H. capsulatum (Fig. 2B, C, and F). The total number of alveolar macrophages declined between 4 to 8 days after inoculation with H. ohiense and continued to decrease until 16 days postinoculation (Fig. 2F). At this time, the number of alveolar macrophages recovered from the lungs of H. ohiense-infected mice was reduced nearly fivefold compared to H. capsulatum (Fig. 2F). However, the number of alveolar macrophages began to rise from 20 to 32 days after infection with H. ohiense (Fig. 2F), which correlated with the resolution of inflammation (Fig. 1). Overall, alveolar macrophages were the only CD45+ lung cell population that was selectively depleted in response to H. ohiense relative to H. capsulatum.
In situ visualization of Histoplasma reveals unique intracellular growth dynamics.
It has been presumed that alveolar macrophages are an important intracellular growth niche for Histoplasma during pulmonary infection, and this led us to hypothesize that alveolar macrophages heavily infected with H. ohiense may have been destroyed during the generation of single-cell suspensions. Therefore, we opted to use an in situ approach to visualize Histoplasma-infected cells by inoculating mice with gfp-expressing Histoplasma and then performing immunohistochemistry to chromogenically label green fluorescent protein (GFP) within yeasts, followed by secondary hematoxylin staining. We used this approach over fluorescence-based techniques to avoid autofluorescence in formalin-fixed lung tissue, to avoid photobleaching of local GFP signal during the time required to scan the whole lung section, and to improve long-term storage stability. Four days after inoculation, we were unable to infer any species-specific trends due to a lack of inflammation and a limited number of infected cells. However, Histoplasma yeasts were readily identified in the lungs 8 days after inoculation, and both species were always found within inflammatory foci (Fig. 3A). The majority of H. capsulatum-infected cells in the lung were localized with only one or two yeasts on average, and we rarely visualized single cells associated with more than four or five yeasts (Fig. 3A). In contrast, H. ohiense-infected tissue sections contained heavily infected mononuclear phagocyte populations (circled in red in Fig. 3A). The relatively large and rounded nuclei of these cells localized in alveoli were consistent with macrophages and not inflammatory or resident monocytes. Despite the presence of heavily infected cells, most H. ohiense yeasts were localized with smaller mononuclear and polymorphonuclear cells (red arrowheads in Fig. 3A). In regards to the general immune infiltrate, polymorphonuclear leukocytes were abundant within the same inflammatory foci of H. ohiense-infected lungs, which was consistent with the significantly elevated number of neutrophils relative to H. capsulatum infection (Fig. 2D). The average number of yeasts associated with inflamed lesions was not significantly different between H. capsulatum and H. ohiense (Fig. S3). Overall, these microscopy findings 8 days after inoculation suggested that H. capsulatum infected a range of mononuclear cells with distinct morphologies, and these cells contained only a few yeasts per cell on average. In contrast, while several large mononuclear cells were heavily infected with H. ohiense, the majority of yeasts were associated with smaller leukocytes (presumably inflammatory granulocytes and monocytes) that had only a few yeasts per cell.
Next, we turned our attention to relatively later stages of infection associated with fungal clearance and the resolution of inflammation. Twelve to 16 days after inoculation, we did not observe more than two or three yeasts of either Histoplasma species associated with individual cells (Fig. 3B and C). A similar number of yeasts were enumerated in the inflammatory foci of lungs 12 days after inoculation with either Histoplasma species (Fig. S3). Lung tissue examined 16 days after inoculation (Fig. 3C) contained the largest inflamed regions, which was consistent with the quantitative data in Fig. 1. Despite the large size of these inflammatory foci, relatively few yeasts were detected within these regions 16 days after inoculation (Fig. 3C), and again, there was not a significant difference in the number of yeasts quantified between fungal species (Fig. S3). Therefore, these histological findings serve as compelling evidence that the preferential depletion of alveolar macrophages 16 days following H. ohiense infection is not a result of heavily infected cells that had lysed during tissue processing. Likewise, as highlighted in Fig. 3C, it was uncommon to identify H. ohiense-associated cells that had more than one yeast per cell at this time point. Therefore, the reduction in the number of yeasts within individual consolidated regions directly correlated with the resolution of acute histoplasmosis in mice.
H. ohiense is preferentially associated with alveolar macrophages early after infection.
To determine the phenotype of specific leukocyte populations associated with Histoplasma in the lung, we inoculated mice intranasally with gfp-expressing Histoplasma, and flow cytometry was used to identify GFP-positive (GFP+) cells. Despite a total of only 103 to 104 GFP+ CD45+ lung cells 4 to 8 days after infection (Fig. S4), GFP+ alveolar macrophages were easily identified using mice inoculated with nonfluorescent control strains as negative gating controls (Fig. 4A). We observed species-dependent differences in the proportion of GFP+ cells among myeloid populations at each time point (Fig. 4B and C). Four days after inoculation, approximately 54% of all GFP+ cells isolated from the lungs of H. ohiense-infected mice were alveolar macrophages, compared to only ∼23% of GFP+ cells during infection with H. capsulatum (Fig. 4B and C). The proportion of GFP+ alveolar macrophages remained consistent from 4 to 8 days after inoculation with H. capsulatum, whereas less than ∼3% of all GFP+ cells were alveolar macrophages 8 days after inoculation with H. ohiense (Fig. 4B). The vast majority of GFP+ cells were neutrophils 8 days after H. ohiense infection (Fig. 4B and C), which correlated with the significant influx of neutrophils into the lungs of H. ohiense-infected mice, but not H. capsulatum-infected mice, at this time point (Fig. 2D).
Later during infection with both Histoplasma species, the distribution of fungus-associated cells shifted toward other mononuclear phagocytes, including monocytes and interstitial macrophages (Fig. 4B). Approximately 60% of all H. ohiense-infected cells 12 days after inoculation were Ly6Chi MHC-II+ (major histocompatibility complex class II-positive) inflammatory monocytes as opposed to H. capsulatum yeasts, which were localized predominantly with Ly6Clo monocytes and interstitial macrophages (Fig. 4B and C). Fungal clearance in the lung occurred from 16 to 20 days after inoculation with either Histoplasma species (19), and accordingly, we detected slightly fewer GFP+ cells at this time point relative to 12 days postinoculation (Fig. S4). A significantly higher proportion of total GFP+ cells corresponded to Ly6Clo monocytes 16 days after inoculation with H. capsulatum, whereas H. ohiense yeasts were mainly associated with inflammatory monocytes and neutrophils at this time (Fig. 4B and C). Together with our histology findings, our data suggest that H. capsulatum does not preferentially localize or replicate inside a specific leukocyte population during the progression of disease. In contrast, H. ohiense is primarily associated with alveolar macrophages early after infection before being taken up by neutrophils and inflammatory monocytes that are recruited to the lung during infection. These yeast localization studies reveal unique host cell association patterns that are Histoplasma species dependent and further support the distinct progression of lung inflammation and host cell recruitment induced by each fungal species.
Invasion and intracellular growth of Histoplasma in alveolar macrophages is species independent.
To determine whether the preferential association of H. ohiense with alveolar macrophages was due to enhanced invasion and intracellular replication relative to H. capsulatum, we investigated the interaction of Histoplasma with alveolar macrophages in vitro. The transformed alveolar macrophage cell line AM2J-C11 is derived from C57BL/6 alveolar macrophages and functions similarly to the parental population (25). We employed this alveolar macrophage cell line for our single-cell analyses as opposed to ex vivo isolation because only ∼75% of bronchoalveolar lavage cells are MHC-II− alveolar macrophages (26). In addition, we wanted to avoid potentially triggering a proinflammatory response that can occur in freshly isolated alveolar macrophages (27).
To avoid overwhelming cells with an excessive number of yeasts immediately after incubation, AMJ2-C11 cells were incubated with gfp-expressing Histoplasma yeasts at a low ratio (0.5 to 1 yeast per cell) to monitor invasion and intracellular replication of Histoplasma. Imaging flow cytometry approaches have superior sensitivity and accuracy compared to lysing cells and enumerating CFU due to differences in plating efficiency and aggregation of H. capsulatum and H. ohiense yeasts (28). Additionally, this single-cell analysis allowed us to visualize individually infected cells in contrast to CFU recovered from the entire population of infected cells. We hypothesized that H. ohiense would be taken up more efficiently by alveolar macrophages relative to H. capsulatum. However, similar percentages of AMJ2-C11 cells were associated with H. capsulatum and H. ohiense 24 h after infection (Fig. 5A). The percentage of live GFP+ cells did not increase from 24 to 72 h after initial infection, indicating a lack of secondary infection that can result from extracellular fungal outgrowth (Fig. 5A). Likewise, the number of dead GFP+ cells (identified by uptake of a viability dye) was minimal during in vitro infection (Fig. S5A), which was consistent with a previous study using a similar multiplicity of infection in macrophages (28). Therefore, we concluded that H. ohiense was not taken up by alveolar macrophages more efficiently than H. capsulatum. These data also suggest that infection with H. ohiense does not induce overt cell death relative to H. capsulatum when macrophages are exposed to a relatively low inoculum.
H. capsulatum and H. ohiense had similar in vitro generation times with logarithmic phase growth occurring between 24 and 72 h in the same media used to culture AMJ2-C11 (Fig. S5B). Additionally, these growth curves were consistent with previous in vitro growth curves in standard Histoplasma growth media (15). To investigate the intracellular growth dynamics of each Histoplasma species, imaging flow cytometry was used to quantify the number of yeasts inside each GFP+ AMJ2-C11 cell. Composite images of live, GFP+ AMJ2-C11 cells 24 to 72 h after infection were generated by merging images from bright-field and GFP channels (Fig. 5B). Next, the spot count feature was used to enumerate the number of intracellular yeasts within each GFP+ cell. At each time point analyzed, most infected cells had six or fewer yeasts per cell (Fig. 5C) with a median of approximately three yeasts per cell regardless of Histoplasma species (Fig. 5C, inset). There was not an appreciable increase in the median number of intracellular yeasts per cell from 24 to 72 h after inoculation with either fungal species (Fig. 5C). This was likely due to this approach providing a snapshot of individually infected cells at each time point, instead of tracking growth within the same cell, which would be technically challenging given the slow doubling time of Histoplasma. Overall, these in vitro studies indicated that H. capsulatum and H. ohiense exhibited similar uptake and intracellular growth rates with cultured alveolar macrophages.
Infection with H. ohiense leads to enhanced alveolar macrophage activation relative to H. capsulatum.
Although we observed that alveolar macrophages were significantly depleted during H. ohiense infection, the reasons for this were not immediately apparent. It was unlikely that this could be attributed primarily to yeast-mediated killing, since flow cytometry and histology showed that only a tiny fraction of the alveolar macrophage population was infected. Additionally, in vitro growth assays revealed that H. ohiense did not replicate more efficiently inside alveolar macrophages relative to H. capsulatum. Therefore, we shifted our focus back to defining parameters of the differential host response against Histoplasma. Upon closer observation of the alveolar macrophage populations clustered by tSNE, we noticed that the remaining alveolar macrophages in the lungs of H. ohiense-infected mice were localized to only a partial region of the area that corresponded to alveolar macrophages recovered from either mock-infected or H. capsulatum-infected mice 16 days after inoculation (Fig. 2C, cyan arrowheads). This suggested that the remaining alveolar macrophages in the lungs of H. ohiense-infected mice expressed a phenotype representative of only a fraction of the alveolar macrophages recovered from either H. capsulatum-infected or mock-infected mice. Alveolar macrophage activation has been associated with elevated levels of MHC-II and CD11b in mice and humans (29). Accordingly, the individual tSNE antigen heat maps revealed that alveolar macrophages isolated from H. ohiense-infected lungs had higher relative MHC-II levels (Fig. 6A, light green and yellow events) in addition to elevated levels of CD11b (Fig. 6B, light green events). Bivariate contour plots of CD11b and MHC-II expression on alveolar macrophages revealed the differential rate of cellular activation during infection with divergent species of Histoplasma (Fig. 6C). Despite similar total numbers of alveolar macrophages in the lung, over half of the population was MHC-II+ by 8 days postinoculation with H. ohiense (Fig. 6D). Nearly the entire population of alveolar macrophages in the lungs of H. ohiense-infected mice was MHC-II+ 12 to 16 days after infection (Fig. 6D). Likewise, CD11b expression levels were significantly higher on alveolar macrophages collected from the lungs of H. ohiense- but not H. capsulatum-infected mice 12 and 16 days after infection (Fig. 6E). These time points corresponded to when significantly fewer total alveolar macrophages were recovered from the lungs of H. ohiense-infected mice relative to infection with H. capsulatum (Fig. 2F). Together, our data suggest that the relatively few remaining alveolar macrophages in the lungs of H. ohiense-infected mice are immunologically distinct from those isolated from H. capsulatum-infected mice. These findings support the idea that infection with H. ohiense triggers elevated proinflammatory responses relative to H. capsulatum that modulate the alveolar macrophage population and perhaps the polarization of other mononuclear phagocytes.
Lung inflammatory mediators induced by H. ohiense correlate with immune cell dynamics.
Last, we sought to determine whether the differential course of leukocyte population dynamics in the lung correlated with myeloid-associated inflammatory mediators. First, we focused on stem cell factors responsible for the survival, recruitment, and proliferation of alveolar macrophages. Macrophage colony-stimulating factor (M-CSF) is important for the establishment and survival of F4/80+ resident mononuclear phagocytes in a local manner (30), and granulocyte-macrophage colony-stimulating factor (GM-CSF) is crucial to maintain pulmonary homeostasis by regulating alveolar macrophage growth and differentiation (31, 32). This led us to hypothesize that significantly reduced M-CSF and GM-CSF concentrations during infection with H. ohiense were responsible for the depletion of alveolar macrophages. In contrast, neither M-CSF nor GM-CSF levels were significantly reduced in the lungs of mice infected with H. ohiense relative to H. capsulatum (Fig. 7A and B). In fact, we observed significantly higher GM-CSF lung concentrations 12 days after inoculation with H. ohiense relative to H. capsulatum (Fig. 7B). GM-CSF has been shown to be elevated during inflammatory conditions (33), and this was consistent with the significantly higher number of inflammatory monocytes and neutrophils recruited to the lung relatively early after H. ohiense, but not H. capsulatum, infection (Fig. 2D). These data suggest that either local concentrations of stem cell factors are insufficient to support alveolar macrophage survival or growth or that other characteristics of the host response to H. ohiense contribute to the depletion of alveolar macrophages.
One of the primary murine chemokines responsible for attracting neutrophils is keratinocyte-derived chemokine (KC) (CXCL1) (34). As expected, we detected significantly higher KC concentrations in the lungs of H. ohiense-infected mice relative to inoculation with H. capsulatum (Fig. 7C). This directly correlated with the significantly higher number of neutrophils that infiltrated the lungs 8 days after inoculation with H. ohiense, but not H. capsulatum (Fig. 2D). In addition, H. ohiense induced elevated concentrations of interleukin-6 (IL-6) that peaked 8 days after infection (Fig. 7D), which closely mirrored the expansion and contraction of neutrophils (Fig. 7D). These results were consistent with a model proposing that IL-6 functions as a regulator of acute inflammation by reducing neutrophil recruitment and promoting the subsequent infiltration of monocytes to help resolve inflammation (35). Interleukin-1 signaling and IL-1β are known to be critical for defense against pulmonary Histoplasma infection in mice (36), and previously, we found that H. ohiense induced significantly higher IL-1β levels than H. capsulatum 8 days after inoculation with 105 yeasts (19). However, it was unclear whether a low, sublethal inoculum would elicit the same host response pattern between Histoplasma species in the context of matched lung burdens. As shown in Fig. 7E, significantly higher IL-1β levels were detected in the lungs of H. ohiense-infected mice than in the lungs of H. capsulatum-infected mice, particularly at 12 days postinoculation, which was inversely correlated with the depletion of alveolar macrophages. These findings support our histopathology analyses and quantitation of inflammatory monocytes, which subsequently peaked at 16 days after inoculation, presumably in response to soluble inflammatory factors in the lung.
Overall, our results implied that biodiverse Histoplasma species induced distinct patterns of lung inflammation which correlated with the differential composition of innate immune cells and soluble mediators. This underscores the potentially diverse clinical outcomes of pulmonary histoplasmosis that might occur with phylogenetically distinct Histoplasma species.
DISCUSSION
In this study, we identified unique patterns of lung immune responses elicited by geographically and genetically distinct Histoplasma species using a murine model of pulmonary disease. Previously, we reported that the inoculation of immunocompetent mice with a low, sublethal dose of various Histoplasma species resulted in similar fungal growth and clearance kinetics in the lung (19). Here, we showed that despite a similar number of infected lung cells, H. capsulatum and H. ohiense were associated with distinct intracellular niches in the lung. In addition, infection with H. ohiense resulted in an enhanced infiltration of neutrophils and inflammatory monocytes. Alveolar macrophages were specifically impacted in response to H. ohiense compared to infection with H. capsulatum or mock-inoculated animals. Our findings suggested that alveolar macrophages were preferentially targeted by H. ohiense early after infection, despite similar rates of uptake and intracellular growth between both fungal species in vitro.
It is presumed that Histoplasma is primarily associated with alveolar macrophages after respiratory infection; however, this dogma has not been specifically examined in vivo or in the context of all leukocyte populations. In fact, Deepe et al. found that the majority of infected lung cells are dendritic cells (CD11c+ Mac-3-MHC-IIhi CD68−) 1 day after the inoculation of C57BL/6 mice with 106 Histoplasma yeasts (20). It is important to note that Deepe et al. did not specifically analyze alveolar macrophages, and even so, less than 30% of all yeast-associated cells were Mac-3+ CD11c−/lo macrophages at every time point analyzed (20). In that same study, both H. capsulatum (G186A) and H. ohiense (G217B) were primarily associated with neutrophils from 3 to 7 days after inoculation (20). It is also possible that the findings by Deepe et al. are reflective of high intranasal inocula (105 to 106 yeasts) compared to our experiments (2,500 yeasts), chosen because this lower inoculum equalizes lung fungal burdens of both Histoplasma species throughout the course of infection (19). In another study, alveolar macrophages represent only approximately 5% of all infected lung cells 7 days after mice are inoculated with 105 H. ohiense (G217B) (37). Therefore, H. ohiense may productively infect alveolar macrophages relatively early after pulmonary infection; however, counter to dogma, this cell population does not appear to serve as a long-term intracellular niche for either H. capsulatum or H. ohiense.
Infection with H. ohiense was correlated with a dramatic reduction in the number of alveolar macrophages compared to either mock-infected or H. capsulatum-infected mice, and thus, we originally proposed that this was due to enhanced intracellular parasitism and subsequent cell death. There is contention as to whether Histoplasma induces macrophage apoptosis, and conflicting interpretations are likely a result of the technical differences among studies related to strain usage, multiplicity of infection, timing, and models of infection. In vitro studies have reported that cultured alveolar macrophages are apoptotic within 24 h after incubation with Histoplasma at a multiplicity of five yeasts per cell, and this is suggested to be due to the expression of calcium binding protein (CBP), a yeast-specific secreted effector (38, 39). Pitangui et al. examined the interaction of Histoplasma with AMJ2-C11 alveolar macrophages and found that apoptosis occurs within 5 h after incubation with a 5:1 ratio of yeasts to cells (40). In that study, the authors noted that microscopic imaging revealed that individual cells contain up to 24 to 30 yeasts, and thus, it is not surprising that apoptosis occurs rapidly in that scenario (40). Indeed, the multiplicity of infection has been directly correlated with cell death after in vitro infection (41). Deepe and Buesing showed that apoptosis of alveolar macrophages is evident 24 h after incubation, but only if a multiplicity of five or more yeasts per cell is used (41). This is in direct agreement with our in vitro results using AMJ2-C11 cells, as we opted to use a low multiplicity of infection to evaluate intracellular growth kinetics while avoiding overt cell death (see Fig. S5 in the supplemental material).
On the other hand, in vivo studies have suggested that Histoplasma is correlated with the inhibition of apoptosis in myeloid cell types. The peritoneal inoculation of mice with Histoplasma leads to a reduction in the propensity of inflammatory phagocytes to undergo apoptosis ex vivo (42). Likewise, macrophages represent only a minor (1%) fraction of all apoptotic lung cells, whereas T cells represent the majority (80 to 90%) of apoptotic cells on days 7, 14, and 21 after intranasal inoculation with H. ohiense strain G217B (43). Although a minor relative proportion of all apoptotic lung cells were Mac-1+ macrophages in that study, it is possible that a significant internal fraction of the macrophage population was apoptotic, but those data were not reported. Indeed, English et al. found that 3 days after inoculation with 105 H. ohiense (G217B), approximately 20 to 30% of alveolar macrophages are apoptotic, and this was significantly reduced in mice that lacked the proapoptotic gene CHOP (44). It is not clear whether that result was due to direct intracellular infection in vivo, but it is consistent with our data suggesting that a proportion of alveolar macrophages were depleted in response to H. ohiense.
It is possible that the selective loss of alveolar macrophages in the lungs of H. ohiense-infected mice was an indirect result of the inflammatory milieu. Our findings are in agreement with Deepe et al., who posit that Histoplasma infection promotes a bystander effect in which uninfected macrophages undergo apoptosis, since only a minor proportion (∼10%) of apoptotic cells are directly infected (20). Bystander macrophage apoptosis was originally proposed by Kelly et al. in the context of Mycobacterium tuberculosis infection to explain how uninfected cells undergo cell death after contact with infected cells in a tumor necrosis factor alpha (TNF-α) and transforming growth factor β (TGF-β)-independent manner (45). We propose that the presence of heavily infected macrophage-like cells 8 days after H. ohiense infection (Fig. 3A) contributed to the loss of alveolar macrophages 12 to 16 days postinfection by either the aforementioned bystander effect or perhaps due to the elevated proinflammatory lung environment (Fig. 2F). Indeed, significantly higher concentrations of IL-1β were detected in the lungs of H. ohiense- but not H. capsulatum-infected mice (Fig. 7E). Moreover, the peak concentration of IL-1β in the lungs of H. ohiense-infected mice immediately preceded the time point when the fewest alveolar macrophages were recovered. This is consistent with the finding that IL-1β is associated with alveolar macrophage sensitization and cell death in the context of lung inflammation (46). Therefore, it is possible that the subsequent loss of alveolar macrophages was an indirect effect of the intensified rate and extent of inflammation during H. ohiense infection.
The outer layer of the Histoplasma cell wall is considered to be a primary virulence determinant of nearly all Histoplasma species, including H. capsulatum (15), in which α-(1,3)-glucan masks the underlying β-(1,3)-glucan from being recognized by the C-type lectin pattern recognition receptor Dectin-1 (47). In contrast, α-(1,3)-glucan is not detected in the cell wall of H. ohiense and is not considered to be required for virulence in vitro or in vivo in this species (48). H. ohiense diminishes Dectin-1-mediated recognition by the secretion of two major β-glucanases that promote virulence in vivo (49, 50). Despite this immune evasion strategy, the Wu-Hsieh group showed that Histoplasma with exposed surface β-(1,3)-glucan stimulates macrophage cytokine production via Dectin-1 (51, 52). Additionally, Dectin-2 and Dectin-1 signaling lead to pro-IL-1β expression and cathepsin B release to promote the NLRP3 inflammasome and IL-1β release (53). Indeed, IL-1β was upregulated 7 days after inoculation with 105 Histoplasma strain 505 (53), which is an isolate with exposed β-(1,3)-glucan (52). Alveolar macrophages are known to express high levels of Dectin-1 (54), and accordingly, we observed a significantly greater activation of alveolar macrophages isolated from the lungs of mice inoculated with H. ohiense relative to H. capsulatum. Thus, the distinct host inflammatory patterns we observed in response to H. capsulatum and H. ohiense were likely attributed at least in part to differences in innate immune recognition of β-(1,3)-glucan and corresponding signaling events by mononuclear phagocytes.
The timing of H. ohiense-induced inflammation characterized in this study using a dose of only 2,500 yeasts was similar to studies that have used significantly higher doses. Baughman et al. reported that intranasal inoculation with 105 H. ohiense strain G217B leads to a significant elevation of neutrophils in bronchoalveolar lavage fluid 7 days after infection relative to control mice (55), which is consistent with our results using H. ohiense. Cain and Deepe analyzed the progression of disease up to 14 days after inoculation with 106 H. ohiense and showed that the percentage of Mac-1+ and Gr-1+ lung cells (which would include both neutrophils and Ly6Chi monocytes) peak 7 days after infection (56). Additionally, Deepe et al. that showed H. ohiense infection is associated with a robust neutrophilic response relative to H. capsulatum after inoculation with 106 CFU (20). Thus, we corroborated the immunological findings by Deepe et al. and demonstrated that H. ohiense was associated with a significantly greater neutrophilic response even in the context of similar fungal lung burdens relative to H. capsulatum using a low, sublethal inoculum.
Interestingly, in regard to fungal clearance, we observed similar numbers of yeasts localized within inflammatory foci (Fig. 3C), but significantly different fungus-associated cell types between Histoplasma species 16 days after inoculation (Fig. 4C). H. capsulatum was primarily associated with interstitial macrophages and Ly6Clo monocytes, whereas H. ohiense was found with inflammatory monocytes and neutrophils (Fig. 4C). Both classically activated macrophages and neutrophils restrict the intracellular growth of Histoplasma (57–59). This suggests that H. capsulatum might be effectively cleared by activated tissue-resident phagocytes, while H. ohiense is primarily controlled by inflammatory cell types that are specifically recruited to the lung during infection. It would be interesting to investigate in future studies whether diverse Histoplasma species are associated with either preferential uptake or intracellular survival in specific monocyte and macrophage subsets.
The murine model of acute pulmonary histoplasmosis characterized in this study provides insight into the pathogenic strategies utilized by diverse Histoplasma species. The use of a low, sublethal inoculum did not elicit host inflammatory responses until at least 4 days after inoculation, despite significant fungal growth during this time period (19). This unique feature allowed us to probe the differential progression of inflammation and immune cell dynamics that occurred as a result of natural fungal proliferation in the lung, as opposed to initial inoculation with a relatively high number of yeasts. H. capsulatum G186A and H. ohiense G217B are the most commonly studied strains in the Histoplasma literature, representing the two distinct cell wall phenotypes found in all strains/species of Histoplasma. Therefore, these results provide a foundation for future studies to assess additional species-specific differences. Interestingly, because intranasal inoculation with this relatively low dose still resulted in systemic fungal spread (unpublished data), this model could also be utilized to investigate virulence determinants related to disseminated forms of histoplasmosis.
MATERIALS AND METHODS
Fungi and culture methods.
Histoplasma capsulatum (Panama/H81, G186A isolate, ATCC 26029) and Histoplasma ohiense (Nam 2, G217B isolate, ATCC 26032) were used in this study (13). The following strains that constitutively expressed gfp during the yeast phase were also used: H. capsulatum G186A ura5-31 zzz::[PCBP1-gfp hph] and H. ohiense G217B ura5-41 zzz::[PCBP1-gfp hph]. The following isogenic strains were used as negative controls: H. capsulatum G186A ura5-31 and H. ohiense G217B ura5-41. All four of the control and gfp-expressing strains listed above were transformed with pCR25 (PaURA5) to complement uracil auxotrophy, and the methods used to generate these strains were described previously (60, 61). All strains listed above were routinely cultured at 37°C in 5% CO2 in Histoplasma macrophage medium (HMM) liquid broth or agarose plates with 0.6% agarose and 25 mM FeSO4 (62). To obtain dispersed yeast suspensions for in vivo and in vitro inocula, a series of low-speed centrifugation steps were performed to remove yeast aggregates, and individual yeasts were counted using a hemocytometer as described previously (19). Last, to generate fungal growth curves in mammalian cell culture media, log-phase 5-ml HMM broth cultures were back-diluted into 25-ml complete Dulbecco modified Eagle medium (DMEM) with l-cystine after being standardized to a starting optical density at 600 nm (OD600) of 0.05 and incubated in an orbital shaker at 120 rpm at 37°C with CO2. Optical densities were recorded every 24 h.
Murine model of acute pulmonary histoplasmosis.
Male C57BL/6J mice (4 to 6 weeks old; Jackson Laboratory) were sedated using a combination of ketamine and xylazine before being inoculated intranasally with 20 μl of Histoplasma yeasts (2.5 × 103 CFU) in HMM, which was described previously as a low, sublethal dose (19). Mock-infected mice were inoculated with 20 μl of HMM. At various time points after inoculation, mice were euthanized with a lethal dose of sodium pentobarbital and the whole lung was collected for histology, digested into a single-cell suspension, or homogenized for cytokine analyses. These studies were approved by the University of North Carolina Office of Animal Care & Use.
Tissue processing.
The lung was perfused by injection of 10 ml cold phosphate-buffered saline (PBS) into the right ventricle of the heart prior to being collected for either histology or flow cytometry. For histology, lungs were inflated with 10% buffered formalin solution by cannulation of the trachea and then incubated for at least 48 h before being washed with PBS and embedded in paraffin. Three 5-μm-thick lung sections separated by 200-μm skips were collected per mouse and were subjected to either hematoxylin and eosin (H&E) staining or immunohistochemistry.
To generate single-cell suspensions for flow cytometry, the lung was enzymatically digested using an approach modified from Yu et al. to improve cell yields and avoid cell loss/damage associated with mechanical dissociation (24), which was described previously in detail involving collagenase and dispase (63). Briefly, lungs were inflated via tracheal cannulation with 1 ml digestion buffer, the trachea was closed with a suture, and then the whole lung was incubated for 45 min at 37°C before being vortexed in a 30-ml total volume to dissociate the partially digested tissue into a single-cell suspension (63). Next, lung cells were subjected to red blood cell lysis using ACK buffer, washed with cold flow cytometry staining buffer (see recipe below) by centrifugation (300 × g for 6 min), filtered through a 70-μm cell strainer, and then kept on ice.
Histopathology.
The workflow used to quantify the size and number of consolidated lung regions is described in Fig. S1. Bright-field images of H&E-stained lung sections were acquired using a 4× Olympus Plan Fluorite objective (0.13 numerical aperture) in an overlapping, tile-scanning manner, and the resulting fields were merged automatically in Adobe Photoshop using the Photomerge tool. Consolidated airways and inflammatory foci were traced in a semi-unbiased manner using the magic wand tool, which preferentially outlined the area of each lesion based on pixel tone and color relative to normal lung tissue. ImageJ was used to quantify whole-lung area using the traditional threshold tool, whereas the area of traced inflammatory foci was determined using the color threshold tool after filling in the outlined individual foci. The proportion of each lung section associated with inflamed regions was calculated by dividing the combined area of the inflamed regions by the total lung area. A single 4× field from one of the six tissue sections analyzed per group was previously published as a descriptive, representative image (19).
Immunohistochemistry.
Five-micron-thick lung sections were deparaffinized using xylene followed by a graded alcohol-based series of rehydration steps (100% ethanol [EtOH], 95% EtOH, and 80% EtOH) followed by distilled water. Antigen retrieval was performed by boiling slides in citrate-based solution (10 mM sodium citrate, 0.05% Tween 20 [pH 6.0]) for 20 min. Slides were washed in TBS-T (Tris-buffered saline with 0.1% Tween 20), blocked using normal goat serum from a Vectastain ABC rabbit IgG kit (Vector Laboratories) for 30 min at room temperature, and then washed again in TBS-T. Next, slides were incubated with the primary antibody (rabbit anti-GFP [EPR14104], Abcam, 1:100 dilution) at 4°C overnight in a humidity chamber. The next morning, slides were washed multiple times in TBS-T, and endogenous peroxidase activity was blocked using 3% hydrogen peroxide in water for 10 min at room temperature. After additional washes with TBS-T, the primary antibody was detected using SignalStain Boost IHC Detection Reagent HRP Rabbit (catalog no. 8114; Cell Signaling Technology) for 30 min at room temperature. Multiple washes with TBS-T were performed prior to incubating sections in freshly prepared diaminobenzidine (DAB) substrate (ab64238, Abcam) for 2 min followed by additional wash steps, and then hematoxylin counterstaining for 90 s. Slides were dehydrated using a graded alcohol series (50% EtOH, 70% EtOH, and 100% EtOH) followed by xylene, and Permount (Fisher Scientific) was used to mount glass coverslips. Slides were scanned using the 40× objective of an Aperio Versa 200 (Leica Biosystems) pathology scanner in the Translational Pathology Laboratory in the University of North Caroling (UNC) School of Medicine. Aperio ImageScope v12 software was used to quantify yeasts with the counting tool, and the pen tool was used to measure the area of inflammatory lesions.
Flow cytometry of lung cells.
Three milliliters (∼1 × 106 cells) of each lung single-cell suspension (10% of total recovered cells) was subjected to fluorescence-conjugated antibody staining. Cells were washed in flow cytometry staining buffer (Ca2+/Mg2+-free PBS containing 5% fetal bovine serum [FBS] and 2 mM EDTA) and then incubated with a fixable live/dead viability dye (Zombie Red; BioLegend) for 15 min at room temperature. Next, cells were washed with cold buffer and Fc receptors were blocked by incubation with anti-mouse CD16/32 (clone 93, BioLegend) on ice for 5 min, followed by a 30-min incubation on ice with a cocktail of titrated, primary-conjugated fluorescent antibodies from BioLegend (fluorescein isothiocyanate [FITC]-Ly6C [HK1.4], Brilliant Violet 510-Ly6G [1A8], phycoerythrin-CD11c [N418], allophycocyanin-CD11b [M1/70], Brilliant Violet 711-I-A/I-E [M5/114.15.2], Brilliant Violet 421-CD64 [X54-5/7.1]) and the following from Invitrogen; allophycocyanin-eFluor780-CD45 (30-F11), peridinin chlorophyll protein (PerCP)-eFluor 710-Siglec F (1RNM44N), and phycoerythrin-Cyanine7-CD24 (M1/69). For gfp-expressing yeast studies, the following antibodies from BioLegend were used to account for the detection of GFP in the FITC channel; phycoerythrin-Ly6C (HK1.4) and Brilliant Violet 605-CD11c (N418). Last, cells were washed twice with cold staining buffer, fixed with 0.5 ml of 2% buffered formalin for 20 min, resuspended in 250 μl staining buffer, and acquired using a Thermo Fisher Attune NxT cytometer. All flow cytometry files were analyzed using FlowJo software v10.
The panel of antibodies listed above was derived from multiple schemes to phenotype immune cell populations with a focus on the myeloid compartment in both healthy and inflamed lungs of mice (23, 24). The workflow used to discriminate distinct cell populations using the t-distributed stochastic neighbor embedding (tSNE) algorithm in FlowJo software is described in Fig. S2A. Manual gating was performed to exclude doublets/aggregates followed by gating live CD45+ lung cells, which were downsampled to an equal number of events per sample before concatenating all files together at each time point (Fig. S2A). The unsupervised tSNE algorithm created two new derived parameters based on expression patterns of the surface antigens listed above, and after optimizing input parameters (iterations, 800; perplexity, 30), all events were reduced into one two-dimensional space to reveal uniquely clustered events. To identify and confirm the identity of the clusters that were segregated in an unbiased manner, we used a sequential gating scheme to phenotype all CD45+ cells (Fig. S2B), as well as the tSNE heat maps that displayed the relative expression levels of each antigen (Fig. S2C). To visualize all cell subsets within the two tSNE-derived parameters, we overlaid the gated populations onto the tSNE plots and then backgated to compare experimental groups. In the manual gating scheme, fluorescence-minus-one samples were employed as negative gating controls, particularly with CD11c, CD64, major histocompatibility complex class II (MHC-II), and CD24. To determine which lung cells were associated with gfp-expressing yeast, lung cells isolated from mice inoculated with control Histoplasma strains were used to define the threshold of GFP positivity for each cell population.
Quantitative imaging flow cytometry of infected AMJ2-C11.
The murine alveolar macrophage cell line AMJ2-C11 was purchased from ATCC and cultured in DMEM (Gibco) with 4.5 g/liter d-glucose, 110 mg/liter sodium pyruvate, l-glutamine, 5 mM HEPES, 5% FBS (HyClone), in addition to 84 mg/liter l-cystine to support fungal growth. For infection assays, the wells of 24-well plates were seeded with 2.5 × 105 cells per well in 1 ml media for infection assays and incubated at least 1 h prior to inoculation with 1.25 × 105 to 2.5 × 105 Histoplasma yeasts in 50 μl HMM. One hour after infection, extracellular yeasts were removed using prewarmed PBS and three wash steps in a swinging-bucket centrifuge rotor at 300 × g for 5 min each. Cells were cultured in 1 ml complete DMEM for 1 to 3 days, with half of the media being replaced after 48 h for the 72-h time point. At each time point, cells were gently removed using prewarmed PBS with 0.6 mM EDTA and pooled into 5-ml round-bottom tubes prior to being incubated with a fixable live/dead viability dye (Zombie NIR; BioLegend) for 15 min at room temperature. Last, cells were washed twice with cold staining buffer, fixed with 0.5 ml 2% buffered formalin for 20 min, and then transferred into 1.5-ml microcentrifuge tubes prior to being analyzed using an Amnis ImageStreamX Mark II. Ten thousand focused events were acquired per sample using the 40× objective along with the following channels: 1, bright-field; 2, gfp-expressing yeasts; 6, side scatter (SSC); 9, bright-field; 12, viability dye. Negative gating thresholds were determined using uninfected AMJ2-C11 cells, and the channel 2 laser intensity was set using yeasts alone. Using Amnis IDEAS application v6.2, we first confirmed that the GFP signal associated with each cell was intracellular and not surface bound, which was reflected by a positive internalization score (typically a median of 4 to 5). All files were acquired with the same target intensities and batched using the same mask features and truth populations in the Spot Count feature to standardize the quantification of intracellular yeasts.
Cytokine analysis.
The whole lung was collected in a 50-ml conical tube, homogenized in 5 ml cold HMM, and then immediately spiked with protease inhibitor cocktail (1:100, Calbiochem) after being transferred to microcentrifuge tubes. Samples were centrifuged at 16,000 × g for 20 min at 4°C, and supernatants were stored at –80°C prior to analysis. Supernatants were thawed on ice and diluted twofold in assay buffer for use in multianalyte flow cytometry-based LEGENDplex kits (BioLegend) in a V-bottom 96-well plate. Data were acquired and analyzed according to the manufacturer’s instructions.
Statistical analyses.
Statistical inferences were determined using analyses in GraphPad Prism version 8.3. Specific tests that were performed are listed in the figure legend associated with each data set along with the P value designation.
ACKNOWLEDGMENTS
We thank Kara Eichelberger for thoughtful experimental and editorial comments during the preparation of the manuscript. We thank Bentley R. Midkiff in the Translational Pathology Laboratory (TPL) for technical assistance.
This work was supported in part by the NIH under award numbers AI052080 (Tri-Institutional Molecular Mycology and Pathogenesis Training Program) to G.S.J. and AI121462 to W.E.G. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The UNC TPL is supported in part by grants from NCI (5P30CA016080-42), NIH (U54-CA156733), NIEHS (3P30 EOS010126-17), UCRF, and NCBT (2015-IDG-1007). The UNC Flow Cytometry Core Facility is supported in part by P30 CA016086 Cancer Center Core Support Grant to the UNC Lineberger Comprehensive Cancer Center, the North Carolina Biotech Center Institutional Support Grant 2017-IDG-1025, the National Institutes of Health 1UM2AI30836-01, and the Office of the Director, National Institutes of Health under award number 1 S10 OD017984-01A1.
G.S.J. and W.E.G. conceived the study. G.S.J. and V.E.S. were responsible for the methodology and investigations. G.S.J. wrote the original draft. G.S.J., V.E.S., and W.E.G. reviewed and edited the manuscript. G.S.J. and W.E.G. acquired funding. W.E.G. supervised the study.
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