Significance
Tissues exposed to the environment are sites of exposure to symbiotic microbes including fungi that are continuously sensed by the immune system. Here, we show that immunity to commensal skin fungi can significantly aggravate tissue inflammation. Enhanced pathology caused by fungi preexposure depends on lymphocytes able to produce the cytokine IL-17 and the formation of extracellular traps by neutrophils. We also found that fungal exposure prior to experimental modeling of psoriasis recapitulates features of the transcriptional landscape of human lesional psoriatic skin. Together, our results propose that recall responses directed to skin fungi can directly promote skin inflammation and that exploration of tissue inflammation should be assessed in the context of recall responses to the microbiota.
Keywords: skin, psoriasis, fungi, microbiota, Th17
Abstract
Under steady-state conditions, the immune system is poised to sense and respond to the microbiota. As such, immunity to the microbiota, including T cell responses, is expected to precede any inflammatory trigger. How this pool of preformed microbiota-specific T cells contributes to tissue pathologies remains unclear. Here, using an experimental model of psoriasis, we show that recall responses to commensal skin fungi can significantly aggravate tissue inflammation. Enhanced pathology caused by fungi preexposure depends on Th17 responses and neutrophil extracellular traps and recapitulates features of the transcriptional landscape of human lesional psoriatic skin. Together, our results propose that recall responses directed to skin fungi can directly promote skin inflammation and that exploration of tissue inflammation should be assessed in the context of recall responses to the microbiota.
Tissues exposed to the environment are primary sites of exposure to symbiotic microbes. These microbes not only contribute to the development and function of the immune system but are also continuously sensed by the immune system (1). The result of this dialogue is the induction of cognate, noninflammatory B and T cell responses that control various aspects of tissue function (2–5). The contribution of this pool of preformed microbiota-reactive T cells to the etiology of inflammatory disorders and particularly to those occurring in tissues colonized by the microbiota remains unclear.
Previous work revealed that the homeostatic dialogue between the host and its microbiota can be threatened in the context of inflammatory disorders, defined genetic predispositions, or infections (6–8). For instance, in humans, aberrant reactivity to the microbiota has been documented in the context of several diseases including inflammatory bowel disease and, in mice, immune responses to defined members of the gut microbiota can enhance both local and systemic inflammatory responses (9, 10). However, in most settings, it remains unclear to which extent aberrant immunity to the microbiota occurs as a bystander of inflammatory processes as opposed to as a driver and/or amplifier of disease states.
As for all barrier sites, the skin is tightly controlled by its resident microbes (11). These microbes promote the induction of homeostatic immune responses dominated by the accumulation of IL-17A-producing T cells (11–13). While IL-17A can promote tissue homeostasis and antimicrobial defense (14), this cytokine is also a major player in the etiology of skin inflammatory disorders including psoriasis (15, 16). Psoriatic flares have been associated with skin microbiota alterations (17–19) and experimental evidence supports a role for the microbiota in the etiology of this disorder (20, 21). However, psoriasis is not associated with a defined microbial signature supporting the idea that canonical microbes able to engage type-17 responses, rather than specific members of the microbiota, may contribute to the induction and/or amplification of this inflammatory disorder (22).
Fungi are potent inducers of type-17 polarized responses, a class of immunity that is fundamental to their containment (23). Skin fungi are also constitutive members of the skin microbiome (24, 25). While recent evidence linked this class of microbes to the control of gut and lung immunity (26), a role for commensal fungi in skin homeostasis and disease etiologies remains unclear. In support of a potential link between the fungal microbiome and disease etiology, lesional skin of psoriasis patients is characterized by an altered fungal microbiome compared to healthy controls (27–32). Further, characterization of the skin fungal flora of psoriatic patients also revealed an enrichment in Candida species (27–33) and defined psoriatic patients can positively respond to antifungals (34). Of particular interest, a large fraction of circulating Th17 clones in humans have been shown to be reactive to fungal antigens and in particular are specific for Candida albicans (35) and a recent study revealed that, in humans, fungi-specific Th17 cells can cross-react to antigens expressed by diverse fungi and expand in patients with airway inflammation (36).
In the present study, we hypothesized that preexisting type-17 immunity to canonical fungal microbes could contribute to the etiology of skin inflammatory disorders. Our results reveal that mobilization of preformed fungal-specific T cells to inflammatory sites can significantly aggravate tissue pathology in a Th17-dependent and neutrophil extracellular traps-dependent manner. Further, fungal preexposure prior to treatment with imiquimod (IMQ) recapitulates the transcriptional landscape of human lesional psoriatic skin more closely than the well-established model of imiquimod-induced psoriasis. Together, these results propose that recall responses directed to skin fungi can directly promote skin inflammation and provide a model of experimental psoriasis with translational relevance.
Results
Fungal Skin Colonization Drives a Polarized IL-17A+ T Cell Response and Exacerbates Psoriasis-like Skin Inflammation.
How commensal fungi are sensed by the skin immune system under steady-state conditions has not been addressed. Using our previously described model of skin association (3), we topically applied skin fungi including C. albicans, Malassezia furfur, and Trichophyton mentagrophytes. As we previously showed for bacterial commensals (3, 37) topical application of commensal fungi was not associated with tissue inflammation as evidenced by a lack of skin thickening, inflammatory cell recruitment, erythema, or hyperkeratosis (SI Appendix, Fig. S1 B–D). Despite the lack of inflammation, C. albicans and M. furfur enhanced CD4+ T cells recruitment within the skin and the three fungi promoted the accumulation of IL-17A-producing CD4+ T cells (Th17) (Fig. 1 A and B and SI Appendix, Fig. S1E). C. albicans and M. furfur also induced a significant increase of CD8+ T cells within the skin with enhanced accumulation of IL-17A-producing CD8+ T cells (Tc17) for the three fungi tested (Fig. 1A). M. furfur also promoted a significant accumulation of IL-17A-producing γδ T cells within the skin compartment (Fig. 1A). This was in contrast to intradermal injection of C. albicans, which led to strong skin inflammation and mixed polarized responses dominated by Th1 (SI Appendix, Fig. S1F). Thus, cutaneous colonization with commensal skin fungi is associated with the induction of highly polarized noninflammatory type-17 skin immune responses.
Based on the clinical association between IL-17A and psoriasis etiology (38), we next assessed to which extent the preexistence of commensal fungi-induced type-17 responses could impact skin inflammation. To this end, we utilized the experimental model of psoriasis associated with the topical application of IMQ, a TLR7 (and TLR8 in humans) agonist. This regimen promotes a psoriasis-like skin inflammation, mediated by the IL-23/IL-17 axis (39, 40). Using this model, we found that preexposure to each of the skin fungi significantly exacerbated skin inflammatory response to IMQ compared to IMQ alone (Fig. 1C).
To gain mechanistic insights into the enhanced pathology associated with fungi preexposure, we next focused on C. albicans because of its genetic tractability. Following C. albicans association, fungi stably colonize the skin and are maintained at low colony forming units (CFUs) for months postassociation (SI Appendix, Fig. S1A). Increased pathology in mice associated with C. albicans prior to IMQ treatment was characterized by enhanced hyperplastic epidermis, acanthosis, spongiosis, hyperkeratosis, and enhanced inflammatory infiltrate compared to IMQ treatment alone and was not associated with significant changes in skin fungal load (Fig. 1D and SI Appendix, Fig. S1 A and G). On the other hand, the frequencies and absolute numbers of type-17 (IL-17A- and RORγt-expressing) CD4+ (but not Treg) cells were significantly increased in mice exposed to C. albicans before IMQ treatment compared to all of the other groups (Fig. 1 E and F and SI Appendix, Fig. S1H). Increase in Th17 cell accumulation and enhanced IMQ-induced pathology were observed with several strains of C. albicans (SI Appendix, Fig. S1I) and persisted for at least up to 2 mo postinitial colonization (Fig. 1G).
We next assessed if the impact of C. albicans was direct or dependent on C. albicans-induced alteration in the endogenous microbial community. As previously shown, mice raised in absence of live microbes (germ free [GF]) have reduced numbers of IL-17A-producing T cells within the skin (3). C. albicans association prior to treatment with IMQ significantly enhanced tissue inflammation and Th17 cell responses as compared to IMQ treatment alone in GF mice (Fig. 1H). Thus, the impact of C. albicans on IMQ-induced inflammation can occur in the absence of other skin microbes.
While C. albicans is a normal constituent of the microbiome (41), this microbe can also cause active infection. As such, we next assessed if the impact of C. albicans on IMQ-induced inflammation resulted from an active infection caused by barrier disruption or from skin colonization. C. albicans is a dimorphic fungus, with a yeast form able to colonize the stratum corneum, and a pathogenic hyphal form able to invade the dermis and systemic organs (42). Periodic acid Schiff (PAS) staining revealed that C. albicans remained in its yeast form localized on the stratum corneum in the context of IMQ-induced inflammation (SI Appendix, Fig. S1J). Further, a yeast-locked hgc1Δ strain of C. albicans, which cannot make the transition from the yeast to the hyphal form (43), was also able to exacerbate IMQ-induced psoriasis-like dermatitis (Fig. 1I). Thus, C. albicans exacerbated IMQ-induced skin inflammation was not associated with active infection but resulted from skin colonization.
Enhanced Pathology Caused by Fungal Preexposure Recapitulates the Transcriptional Landscape of Human Lesional Psoriatic Skin.
To compare tissue responses to C. albicans, C. albicans prior to IMQ, and IMQ alone, we performed whole-tissue RNA sequencing (RNA-seq) in biological replicates (SI Appendix, Fig. S2A). No differences were observed in gene expression from naïve control versus C. albicans-associated skin confirming that C. albicans association alone was noninflammatory (Figs. 1D and 2A and SI Appendix, Fig. S2B).
On the other hand and as previously described (40), IMQ treatment had a profound impact on the skin transcriptional profile, with about 1,500 genes differentially expressed between naïve tissue and tissue treated with IMQ (fold change [FC] > 2, false discovery rate [FDR] < 5%) (SI Appendix, Fig. S2C). Association with C. albicans prior to IMQ treatment induced a more pronounced change in gene expression with about 3,000 genes differentially expressed between naïve and C. albicans/IMQ-treated skin (FC > 2, FDR < 5%) (SI Appendix, Fig. S2 D and E).
In order to gain insights into potential pathways associated with enhanced pathology in C. albicans/IMQ as compared to IMQ alone, we performed gene ontology (GO) enrichment analysis. Both treatments showed similar enrichment of functional annotations as compared to naïve control tissue with cell cycle being the most enriched term followed by inflammatory response, keratinization, neutrophil migration/degranulation, and leukocyte chemotaxis (Fig. 2B). We observed higher significance for all terms in the C. albicans/IMQ-treated sample as compared to IMQ alone. This analysis supports the idea that C. albicans association prior to IMQ enhanced tissue inflammation (compared to IMQ alone) but does not impact the overall transcriptional signature of the response.
To assess the potential relevance of our experimental approach to human psoriasis, we performed Ingenuity Pathway Analysis (IPA) disease term enrichment on genes differentially regulated in IMQ or C. albicans/IMQ-treated samples versus naïve control tissues. Notably, we found significant enrichment for dermatological diseases and conditions in both IMQ and C. albicans/IMQ-treated samples with C. albicans/IMQ showing a higher enrichment (Fig. 2C). Of note, psoriasis was the most activated term in dermatological diseases and conditions with C. albicans/IMQ showing higher activation (Fig. 2D). This further confirmed that pretreatment with C. albicans exacerbates the inflammatory response without altering the quality of the response.
We next downloaded a list of 209 genes that were differentially expressed between lesional and uninvolved skin at the mRNA level and protein level in human patients with psoriasis (44) and overlaid these genes (153 up-regulated in lesional skin versus healthy skin, 56 down-regulated) with our list of mouse genes from whole tissue. This resulted in 177 shared genes. Gene clustering by similarity shows that C. albicans/IMQ-treated samples cluster closer and more robustly with samples from human skin lesion than whole-tissue mouse samples treated with IMQ alone (Fig. 2E). To further validate this finding, we downloaded RNA-seq data from 92 psoriatic and 82 normal human punch biopsies (45) and overlaid these data with our mouse samples, resulting in 2,658 common genes. Clustering the data by similarity of gene expression profile confirmed our previous analysis and showed a more robust clustering of C. albicans/IMQ-treated samples with human lesional psoriatic skin (SI Appendix, Fig. S2F).
Thus, exposure of mouse skin to C. albicans prior to IMQ treatment led to increased pathology associated with a tissue signature that closely recapitulates the transcriptional landscape of human lesional psoriatic skin.
C. albicans-Associated Experimental Psoriasis Is Characterized by Enhanced Neutrophil Response and NET-Mediated Pathology.
Psoriatic lesions are characterized by neutrophil infiltrates, with spongiform pustules in the stratum spinosum and Munro’s micro abscesses in the stratum corneum (46). In agreement with whole-tissue responses, preexposure to C. albicans in IMQ-treated mice significantly increased neutrophil infiltration compared to IMQ alone (Fig. 3A). A significant increase in inflammatory monocytes was also observed in tissue from C. albicans/IMQ treatment compared to C. albicans (SI Appendix, Fig. S3A). On the other hand, no differences were detected in the number of eosinophils, mast cells, or basophils compared to mice treated with IMQ alone (SI Appendix, Fig. S3B).
Enhanced activation of neutrophils in particular in the context of fungal exposure has been shown to be associated with the formation of neutrophil extracellular traps (NETs) (47, 48). NETosis is a defined process of cell death where neutrophils extrude DNA which extends into web-like threads (49). Electron microscopy imaging of C. albicans-exacerbated inflamed skin revealed web-like structures compatible with NETs at the surface of the epidermis in C. albicans/IMQ mice (Fig. 3B). To further confirm enhanced NETosis, we quantified histone H3 citrullination using confocal microscopy. NETosis is typically associated with activation of peptidylarginine deiminase 4 (PAD4)—a nuclear enzyme that is primarily expressed in neutrophils—which leads to histone H3 citrullination and chromatin decondensation (50). Imaging of whole ear pinnae revealed that IMQ (but not C. albicans alone) induced histone H3 citrullination (Fig. 3C). Notably, H3 citrullination was significantly increased in mice associated with C. albicans prior to IMQ treatment compared to IMQ alone (Fig. 3 C and D and SI Appendix, Fig. S3 C and D). These results support the idea that in the context of IMQ, previous skin colonization with a commensal fungus can promote aberrant neutrophil activation/death.
Enhanced NETs formation in the peripheral blood of psoriasis patients has been shown to correlate with psoriasis disease severity (51, 52). To test the possibility that enhanced NETosis may contribute to enhanced inflammation caused by C. albicans preexposure, mice were treated with DNase, an approach previously used to dismantle NETs (47). While DNase treatment had no significant impact on the pathogenesis of IMQ alone, this treatment significantly reduced inflammation induced by C. albicans prior to IMQ (Fig. 3E). Thus, exposure to fungi prior to IMQ can promote a feature of human psoriasis namely enhanced neutrophil activation and enhanced NETosis. These results support the idea that impacting NETs formation may have therapeutic value in defined psoriatic settings.
Enhanced Pathology Induced by Preexposure to Skin Fungi Is Dectin-1/Langerhans Cell Dependent.
Previous work demonstrated that infection with the yeast form of C. albicans induced Th17 cell responses in a Langerhans cell (LC)-dependent manner (53, 54). Consistently, we found that Th17 responses following topical association with C. albicans were abolished in mice deficient in LCs (Lan-DTA) compared to wild-type control mice (Fig. 4A). In addition, C. albicans was no longer able to enhance the inflammation and neutrophil recruitment, as well as the accumulation of Th17 cells induced by IMQ in mice deficient in LCs (Fig. 4 B, C, and F). In contrast C. albicans still promoted inflammation and cellular infiltrates in IMQ-treated mice lacking dermal dendritic cells (DCs) (Batf3−/− or Irf4fl/fl × Itgaxcre+) (Fig. 4 C–F).
The fungi-responsive C-type lectin receptors (CLRs) play a central role in fungal detection during infection (55, 56). Notably, the CLR Dectin-1 (encoded by the Clec7a gene in mice) has been previously shown to recognize C. albicans yeast cells but not hyphae through binding to surface β-glucan (53). While C. albicans association did not alter the numbers and frequencies of the three main skin DC subsets (Fig. 4G), the intensity of Dectin-1 expression was significantly increased in LCs (but not in other DC subsets) from IMQ- and C. albicans/IMQ-treated mice (Fig. 4H). Further, enhanced inflammation associated with preexposure to C. albicans was abolished in mice deficient in Dectin-1 (Clec7a−/−) (Fig. 4I) and in mice deficient in the gene encoding its downstream adaptor molecule CARD9 (Fig. 4J). Thus, a Langerhans cell/Dectin-1 axis contributes to the enhanced Th17 cell responses and pathology associated with exposure to C. albicans prior to IMQ.
C. albicans/IMQ Promotes Tissue Inflammation in a Candida-Specific Th17/Langerhans Cell-Dependent Manner.
In humans, lesional skin is characterized by a dominant accumulation of Th17 cells with limited numbers of γδ T cells (57). In contrast, in mice, IMQ-induced inflammation is associated with γδ T cell accumulation and tissue pathology, and is Vγ4+TCRγδ+ cell dependent (58). In line with previous literature, γδ T cells were increased post-IMQ treatment (Fig. 5A). However, γδ T cells were not further increased by preexposure to C. albicans and enhanced pathology was still observed in Sox13-deficient mice [B6.SJL Cd45a(Ly5a)/Nai] that lack Vγ4+TCRγδ+ cells (Fig. 5 A and B). This pointed to a dominant role for Th17 cells in enhanced pathology associated with fungal preexposure.
To address the role of Th17 in enhanced pathology caused by C. albicans, we utilized mice deficient in RORγt in αβ T cells (Rorcfl/fl × Lckcre+/− mice). In these mice, and in contrast to controls, C. albicans did not enhance tissue inflammation (and neutrophil recruitment) provoked by IMQ (Fig. 5C). These results support the idea that in the context of fungal colonization, Th17 cells were the main mediator of enhanced pathology.
In order to gain better understanding of the status of activation of T cells induced by C. albicans/IMQ compared to T cells induced by C. albicans or IMQ alone, we sorted CD4+ T cells (TCRβ+CD4+CD90.2+Foxp3neg) from the skin and performed RNA-seq in biological replicates (Fig. 5D). Samples clustered based on treatment (SI Appendix, Fig. S4 A and B) with C. albicans-treated samples as the outlier. Notably, 450 genes were differentially expressed between C. albicans- and C. albicans/IMQ-treated samples (FC > 2, FDR < 5%) (SI Appendix, Fig. S4C) and only 75 genes were differentially expressed between samples treated with IMQ versus C. albicans/IMQ (FC > 2, FDR < 5%) (SI Appendix, Fig. S4D). Functional analysis showed significant enrichment for genes involved in positive regulation of the MAPK cascade (a pathway also enriched in human psoriasis) (59), hematopoietic cell lineage, inflammation, and cytokine–cytokine receptor interaction (Fig. 5E) in C. albicans/IMQ samples compared to IMQ alone.
We next performed IPA to assess which pathways were activated and inhibited in the pairwise comparison of the different conditions (Fig. 5F). Confirming previous analysis, the p38 MAPK signaling pathway was activated in T cells from C. albicans/IMQ-treated mice (Fig. 5F). Further, and in agreement with our observations, the most activated pathway in C. albicans/IMQ versus all other conditions was the Th17 pathway with significant up-regulation of Il17a, Il17f, Il22, and down-regulation of Il10 gene expression (Fig. 5 F and G). Notably, expression of genes associated with T cell regulation/exhaustion was generally down-regulated in C. albicans/IMQ compared to IMQ alone (SI Appendix, Fig. S4E).
We next assessed if Th17 cells recruited to the skin of C. albicans/IMQ-treated mice were enriched in C. albicans specificities (as opposed to bystander). To this end, we purified Th17 (CD45+CD90.2+CD4+Foxp3negCCR6+) cells from the regional lymph nodes (LNs) of mice preexposed to C. albicans/IMQ and cocultured them ex vivo with antigen-presenting cells (APCs) exposed to fungal antigens. Exposure of CD4+Foxp3negCCR6+ T cells to DCs loaded with C. albicans-derived antigens (heat-killed or C. albicans-conditioned medium) promoted IL-17A production supporting the idea that significant priming to C. albicans-derived antigens occurred under these settings (Fig. 5H). In vitro recall was abolished when DCs were deficient in major histocompatibility complex II (MHC-II) confirming that in our experimental settings, significant priming of Candida-specific T cells can be detected (Fig. 5H and SI Appendix, Fig. S4F). Of note, C. albicans association alone was also associated with the induction of IL-17-producing T cells within the regional LN but to a lower frequency than in mice associated with C. albicans prior to IMQ treatment (SI Appendix, Fig. S4G). Thus, these results support the idea that C. albicans association is sufficient to prime C. albicans-specific Th17 responses in a homeostatic way and that these responses can be amplified (and/or recalled) in the context of subsequent exposure to IMQ.
Altogether our results propose that recall responses to commensal skin fungi can significantly aggravate tissue inflammation. In our model, enhanced pathology caused by fungal preexposure depends on Th17 responses and neutrophil extracellular traps (SI Appendix, Fig. S5) and recapitulates features of the transcriptional landscape of human lesional psoriatic skin.
Discussion
Together, our results support the idea that adaptive immunity to skin fungi directly promotes skin inflammation and that preexposure to canonical commensal microbes can provide a model of experimental psoriasis with translational relevance. There is a growing appreciation that mouse models devoid of physiological microbial exposure may limit our ability to predict or model human homeostatic and disease settings (60–63). As such, development of mouse models that more closely reproduce human disease pathophysiology is of importance to our understanding of disease etiology and for the development of relevant preclinical models. In this context, we found that our experimental approach that takes into account preexposure to fungal microbiota allows a closer recapitulation of human psoriasis, namely, dependency on Th17 cells, enhanced neutrophils, keratinocyte activation, and NETs formation.
Our observation that fungal preexposure promotes IMQ pathology in a Th17-dependent manner as opposed to the traditional model that relies on γδ T cells is of particular relevance to human psoriasis that is dominated by Th17 but not γδ T cells (57). Further our model is in agreement with the known prevalence of fungal-specific type-17 immune responses in the human population (35). Of importance, fungi-specific Th17 cells have been shown to cross-react to antigens expressed by diverse fungi and to expand in patients with airway inflammation (36). As such fungal immunity may underly numerous type-17-dependent inflammatory processes across barrier sites colonized by the microbiota.
While much remains to be done to confirm our hypothesis in the context of clinical settings, a link between fungal colonization and psoriasis has been previously proposed. For instances, a high rate of concomitant fungal infections was found in psoriatic nail patients (64, 65) and enhanced Candida colonization was associated with more severe disease states (28). Further, Candida species detection rates for psoriatic patients have been shown to be significantly higher than in healthy individuals (29), especially in the oral mucosa (33, 66, 67). These observations together with our present data support the idea that fungal colonization and/or infection at various sites including the oral mucosa may predispose to psoriasis or amplify this disorder via systemic enrichment of fungal reactive Th17 cells.
Our specific model associated with fungal preexposure recapitulated a role for NETs in the physiopathology of experimental psoriasis that was not detected in the model of IMQ alone. While NETs have been shown to contribute to the clearance of extracellular pathogens and in particular fungi (49), NETs are also enhanced in the skin and blood of psoriatic patients and disease severity has been associated with heightened NETs formation (51, 52). As such, previous work proposed that NETosis, via plasmacytoid dendritic cells activation, could directly promote psoriasis initiation and exacerbation (52, 68–70). Our experimental work further supports the idea that the Th17/NETs axis, a response that has evolved as a mean to primarily constrain fungal infections, may play an important role in the pathophysiology of psoriasis. As such, local DNase treatment may represent a potential therapeutic avenue in defined psoriatic settings.
Together our results also support the idea that exploration of tissue immunity and pathologies needs to take into account the entwined relationship of the host with its microbiota and more particularly past and concomitant exposure to its resident microbes. Indeed, based on the large number of microbes colonizing all barrier surfaces, the majority of circulating and tissue resident memory/effector T cells are likely to be commensal specific. As such we could speculate that all inflammatory triggers that target microbiota-exposed tissues occur in the context of commensal-specific T cell recall responses. While our findings support the idea that fungal immunity may play an important role in tissue inflammation, we could propose that other canonical members of the skin microbiota able to promote type-17 responses could also contribute to this phenomenon. Development of tools allowing to track commensal-specific T cells in both experimental models and human tissues would allow further exploration of the contribution of commensal-specific immunity to disease etiology.
Experimental Procedures
Mice.
The following gender- and age-matched (6- to 16-wk-old) mice were used for experiments: specific pathogen free (SPF) and germ-free C57BL/6, B6.SJL Cd45a(Ly5a)/Nai (B6.SJL), C57BL/6NTac-[KO]Abb/B2m (MHCII−/−), B6.129P2(C)-Baft3tm1Kmm/J (Batf3−/−), B6.SJL-Cd45a(Ly5a)Nai-[KO]RAG1 (Rag1−/−), C57BL/6-[TgH]EGFP:Foxp3 (FoxP3-GFP reporter), B6.FVB-Tg(CD207-Dta)312Dhka/J (Lan-DTA), Irf4fl/fl × Itgaxcre+, Rorcfl/fl × Lckcre+, B6.129S6-Card9tm1Xlin/J (Card9−/−) and B6.129S6-Clec7atm1Gdb/J (Clec7a−/−). All experiments were performed at the National Institute of Allergy and Infectious Diseases (NIAID) under an animal study proposal approved by the NIAID Animal Care and Use Committee.
Imiquimod Induced Psoriasis-like Dermatitis.
Mice between 6 and 16 wk of age were treated daily for 5 consecutive days on each ear pinnae with 10 mg of 5% IMQ cream (Aldara Cream 5%; 3M Health Care). Ear thickness was measured before the first application, then daily during IMQ topical application and the day after the last topical application of IMQ with a digimatic caliper (Mitutoyo).
Topical Association and Intradermal Infection of Mice with Fungi Species.
Unless stated otherwise, a strain isolated from the ear pinnae of Il22 −/− mice was used for C. albicans. Other strains of fungi used were: the reference strain of C. albicans SC5314 (ATCC MYA-2876); a C. albicans strain isolated from human psoriatic skin (referred to as human C. albicans); a yeast-locked C. albicans (hgc1Δ) and its control strain hgc1Δ+HGC1+; M. furfur strain (ATCC 14521); and T. mentagrophytes strain (ATCC 18748). For topical association, mice were associated with fungi by applying fungal suspension (109 CFU/mL) using a sterile cotton swab. Application of fungal suspension was repeated every other day for 8 d. For intradermal infection, mice were injected with 107 CFU of C. albicans.
DNase Treatment.
Mice were intraperitoneally injected daily with 1,000 IU of DNase I from bovine pancreas (Sigma-Aldrich) resuspended in phosphate buffered saline (PBS) starting 2 d prior to the imiquimod treatment and during the whole duration of the imiquimod treatment.
Tissue Processing.
Mice were killed 14 d after the first topical application of C. albicans and/or the day after the last topical application of IMQ. Single-cell suspension from the skin draining lymph nodes or the ear pinnae were isolated as previously described (3).
In Vitro Restimulation.
To analyze basal cytokine potential, single-cell suspensions from various tissues were cultured directly ex vivo in a 96-well U-bottom plate in RPMI 1640 media supplemented with 10% fetal bovine serum (FBS), 2 mM l-glutamine, 1 mM sodium pyruvate and nonessential amino acids, 20 mM Hepes, 100 U/mL penicillin, 100 μg/mL streptomycin, 50 μM β-mercaptoethanol and stimulated with 50 ng/mL phorbol myristate acetate (PMA) (Sigma-Aldrich) and 5 μg/mL ionomycin (Sigma-Aldrich) in the presence of brefeldin A (GolgiPlug, BD Biosciences) diluted per manufacturer’s instructions for 2.5 h at 37 °C in 5% CO2. Following stimulation, cells were analyzed for intracellular cytokine production as described below.
Flow Cytometry.
Single-cell suspensions were first stained with fluorochrome-conjugated antibodies against surface markers for 20 to 30 min at 4 °C in PBS and then washed twice with cold PBS. LIVE/DEAD Fixable Blue Dead Cell Stain Kit (Invitrogen Life Technologies) was used to exclude dead cells. For intracellular staining, cells were fixed/permeabilized for 30 min, washed twice, and then stained intracellularly for at least 1 h using the Foxp3/transcription factor staining buffer set (Life Technologies eBioscience) and fluorochrome-conjugated antibodies against cytokines and transcription factors. Each staining was performed in the presence of purified anti-mouse CD16/32 (clone 93) and 0.2 mg/mL purified rat gamma globulin (Jackson Immunoresearch). Flow cytometric data were acquired on an LSR II or LSR Fortessa (BD Biosciences) and analyzed using FlowJo software (TreeStar).
Histology.
Mice were killed 19 d after first topical application of C. albicans or the day after the last topical application of IMQ. The ear pinnae from each mouse were removed and fixed in PBS containing 10% formalin. Paraffin-embedded sections were cut at 0.5 mm, stained with hematoxylin and eosin (H&E), and examined histologically. PAS staining was performed on ear pinnae following 10% formalin fixation. Histological scoring was performed as reported previously (71). Briefly, inflammation, neutrophils, mononuclear cells, edema, and epithelial hyperplasia were graded from 0 to 4 as follows: 0, no response; 1, minimal response; 2, mild response; 3, moderate response; and 4, marked response.
Microscopy of Ear Pinnae.
Scanning microscopy of the surface of the ear pinnae was performed using a ZEISS Crossbeam 540 scanning electron microscope. Confocal microscopy was performed as previously described (37). Ear pinnae images were captured on a Leica M205 stereomicroscope and analyzed using Imaris Bitplane software.
RNA-Seq Library Preparation.
Cells from ear pinnae were sorted on a BD FACS Aria (BD Biosciences). RNA was extracted using the Arcturus PicoPure RNA Isolation kit (Applied Biosystems) according to manufacturer’s instructions. For T cell RNA-seq, the Clontech SMARTer Ultra Low mRNA library preparation kit was used and samples were sequenced paired end on an Illumina HiSeq 4000. For whole-tissue RNA-seq, the RNeasy Fibrous Tissue Mini Kit (Qiagen) was used and samples were sequenced single-end on an Illumina NextSeq 500.
RNA-Seq Analysis.
RNA-seq samples were trimmed and subsequently mapped to the mm10 mouse genome with STAR (72) and quality control was performed with FastQC. Gene expression was assessed using HOMER’s analyzeRepeats with parameters rna, mm10, -count exons, -condenseGenes (73). Raw data are shown as transcripts per million (TPM). Principal component analysis (PCA) was done with R. Differential expression was calculated using DESeq2 (74). Genes were considered differentially expressed with FDR < 0.05 and FC > 2. Gene ontology analysis was done with metascape (75) or IPA (Qiagen). To overlay mouse genes with human genes, RefSeq gene identifier was used. Mouse data were normalized the same way as the published human dataset (fragments per kilobase per million [FPKM] or reads per kilobase per million [RPKM]). The Gene Expression Omnibus (GEO) database accession nos. for the human datasets overlaid with our murine datasets are GSE67785 (Fig. 2E) and GSE54456 (SI Appendix, Fig. S2F).
Dendritic Cell and T-Cell Coculture Assay.
Purified CD4+ (CD45+CD90.2+CD4+Foxp3negCCR6+) T cells were cocultured for 16 h at 37 °C in 5% CO2 with splenic CD11c+ dendritic cells left untreated or previously incubated with or without heat-killed C. albicans (C. albicans:SpDC ratio, 500:1) or C. albicans-conditioned medium. Brefeldin A (GolgiPlug) was added for the final 90 min of the culture.
Statistics.
Data are presented as mean (scatterplots) or mean ± SEM (ear thickness plots). Statistical significance was determined with the two-tailed unpaired Student’s t test, under the untested assumption of normality. Bar graphs show mean of several datapoints and significance was assessed using a one-way ANOVA with multiple comparisons. All statistical analyses were calculated using Prism software (GraphPad). Differences were considered to be statistically significant when P < 0.05.
Data Availability.
The RNA-seq datasets were deposited with NCBI under accession no. GSE144850. A full overview of the methods can be found in SI Appendix.
Supplementary Material
Acknowledgments
This work was supported by NIAID Division of Intramural Research (#Projects ZIA-AI001115, ZIA-AI001132) (Y.B.), (Project ZIA-AI001175) (M.S.L.); National Institute of Arthritis and Musculoskeletal and Skin Diseases Division of Intramural Research (Project ZIA-AR041199) (M.J.K.); Collège des Enseignants de Dermatologie Français, Société Française de Dermatologie, Philippe Foundation, Fondation La Roche Posay, and Fondation pour la Recherche Médicale (C.H.); European Molecular Biology Organization (Fellowship ALTF 1535-2014) and Fondation ARC pour la Recherche sur le Cancer (S.T.); Japan Society for the Promotion of Science Fellowship for Japanese Biomedical and Behavioral Researchers at NIH (S.N.). We thank the NIAID animal facility staff; K. Holmes, E. Stregevsky, and T. Hawley (NIAID Flow Cytometry Facility); and E. Lewis and K. Beacht for technical assistance. We acknowledge the NIAID Microbiome Program gnotobiotic animal facility for experiments using germ-free mice. This study used the Office of Cyber Infrastructure and Computational Biology High Performance Computing cluster at NIAID.
Footnotes
Competing interest statement: D.K. and S.N. are coauthors on a 2012 original article and a 2018 review paper. S.T. is an employee of L’Oréal Research and Innovation.
Data deposition: The RNA-seq datasets were deposited with the National Center for Biotechnology Information (NCBI) under accession no. GSE144850.
This article contains supporting information online at https://www.pnas.org/lookup/suppl/doi:10.1073/pnas.2003022117/-/DCSupplemental.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The RNA-seq datasets were deposited with NCBI under accession no. GSE144850. A full overview of the methods can be found in SI Appendix.