Abstract
Human and mouse respiratory tracts show anatomical and physiological differences, which will benefit from alternative experimental models for studying many respiratory diseases. Pig has been recognized as a valuable biomedical model, in particular for lung transplantation or pathologies such as cystic fibrosis and influenza infection. However, there is a lack of knowledge about the porcine respiratory immune system. Here we segregated and studied six populations of pig lung dendritic cells (DCs)/macrophages (Mθs) as follows: conventional DCs (cDC) 1 and cDC2, inflammatory monocyte-derived DCs (moDCs), monocyte-derived Mθs, and interstitial and alveolar Mθs. The three DC subsets present migratory and naive T-cell stimulation capacities. As observed in human and mice, porcine cDC1 and cDC2 were able to induce T-helper (Th)1 and Th2 responses, respectively. Interestingly, porcine moDCs increased in the lung upon influenza infection, as observed in the mouse model. Pig cDC2 shared some characteristics observed in human but not in mice, such as the expression of FCɛRIα and Langerin, and an intra-epithelial localization. This work, by unraveling the extended similarities of the porcine and human lung DC/Mθ networks, highlights the relevance of pig, both as an exploratory model of DC/Mθ functions and as a model for human inflammatory lung pathologies.
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Introduction
Pig is being developed as a model for several respiratory pathologies leading to over-inflammation, such as cystic fibrosis,1, 2 lung transplantation,3 and influenza A virus (IAV) infection.4 Indeed, pig and human respiratory systems present several anatomical, histological, physiological, and biochemical similarities.5 In addition, the pig immune system appears relatively close to the human one, as orthology preservation analysis on immune genes showed a greater similarity between human and pig than between human and mouse.6 For instance, and conversely to the murine ones, porcine alveolar macrophages (AMs) show no evidence of nitric oxide production after lipopolysaccharide and/or Concanavalin A stimulations7 exhibiting similar behavior to human AMs (for review, see ref. 8). Even if its immune system is one of the best characterized after the human, primate, and murine ones,9 so far the few studies that have described pig’s lung immune cells did not enter in dendritic cell (DC) and macrophage (Mθ) subpopulation details,10, 11 limiting its use as a preclinical model for respiratory pathologies.
One of the main components of the respiratory immune system is the DC/Mθ network involved in sensing foreign antigens, controlling inflammation, and initiating the adaptive immune responses. For the sake of clarity, we will use an adaptation of a recently proposed nomenclature from Guilliams et al.,12 distinguishing two levels of identification. The first level focuses on the origin of the cell-type progenitor (adult bone-marrow proDC for conventional DCs (cDCs), adult blood monocytes for monocyte-derived cells (moCells), or embryonic monocyte-derived precursors settled in peripheral tissues for Mθs). The second level focuses on the cell functions (Mθ-like or DC-like).
In the mouse lung, four different DC/Mθ subtypes have been described so far. Two types of cDCs arise from FLT3-dependent proDC. The cDC1 subset (CD103pos/CD172aneg/XCR1pos) is mainly involved in the induction of primary CD8 and T-helper 1 (Th1) immune responses, whereas the cDC2 subset (CD11bpos/CD172apos/XCR1neg) is involved in the induction of Th2 lung immune responses. AMs derive from local precursors settled in the lungs before birth, which renew the AM pool in a bone marrow-independent manner.13, 14 Finally, an inflammatory monocyte-derived DC (moDC) subset attracted to inflammatory tissues through the CCR2/CCL2 axis was recently defined as CD64pos/FcɛRIαpos.15
In humans, CD141pos/cDC1 and CD1cpos /cDC2 have been well characterized in blood and skin,16 and their functions mainly correspond to the cDC1/cDC2 mouse paradigm. In the lung, DCs presenting both phenotypes have been described,16, 17 although only one publication specifically addressed their functions, finding that both cDC1 and cDC2 presented antigens equally well to CD8+ memory T cells.18
Human AMs have been widely studied19 and behave similarly to the mouse ones, with the exception of nitric oxide production. However, no lung inflammatory moDCs have ever been described in the human lung.
We have previously shown that in the skin, porcine and human DC networks were very similar20, 21 (for review, see ref. 22). Therefore, pig appears as a pertinent model to explore which murine lung DC/Mθ functions can be extrapolated to other mammals, including humans, at steady state and upon pathological inflammation.
Unlike mice, pigs are natural hosts for IAV. They show identical symptoms and are infected by the same subtypes as humans (H1N1 and H3N2). Although H1N2 viruses have so far only been described in pigs, they might present some zoonotic potential,23 like other pig IAV, as highlighted by the 2009 H1N1 pandemic of swine origin.24 Similarly to humans, disease severity in IAV infection in pigs have been associated with increased local pro-inflammatory cytokines.10, 25 In mice, inflammatory moDCs appear to have an important role in the IAV pathogenesis. Indeed, pharmacological or genetic downregulation of the trafficking of these cells moderates the inflammation without impacting the adaptive immune response and reduces morbidity and mortality.26 Upon infection, AMs are thought to mainly downmodulate the pathogen-induced inflammation19 and to scavenge cell debris.27 Thus, it seems relevant to confirm these results in other species than mouse, where AMs and DCs would then become potential therapeutic targets to reduce the pathological inflammation induced by some IAV. Therefore, pig appears as an ideal experimental animal to study different aspects of the interaction between IAV and the lung immune system.
In this study, we finely define for the first time the phenotypes and functions of DC/Mθ populations in the different compartments of the swine respiratory tract at steady state and upon IAV infections.
Results
Porcine lung MHCIIhigh cells can be divided into six populations of DCs and Mθs
Based on our work on porcine skin,20, 21 several putative DC populations were identified as MHCIIhigh in the porcine lung parenchyma (Figure 1a). Among the MHCIIhigh cells, five populations were distinguished using the CD163 and CD172a (Sirpα) surface markers. Population 1 was the less frequent (5.6±5.1%) and the only negative one for CD172a expression (Figures 1a,e). Thus, it will hereafter be named CD172aneg. The other four MHCIIhigh populations expressed CD172a and will be named based on their differential CD163 expression level: 2/CD163neg (11.8±12.3%), 3/CD163low (17.4±4.3%), 4/CD163int (7.4±4.3%), and 5/CD163high (53.8±28.1%). Finally, in the bronchoalveolar lavage (BAL), we also identified one homogeneous MHCIIpos population as AMs (Figure 1b). These cells were CD172apos/CD163high.
In the parenchyma, the CD172aneg population was CD11b-likeneg/CD1neg/CadM1pos and did not express the antigen recognized by an anti-human mannose receptor (MR-like) (Figure 1c). The CD163neg population expressed low levels of CD1 and MR-like, and presented both CD11b-likepos and CD11b-likeneg subpopulations. It also expressed CadM1 but at a lower level than the CD172aneg population. The CD163low population was CD11b-likepos/CD1neg/CadM1pos/MR-likepos. The CD163int population was CD11b-likepos/CD1neg/CadM1low/MR-likepos and was the only one expressing CD14. The CD163high population did not express CD11b-like, highly expressed MR-like and was autofluorescent, like AMs from BAL. AMs but not CD163high cells expressed low levels of CadM1 in three out of four animals. To test the possibility that parenchymal CD163high cells were AMs contaminating parenchymal samples, we differentially stained alveolar and parenchymal cells by injecting carboxyfluorescein succinimidyl ester (CFSE) in the bronchiole leading to the intermediate lobe alveoli. Next, the lobe was massaged for a good CFSE diffusion and cells from each compartment were collected separately. As expected, AMs showed strong CFSE staining due to the fact that they were directly in contact with injected CSFE. Conversely, none of the parenchymal cells, including CD163high cells, were CFSE stained (Figure 1d), indicating that AMs and CD163high parenchymal cells belonged to distinct compartments. In the upper respiratory track, the same five different populations of MHCIIhigh cells were detected in the tracheal mucosa, exhibiting a similar phenotype (Supplementary Data 1a online).
The different populations were sorted and stained on slides using May–Grünwald–Giemsa coloration, to analyze their morphology. As shown in Figure 1f, CD172aneg, CD163neg, and CD163low cells showed DC morphology with dendrites and irregular serrated nuclei, whereas CD163int, CD163high, and AM cells clearly resembled Mθs with a vacuolated cytoplasm and a round nucleus.
Lung parenchymal MHCIIhigh cells can be divided in cDCs, moDCs, moMθs, and Mθs
To assess DC/Mθ canonical genes expression by reverse transcriptase-quantitative PCR (qPCR), all six populations were sorted. As shown in Figure 2a, both CD172aneg and CD163neg populations expressed high levels of FLT3, suggesting that they belong to the cDC lineage. CD172aneg cells were the only ones expressing XCR1. These data, along with their CadM1pos/CD11b-likeneg/MR-likeneg phenotype, indicate their adscription to the cDC1 subset. CD163neg cDCs were FLT3high/CD172apos/XCR1neg, indicating that they correspond to the cDC2 subset. As observed in human and mouse cDC2,28, 29 CD163neg cDCs also expressed the myeloid genes CSF1R, CCR2, and CX3CR1, whose expressions overlapped with monocyte-derived cells. The CD163neg cells, like human cDC2, expressed higher levels of Langerin30 and FcɛRIα31 compared with all other subtypes. As CD163neg cells presented a bimodal expression of CD11b-like, we sought to test CD11b-likeneg and CD11b-likepos cells separately for cDC2 markers: both cell populations expressed FcɛRIα (data not shown), comforting the belonging of the overall CD163neg DC population to the cDC2 subset.
CD163low cells expressed the myeloid genes MerTK and CD64 at an intermediate level between cDCs and AMs, whereas they expressed less CCR2 and CX3CR1 than cDC2 but more than AMs. They also expressed the Mθ marker CSF1R but to a lesser extent than the CD163int cells. Along with their DC morphology, these data suggest that they correspond to moDCs. Interestingly, and in parallel with their CadM1 expression, CD172aneg but also CD163neg and CD163low cells expressed CD103, a cDC1 marker in mouse lung. The CD163int population showed the same gene expression profile as CD163low DCs but it did show Mθ morphology as well, which suggest that they could belong to a monocyte-derived Mθ (moMθ) population. Finally, AMs and parenchymal CD163high cells presented a very similar expression pattern, with no expression of CCR2 and CX3CR1, and a higher expression of MerTK and CD64 compared with all the other cells.
This whole transcriptomic profile was similar in tracheal mucosa cells (Supplementary Data 1b).
CD172aneg, CD163neg, and CD163low cells present DC functionalities, whereas CD163int, CD163high, and AMs behave like Mθs
Two of the main properties of mature DCs are their capacities to migrate toward the lymph node against a CCL21 gradient and to activate naive T cells. Thus, we tested the capacity of in vitro-matured lung populations to migrate toward CCL21 in a transwell assay. Strikingly, the three populations presenting DC morphology, i.e., the CD172aneg, CD163neg, and CD163low cells migrated toward CCL21 (Figure 3a). To compare the migration of the various populations in spite of their different proportions in the upper chamber, we calculated their migration index32 as the percentage of cells having migrated for each population (Figure 3b). The results highlighted that both cDCs had a higher migration capacity compared with CD163low cells, and that CD163int, CD163high, and AM subsets did not substantially migrate toward CCL21.
We next examined whether these subsets possessed the capacity to induce naive allogeneic T-cell proliferation (Figure 3c–e and Supplementary Data 2). As lungs were obtained from conventional, outbred animals, we experienced high variability in the percentages of responding T cells according to the degree of allogeneicity of each DC/T-lymphocyte match. For instance, CD4+ T-cell spontaneous proliferation ranged from 0.2 to 8.0%, and upon CD163neg cells stimulation from 4.6 to 52.5%. Similarly, CD8+ T-cell spontaneous proliferation ranged from 1.0 to 15.6%, and upon CD163neg cells stimulation from 7.3 to 55.5%. CD3+CD4−CD8− γδ T cells33 presented a higher spontaneous proliferation ranging from 0.8 to 42.8%, and upon CD163neg stimulation reached 4.1 to 66.7% of proliferation. We thus compared the proliferation index of each experiment as described in Methods. As shown in Figure 3c, CD163neg cDCs were the best at inducing proliferation of CD4+ T cells, followed by CD172aneg cells. The two cDC subsets were equally potent at inducing CD8+ T-cell proliferation (Figure 3d). CD163low moDCs induced variable proliferation of CD8+, CD4+, and γδ T cells, although without reaching significance. In agreement with their assignment to the Mθ types, the CD163int, CD163high, and AM populations did not stimulate T-cell proliferation.
Subsequently, the capacity of each DC/Mθ population to skew differentiation of naive allogeneic CD4+ T cells in different Th subsets was tested in vitro. CD172aneg cDCs induced differentiation of interferon-γ-producing Th cells (Figure 3f). CD163neg cDCs induced interleukin (IL)-13-producing Th cells (Figure 3g), whereas the three DC populations induced variable degrees of IL-17-producing Th cells (Figure 3h). Next, the capacity of each subset to produce inflammatory cytokines after a lipopolysaccharide/polyinosinic:polycytidylic acid stimulation was studied. The CD163low subset produced both IL-1β (Figure 3i) and IL-8 (Figure 3j). Combining their phenotype, morphology, transcriptome, and functional capacities, we can assess that CD172aneg/XCR1pos cells and CD163neg/CD172apos cells correspond to cDC1 and cDC2, whereas CD163low cells may correspond to the inflammatory moDC type, as they present monocyte lineage features and DC capacities. The CD163int population also presented monocyte-derived cell characteristics, but showed Mθ features, leading us to name them moMθs. Finally, CD163high cells could be considered as ‘interstitial’ AMs.
DC/Mθ localization in the respiratory tract
Both cDC subsets were more represented in the bronchus and trachea than in the lung parenchyma (Figure 4). The CD163low/moDC population was equally represented all along the respiratory tract. Finally, the CD163int/moMθs and the CD163high ‘interstitial’ AMs were overrepresented in the lower part of the lung.
DC/Mθ sublocalization in respiratory tissues
Tissue sublocalization was assessed by confocal microscopy (Figure 5). CD172aneg/cDC1 cells were interstitial, mainly localized around the alveoli in the lung parenchyma. CD163neg/cDC2 cells had an intra-epithelial localization in tracheal and bronchial mucosa, and a sub-epithelial localization in the lung parenchyma bronchioles. The CD163low/moDCs and CD163int/moMθ populations cannot be distinguished from one another on these images. Parenchymal CD163high cells could be distinguished from AMs in the lung interstitium and in the alveoli lumen, respectively.
IAV infection induces moDCs recruitment
Having characterized the equivalents of murine cDC1, cDC2, moDCs, moMθs, and AMs in the porcine respiratory tract, we then assessed their recruitment upon IAV infection. Two field-isolated strains, swine (sw)H1N2 and swH3N2,34 were tested in order to be able to draw robust, nonstrain-specific conclusions. Three groups of six conventional pigs were inoculated with phosphate-buffered saline (PBS), swH3N2, or swH1N2 (Figures 6a–c), and lungs were collected at 2 days post infection. Cells were extracted from the lobe presenting the higher macroscopic lesion score (cardiac lobe, arrow in Figure 6a) without performing BAL; thus, AMs and CD163high cells could not be distinguished in this experiment. All populations were counted and analyzed by flow cytometry to measure their percentage among total cells (Figures 6d–f). The absolute number of each sub-population per cardiac lobe was then calculated. Interestingly, the CD163low/moDCs population was the only one that significantly increased after both swH3N2 and swH1N2 infections (Figure 6g). Sorted lung DCs were tested for transcriptomic expressions of IL-12A, IL-4, IL-13, and IL-6, cytokines involved in the induction of respectively Th1, Th2, Th2, and Th17 cells.35 CD172aneg/cDC1 produced more IL-12A mRNA, the Th1 inducer cytokine, than CD163neg/cDC1 and CD163low/moDCs, both in mock and IAV-infected animals (Figure 6h,i) in agreement with their Th1-inducing capacities in allogeneic reactions (Figure 3h). Neither IL-13 nor IL-4 transcripts, the Th2-inducing cytokines, were detected (data not shown). Finally, no differences in IL-6 transcription (Figure 3i) were observed between the three DC subsets, both at steady state and upon infections, in agreement with the absence of a specific allogenic Th17-inducing DC subset.
CD163neg/cDCs and CD163low/moDCs can present IAV NP antigen to CD4+ effector/memory T cells
To further investigate the functions of lung DCs, we tested the capacity of each DC/Mθ lung population to stimulate antigen-specific CD4+ and CD8+ effector/memory cells, using enriched spleen T cells from H1N1-vaccinated pigs and autologous cell-sorted lung DC/Mθ loaded with purified IAV nucleoprotein (NP). Given the difficulty of such an experiment, it was only performed on three pigs, which obviously led to an important variability in the results. Both CD163neg/cDC2 and CD163low/moDCs appeared capable of presenting NP antigens to effector/memory CD4+ T cells (Figure 7a and Supplementary Data 2). Surprisingly, despite their strong capacity to activate naive allogeneic CD4+ and CD8+ T cells, to produce IL-12A and to induce Th1 cells, CD172aneg/cDC1 appeared unable to present antigen to CD4+ or CD8+ effector/memory T cells (Figure 7a,b) under the experimental conditions tested here.
Discussion
In order to develop valid and substantial alternative models to study respiratory pathologies, current knowledge on murine and human immune networks must be extended to other species. Here we show the potential of pig as a pertinent and intermediate model between mouse and human by ascribing six porcine respiratory DC/Mθ cell types to their mouse and human counterparts, based on the recent unified nomenclature.12
Porcine AMs were CD163high/CD11b-likeneg and expressed high levels of MerTK and CD64, as in mouse28, 36 and in human.37 Conversely to the other lung DCs/Mθs, pig AMs expressed virtually no CCR2 or CX3CR1, in agreement with an origin that would be independent from blood monocytes, as recently demonstrated for mouse AMs.13, 14 Interestingly, we observed an AM-like population, the CD163high ‘interstitial’ AMs, unambiguously localized in the interstitium and representing >50% of the MHC-IIhigh parenchymal cells. It is noteworthy that this population has been observed in mouse lung,27 without raising much interest. However, according to their frequency in pig parenchyma and to the essential role of AMs in the downmodulation of virus-induced inflammation in mouse19 and in pig,38 the presence of ‘interstitial’ AMs in human lungs and the respective roles of alveolar and ‘interstitial’ AMs deserve further investigations.
A third Mθ-like cell was described as MHC-IIhigh lung population: the CD163int cells. According to their Mθ features and their CCR2 and CX3CR1 expressions, they can be considered as moMθs. Interestingly, interstitial Mθs, which are phenotypically distinct from AMs, have been described in mice. They express similar major histocompatibility complex II (MHC-II) levels as DCs and strongly downmodulate the allergic immune response.39 The CD163int/moMθs described here might be their pig counterpart (Figure 8). Again, to our knowledge, this population has never been reported in human.
The CD163low cells presented full DC functionalities. Their frequency increases in the lung on IAV infection and they secrete the pro-inflammatory cytokines IL-1β and IL-8/CXCL8 when stimulated. They also appeared potent in antigen-specific restimulation of the CD4 recall response. Thus, they were ascribed to the inflammatory moDC population. In mouse, lung inflammatory DCs15 have been defined as FcɛRIαpos/CD64pos. In pig, they expressed intermediate levels of CD64 compared with AMs and did not express FcɛRIα conversely to CD163neg/cDC2, which strongly expressed FcɛRIα. In human, inflammatory DCs (from arthritic synovial fluid and ascites), cDC1, and cDC2 (from blood and lung) express FcɛRIα.31, 40, 41 These data suggest that FcɛRIα might not be the best trans-species marker of inflammatory moDCs.
Characterization of these inflammatory moDCs is very relevant, considering not only their pathological role in mice during an IAV infection26, 42 but also their involvement in asthma.15 For example, during the last decade, CCR2 pharmacological antagonists have been developed, patented, and tested in different human inflammatory pathologies.43 The definition of inflammatory moDCs in pig might allow to better describe, understand, and refine the different modes of action of these and other future drugs to be used for treatment in human.
Finally, two populations presented the hallmarks of cDCs; they expressed FLT3 along with strong migration and antigen presentation capacities. The CD172aneg cDCs expressed XCR1, activated CD8+ better than CD4+ naive allogeneic T cells, and induced a Th1 response. All in all, these properties clearly defined them as cDC1. However, they were unable to induce antigen-specific proliferation of effector/memory CD8+ T cells. In humanized mice,18 both cDC subsets from the lungs or lymph nodes were able to reactivate memory CD8+ T cells. However, it has been shown in mouse44 that although cDC1 from the lymph node and lung were able to activate naive CD8+ T cells, only cDC1 from the lymph node could efficiently activate memory CD8+ T cells. The authors hypothesized that the inability of lung cDC1 to activate memory CD8+ T cells would allow a better priming of naive T cells, even in conditions in which robust memory predominates, allowing the emergence of CD8+ T cells presenting new antigen specificities. Although further in-vivo experiments are required, porcine lung cDC1 might be closer to murine lung cDC1 in their low capacity, to reactivate effector/memory CD8+ T cells than their human counterparts.
The second cDC subset, CD163neg/CD172apos/XCR1neg, activated CD8+ and CD4+ naive allogeneic T cells and induced a Th2 response. Although the association of CD8+ T-cell activation with a Th2 response seems contradictory, it is important to point out that our results were obtained in the context of an allogeneic reaction, which does not involve cross-priming of CD8+ T cells, and induces a strong helper response. CD163neg cDC induced an antigen-specific proliferation of CD4+ effector/memory T cells and, in a less clear-cut way, of CD8+ T cells, as previously observed in mouse cDC2.45 According to these properties and in agreement with mouse data,15 CD163neg cells can be ascribed to the cDC2 lineage.
Pig lung cDC2 expressed strong levels of Langerin. We have previously described its expression in some skin cDC2.20, 21 In addition, it has been recently shown in human that Langerin is expressed by some cDC2 from the dermis, lung, tonsil, and liver, and it is rapidly induced in blood cDC2 on tumor growth factor-β exposure.30 Interestingly, similar to human cDC2 (ref. 18) porcine cDC2 are localized in close proximity with epithelial cells, a potential source of tumor growth factor-β, whereas in mouse cDC1 have been described at this location.46 In line with this, CD103 and CadM1, integrins involved in homophilic or heterophilic interactions with epithelial cells,47, 48 are expressed by pig cDC1 and cDC2. CD103 is a marker of cDC1 in mouse peripheral tissues,46, 49 whereas CadM1 is a marker of cDC1 in different tissues of mice, humans, pigs, sheep,21, 32, 50 and bats (Ginhoux and Dutertre, personal communication). In swine lung, these two markers are expressed on the two cDC subsets and on moDCs. In our previous work on porcine skin, we observed that CadM1 was expressed on dermal cDC1 and on intra-epithelial Langerhans cells.20 We can thus hypothesize that in pig, and potentially in other species, CadM1 and CD103 may be expressed on cDC1 regardless of their location, but also on any DC in an epithelial environment.
It is important to highlight that the most striking similitudes between swine and human are related to the cDC2 population: conversely to the mouse one, swine and human cDC2 are localized in or next to the tracheal and bronchial epithelia and express FcERIα (Figure 8). These two properties, associated with the Th2-inducing capacity of cDC2, might imply similar allergen responses of these two species as opposed to mouse. Indeed, intraepithelial localization of cDC2 must facilitate their sampling of noninvasive antigens such as allergens, whereas FcERIα expression might allow self-amplification51 or autoregulation52 of the pathological inflammation, differently from the murine cDC2. Thus, pig respiratory system might be considered a better model than mouse for human allergic syndromes.
On the contrary, during pathologies targeting epithelial cells such as IAV infection, the deep localization of cDC1 in porcine and in human18 pulmonary tissues might undermine their access to antigens and thus lessen their role in the induction of the immune response compared with that in mouse. Different cDC1 and cDC2 localizations between mice and humans might explain why human cDC2 are shown to be more involved in the induction of anti-IAV CD8 response18 than their mouse counterparts.53 It would be of great interest to test this hypothesis by monitoring the role of cDC1 and cDC2 in the initiation of anti-IAV CD8 immune response in pig.
Indeed, as stated before, the porcine respiratory and immune systems are similar to the human one at many levels. In addition, unlike mice, pigs are IAV natural hosts that are able to be infected with the same strains as human. We showed here that it was possible to use pig as a pertinent model for respiratory immune parameters and to study each population of DC/Mθ as precisely as in mouse. It is noteworthy to emphasize the importance of working on different complementary species such as mouse, nonhuman primate and nonconventional models such as pig, ferret, or horse, in order to draw more robust conclusions, which allow an easier translation to human clinic.
Methods
Animals, in vivo infections, and tissue collection
For phenotypic and functional assays, tissue samples were obtained from 5- to 7-month-old Large White conventionally bred sows from UEPAO, Tours, France.
IAV infection experiments were conducted at CReSA (Barcelona, Spain), in compliance with the Ethical Committee for Animal Experimentation of the institution (Universitat Autònoma de Barcelona). The treatment, housing, and husbandry conditions conformed to the European Union Guidelines (Directive 2010/63/EU on the protection of animals used for scientific purposes). Animal care and procedures were in accordance with the guidelines of the Good Laboratory Practices under the supervision of the Ethical and Animal Welfare Committee of the Universitat Autònoma de Barcelona (number 1189) and under the supervision of the Ethical and Animal Welfare Committee of the Government of Catalonia (number 5796). Eighteen pigs (7–8 weeks old, LandraceXPietrain) were housed in separate isolation rooms and were randomly assigned to three experimental groups of six pigs. The animals were seronegative to IAV (ID Screen Influenza A Antibody Competition ELISA, ID-Vet, Grabels, France) at the time of the experiment. On day 0, one group of pigs was intratracheally inoculated with 3 × 106.3 TCID50 of a swH3N2 virus (A/Swine/Spain/SF32071/2007) in 2 ml inoculum produced on Madin–Darby canine kidney (MDCK) cells. Another group was similarly inoculated with 3 × 107.2 TCID50 per 2 ml of a swH1N2 virus (A/Swine/Spain/SF12091/2007). The third group was mock infected, receiving 2 ml of PBS. Each of the three groups was euthanized at 2 days post infection and cardiac lobs were collected.
For the antigen-specific presentation assay, experiments were conducted at PFIE (Tours, France), in accordance with the animal welfare experimentation recommendations under the responsibility of I Schwartz (authorization 00783.02). The animal experiment protocol was approved by the French national ethics committee CEEA Val de Loire. At days 1 and 30, three 2- to 4-month-old Large White pigs were injected intramuscularly with 2 ml of H1N1 vaccine composed of PBS, 18.5 μg ml−1 inactivated A/Swine/Paris/2590/2009 and ISA201VG adjuvant (SEPPIC, Paris, France). Pigs were euthanized at day 60. The lung and spleen were collected.
Lung and spleen cell isolation
A BAL procedure was performed twice on the isolated left lung with 250 ml of PBS+2 mM EDTA (PBS/EDTA), to collect AMs. Next, a 1-cm slice of external lung parenchyma was dissected from the same lung. For in vivo-infected tissues, the whole cardiac lobe was dissected without performing any BAL, resulting in the extraction of 60–170 million live cells with no significant differences between conditions. Tracheal mucosa was separated from the cartilage with pliers. Tissues were minced and incubated in nonculture-treated Petri dishes, to avoid differential plastic adherence of Mθs and DCs, for 2 h at 37 °C in complete RPMI, consisting of RPMI 1640 supplemented with 100 IU ml−1 penicillin, 100 mg ml−1 streptomycin, 2 mM L-glutamine, and 10% inactivated fetal calf serum (FCS) (all from Invitrogen, Paisley, UK), containing 2 mg ml−1 collagenase D (Roche, Meylan, France), 1 mg ml−1 dispase (Invitrogen), and 0.1 mg ml−1 Dnase I (Roche). Cells were passed through 40 μm cell strainers and red blood cells lysed with erythrocytes lysis buffer (10 mM NaHCO3, 155 mM NH4Cl, and 10 mM EDTA). Next, cells were washed with PBS–EDTA, counted, and step-frozen in FCS+10% dimethyl sulfoxide (Sigma-Aldrich, St Louis, MO).
Spleen cells were extracted by scraping with a scalpel blade and collected in PBS 1.3 mM citrate, then filtered on a 100-μm strainer in complete RPMI, and enriched on Ficoll-Hypaque density gradient (Amersham Biosciences, Uppsala, Sweden). Red blood cells were lysed as described above.
Ex-vivo CFSE staining assay
In order to stain the alveolar cells ex vivo, the intermediate lobe was sampled and injected with 20 ml of 50 μM CFSE (Invitrogen) via the connecting bronchiole, while being rubbed for a better diffusion in the alveoli. Next, it was clamped and after 30 min incubation at 37 °C, alveolar cells were collected by one lavage with 10 ml FCS and two lavages with 15 ml PBS–EDTA. Two additional lavages were performed to eliminate remaining alveolar cells. The lobe was then minced and enzymatically digested as described above, to retrieve interstitial lung cells.
Flow cytometry analysis
Cell surface stainings were performed in PBS–EDTA supplemented with 5% horse serum and 5% swine serum for 30 min on ice. Primary antibodies and their working dilutions are listed in Table 1. The anti-CD11b antibody used (M1/70) recognizes murine and human CD11b but had never been described in pig. It must bind to one out of the three potential orthologs of CD11c and CD11b in pig, namely CD11R1, CD11R2, or CD11R3.54 Thus, for clarity we referred to the antigen recognized by this antibody as ‘CD11b-like’. The anti-MR also being an anti-human antibody, it will be referred to as ‘MR-like’.
Matched isotype controls for mouse IgG1, IgG2b, and IgG2a were purchased from Invitrogen and were used at the same concentration as the corresponding antibody. Secondary antibodies, anti-mouse IgG1, IgG2b, IgG2a coupled to Alexa-488, Phycoerythrin-PE, Tricolor, or Alexa-647 were from Invitrogen and were used at a 1/200 dilution. Between labelings, cells were washed twice with PBS–EDTA. Cells from IAV-infected pigs were then fixed in 4% paraformaldehyde (EMS, Hatfield, PA) before flow cytometry analysis. Samples were acquired on a FACS-Calibur (BD-Biosciences, Oxford, UK) or sorted on a MoFlo ASTRIOS (Beckman-Coulter, Paris, France). For sorting, dead cells were excluded by Dapi staining (Sigma-Aldrich). Acquired data were analyzed using FlowJo software (version X.0.6; Tree Star, Ashland, OR).
Microscopy
Lung parenchyma biopsies and tracheal mucosa pieces were snap-frozen in OCT (Sakura, Paris, France) and conserved at −80 °C. Cryosections (7 μm) were obtained using a cryostat (Leica CM3050S, Nanterre, France). Sections were fixed in methanol/acetone (1:1) at −20 °C for 20 min and stained using previously described anti-swine antibodies, matched isotype controls, and isotype-specific secondary antibodies. Sections were mounted in SlowFade mounting medium (Invitrogen). Slides were examined on a LSM510 confocal microscope (Zeiss, LePecq, France), using a 40 ×, oil-immersion objective (MIMA2 Platform, INRA, Jouy en Josas, France), and analyzed with Zen 2012 Software (Zeiss, Jena, Germany).
May–Grünwald–Giemsa staining and histology
Sorted cells were deposed on microscope slides (Superfrost, Thermo, Villebon sur Yvette, France) by cytocentrifugation and stained with May–Grünwald–Giemsa stain. Images were acquired with a Leica Leitz DMRB microscope equipped with a × 63 oil-immersion objective (numerical aperture 1.3) and a DP50 imaging camera coupled to the Cell̂F software (Olympus, Tokyo, Japan).
DC enrichment and stimulation
Cells were cultured in complete RPMI. Preparations were enriched in DC by gradient20 (Optiprep; Nycomed Pharma, Oslo, Norway). Enriched preparations routinely contained 5–25% of DC/Mθ as checked by flow cytometry. For transwell and cytokine production assays, enriched DCs were matured by a 24-h in vitro culture in complete RPMI supplemented with 10 μg ml−1 lipopolysaccharide and polyinosinic:polycytidylic acid (Sigma-Aldrich).
Transwell assay
A Chinese Hamster Ovary (CHO) clone expressing porcine CCL21-GFP has been derived as previously described.21 Four hundred microliters of supernatants from this clone or from the parental CHO cells were deposed in the lower wells of a 24-well plate. DCs or AMs were enriched and stimulated as described above and re-suspended in complete RPMI at 1 × 106 cells per ml. Next, 100 μl were deposed on the inserts (Costar, 5 μm pore filter, Corning, NY). After 2 h at 37 °C, cells having migrated in the lower compartment were stained and counted by flow cytometry.
Mixed lymphocytes reaction assay
Mixed lymphocytes reaction assays were performed as previously described.21 Briefly, peripheral blood mononuclear cells from large, white, specific pathogen-free pigs (Anses, Ploufragan, France) were CFSE stained and re-suspended in X-vivo medium (Ozyme, Saint-Quentin-en-Yvelines, France) supplemented with 2% FCS and penicillin/streptomycin at 3 × 106 cells per ml (or 1 × 106 cells per ml for enriched naive CD4+ T cells) and 100 μl per well were plated in a 96-well U-bottom plate. The sorted DCs were mixed with the allogeneic CFSE-labeled T cells at a 1:8 ratio. Cells were cultured for 5 days in X-vivo medium+2% FCS+ penicillin/streptomycin before staining with anti-CD3, anti-CD4, and anti-CD8α antibodies, and flow cytometry analysis. For each of the four distinct experiments, the cell subtype inducing the highest percentage of T-cell proliferation was considered as 100 and the percentage of T-cell proliferation induced by the other cell subtypes of the same experiment were normalized to it.
For naive CD4+ T-cell functional polarization, allogeneic naive CD4+ T cells were enriched by depletion of myeloid cells, B cells, natural killer cells, γδ T, CD8+ T cells, and memory CD4+ T cells. Fresh peripheral blood mononuclear cells from Melanoma Libechov Minipig pigs55 were stained with anti-CD172a, anti-CD21-like, anti-IgM, anti-IgL, anti-CD16, anti-CD8α, anti-MHC-II, and anti-γδ T cell receptor, all at a 1/40 dilution. They were then incubated with goat anti-mouse IgG microbeads (Miltenyi-Biotech, Bergisch Gladbach, Germany) at a 1/5 dilution, washed, and passed on an LD column (Miltenyi-Biotech) for depletion. Naive T cells represented >70% of the collected cells. They were then mixed with the sorted DCs/Mθs at a 1:10 ratio. Seventy-two hours later, cells were lysed and RNA extracted. Reverse transcriptase-quantitative PCR were then performed as stated below using interferon-γ-, IL-13-, and IL-17-specific primers.
Cytokine detection
Sorted DCs were re-suspended in complete RPMI at 1 × 106 cells per ml and plated in 200 μl per well of a 96-well U-bottom plate for one night at 37 °C with 10 μg ml−1 lipopolysaccharide and polyinosinic:polycytidylic acid. The supernatants were frozen at −20 °C until cytokine detection. Concentrations of IL-1β and IL-8 were assessed by cytometric beads assay for simultaneous detection of 10 swine cytokines. Antibodies and recombinant cytokines used are listed in Table 1. Capture antibodies were covalently coupled to the surface of fluorescent Cyto-Plex carboxylated Microspheres (Thermo Fisher Scientific, Courtaboeuf, France) according to the manufacturer’s instructions. Each capture antibody was applied to a given microsphere category. All assays were made in duplicates. Fifty microliters of samples or standards, diluted in diluent buffer (PBS 0.5 × and Tris buffer 0.5 ×), supplemented with 2.5% bovine serum albumin, 0.5% polyvinylalcohol (Sigma-Aldrich), and 0.8% polyvinylpyrrolidone (Sigma-Aldrich) were incubated in membrane filter-bottomed microplates (MultiScreen HTS BV 1.2 μm Opaque Non-sterile, Millipore, Darmstadt, Germany) with 2,000 beads per well of each antibody-coated beads. Beads were washed with washing buffer (PBS 10 × (Thermo Fisher Scientific), Tris 0.5 M, pH 7.2, 1:1) by aspiration. Twenty-five microliters of biotinylated detection antibodies (1 μg ml−1 diluted in assay buffer) were added and incubated for 90 min. Fifty microliters of PE-labelled streptavidine (5 μg ml−1 diluted in assay buffer, Molecular Probes) were added in each well after three washes, followed by 30 min incubation. Beads were then washed and re-suspended in PBS before acquisition on a Guava easyCyte 6HT-2L cytometer (Millipore). The results were analyzed using FloCytomix Pro software (eBioscience, Paris, France). A five-parameter logistic regression model was used to fit the curve.
Antigen-specific presentation assay
For antigen-specific presentation assay, spleen cells were collected from pigs vaccinated as described above. Dead cells were eliminated on an Optiprep gradient. Cells were then enriched in T lymphocytes by depletion of myeloid cells, B cells, and γδ T cells. They were stained with anti-CD172a, anti-CD21-like, anti-IgM, anti-IgL, and anti-γδ TCR, all at a 1/40 dilution, and then with goat anti-mouse IgG microbeads at a 1/5 dilution. Cells were subsequently washed and passed on an LS column (Miltenyi-Biotech) for depletion and they were CFSE stained. The sorted lung DCs/Mθs were re-suspended in X-vivo medium+2% FCS+ penicillin/streptomycin, and 20,000 cells were plated in 200 μl per well of a 96-well U-bottom plate. For each subset of each pig, one well was then incubated at 37 °C for 90 min with medium alone and another well with 2 μg ml−1 recombinant IAV NP, produced as previously described.56 After centrifugation, the NP-containing medium was discarded and 400,000 CFSE-stained T cells from the same pig were added to each well. Cells were cultured for 5 days at 37 °C before staining with anti-CD3, anti-CD4, and anti-CD8α antibodies, and flow cytometry analysis. In order to represent the NP-specific proliferation only, the percentage of proliferation induced by unstimulated DCs/Mθs was subtracted from the percentage of proliferation induced by NP-loaded DCs/Mθs.
RNA extraction
Total RNA from sorted DCs/Mθs or cultured allogeneic naive T cells were extracted using the Arcturus PicoPure RNA Isolation kit (ThermoFisher Scientific, St Aubin, France) according to the manufacturer’s instructions. Contaminating genomic DNA was removed using a Qiagen RNase free DNase set (Courtaboeuf, France).
Real-time qPCR
RNA was reverse transcribed using random hexamers and the Multiscribe reverse transcriptase (ThermoFisher Scientific). All cDNA were examined for the frequency of different transcripts using qPCR. All qPCR reactions were performed in 25 μl volumes using iTaq Universal SYBR Green Supermix (Biorad, Hercules, CA). Primers are detailed in Table 2. Relative quantification was determined using the ΔCt method and normalized to expression of the reference gene RPS24 (ribosomal protein S24). This gene has been chosen as the reference gene because of its highly stable expression in the different DC and MΦ lung subsets, and upon IAV infection (data not shown), as compared with other genes previously shown as stable in pig lungs: GAPDH, RPL19, and HPRT.57
Statistical analysis
All data were analyzed using the GraphPad Prism v5.0 statistical software package (GraphPad Software, La Jolla, CA). Statistical tests applied to each data set are indicated in the relevant figure legend.
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Acknowledgements
We thank Christophe Staub and the UEPAO staff for their work and help in samples collection. In addition, we thank the PFIE staff for the vaccination experiment and the CReSA Cat3 staff, especially Lorena Cordoba and Raquel Maeso, and the staff in the animal facility at CReSA, for their support in the infections experiments and the cell sorting. We thank Céline Deblanc and SPPAE staff, Anses Ploufragan, for access to specific pathogen-free pigs and help in sample treatment. We thank Sandrine Truchet for her help with the MGG images and the INRA confocal microscope platform MIMA2. Finally, we thank Javier Dominguez for the CCL21-GFP-expressing clones. The research leading to these results has received funding from the European Community’s Seventh Framework Program (FP7, 2007-2013, NADIR project), Research Infrastructures Action, under the grant agreement number FP7-228393 (NADIR project), and from the project AGL2010-22200-C02-01 from the Spanish Ministry of Science and Innovation.
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Maisonnasse, P., Bouguyon, E., Piton, G. et al. The respiratory DC/macrophage network at steady-state and upon influenza infection in the swine biomedical model. Mucosal Immunol 9, 835–849 (2016). https://doi.org/10.1038/mi.2015.105
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DOI: https://doi.org/10.1038/mi.2015.105
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