Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Equine alveolar macrophages and monocyte-derived macrophages respond differently to an inflammatory stimulus

Abstract

Alveolar macrophages (AMs) are the predominant innate immune cell in the distal respiratory tract. During inflammatory responses, AMs may be supplemented by blood monocytes, which differentiate into monocyte-derived macrophages (MDMs). Macrophages play important roles in a variety of common equine lower airway diseases, including severe equine asthma (SEA). In an experimental model, an inhaled mixture of Aspergillus fumigatus spores, lipopolysaccharide, and silica microspheres (FLS), induced SEA exacerbation in susceptible horses. However, whether equine AMs and MDMs have differing immunophenotypes and cytokine responses to FLS stimulation is unknown. To address these questions, alveolar macrophages/monocytes (AMMs) were isolated from bronchoalveolar lavage fluid and MDMs derived from blood of six healthy horses. Separately, AMMs and MDMs were cultured with and without FLS for six hours after which cell surface marker expression and cytokine production were analyzed by flow cytometry and a bead-based multiplex assay, respectively. Results showed that regardless of exposure conditions, AMMs had significantly higher surface expression of CD163 and CD206 than MDMs. Incubation with FLS induced secretion of IL-1β, IL-8, TNF-α and IFN-γ in AMMs, and IL-8, IL-10 and TNF-α in MDMs. These results suggest that AMMs have a greater proinflammatory response to in vitro FLS stimulation than MDMs, inferring differing roles in equine lung inflammation. Variability in recruitment and function of monocyte-macrophage populations warrant more detailed in vivo investigation in both homeostatic and diseased states.

Introduction

Alveolar macrophages (AMs) are the most numerous innate immune cell in the healthy distal lung, and reside on the luminal surface of the alveolus [1, 2]. These macrophages arise during embryogenesis, populate the alveoli after birth, and self-renew throughout the life of the animal [35]. In the steady state, AMs perform homeostatic functions including surfactant clearance and immune modulation to enable optimal gas exchange [2, 6]. Additionally, AMs rapidly recognize respirable particulates and pathogens, and initiate inflammatory responses [6, 7]. In the barn environment, respirable materials capable of inciting an AM response include fungal spores, lipopolysaccharide (LPS) from environmental gram-negative bacteria, and soil-origin dusts [810]. Indeed, an inhalational challenge model composed of fungal spores, LPS and silica microspheres (FLS), induced exacerbation of severe equine asthma (SEA) in susceptible horses–identifying these components as critical in inducing an inflammatory response [8].

Surface expression of CD163, the hemoglobin-haptoglobin scavenger receptor, and CD206, the mannose receptor, is characteristic of equine AMs as they naturally express both receptors but can alter this expression pattern in response to inhaled particulates [11]. Although increased AM expression of CD163 and CD206 has been associated with an anti-inflammatory phenotype in conjunction with severe, but non-neutrophilic, asthma in humans [1218], it is uncertain whether the same is true of equine AMs in the context SEA. In contrast, blood monocytes arise from bone marrow precursors and infiltrate tissues, including the lung [3, 19, 20]. Particularly during an inflammatory response, monocytes differentiate into either pro- or anti-inflammatory monocyte-derived macrophages (MDMs) in response to local signals [21, 22]. Three subpopulations of monocytes have been identified: so-called classical monocytes (CD14++CD16-), intermediate monocytes (CD14++CD16+), and non-classical monocytes (CD14+CD16++) [23]. In horses, the majority of monocytes in blood were deemed classical and in bronchoalveolar lavage fluid (BALF), intermediate [24, 25], and a decrease in CD14+ macrophage proportions was detected in SEA-affected horses [24].

Macrophages initiate an inflammatory cascade by recognizing pathogen-associated molecular patterns and damage-associated molecular patterns via pattern recognition receptors [26]. For example, macrophages express dectin-1, a member of the C-type lectin-like receptor family, which binds β-glucan on swelling fungal spores and triggers a proinflammatory response to these potential pathogens [27, 28]. Binding of LPS by TLR-4, and its co-receptor myeloid differentiation factor 2, results in activation of transcription factors such as NF-κB, leading to the production of both pro- and anti-inflammatory cytokines including tumor necrosis factor alpha (TNF-α), interleukin (IL)-1β, IL-8, and IL-10 [9, 29, 30]. This production of opposing cytokines highlights the dual role of macrophages in inciting and resolving an inflammatory response to maintain homeostasis [31].

Under homeostatic conditions, the majority of monocytes/macrophages in alveoli are mature AMs, and the minority are intermediate monocytes and monocyte-lymphocyte cells [25, 32]. However, this ratio can be altered dramatically in disease conditions. In humans, increased airway classical monocytes were a feature of neutrophilic asthma [33], and in a mouse model of LPS-induced pulmonary inflammation, there was wide-spread replacement of AMs by recruited monocytes–the latter amplified the inflammatory response by producing abundant cytokines and chemokines [34]. Although AMs and MDMs both figure in the pathogenesis of a variety of pulmonary inflammatory diseases including asthma, acute lung injury, acute respiratory distress syndrome, and fibrosis [16], only rarely has it been considered that tissue-resident macrophages and MDMs may have differing responses in the same microenvironment [32].

Severe equine asthma, the most common lower airway inflammatory disease of mature horses, is characterized by persistent neutrophilic inflammation [3537]. This marked airway neutrophilia suggests the presence of IL-8 [35, 38, 39], for which macrophages are one of the main sources [40]. Recently, increased surface expression of CD163 and CD206 on AMs was identified in association with exacerbation of SEA [11], suggesting that these macrophages may also have an anti-inflammatory role that like humans, is associated with the severity of asthma [17, 18]. However, in that study tissue-resident AMs were not distinguished from infiltrated MDMs, nor was their cytokine response evaluated. Therefore, the precise involvement of AMs and MDMs in the pathogenesis of SEA remains unknown.

The current study addressed the hypothesis that equine alveolar macrophages/monocytes (AMMs) and MDMs have unique immunophenotypic and functional properties. To begin to assess the contribution of AMMs and MDMs to the response against agents known to exacerbate SEA, AMMs were obtained from BALF and MDMs were cultured from blood leukocytes of healthy horses. To discern individual responses, AMMs and MDMs were exposed to control medium and FLS, and surface marker expression and cytokine production were measured and compared.

Materials and methods

Horses and sampling

Six female Standardbred horses with an average age of 15.5 (± SD 4.03) years and no history of lung disease were selected from a research herd. Horses were up to date on vaccinations and anthelmintic prophylaxis, were fed grass hay and kept in an outdoor paddock with access to shelter. Physical and tracheobronchoscopic evaluations revealed no abnormalities. Baseline complete blood cell count (CBC) and serum biochemical profile results were all within reference intervals. All procedures were approved under Animal Use Protocol 3816 by the University of Guelph Animal Care Committee.

Jugular venipuncture was performed to collect consecutive 10 mL aliquots of blood into 9 EDTA tubes and 1 serum tube. For each horse, BAL was performed with standing intravenous sedation using 1.5 mL xylazine (Elanco Canada Limited) and 1 mL butorphanol tartrate (Zoetis). Approximately 450 mL of warmed sterile physiologic saline (Vetoquinol) was infused and on average 254.2 mL (± SD 40.05) of BALF was retrieved. Samples were immediately placed on ice and transported to the laboratory for processing.

Blood sample processing

Whole blood and 1 mL of serum were submitted for a CBC and serum biochemical profile to the Animal Health Laboratory, Guelph. Peripheral mononuclear cells (PBMCs) were isolated from 70 mL of EDTA-anticoagulated blood using SepMate™ PBMC isolation tubes containing Lymphoprep™ density gradient (both from Stemcell Technologies) following the manufacturer’s instructions. Separated PBMCs were resuspended in complete cell culture medium (RPMI 1640, Gibco™, Thermo Fisher Scientific, medium) supplemented with 10% heat-inactivated horse serum (Gibco™, Thermo Fisher Scientific), penicillin-streptomycin (Gibco™, ThermoFisher) and β-mercaptoethanol (Bio-Rad), seeded into a 75 cm2 cell culture flask (Nunc™, Thermo Fisher Scientific), and incubated at 37°C with 5% CO2. After 1 hour of incubation, non-adherent lymphocytes in the supernatant were removed from the flasks, and the monocytes adhering to the flask were washed 3 times with medium. Monocytes were cultured in medium for 7 days to promote differentiation into MDMs. Medium was replaced every two days. After 7 days, the number of cells was counted (Moxi™ Z Mini Automated Cell Counter, ORFLO Technologies) and adjusted to 106 cells per well before exposure to FLS.

Bronchoalveolar lavage fluid sample processing

The BALF samples were processed within 20 minutes of collection. Cytocentrifuge preparations were made for evaluation by light microscopy using 150 μL of BALF centrifuged for 6 minutes at 41 g (Shandon-Elliott cytocentrifuge SCA-0020, Shandon Scientific Co. Ltd.), rapidly dried and stained with a modified Wright stain (Thermo Fisher Scientific) after which a 500-cell differential count was performed. The remaining BALF was aliquoted into 50 mL conical tubes (Falcon™, Thermo Fisher Scientific) and centrifuged at 400 g for 10 minutes at room temperature. Supernatant was decanted and the cell pellet was washed three times in sterile phosphate-buffered saline (PBS) and resuspended in complete medium. To purify AMMs from other alveolar leukocytes, 108 cells were seeded into a 75 cm2 cell culture flask (Nunc, Thermo Fisher Scientific) and cultured at 37°C with 5% CO2 for 4 hours. Cell culture supernatant containing non-adherent cells was then removed and fresh complete medium was added. Adherent macrophages were then detached with TrypLE™ Select Enzyme (10X, Thermo Fisher Scientific) and counted (Moxi™ Z Mini Automated Cell Counter, ORFLO Technologies). In duplicate, wells of a 6-well cell culture plate containing 2 mL complete medium were seeded with 106 AMMs. After overnight incubation, cell culture supernatant was removed, and FLS or media was added.

Exposure material

Duplicate cultures of AMMs and MDMs were exposed to a mixture of 106/mL Aspergillus fumigatus spores, 100 ng/mL LPS (Invitrogen™ eBioscience™, Thermo Fisher Scientific), and 106/mL silica microspheres (Polysciences, Inc) [8]. This challenge material (FLS) was prepared in 2 mL serum-free RPMI. The control condition was incubation with serum-free RPMI without FLS. After 6 hours [41] of incubation at 37°C with 5% CO2 [42, 43] 1 mL of cell culture supernatant was collected and stored at -80°C for cytokine quantification. Cells were enzymatically (TrypLE™ Select) detached for flow cytometric analysis.

Flow cytometry

Detached cells were transferred into 1.5 mL microcentrifuge tubes and centrifuged at 400 g for 3 minutes at 4°C. Supernatant was removed and cells were washed with 200 μL flow buffer (PBS containing 2% heat inactivated horse serum, 10 mM EDTA, and 0.2% sodium azide) at 400 g for 3 minutes at 4°C. After decanting off the supernatant, samples were incubated on ice for 15 minutes with a viability dye (Zombie NIR, BioLegend). For multi-color immunostaining, each sample was sequentially incubated using previously validated antibodies [11], on ice for 15 minutes, with wash steps as described above. Antibodies included: mouse anti-human CD163 (clone Ber-Mac3, 0.005 μg/μL, Novus Biologicals) [11, 44], secondary antibody rat anti-mouse IgG1 PE-CY7 (clone M1-14D12, 0.001 μg/μL, Thermo Fisher Scientific), and mouse anti-human CD206 PE (clone 3.29B1, 1.0 μg/μL, Beckman Coulter) [11, 44, 45]. After the final wash, cell pellets were resuspended in 1 mL of flow buffer and interrogated using a FACSCanto II flow cytometer (BD) with collection of 20,000 events. Flow cytometry data were analyzed using FlowJo v.10.8.1 (BD). Initial gating ensured that only live singlets were selected for further analysis (S1 Fig). Median fluorescence intensity (MFI) was assumed to be proportional to the concentration of cell surface proteins.

Cytokine quantification

Cytokines in supernatant samples were measured in triplicate with a Bio-Plex® 200 Multiplex Immunoassay system (Bio-Rad), using the Equine Milliplex MAP Magnetic Bead Panel (MilliporeSigma) in accordance with the manufacturer’s instructions. The cytokines measured in this panel were IL-1β, IL-5, IL-8, IL-10, IL-12p70, interferon gamma (IFN-γ), and TNF-α. Cytokine data were initially processed using Belysa® analysis software (MilliporeSigma), where MFI was plotted on a five-parameter logistical regression of the standard curve to determine analyte concentration. Concentrations that were below half of MilliporeSigma’s stated or Belysa® analysis software-calculated limit of detection were considered undetectable and assigned a value of zero (Fig 2).

Statistical analysis

Analyses were performed using SAS version 9.4 (Cary, NC, USA). To account for the inter-horse variability within the experiment, a one-factor factorial in a randomized complete block design was used, with individual horses as the random block and cell treatment as the fixed-effect factor.

Residual analyses were performed to assess the ANOVA assumptions. This included testing for normality with Shapiro-Wilk, Kolmogorov-Smirnov, Cramer-von Mises, and Anderson-Darling tests, and plotting the residuals against both the predicted values and explanatory variables used in the model. These analyses were used to reveal outliers, unequal variances, or the need for data transformation. Statistical significance was set at p ≤ 0.05.

Results

Bronchoalveolar lavage fluid cytology

For all horses, BALF 500-cell differential counts were interpreted to indicate absence of airway inflammation if neutrophils were ≤ 5%, mast cells ≤ 2%, and eosinophils ≤ 1% [35] (S1 Table).

Flow cytometry

For technical reasons, post-challenge MDMs from horse 1 and one sample from horse 4 were excluded from flow cytometric evaluation. Data became normally distributed after natural logarithmic transformation. In the remaining samples, and regardless of culture conditions, AMMs had significantly higher surface expression of CD163 (p < 0.001) and CD206 (p < 0.001) than MDMs (Fig 1). In AMMs, the expression of CD163 and CD206 was not altered by FLS exposure, but on MDMs, both antigens were decreased in every sample after FLS exposure, albeit in a non-statistically significant manner (p = 0.449 and 0.424, respectively) (Fig 1).

thumbnail
Fig 1. Cell surface expression of CD163 and CD206 on alveolar macrophages/monocytes and monocyte-derived macrophages exposed to an inflammatory stimulus (FLS).

There was higher expression of CD163 and CD206 on AMMs than MDMs independent of culture conditions. Expression of CD163 and CD206 was not changed in FLS-exposed AMMs, and although reduced in MDMs, the decrease was not statistically significant. The median fluorescence intensity (MFI) value was log transformed.

https://doi.org/10.1371/journal.pone.0282738.g001

Cytokine quantification

The data for IL-8 was normal, and for all other cytokines, natural logarithmic transformation was performed. Alveolar macrophages/monocytes exposed to FLS secreted IL-1β, IFN-γ, and TNF-α while those exposed to medium alone secreted none. Although challenged AMMs produced a significantly greater amount of IL-8, control AMMs also produced IL-8. In AMMs, IL-5 and IL-10 (Fig 2, S2 Table, S2 File) were undetectable in cell culture supernatant. In MDMs, FLS stimulation resulted in increased production of IL-8, IL-10, and TNF-α compared to control MDMs. Interleukin-1β, IL-5 and INF-γ were detected neither in treated nor control MDMs (Fig 2, S2 Table, S2 File). The production of IL12p70 was below the limit of detection in all groups (S2 Table, S2 File). Between-group comparisons of cytokine production before and after FLS exposure indicated that AMMs had greater production of TNF-α, whereas MDMs had greater production of IL-8 (Fig 2, S2 Table, S2 File).

thumbnail
Fig 2. Mean or median cytokine concentration in alveolar macrophage/monocyte and monocyte-derived macrophage supernatant.

Cells were incubated for 6 hours with serum-free RPMI (control) or FLS. Red asterisks indicate significant treatment effects of FLS incubation compared to control in each cell type. Blue asterisks indicate significant treatment effects of FLS between cell types. ND indicates non-detectable cytokine concentration.

https://doi.org/10.1371/journal.pone.0282738.g002

Discussion

The current study was an in vitro comparison of the responses of healthy horse AMMs obtained from BALF and macrophages differentiated from blood monocytes to agents known to cause exacerbation of SEA in susceptible horses (FLS). In healthy horses, macrophages from BALF were 70% AMs and 30% monocytes, and those monocytes were intermediate or non-classical [25]. In contrast, 90% of monocytes in equine whole blood were classical [23]. In addition, in our study, BALF-derived AMMs, were exposed to FLS shortly after isolation, whereas the blood-derived monocytes were cultured for 7 days to induce differentiation before exposure. Therefore, although monocytes were likely present in the BALF pool, due to their presumed low concentration, we considered BALF-derived macrophages as a bulk AM population and used it as one model.

The findings in this study confirm the hypothesis that AMMs and MDMs have differing immunophenotypes and cytokine responses to FLS exposure. By flow cytometry, significant differences in surface expression of CD163 and CD206 were identified between AMMs and MDMs as groups. With FLS stimulation, overall cytokine production in both AMMs and MDMs suggested a proinflammatory response, although cytokine patterns differed slightly between cell types. These results imply differing roles for AMMs and MDMs in initiating and modulating inflammatory responses in the early stages of lung inflammation.

In the present study, healthy horse-origin AMMs had an overall higher expression of CD163 and CD206 than MDMs. Among other functions, a major role of CD163 is to bind bacteria, and of CD206, to mediate phagocytosis of bacteria and fungi [46]. Greater expression of these receptors might indicate that AMMs are more efficient phagocytes than MDMs [47]. In other species, upregulation of both receptors indicated an anti-inflammatory phenotype [48, 49], and macrophages expressing CD163 played a role in resolution of inflammation [50]. In general, AMMs might have a greater role than MDMs in restricting inflammation, whereas MDMs may have a more proinflammatory phenotype and therefore an important role in the pathogenesis of inflammatory and degenerative lung diseases [51].

Expression of CD163 and CD206 on AMMs and MDMs was minimally affected by 6 hours’ exposure to FLS. Although reduced CD163 and CD206 expression was detected on MDMs it was not statistically significant. Cell surface protein expression is affected by cytokines, and changes at different stages of inflammation. For instance, human monocytes and macrophages cultured with IL-10 had upregulated CD163 expression, whereas IFN-γ exposure was associated with CD163 downregulation [14], and stimulation with LPS increased the surface expression of CD163 and decreased the expression of CD206 [13]. However, the precise mechanisms behind this regulation remain unknown [52]. In addition to the cell membrane form, CD163 and CD206 can be shed upon bacterial stimulation, generating soluble forms [5355], which can be used as biomarkers for different diseases [5658]. In this study, AMM and MDM responses were determined for a short interval in vitro, and the soluble forms of these proteins were not measured [11]. Therefore, the minimal effect of FLS on the expression of CD163 and CD206 might be because the short incubation time was insufficient to consistently alter the expression of cell surface proteins, or the proteins were released from the cell membrane.

Macrophages regulate the immune system by releasing cytokines. The bead-based multiplex assay used in this study allowed sensitive and simultaneous measurements of multiple cytokines in a small volume of solution [59, 60]. The individual components of the FLS challenge material may have been recognized by several receptors on macrophages, including those for signal transduction or phagocytosis. For example, activation of dectin-1 through recognition of β-glucan on fungal spores results in an increased phagocytic and proinflammatory response [27, 29]. In the current work, these effects were evidenced by secretion of multiple proinflammatory cytokines from both AMMs and MDMs. Additionally, production of the potent proinflammatory cytokine, TNF-α, by both AMMs and MDMs likely resulted from the recognition of LPS by TLR-4, which drives signal transduction mainly via the MyD88 pathway resulting in NF-κB activation [6163]. Finally, in humans, phagocytosis of silica by AMMs induced activation of the inflammasome, which cleaved pro-IL-1β into proinflammatory IL-1β [64]. Therefore, the silica microspheres included in the challenge material likely contributed to the secretion of IL-1β from AMMs incubated with FLS.

Macrophage behaviour is highly influenced by the presence of IFN-γ, a powerful driver of a proinflammatory macrophage phenotype [6567], and production of IFN-γ by BALF cells was a feature of horses in exacerbation of SEA [38]. Although T cells and natural killer cells are major sources of IFN-γ, human AMs also produced IFN-γ when stimulated with IL-12 and IL-18 [68, 69]. In the present study, AMMs from four horses secreted IFN-γ in response to FLS exposure although the concentrations were below the stated limit of detection of the assay. While other researchers detected increased gene expression of IL-10 in equine AMs after hay dust challenge [42, 70], IFN-γ and IL-10 counteract one another [68, 71]. In the current study, self-supplementation with IFN-γ likely explains the absence of IL-10 in the culture supernatant from AMMs after FLS exposure. In contrast to AMMs, MDMs did not produce IFN-γ and had increased IL-10 secretion with FLS stimulation suggesting an inability to initiate IFN-γ-derived immune responses. These findings suggest that recruited monocytes may also promote an anti-inflammatory milieu in the early inflammatory response, and also highlight the importance of direct protein measurement in cell function studies.

Increased production of neutrophil chemotactic compounds such as IL-8 play an important role in the pathogenesis of SEA [38, 40, 72]. Neutrophil release of elastases and other compounds leads to the tissue damage and remodelling characteristic of SEA [73]. Because of the LPS content of FLS, it was expected that both AMMs and MDMs would have significantly increased IL-8 production after exposure. However, unstimulated AMMs had considerable innate secretion of IL-8, which increased significantly but not as markedly as post-FLS exposure MDM IL-8 production. This finding is similar to work that identified substantial basal secretion of IL-8 by human AMs that increased only moderately after stimulation with LPS [74]. Basal IL-8 secretion by AMMs differentiates them from MDMs, and might be due to the priming effect of constant inhalation of airborne agents [31]. Alternately, AMMs might be reactive to the plastic culture flask or the act of adherence itself may stimulate AMM release of IL-8 [74]; however, the effects of these latter two processes have not been studied.

The lack of IL-5 detection across cell types and exposure conditions was expected because IL-5 is not produced by macrophages [75], therefore, the inclusion of IL-5 in this cytokine panel functioned as an additional negative control.

In this study, AMMs and MDMs derived from healthy horses each displayed a distinct immunophenotype and cytokine production profile. Few studies have investigated functional and phenotypic differences between equine macrophage subpopulations. However, similar to the present work, AMs from young horses had higher TNF-α gene expression and lower IL-10 expression than MDMs after infection with virulent Rhodococcus equi [76]. A comparison between equine AMs and peritoneal macrophages showed that AMs had higher intrinsic surface expression of CD163 than peritoneal macrophages, and AMs had increased production of TNF-α while peritoneal macrophages did not [77]. When stimulated with LPS, AMs and blood mononuclear cells differed in their IL-8 and IL12p40 gene expression [78, 79]. These findings along with the results of the present study highlight the unique attributes of different cell types from the macrophage lineage. Therefore, future work must account for the differences between macrophage subpopulations in investigations of macrophage function in the pathogenesis of equine disease.

In conclusion, this study identified unique immunophenotypes and cytokine production in AMMs and MDMs in response to an inflammatory stimulus. Alveolar macrophages had higher surface expression of CD163 and CD206. When stimulated with FLS, AMMs released IL-1β, IL-8, INF-γ and TNF-α, and MDMs produced IL-8, IL-10 and TNF-α, suggesting the potential for differing roles in the modulation of lower airway inflammation in horses.

Supporting information

S1 Fig. Flow cytometric analysis of equine alveolar macrophages after exposure to antigen challenge mixture.

Monocyte-derived macrophages were uniform based on light scatter properties, thus a flow cytometry plot with their gating strategy is not provided. A: Cells were separated from debris based on size (forward scatter, FSC) and internal complexity (side scatter, SSC). B: Singlets, i.e., cells that passed through the laser beam one at a time were selected. C: Live cells were identified based on their negativity for the viability dye. D. Unstained control. E. Dual stained sample. The challenge mixture was composed of 106/mL Aspergillus fumigatus spores, 100 ng/mL LPS and 106/mL silica microspheres in 2 mL serum-free RPMI.

https://doi.org/10.1371/journal.pone.0282738.s001

(TIF)

S1 File. Raw data for flow cytometry assay.

https://doi.org/10.1371/journal.pone.0282738.s002

(XLSX)

S1 Table. Cellular composition of bronchoalveolar lavage fluid.

https://doi.org/10.1371/journal.pone.0282738.s004

(DOCX)

S2 Table. P-values comparing cytokine production in different cell culture conditions.

https://doi.org/10.1371/journal.pone.0282738.s005

(DOCX)

Acknowledgments

The authors thank Dr. Dana Patcas (MilliporeSigma) for technical assistance with the cytokine assays.

References

  1. 1. Byrne AJ, Mathie SA, Gregory LG, Lloyd CM. Pulmonary macrophages: Key players in the innate defence of the airways. Thorax. 2015;70: 1189–1196. pmid:26286722
  2. 2. Joshi N, Walter JM, Misharin A V. Alveolar Macrophages. Cell Immunol. 2018;330: 86–90. pmid:29370889
  3. 3. Hashimoto D, Chow A, Noizat C, Teo P, Beasley MB, Leboeuf M, et al. Tissue-resident macrophages self-maintain locally throughout adult life with minimal contribution from circulating monocytes. Immunity. 2013;38: 792–804. pmid:23601688
  4. 4. Gentek R, Molawi K, Sieweke MH. Tissue macrophage identity and self-renewal. Immunol Rev. 2014;262: 56–73. pmid:25319327
  5. 5. Epelman S, Lavine KJ, Randolph GJ. Origin and Functions of Tissue Macrophages. Immunity. 2014;41: 21–35. pmid:25035951
  6. 6. Garbi N, Lambrecht BN. Location, function, and ontogeny of pulmonary macrophages during the steady state. Pflugers Arch Eur J Physiol. 2017;469: 561–572. pmid:28289977
  7. 7. Gwyer Findlay E, Hussell T. Macrophage-mediated inflammation and disease: A focus on the lung. Mediators Inflamm. 2012;2012. pmid:23304058
  8. 8. Beeler-Marfisi J, Clark ME, Wen X, Sears W, Huber L, Ackerley C, et al. Experimental induction of recurrent airway obstruction with inhaled fungal spores, lipopolysaccharide, and silica microspheres in horses. Am J Vet Res. 2010;71: 682–689. pmid:20513185
  9. 9. Ainsworth DM, Wagner B, Erb HN, Young JC, Retallick DE. Effects of in vitro exposure to hay dust on expression of interleukin-17, -23, -8, and -1β and chemokine (C-X-C motif) ligand 2 by pulmonary mononuclear cells isolated from horses chronically affected with recurrent airway disease. Am J Vet Res. 2007;68: 1361–1369. pmid:18052742
  10. 10. Pirie RS, McLachlan G, McGorum BC. Evaluation of nebulised hay dust suspensions (HDS) for the diagnosis and investigation of heaves. 1: Preparation and composition of HDS. Equine Vet J. 2002;34: 332–336. pmid:12117103
  11. 11. Kang H, Bienzle D, Lee GKC, Piché É, Viel L, Odemuyiwa SO, et al. Flow cytometric analysis of equine bronchoalveolar lavage fluid cells in horses with and without severe equine asthma. Vet Pathol. 2021. pmid:34521286
  12. 12. Buechler C, Eisinger K, Krautbauer S. Diagnostic and Prognostic Potential of the Macrophage Specific Receptor CD163 in Inflammatory Diseases. Inflamm Allergy-Drug Targets. 2013;12: 391–402. pmid:24090317
  13. 13. Alves-Januzzi AB, Brunialti MKC, Salomao R. CD163 and CD206 expression does not correlate with tolerance and cytokine production in LPS-tolerant human monocytes. Cytometry B Clin Cytom. 2017;92: 192–199. pmid:26352275
  14. 14. Buechler C, Ritter M, Orsó E, Langmann T, Klucken J, Schmitz G. Regulation of scavenger receptor CD163 expression in human monocytes and macrophages by pro- and antiinflammatory stimuli. J Leukoc Biol. 2000;67: 97–103. pmid:10648003
  15. 15. Nawaz A, Aminuddin A, Kado T, Takikawa A, Yamamoto S, Tsuneyama K, et al. CD206 + M2-like macrophages regulate systemic glucose metabolism by inhibiting proliferation of adipocyte progenitors. Nat Commun. 2017;8: 1–15. pmid:28819169
  16. 16. Lee JW, Chun W, Lee HJ, Min JH, Kim SM, Seo JY, et al. The role of macrophages in the development of acute and chronic inflammatory lung diseases. Cells. 2021;10. pmid:33919784
  17. 17. van der Veen TA, de Groot LES, Melgert BN. The different faces of the macrophage in asthma. Curr Opin Pulm Med. 2020;26: 62–68. pmid:31703000
  18. 18. Tokunaga Y, Imaoka H, Kaku Y, Kawayama T, Hoshino T. The significance of CD163-expressing macrophages in asthma. Ann Allergy, Asthma Immunol. 2019;123. pmid:31152786
  19. 19. van Furth R. Origin and Kinetics of Mononuclear Phagocytes. Ann N Y Acad Sci. 1968;278: 161–175.
  20. 20. Hume DA, Irvine KM, Pridans C. The Mononuclear Phagocyte System: The Relationship between Monocytes and Macrophages. Trends Immunol. 2019;40: 98–112. pmid:30579704
  21. 21. Landsman L, Jung S. Lung Macrophages Serve as Obligatory Intermediate between Blood Monocytes and Alveolar Macrophages. J Immunol. 2007;179: 3488–3494. pmid:17785782
  22. 22. Landsman L, Varol C, Jung S. Distinct Differentiation Potential of Blood Monocyte Subsets in the Lung. J Immunol. 2007;178: 2000–2007. pmid:17277103
  23. 23. Ożańska A, Szymczak D, Rybka J. Pattern of human monocyte subpopulations in health and disease. Scand J Immunol. 2020;92: 1–13. pmid:32243617
  24. 24. Gressler AE, Lübke S, Wagner B, Arnold C, Lohmann KL, Schnabel CL. Comprehensive Flow Cytometric Characterization of Bronchoalveolar Lavage Cells Indicates Comparable Phenotypes Between Asthmatic and Healthy Horses But Functional Lymphocyte Differences. 2022;13: 1–17. pmid:35874777
  25. 25. Sage SE, Nicholson P, Peters LM, Leeb T, Jagannathan V, Gerber V. Single-cell gene expression analysis of cryopreserved equine bronchoalveolar cells. Front Immunol. 2022;13: 1–18. pmid:36105804
  26. 26. Arora S, Dev K, Agarwal B, Das P, Syed MA. Macrophages: Their role, activation and polarization in pulmonary diseases. Immunobiology. 2018. pp. 383–396. pmid:29146235
  27. 27. Hohl TM, Van Epps HL, Rivera A, Morgan LA, Chen PL, Feldmesser M, et al. Aspergillus fumigatus triggers inflammatory responses by stage-specific β-glucan display. PLoS Pathog. 2005;1: 0232–0240. pmid:16304610
  28. 28. Loures F V., Araújo EF, Feriotti C, Bazan SB, Costa TA, Brown GD, et al. Dectin-1 induces M1 macrophages and prominent expansion of CD8 +IL-17+ cells in pulmonary paracoccidioidomycosis. J Infect Dis. 2014;210: 762–773. pmid:24604821
  29. 29. Laan TTJM, Bull S, Pirie RS, Fink-Gremmels J. Evaluation of cytokine production by equine alveolar macrophages exposed to lipopolysaccharide, aspergillus fumigatus, and a suspension of hat dust. Am J Vet Res. 2005;66: 1584–1589. pmid:16261833
  30. 30. Park BS, Lee JO. Recognition of lipopolysaccharide pattern by TLR4 complexes. Exp Mol Med. 2013;45: e66–9. pmid:24310172
  31. 31. Hussell T, Bell TJ. Alveolar macrophages: Plasticity in a tissue-specific context. Nat Rev Immunol. 2014;14: 81–93. pmid:24445666
  32. 32. Misharin A V., Morales-Nebreda L, Reyfman PA, Cuda CM, Walter JM, McQuattie-Pimentel AC, et al. Monocyte-derived alveolar macrophages drive lung fibrosis and persist in the lung over the life span. J Exp Med. 2017;214: 2387–2404. pmid:28694385
  33. 33. Niessen NM, Baines KJ, Simpson JL, Scott HA, Qin L, Gibson PG, et al. Neutrophilic asthma features increased airway classical monocytes. Clin Exp Allergy. 2021;51. pmid:33301598
  34. 34. Maus UA, Janzen S, Wall G, Srivastava M, Blackwell TS, Christman JW, et al. Resident alveolar macrophages are replaced by recruited monocytes in response to endotoxin-induced lung inflammation. Am J Respir Cell Mol Biol. 2006;35: 227–235. pmid:16543608
  35. 35. Couëtil LL, Cardwell JM, Gerber V, Lavoie JP, Léguillette R, Richard EA. Inflammatory Airway Disease of Horses-Revised Consensus Statement. J Vet Intern Med. 2016;30: 503–515. pmid:26806374
  36. 36. Bond S, Léguillette R, Richard EA, Couetil L, Lavoie J-P, Martin JG, et al. Equine asthma: Integrative biologic relevance of a recently proposed nomenclature. J Vet Intern Med. 2018; 1–11. pmid:30294851
  37. 37. Hotchkiss JW, Reid SWJ, Christley RM. A survey of horse owners in Great Britain regarding horses in their care. Part 2: Risk factors for recurrent airway obstruction. Equine Vet J. 2007;39: 301–308. pmid:17722720
  38. 38. Ainsworth DM, Grünig G, Matychak MB, Young J, Wagner B, Erb HN, et al. Recurrent airway obstruction (RAO) in horses is characterized by IFN-γ and IL-8 production in bronchoalveolar lavage cells. Vet Immunol Immunopathol. 2003;96: 83–91. pmid:14522137
  39. 39. Nolen-Walston RD, Harris M, Agnew ME, Martin BB, Reef VB, Boston RC, et al. Airway Disease Subtypes in Horses Examined. J Am Vet Med Assoc. 2013;242.
  40. 40. Franchini M, Gill U, Von Fellenberg R, Bracher VD. Interleukin-8 concentration and neutrophil chemotactic activity in bronchoalveolar lavage fluid of horses with chronic obstructive pulmonary disease following exposure to hay. Am J Vet Res. 2000;61: 1369–1374. pmid:11108181
  41. 41. Odemuyia SO. Immunophenotypic Characteristics of Equine Monocytes and Alveolar Macrophages. 2012; 106.
  42. 42. Laan TTJM, Bull S, Pirie R, Fink-Gremmels J. The role of alveolar macrophages in the pathogenesis of recurrent airway obstruction in horses. J Vet Intern Med. 2006;20: 167–174. pmid:16496937
  43. 43. Karagianni AE, Kapetanovic R, Summers KM, McGorum BC, Hume DA, Pirie RS. Comparative transcriptome analysis of equine alveolar macrophages. Equine Vet J. 2017;49: 375–382. pmid:27096353
  44. 44. Steinbach F, Stark R, Ibrahim S, Gawad EA El, Ludwig H, Walter J, et al. Molecular cloning and characterization of markers and cytokines for equid myeloid cells. Veterinary Immunology and Immunopathology. 2005. pmid:16112744
  45. 45. Ziegler A, Everett H, Hamza E, Garbani M, Gerber V, Marti E, et al. Equine dendritic cells generated with horse serum have enhanced functionality in comparison to dendritic cells generated with fetal bovine serum. BMC Vet Res. 2016;12. pmid:27846835
  46. 46. Martinez-Pomares L. The mannose receptor. J Leukoc Biol. 2012;92: 1177–1186. pmid:22966131
  47. 47. Schulz C, Perdiguero EG, Chorro L, Szabo-Rogers H, Cagnard N, Kierdorf K, et al. A lineage of myeloid cells independent of myb and hematopoietic stem cells. Science (80-). 2012;335: 86–90. pmid:22442384
  48. 48. Goerdt S, Orfanos CE. Other functions, other genes: Alternative activation of antigen- presenting cells. Immunity. 1999. pp. 137–142. pmid:10072066
  49. 49. Gordon S. Alternative activation of macrophages. Nature Reviews Immunology. 2003. pp. 23–35. pmid:12511873
  50. 50. Fabriek BO, Dijkstra CD, van den Berg TK. The macrophage scavenger receptor CD163. Immunobiology. 2005. pp. 153–160. pmid:16164022
  51. 51. Shi C, Pamer EG. Monocyte recruitment during infection and inflammation. Nat Rev Immunol. 2011;11: 762–774. pmid:21984070
  52. 52. Kaku Y, Imaoka H, Morimatsu Y, Komohara Y, Ohnishi K, Oda H, et al. Overexpression of CD163, CD204 and CD206 on alveolar macrophages in the lungs of patients with severe chronic obstructive pulmonary disease. PLoS One. 2014;9: 1–8. pmid:24498098
  53. 53. Kazuo T, Suzuki Y, Yoshimura K, Yasui H, Karayama M, Hozumi H, et al. Macrophage Mannose Receptor CD206 Predicts Prognosis in Community-acquired Pneumonia. Sci Rep. 2019;9: 1–10. pmid:31822747
  54. 54. Weaver LK, Hintz-Goldstein KA, Pioli PA, Wardwell K, Qureshi N, Vogel SN, et al. Pivotal Advance: Activation of cell surface Toll-like receptors causes shedding of the hemoglobin scavenger receptor CD163. J Leukoc Biol. 2006;80: 26–35. pmid:16799153
  55. 55. Chauvin P, Morzadec C, de Latour B, Llamas-Gutierrez F, Luque-Paz D, Jouneau S, et al. Soluble CD163 is produced by monocyte-derived and alveolar macrophages, and is not associated with the severity of idiopathic pulmonary fibrosis. Innate Immun. 2022;28: 138–151. pmid:35522300
  56. 56. Matute-Blanch C, Montalban X, Comabella M. Multiple sclerosis, and other demyelinating and autoimmune inflammatory diseases of the central nervous system. Handbook of Clinical Neurology. 2017. pmid:29110780
  57. 57. Yu X, Guo C, Fisher PB, Subjeck JR, Wang XY. Scavenger Receptors: Emerging Roles in Cancer Biology and Immunology. Advances in Cancer Research. 2015. pmid:26216637
  58. 58. Edelstein CL. Biomarkers of Acute Kidney Injury. Adv Chronic Kidney Dis. 2008;15. pmid:18565474
  59. 59. Curto E, Messenger KM, Salmon JH, Gilger BC. Cytokine and chemokine profiles of aqueous humor and serum in horses with uveitis measured using multiplex bead immunoassay analysis. Vet Immunol Immunopathol. 2016;182: 43–51. pmid:27863549
  60. 60. Zak A, Siwinska N, Elzinga S, Barker VD, Stefaniak T, Schanbacher BJ, et al. Effects of advanced age and pituitary pars intermedia dysfunction on components of the acute phase reaction in horses. Domest Anim Endocrinol. 2020;72: 106476. pmid:32380311
  61. 61. Figueiredo MD, Vandenplas ML, Hurley DJ, Moore JN. Differential induction of MyD88- and TRIF-dependent pathways in equine monocytes by Toll-like receptor agonists. Vet Immunol Immunopathol. 2009;127: 125–134. pmid:19019456
  62. 62. Karagianni AE, Lisowski ZM, Hume DA, Scott Pirie R. The equine mononuclear phagocyte system: The relevance of the horse as a model for understanding human innate immunity. Equine Vet J. 2021;53: 231–249. pmid:32881079
  63. 63. Kawai T, Akira S. Toll-like Receptors and Their Crosstalk with Other Innate Receptors in Infection and Immunity. Immunity. 2011;34: 637–650. pmid:21616434
  64. 64. Pollard KM. Silica, silicosis, and autoimmunity. Front Immunol. 2016;7: 1–7. pmid:27014276
  65. 65. Schroder K, Hertzog PJ, Ravasi T, Hume DA. Interferon-γ: an overview of signals, mechanisms and functions. J Leukoc Biol. 2004;75: 163–189. pmid:14525967
  66. 66. Mantovani A, Biswas SK, Galdiero MR, Sica A, Locati M. Macrophage plasticity and polarization in tissue repair and remodelling. Journal of Pathology. 2013. pp. 176–185. pmid:23096265
  67. 67. Eichinger KM, Egaña L, Orend JG, Resetar E, Anderson KB, Patel R, et al. Alveolar macrophages support interferon gamma-mediated viral clearance in RSVinfected neonatal mice. Respir Res. 2015;16: 1–13. pmid:26438053
  68. 68. Fenton MJ, Vermeulen MW, Kim S, Burdick M, Strieter RM, Kornfeld H. Induction of gamma interferon production in human alveolar macrophages by Mycobacterium tuberculosis. Infect Immun. 1997;65: 5149–5156. pmid:9393809
  69. 69. Darwich L, Coma G, Peña R, Bellido R, Blanco EJJ, Este JA, et al. Secretion of interferon-γ by human macrophages demonstrated at the single-cell level after costimulation with interleukin (IL)-12 plus IL-18. Immunology. 2009;126: 386–393. pmid:18759749
  70. 70. Wilson ME, McCandless EE, Olszewski MA, Robinson NE. Alveolar macrophage phenotypes in severe equine asthma. Vet J. 2020;256: 105436. pmid:32113585
  71. 71. Hu X, Paik PK, Chen J, Yarilina A, Kockeritz L, Lu TT, et al. IFN-γ Suppresses IL-10 Production and Synergizes with TLR2 by Regulating GSK3 and CREB/AP-1 Proteins. Immunity. 2006;24: 563–574. pmid:16713974
  72. 72. Aharonson-Raz K, Singh B. Pulmonary intravascular macrophages and endotoxin-induced pulmonary pathophysiology in horses. Can J Vet Res. 2010;74: 45–49. pmid:20357958
  73. 73. Cavarra E, Martorana PA, Gambelli F, De Santi M, Van Even P, Lungarella G. Neutrophil recruitment into the lungs is associated with increased lung elastase burden, decreased lung elastin, and emphysema in α1 proteinase inhibitor-deficient mice. Lab Investig. 1996;75: 273–280.
  74. 74. Losa García JE, Rodríguez FM, Martín De Cabo MR, García Salgado MJ, Losada JP, Villarón LG, et al. Evaluation of inflammatory cytokine secretion by human alveolar macrophages. Mediators Inflamm. 1999;8: 43–51. pmid:10704089
  75. 75. Takatsu K. Interleukin-5 and IL-5 receptor in health and diseases. Proc Japan Acad Ser B Phys Biol Sci. 2011;87: 463–485. pmid:21986312
  76. 76. Berghaus LJ, Giguère S, Sturgill TL. Effects of age and macrophage lineage on intracellular survival and cytokine induction after infection with Rhodococcus equi. Vet Immunol Immunopathol. 2014;160: 41–50. pmid:24736188
  77. 77. Karagianni AE, Kapetanovic R, McGorum BC, Hume DA, Pirie SR. The equine alveolar macrophage: Functional and phenotypic comparisons with peritoneal macrophages. Vet Immunol Immunopathol. 2013;155: 219–228. pmid:23978307
  78. 78. Grünig G, Hulliger C, Winder C, Hermann M, Jungi TW, von Fellenberg R. Spontaneous and lipopolysaccharide-induced expression of procoagulant activity by equine lung macrophages in comparison with blood monocytes and blood neutrophils. Vet Immunol Immunopathol. 1991;29: 295–311. pmid:1949591
  79. 79. Jackson KA, Stott JL, Horohov DW, Watson JL. IL-4 induced CD23 (FcεRII) up-regulation in equine peripheral blood mononuclear cells and pulmonary alveolar macrophages. Vet Immunol Immunopathol. 2004;101: 243–250. pmid:15350754