Impact Factor 5.511
2017 JCR, Clarivate Analytics 2018

Among the world's top 10 most-cited Immunology journals

Original Research ARTICLE

Front. Immunol., 27 November 2018 | https://doi.org/10.3389/fimmu.2018.02764

Dynamics of Colon Monocyte and Macrophage Activation During Colitis

Gareth-Rhys Jones1,2, Calum C. Bain3, Thomas M. Fenton1, Aoife Kelly1,4, Sheila L. Brown1, Alasdair C. Ivens2, Mark A. Travis1,4, Peter C. Cook1* and Andrew S. MacDonald1*
  • 1Lydia Becker Institute of Immunology and Inflammation, Manchester Collaborative Centre for Inflammation Research, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom
  • 2Institute of Immunology and Infection Research, University of Edinburgh, Edinburgh, United Kingdom
  • 3Medical Research Council Centre for Inflammation at the University of Edinburgh, Queens Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
  • 4Faculty of Biology, Medicine and Health, Wellcome Trust Centre for Cell-Matrix Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom

Background: Macrophages are pivotal in coordinating a range of important processes in the intestines, including controlling intracellular infections and limiting damaging inflammation against the microbiota. However, it is not clear how gut macrophages, relative to recruited blood monocytes and other myeloid cells, contribute to the intestinal inflammatory milieu, nor how macrophages and their monocyte precursors mediate recruitment of other immune cells to the inflamed intestine.

Methods: Myeloid cell populations isolated from colonic inflammatory bowel disease (IBD) or murine dextran sulphate sodium (DSS) induced colitis were assessed using flow cytometry and compared to healthy controls. In addition, mRNA expression profiles in human and murine colon samples, and in macrophages and monocytes from healthy and inflamed murine colons, were analysed by quantitative PCR (qPCR) and mRNA microarray.

Results: We show that the monocyte:macrophage balance is disrupted in colon inflammation to favour recruitment of CD14+HLA-DRInt cells in humans, and Ly6CHi monocytes in mice. In addition, we identify that murine blood monocytes receive systemic signals enabling increased release of IL-1β prior to egress from the blood into the colon. Further, once within the colon and relative to other myeloid cells, monocytes represent the dominant local source of both IL-1β and TNF. Finally, our data reveal that, independent of inflammation, murine colon macrophages act as a major source of Ccl7 and Ccl8 chemokines that trigger further recruitment of their pro-inflammatory monocyte precursors.

Conclusions: Our work suggests that strategies targeting macrophage-mediated monocyte recruitment may represent a promising approach for limiting the chronic inflammation that characterises IBD.

Introduction

The gastrointestinal (GI) tract is exposed to the greatest antigenic burden in the body, which poses a significant challenge to the many resident immune cells (1). Macrophages form the largest component of the intestinal mononuclear phagocyte system and play a pivotal role in mediating immune homeostasis (2). The IBDs, including ulcerative colitis (UC) and Crohn's disease (CD), are characterised by a disturbed immunological homeostasis in genetically susceptible individuals, although the exact aetiology is unknown (35).

It has recently been shown that murine intestinal macrophages are continually repopulated from circulating blood monocytes, identified by expression of the cell surface markers Ly6C, CCR2, and CD62L (6). However, the functions of mature intestinal macrophages and recruited monocytes are strikingly different. Intestinal macrophages display a “tolerant” phenotype, poorly responsive to toll like receptor (TLR) ligands (vital to avoid triggering inflammatory responses while scavenging commensal bacteria) whilst maintaining a homeostatic environment via IL-10 and PGE2 production (7). In contrast, murine colon monocytes are pro-inflammatory but infrequent in the steady state, increasing during inflammation (2, 810).

Previous studies have shown the accumulation of human CD14Hi or CD14+HLA-DRInt cells in the GI tract lamina propria (LP) during inflammation (2, 6, 1114). Results from murine studies (2) combined with the observation of radiolabelled blood monocytes in the inflamed intestinal mucosa of IBD patients (15), indicate that increased LP inflammatory mononuclear cells are a result of monocyte recruitment, rather than expansion of a tissue resident macrophage population. Therefore, as monocytes and macrophages are considered potential cellular targets for therapy in limiting damaging host responses in intestinal disease (16), there is an urgent need to improve the resolution of these events in the mucosal tissue.

The surface phenotype of immune cells is dependent on their location in the GI tract, which is critical when interpreting previous studies. For example, both small intestine and colon macrophages display high expression of MHC-II, CD163, and (in mice) CX3CR1, while colon macrophages express greater levels of acid phosphatase, CD40, CCR5, and formyl peptide receptor (1719). Similarly a recent seminal study of genotype-phenotype in IBD highlighted how disease location in the GI tract strongly correlates with genetic susceptibility (20). As such, the mechanisms underlying intestinal inflammation are likely to vary depending on the GI tract location, for example small intestine vs. large intestine. Human data thus far has been largely limited to combined surgical resections from both large and small intestine from IBD patients or healthy patients undergoing resection for another indication (such as urostomy formation) (2, 12, 14, 21, 22). Therefore, it is not clear which facets of the colon immune response contribute to the inflammatory phenotype previously reported for IBD.

We have utilised targeted human colon biopsies to assess monocyte:macrophage balance during colon inflammation in patients with IBD vs. healthy controls, alongside complementary work using the murine DSS model of colitis. A combination of multi-parameter flow cytometry, qPCR, and mRNA microarrays were used to define disruption of the resting monocyte:macrophage balance, with influx of CD14+HLA-DRInt cells or Ly6CHi monocytes in humans and mice, respectively.

Whilst monocytes are thought to be important inflammatory cytokine producing cells, their contribution to the inflammatory milieu relative to other myeloid cells in the gut is not known. We show that in murine colitis, colon monocytes represent the key myeloid source of IL-1β. Although TNF+ monocytes also expanded in response to DSS, overall TNF+ myeloid cells were less frequent than IL-1β+ cells. In addition, blood monocytes produced significantly greater IL-1β but not TNF during DSS colitis when stimulated with LPS, suggesting this pro-inflammatory potential is enhanced even before leaving the blood.

Further, we have defined for the first time transcriptomic differences associated with monocyte-macrophage maturation and inflammation in murine colon macrophage and monocyte populations from steady state and DSS colitis. Intriguingly, the genes most up-regulated comparing monocytes to macrophages were conserved in both steady state and inflammation and represented chemokines that promote monocyte recruitment, including Ccl7, Ccl8, and Ccl12 (9, 23). Lastly, we show that CCL7 and CCL8 were also markedly elevated in human biopsy material from active IBD.

Together, this suggests that in both humans and mice the tolerogenic status quo of steady state macrophages is overturned during colon inflammation to promote recruitment of their potent pro-inflammatory monocyte precursors.

Materials and Methods

Mice

Female C57BL/6 wild-type (WT) mice aged 12–22 weeks were maintained under specific pathogen free conditions (SPF) at the University of Manchester, in compliance with the United Kingdom Animals (Scientific Procedures) Act 1986. CX3CR1+gfp mice were maintained under SPF conditions at the Central Research Facility, University of Glasgow (24).

DSS Model

Mice received 2% DSS salt (reagent grade MW 36,000–50,000 kDa; MP Biomedicals, Solon OH) ad libitum in sterile drinking water for 6 days, as described previously (2).

Patients and Tissues

Flow Cytometry

Thirteen IBD (UC or CD) patients undergoing colonoscopy for disease assessment had biopsies taken from endoscopically inflamed (active IBD; 6 samples from 6 patients) or non-inflamed (quiescent IBD; 10 samples from 7 patients) colon in addition to 4 patients attending for colonoscopy for assessment of IBS symptoms (healthy controls; 4 samples from 4 patients) for flow cytometry analysis. In those patients with quiescent IBD that had more than one biopsy analysed, these were from discrete gut segments >10 cm apart as described in Table 1. Healthy control patients had a normal colonoscopy, had no other past medical history and were not ultimately diagnosed with any GI tract pathology (Table 1).

TABLE 1
www.frontiersin.org

Table 1. Flow cytometry colon biopsy sample patient demographics.

RT-qPCR

A separate group of 28 IBD (UC or CD) patients undergoing colonoscopy for disease assessment had biopsies taken from endoscopically inflamed (active IBD; 19 samples from 17 patients) or non-inflamed (quiescent IBD; 12 samples from 11 patients) colon in addition to eight patients attending for colonoscopy for assessment of IBS symptoms (healthy controls; 12 samples from 8 patients) for RNA extraction and RT-qPCR analysis. Where more than one biopsy was analysed, these were from discrete gut segments >10 cm apart as described in Supplementary Table 1. Healthy control patients had a normal colonoscopy and had no other past medical history, with only one patient ultimately given a diagnosis of IBS (Supplementary Table 1). Montreal classification and drug information were derived from review of patient records (Table 1; Supplementary Table 1).

Isolation of LP Cells

LP cells were obtained from mouse colon by enzymatic digestion as described previously (2). Human colon biopsies were incubated in Hank's balanced salt solution (HBSS), 1% Penicillin-streptomycin (PenStrep) (Sigma-Aldrich), G418 (Melford) and 1 mM DTT (Sigma-Aldrich) for 15 min followed by three 15 min washes at 37°C with rotation (200 rpm) with HBSS, PenStrep, G418 and 1 mM EDTA (Sigma-Aldrich) to remove epithelial cells. The tissue was then digested in 1 mg/ml Collagenase A (Roche) in 10% FCS RPMI, 1% PenStrep and G418 with 60 U/ml DNAse I (Sigma-Aldrich) for 1 h in a shaking incubator at 37°C. After this time, the tissue was strained through a 40 μM filter, and cells analysed by flow cytometry or lysed in RLT buffer (Qiagen) for RNA extraction.

Flow Cytometric Analysis and Sorting of Cells

0.5–2 × 106 cells were stained at 4°C as described previously using the antibodies listed in Supplementary Table 2 (6). To detect intracellular cytokines, cells were incubated in complete RPMI (Sigma-Aldrich plus 10% FCS 1% PenStrep) at 37°C in 5% CO2 for 3 h in the presence of 1 μl/ml GolgiStop (BD Biosciences). After surface staining, cells were fixed in 1% paraformaldehyde, washed in phosphate-buffered saline (PBS) and permeabilised using Cytofix/Cytoperm (BD Biosciences). After a further stain with PE anti-TNF and FITC anti-IL-1β or isotype controls for 1 h, cells were washed prior to sample acquisition. All stained samples were acquired using a LSRFortessa (BD Biosciences) and analysed using FlowJo software (TreeStar, Ashland, OR). The number of myeloid cells per mouse colon was determined by calculating the proportion of the identified populations (Figure 2A) as a proportion of Live/singlet/intact/CD45+/Lineage cells. The sum of the populations expressed in Figure 2A accounted for >97% of these cells. Myeloid population data was then expressed per mouse colon using the total cell count derived after purification.

Macrophage and monocyte populations were purified using fluorescence-activated cell sorting (FACS) for subsequent gene expression analysis. In the steady state, CD45+CD11b+CX3CR1IntLy6C+MHC-II monocytes and CD45+CD11b+CX3CR1HiLy6CMHC-II+F4/80+ macrophages were purified from CX3CR1-GFP mice as previously described (2). In DSS colitis, CD45+Ly6GSiglec-FCD11b+Ly6C+MHC-II+/− monocytes and CD45+Ly6GSiglec-FCD11b+Ly6CMHC-II+F4/80+ macrophages were sorted from C57BL/6 mice that had been exposed to DSS for 6 days.

Murine Blood Monocyte Isolation

Blood was obtained by cardiac puncture and combined with 200 μl of 2 mM EDTA 3% FCS in PBS to prevent coagulation. Serum was aspirated after pelleting of whole blood at 500 G, 4°C for 5 min before re-suspension of haematocrit in 5 ml red cell lysis buffer (Sigma-Aldrich) for 7 min to lyse red blood cells. 2 × 106 cells were incubated for 3 h at 37°C, 5% CO2 with 1 ug/ml LPS (Sigma-Aldrich) before surface/intracellular staining for CD68, CD11b, Ly6C, Lineage markers (NK1.1, CD19, CD3, Ter119, B220), IL-1β and TNF.

mRNA Microarray and Quantitative PCR (qPCR)

For murine colon samples or sorted cell populations total RNA was purified using RNeasy mini kits (Qiagen), as previously described (25). For microarrays, RNA was labelled using TotalPrep RNA amplification kits (Life Technologies) and hybridised with Illumina MouseWG-6BeadChip arrays with five biological replicates from one experiment of FACS-purified macrophages and monocytes. The microarray data from the naïve mice were retrieved from the GEO data set GSE84764 (26). All analyses were conducted in R using Bioconductor. Pairwise group comparisons were undertaken using linear modeling. Subsequently, empirical Bayesian analysis was applied, including vertical (within a given comparison) P-value adjustment for multiple testing, which controls for false-discovery rate, using the limma Bioconductor package.

For RT-qPCR of colon tissue, RNA was extracted using RNeasy mini kits (Qiagen) and complementary DNA was generated using GoScript reverse transcriptase kits (Promega). Relative quantification of genes of interest was performed by qPCR analysis using QuantStudio 12 Flex Real Time OCR system, with Fast SYBR® Green Master Mix (Life Technologies), compared with a serially diluted standard of pooled complementary DNA. Transcript expression was normalised to the housekeeping gene GAPDH, which did not vary significantly during inflammation (data not shown). Primers are listed in Supplementary Table 3.

Statistical Analysis

Statistical analyses were carried out using GraphPad Prism v.7 or JMP v.12 (SAS Institute). The data were checked to confirm normality and that groups had equal variance. One-way analysis of variance (ANOVA) with Tukey's multiple comparison tests was employed to determine significant differences between sample groups. Results from these tests were reported as significant if P < 0.05, with results from these tests shown as mean ± SEM. For some experiments statistical analysis was carried out using JMP, in which case data were analysed using three-way full-factorial fit models to assess effects, such as “genotype,” “treatment,” and “experiment” on the response variable of interest. This allowed the interaction between effects to be taken into account in addition to their impact on the response variable, which enabled experimental repeats to be pooled increasing the power of the analysis (27). The least squares mean results table from the three-way full-factorial analysis was used to test the contrast between specific experimental groups using a joint F-test. A difference between experimental groups was taken to be significant if the P-value (Prob > F) was < 0.05, with results in graphs shown as least squares mean ± SEM.

Ethical Considerations

All samples were obtained according to the principles expressed in the Declaration of Helsinki and under local ethical guidelines and approved by the North West National Research Ethics Service (reference number 15/NW/0007). All patients provided written informed consent for the collection of tissue samples and subsequent analysis.

Results

Active Human Colon IBD is Characterised by Recruitment of CD14HiHLA-DRInt Cells

A dominant feature of IBD is damaging local production of pro-inflammatory cytokines (28). Indeed, long-term administration of monoclonal antibodies against TNF still forms the mainstay of treatment for patients with complicated disease (29, 30). Polymorphisms in IL1B, IL6, and TNF have all been associated with predisposition to IBD, suggesting variation in the ability to regulate pro-inflammatory cytokine production is associated with disease susceptibility (31). We therefore used qPCR to assess the mRNA expression “signature” of key inflammatory genes in targeted colon biopsy samples of macroscopically inflamed or quiescent areas from patients with IBD, or from healthy controls (Figure 1A; Table 1). Consistent with expectation, mRNA transcripts for TNF, IL1B, and IL6 were significantly increased in active IBD vs. quiescent IBD or healthy control patient samples, confirming that these cytokines are a hallmark of disease activity (Figure 1A) and this was unaffected by drug treatment.

FIGURE 1
www.frontiersin.org

Figure 1. Disruption of resting CD14Hi:CD14Lo populations in active IBD. Patients with IBD had colonic biopsies taken from macroscopically inflamed (active IBD) or non-inflamed (quiescent IBD) areas and compared to sigmoid colon biopsies from healthy controls. (A) mRNA isolated from biopsy samples was analysed by qPCR for expression of IL1B, IL6, and TNF with mean values relative to GAPDH shown (12 healthy control, 12 quiescent IBD, and 19 active IBD biopsy samples from 8, 11, and 17 healthy control/patients, respectively were analysed in three separate experiments, representative data shown) (Supplementary Table 1). (B,C) Colon lamina propria cells were isolated from an additional 4 healthy control, 10 quiescent IBD and 6 active IBD biopsy samples (from 4, 7, and 6 healthy control/patients, respectively) and analysed by flow cytometry (Table 1). (B) Live, singlet, Lineage (CD3, CD19, CD20, CD56) cells were then assessed for the expression of CD14, CD45, CD11c, CD64, CD163, and HLA-DR. Ratios of CD14Hi to CD14Lo, LineageCD45+ and CD14Hi HLA-DRHi to HLA-DRint cells were compared in biopsy samples. (C) Histograms of CD163 and CD64 in CD14Hi and CD14Lo healthy controls (left and middle panel) and HLA-DR in CD14Hi populations from active and quiescent IBD (right panel) *P < 0.05, **P < 0.01, ****P < 0.001. a.u., arbitrary units.

We hypothesised that the balance of tolerogenic steady state macrophages vs. pro-inflammatory monocytes likely defines resting and inflamed human colon tissue, particularly given that these populations have been shown to be in continuum in murine studies (2, 6). We therefore compared proportions of macrophages and monocytes in inflamed vs. quiescent colon biopsies. Though distinction between intestinal macrophages and monocytes is more challenging in humans than in mice, recent work has shown that there is significant conservation of markers that also define murine intestinal macrophages, such as CD14, CD64, CD68, MHC-II, and CD163 (2, 13, 18, 31). Indeed, as in mice where maturity of resident colon macrophages is inversely associated with expression of Ly6C, human macrophages are thought to express low levels of CD14 (CD14Lo) whilst there also exists a smaller CD14Hi subset that is more heterogeneous for expression of CD163, HLA-DR, and CD209 and may represent the Ly6C+ monocytes in mice (2). We therefore used a combination of CD14 and HLA-DR expression to define human monocyte/macrophage subsets (Supplementary Figure 1A) and found that, when comparing CD14+ populations, CD14LoHLA-DRHi cells were most frequent in the steady state, with a much lower proportion of CD14Hi cells (Figure 1B). Notably, in line with their designation as part of the macrophage lineage, both these populations expressed high levels of CD64 and CD163 (Figure 1C). We found that patients with active IBD displayed a striking accumulation of CD14Hi cells, compared to both quiescent IBD and healthy control individuals (Figure 1B), and this was unaffected by drug treatment. Notably, whereas CD14Hi cells in healthy control and quiescent IBD samples expressed high levels of HLA-DR, CD14Hi cells found in active IBD had a HLA-DRInt/Hi profile, consistent with a more immature state (Figures 1B,C). In contrast, whilst the proportion of CD14Lo macrophages was largely unchanged in inflammation, the ratio of CD14Hi:CD14Lo cells was significantly altered, due to the accumulation of a CD14HiHLA-DRInt/Hi population (Figures 1B,C).

Thus, we have shown in a targeted biopsy dataset from a colon IBD cohort that, analogous to the changes that have previously been described in mice (9), the balance of human colon intestinal CD14Lo macrophages is perturbed in active IBD, favouring the accumulation of CD14HiHLA-DRInt monocyte-like cells.

Murine Colitis is Characterised by Recruitment of CD11b+Ly6C+CD11cMHC-II+/− Monocytes

To interrogate the molecular mechanisms underpinning the dysregulated CD14Hi:CD14Lo axis and cellular sources of IL-1β and TNF in colon inflammation we had observed in human biopsy material, and its contribution to colon inflammation, we employed the use of an established model of murine experimental colitis. DSS colitis is characterised by disruption of the colon epithelial barrier and subsequent inflammation directed towards the infiltrating microbiota (32, 33). This process is dependent on intestinal microbial colonisation and independent of T and B cells, permitting definition of innate immune cell involvement (33, 34) However, the monocyte:macrophage balance and comparative cytokine production during the propagation of DSS colitis is not well-defined, even though these innate cells have been heavily implicated in development of inflammatory pathology in this model (2, 9, 35, 36). Use of multi-parameter flow cytometry (Figure 2A) showed that, similar to healthy human biopsies (Figure 1B), the mouse colon contained a large population of macrophages (defined as F4/80+MHC-II+CD64+CD11b+) and a small population of monocytes (Ly6C+CD11b+MHC-II+/−; Figure 2B) (6). This balance was disrupted in DSS-induced colitis, which led to a dramatic increase in monocytes (Figure 2C). Assessment of the entire myeloid cell compartment revealed that neutrophils (CD11b+Ly6G+) and monocytes underwent the greatest numerical increase (9.2 and 3.7-fold change, respectively), followed by eosinophils (SSCHiSiglec-F+, 2.2-fold change) and dendritic cells (DCs) (CD11c+F4/80LoCD64, 2.3-fold change). In contrast, the change in macrophage numbers was less dramatic (1.3-fold change) following DSS treatment (Figure 2C—left). Thus, as a proportion of all myeloid cells, inflammation induced an increase in monocytes, neutrophils and eosinophils, alongside reduced proportions of DCs and macrophages, compared to the steady state (Figure 2C—right). This shows that, as we observed in active human IBD, murine colitis is characterised by a striking disruption of the resting monocyte:macrophage ratio (Figures 1B, 2B).

FIGURE 2
www.frontiersin.org

Figure 2. Cytokine production in murine blood and colon monocytes. WT mice received 2% DSS in drinking water (or control drinking water) for 6 consecutive days, colon lamina propria cells and the cellular component of blood was isolated and assessed for the expression of Siglec-F, Ly6G, CD11b, CD11c, F4/80, CD45, and Lineage markers (CD3, CD19, NK1.1, Ter119) (colon) or Ly6C, Lin (NK1.1, CD19, CD3, Ter119, B220), CD11b and CD68 (blood) by flow cytometry. (A). Representative flow cytometry contour plots in day 6 DSS treated WT mice of Live/singlet/LineageCD45+ cells. (B). Least square mean ratio of total number of colon LP Monocytes:Macrophages identified from (A) in DSS and drinking water controls (C). The least square mean total number of cells per colon for the populations in (A) (left) and their relative proportions (right), n = 15–25 per group, analysed by linear regression of six independent experiments. The least square mean total number of cells per colon (D)-left and (F)-left, proportion of all, (D)-right and (F)-right, and percentage of total population (E) and (G) expressing IL-1β (D) and (E) or TNF (F) and (G) after 3 h incubation with 1 μl/ml GolgiStop for the populations in (A) as assessed by intracellular staining and flow cytometry compared to isotype antibody control, n = 12–15 mice per group analysed by linear regression of three independent experiments. (H). Representative flow cytometry plots of blood monocytes isolated from day 6 DSS treated or drinking water controls stimulated with 1 μg/ml LPS and GolgiStop 1 μl/ml for 3 h and assessed for the expression of IL-1β by intracellular staining, with the least mean square % of total blood monocytes (I), n = 12–15 mice per group analysed by linear regression of three independent experiments. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001, #P < 0.0001 for total cell number vs. controls.

Colon Monocytes in Murine Colitis Express High Levels of IL-1β and TNF

The pro-inflammatory cytokines IL-1β and TNF are highly expressed in the mucosa of patients with active IBD (Figure 1A) (37). Further, although mice treated with IL-1β neutralising antibodies display reduced DSS inflammation and expression of IL-6 mRNA transcripts, TNF levels are unaltered (37), indicating that IL-1β may play a more dominant role in promoting DSS colitis than TNF. Recent evidence suggests that perhaps non-monocyte sources of IL-1β may be important in C. rodentium infection, as chimeric mice (CCR2WT/Il1b−/− vs. CCR2WT) where 50% of monocytes lack the ability to produce IL-1β (1:1 mix CCR2WT/Il1b−/−) still produce what appears to be equivalent IL-1β in colon LP supernatant to CCR2WT (38). As such, monocyte egress from the blood to the intestines could be hypothesised to stimulate IL-1β production from non-monocyte sources (38). We therefore directly compared ex vivo pro-inflammatory cytokine production by monocytes, macrophages and other myeloid cells in steady state and following DSS administration, using flow cytometry to assess intracellular IL-1β and TNF protein levels. There were significant increases in the absolute number of IL-1β+ macrophages, DCs, monocytes and, to a lesser extent, neutrophils (Figure 2D). However, monocytes accounted for the largest increase following DSS administration, in both absolute numbers (12.2-fold change) and proportion, to represent 35.7% of all IL-1β+ myeloid cells (Figure 2D). Not only were IL-1β+ monocytes more numerous in DSS colitis, but the proportion of monocytes expressing IL-1β increased significantly (1.9-fold to 51.7% of all monocytes), which was greater than any other IL-1β expressing myeloid population (Figure 2E). Thus, although there were diverse myeloid sources of IL-1β during DSS colitis, monocytes were the most responsive and prominent IL-1β+ population, undergoing the greatest numerical and per cell changes in this setting. As such, the impact of colon monocytes on inflammation during DSS colitis is likely a compound effect of increased per cell IL-1β production along with increased recruitment.

Compared to IL-1β+, there were far fewer intestinal myeloid cells that were TNF+ in steady state or during DSS colitis (compare Figures 2D,F). Macrophages were the most dominant TNF+ population, independent of inflammation, but demonstrated only small changes in total number following DSS administration. As seen with IL-1β secretion, of the TNF+ myeloid cell subsets, monocytes expanded the most after DSS administration (5.6-fold change), and increased in proportion to represent 21.1% of all TNF+ myeloid cells. However, in contrast to IL-1β, there was no significant increase in the proportion of monocytes that expressed TNF.

Blood Monocytes in Murine Colitis are Conditioned to be Pathogenic Before Arrival into Inflamed Tissue Sites

Given that the proportion of murine colon IL-1β+ monocytes increased more dramatically than any other myeloid population in DSS (Figure 2E), we questioned whether this reflected an increased ability of monocytes to respond to an inflamed micro-environment, and/or a result of being primed to be pro-inflammatory systemically prior to arrival in the mucosa. To address this, we cultured monocytes isolated from the blood of DSS treated or control mice ex vivo in the presence, or absence, of LPS and assessed their production of pro-inflammatory IL-1β and TNF using intracellular flow cytometry. Ly6CHiCD11b+CD68+ blood monocytes from DSS treated animals displayed a significantly greater proportion of cells expressing IL-1β, but not TNF (Figures 2H,I; Supplementary Figure 1B), similar to the responses observed from colon monocytes (Figures 2E,G). In addition, neither IL-1β nor TNF were detectable in blood monocytes in the absence of LPS stimulation, suggesting negligible levels of basal cytokine expression.

Murine Colon Inflammation Changes Expression of Similar ER Stress Response Genes in Both Macrophages and Monocytes

We next sought to understand how the disrupted monocyte:macrophage balance we had identified in both murine and human colitis related to altered gene expression by these key myeloid cells. Colon LP macrophages and monocytes were purified by FACS from control and DSS treated mice, RNA extracted and analysed by transcriptome microarray. Firstly, we looked at the effect of colon inflammation on monocyte and macrophage mRNA expression. By comparing populations from DSS treated vs. naïve mice, we identified 1,446 genes in macrophages (924 down- and 522 up-regulated) and 1,284 genes in monocytes (858 down- and 426 up-regulated) that were significantly altered (Log2-fold change ≥ 2, P < 0.01; Figure 3A). Of these, 151 of the 200 most differentially expressed genes (i.e., the largest absolute fold 100 up- and 100 down-changing genes) were the same in both macrophages and monocytes (DSS vs. naïve). This suggested that inflammation confers similar mRNA expression changes in both intestinal macrophages and monocytes. The greatest fold change in gene expression were in mRNA transcripts of ribosomal proteins and ER stress (Eif3k, Rpl13a, Rpl31, Rpl37) changes in all of which were similar in both macrophages and monocytes (Figure 3B) (39, 40, 41). Indeed, KEGG analysis showed that the most significant pathway was “protein processing in the ER” which was the down-regulated after DSS in both monocytes and macrophages (Figure 3C).

FIGURE 3
www.frontiersin.org

Figure 3. Chemokine expression is increased in inflamed murine colon macrophages and active human IBD. Colon lamina propria macrophage and monocyte populations were isolated and purified by flow cytometry from day 6 2% DSS (CD11b+MHC-II+LineageLy6C macrophages, CD11b+MHC-II+/−LineageLy6C+ monocytes) or naïve mice. RNA was extracted, and gene expression assessed by hybridisation to IlluminaMouseRef6 microarray (2% DSS) or Affymetrix5 chip (Naïve). (A). Volcano plots of Log10 significance and Log2-fold change for gene expression comparisons of DSS vs. naïve macrophages and monocytes. (B). Heat map of selected normalised gene expression from (A) (adjusted P < 0.01) each individual heatmap represents a biological replicate composed of 2–5 pooled mice. (C) KEGG pathway analysis of significant (adjusted P < 0.01) pathways from (A). (D). Volcano plots of Log10 significance and Log2-fold change for gene expression comparisons of monocytes vs. macrophages in DSS and steady state. (E). Heat map of selected normalised gene expression from D (adjusted P < 0.01) each individual heatmap represents a biological replicate composed of 2–5 pooled mice. (F) KEGG pathway analysis of significant (adjusted P < 0.01) pathways from (D). (G). Patients with IBD had colon biopsies taken from macroscopically inflamed or non-inflamed areas and compared to biopsies from healthy controls. mRNA isolated from biopsy samples was analysed by qPCR for expression of CXCL1, CCL7 and CCL8 with mean values relative to GAPDH shown (12 healthy control, 12 quiescent IBD, and 19 active IBD biopsy samples from 8, 11, and 17 healthy control/patients, respectively were analysed in three separate experiments, representative data shown) (Supplementary Table 1). *P < 0.05, **P < 0.01,***P < 0.001, ****P < 0.0001. a.u., arbitrary units.

Murine Colon Monocyte to Macrophage Maturation Changes Chemokine Gene Expression Irrespective of Inflammation

We next looked at the effect of monocyte to macrophage maturation on mRNA expression profiles from naïve or DSS treated mice. Comparing gene expression of macrophages vs. monocytes from DSS mice revealed 44 genes (27 down- and 17 up-regulated) and 308 genes from naïve mice (196 down- and 112 up-regulated) were Log2-fold change ≥ 2 expressed (P < 0.01; Figure 3D). Once again there was a striking similarity independent of inflammation with 73/200 of the 100 largest absolute fold changing up- and down-regulated genes identical in steady state and DSS when comparing macrophage vs. monocyte gene expression. The genes most highly expressed in macrophages relative to monocytes in both health and inflammation were chemokines (Figures 3E,F). In particular macrophage mRNA expression of Ccl7, Ccl8, Ccl12, and Cxcl1 was greatly elevated compared to monocytes, in both naïve and inflamed settings (Figure 3E). This suggests that in the colon, monocyte-derived macrophages rapidly develop the capability to produce chemokines that would facilitate recruitment of both their own monocyte precursors and neutrophils (39), with high level expression of these genes conserved in macrophages independent of inflammation. In addition, comparison of monocytes from DSS vs. naïve mice showed elevated expression of Ccl7, Ccl8, and Cxcl1 upon inflammation (Figure 3E).

Surprisingly, Ccl2 and Ccl3, which are crucial mediators of monocyte and macrophage recruitment, were not expressed at significantly different levels comparing monocytes to macrophages, either in the steady state or during inflammation (Figure 3E) (7, 9, 38, 40). In fact, levels of these transcripts were actually significantly reduced in both monocytes and macrophages when comparing inflamed to naïve settings (Figure 3E).

Having identified a distinctive chemokine signature in myeloid cells isolated from murine colitis, we next sought to assess whether a similar pattern of altered chemokine expression was evident during human colitis. Targeted colon biopsies from control, quiescent IBD and active IBD were analysed for mRNA expression of CCL7, CCL8, and CXCL1 based on our murine array data. As in murine colitis, CCL7, CCL8, and CXCL1 were all significantly increased in active IBD vs. quiescent IBD and controls (Figure 3G).

These data show the comparative effects of intestinal inflammation on the mRNA signatures of colon monocytes and macrophages, identifying altered expression in both macrophages and monocytes of genes that stabilise ribosome function during ER stress incurred by inflammation and chemokines involved in promoting monocyte recruitment incurred by monocyte-macrophage differentiation.

Discussion

IBD is characterised by remitting relapsing inflammation of uncertain pathogenesis that in CD can occur anywhere in the GI tract and in UC occurs almost exclusively in the colon. However, existing data on the innate immune system in IBD has predominately focused on phenotyping immune cells from the small intestine, in isolation or a combination of small and large intestine, rather than the colon exclusively (2, 12, 14, 21, 22). Even within murine colitis models, the changes conferred by inflammation on the relative abundance of different myeloid cells and their relative frequency, proportion and cytokine responses are poorly described. Our study utilised both targeted biopsy material from a colon IBD cohort and a murine model of colitis, to show that inflammation dramatically altered the composition of the myeloid compartment in the colon.

Naïve colon monocytes quickly differentiate into resident macrophages after entering the intestine, a process that confers significant change in function towards tolerance of the microbiota (2). However, comparison of the gene expression changes that accompany the differentiation process in the steady state vs. colon inflammation, or indeed the expression differences of colon monocytes and macrophages before and after colitis, are unknown.

We observed that active human colon IBD was associated with significantly greater colon mRNA expression of TNF, IL1B, IL6, and ratios of CD14Hi:CD14Lo and HLA-DRInt:HLA-DRHi cells vs. quiescent IBD and healthy controls. This is consistent with previous work that has reported an increase in CD14Hi cells in inflamed intestinal mucosa that have features of less mature mononuclear cells, though our data is one of the first using an exclusive colon dataset of targeted biopsies comparing active and quiescent IBD to healthy controls (14). Indeed, identifying the role of intestinal CD14Hi cells has been hampered somewhat by different methodologies (in particular differences in anatomical location sampling) and sub-classification in the literature (2, 1114). As we were limited to assessment of healthy control sigmoid colon alone in our presented work, future studies will be required to address if IBD alters these populations to varying degrees in different regions of the colon.

CD14HiHLA-DRHi cells from CD/UC surgical resection specimens may induce differentiation of naïve T cells into Th17 cells with a CD163Lo subset able to produce greater IL-1β and IL-6 after TLR stimulation, compared to macro/microscopically normal areas from colon cancer resections (13). Similarly Kamada et al. reported an increase in IL-6, TNF, and IL-23 producing CD14+CD33+ cells in UC/CD surgical resection specimens compared to controls, with both Thiesen et al. (combined small and large intestine samples) and Magnusson et al. (discrete small and large intestine samples) reporting increased CD14HiHLA-DRInt cells in active vs. quiescent IBD and healthy controls (11, 12, 14). This highlights that increased numbers of CD14Hi intestinal cells in the colon may be a reliable indicator of IBD severity.

Interrogation of a murine colitis model allowed us to accurately define the numerical and proportional changes in the colon myeloid compartment. Mirroring the increased colonic CD14Hi:CD14Lo ratio observed in active human IBD, murine colitis was characterised by an increased Ly6CHiCD64+ monocyte to Ly6CCD64+F4/80+ macrophage ratio. Monocyte and neutrophil populations were the most sensitive (by fold change) to numerical expansion induced by DSS, with corresponding significant decreases in the proportion of macrophages and DCs within the myeloid compartment. Thus, one of the hallmarks of murine and human colitis is the accumulation of monocyte (mouse) or monocyte-like (human) cells, such that they undergo a large numerical increase after the onset of inflammation to represent a substantial proportion of the myeloid compartment compared to the resting state.

In addition to identifying this link between severity of colitis and increased tissue monocytes, we have shown for the first time the relative production of the key inflammatory cytokines IL-1β and TNF by intestinal myeloid cells in DSS colitis, revealing monocytes as the dominant IL-1β producing population. This was evident in both heightened per cell IL-1β production, and increased IL-1β+ monocyte numbers, compared to other myeloid cells. DSS did not increase per cell TNF production in any myeloid cell population. Therefore, in contrast to IL-1β, the increase in the number of TNF+ monocytes after DSS was due to increased recruitment and accumulation of monocytes, rather than increased per cell production of this cytokine. The importance of IL-1β producing intestinal monocytes for appropriate clearance of Citrobacter spp has recently been shown, where CCR2+ monocytes give rise to macrophages that induce IL-22 from ILC3 cells in an IL-1β dependent manner (38). Here we go further, having shown that during DSS colitis, macrophages, DCs and neutrophils in the colon can produce IL-1β in addition to monocytes.

In addition to assessment of tissue monocytes, we found that murine blood monocytes produced heightened IL-1β, but not TNF, during DSS colitis. This may indicate that intestinal inflammation confers systemic signals to blood monocytes increasing their IL-1β producing potential. In addition, neither IL1-β nor TNF were detectable in the absence of LPS stimulation, suggesting negligible levels of basal cytokine expression and that monocyte pro-inflammatory cytokines would only be released on tissue entry and TLR engagement. Whilst the specific systemic signals that might confer increased blood monocyte IL-1β potential are not yet known, it has recently been suggested that NK cell production of IFN-γ can influence monocyte progenitors in the bone marrow to adopt a regulatory phenotype during acute gastrointestinal infection, a process that precedes the onset of systemic inflammation (41). Indeed, granulocyte/monocyte adsorption (GMA) columns are currently being investigated as a therapy to reduce circulating CD14+CD16+ blood monocytes in patients with active IBD (16). Interestingly, those patients treated early with GMA display a more benign disease course, suggesting that acute rather than established inflammation is more amenable to monocyte intervention (42).

Whilst we have observed monocytes as a defining feature of both murine and human colon inflammation, it is important to note their macrophage-progeny are also thought to be important constituents of the repair process. For example, Ccr2−/− mice sequester monocytes within the BM (43), resulting in depletion of tissue resident macrophages, reducing their susceptibility to acute DSS colitis but increasing susceptibility to chronic DSS mediated inflammation (7, 44). Conversely conditional depletion of CCR2+ monocytes using CCR2DTR mice increases susceptibility to intestinal Citrobacter infection. This demonstrates the delicate monocyte-macrophage balance required to repel intestinal infection, limit potentially damaging monocyte recruitment and also resolve tissue damage. Therefore, strategies aiming to modulate pro-inflammatory monocytes during IBD may have a “window of opportunity” in acute disease that must be balanced against the importance of monocyte derived macrophages in resolving chronic intestinal inflammation and monocytes themselves in combatting opportunistic intestinal infection.

To identify the mechanisms that control monocyte and macrophage abundance and their role in colitis, we compared the mRNA profiles of purified colon monocytes and macrophages from DSS treated and control mice. DSS conferred similar changes to both monocyte and macrophage gene expression compared to the steady state. Pathway analysis revealed top dysregulated pathways in both populations were associated with ER stress and unfolded protein response (UPR) associated loci (Eif3k, Rpl13a down-regulated upon DSS and Rpl31 and Rpl37 up-regulated upon DSS). Eif3k for example encodes the k subunit of the eurkaryotic initiation factor 3 (eIF3) which is an important component of ER induced stress granules. Interestingly, the c subunit of eIF3 (EIF3C) has been identified as a risk susceptibility locus for IBD in early onset paediatric populations (45) and eIF3 protein is found at increased levels in the colonic mucosa of UC patients (46). This suggests decreased Eif3k mRNA expression in monocytes/macrophages in our data is part of a compensation mechanism for increased ER stress in these populations during colitis (46). The other major down-regulated gene, Rpl13a, encodes a ribosomal protein that forms part of an IFN-γ activated inhibitor of translation (GAIT) complex that binds untranslated regions of several cytokine mRNAs during inflammation. Myeloid specific knockout of Rpl13a renders the host susceptible to LPS-induced endotoxaemia and DSS colitis (47, 48). Rpl13 deficient macrophages also display an unregulated expression of CCL8, suggesting that the Rpl13a down-regulation we observed in intestinal macrophages is part of the host response to the barrier breakdown caused by DSS that would permit increased recruitment of cytokine producing inflammatory monocytes (47). The function of other ribosomal proteins in mediating macrophage/monocyte responses during colitis is not well-characterised. However, Rpl31 and Rpl37, expression of which were greatly increased by macrophages/monocytes during DSS inflammation, have been implicated in cell cycle in bacteria and cancer, and preventing p53 mediated apoptosis (4951). Therefore, increased expression of Rpl31/37 and UPR transcripts by monocytes/macrophages after DSS administration may permit these cells to operate in hostile environments by facilitating protein translation and maintaining key cellular processes for survival.

Comparison of mRNA expression changes between colon macrophage and monocytes revealed a highly conserved set of genes that was independent of DSS-elicited inflammation. A range of monocyte and neutrophil attracting chemokines (Ccl7, Ccl8, Cxcl1) were more highly expressed in macrophages compared to monocytes from both steady state and DSS colitis. In addition, expression of these chemokine transcripts were elevated in monocytes from DSS treated vs. naïve mice. This shows that expression of these chemokine transcripts was globally elevated upon colitis, a feature that was also evident when comparing human colon samples from active vs. quiescent IBD and controls. There are numerous chemokines (CCL2, CCL7, CCL8, and CCL12) that have been reported to recruit CCR2+ classical monocytes (7, 9). Of these, CCL2 is known to be an important ligand for CCR2, though its role in colitis is unclear, as DSS treated Ccl2−/− mice have been shown to develop either exacerbated or ameliorated colitis (52, 53). In contrast to other monocyte chemokines, we found that Ccl2 expression was equivalent between monocytes and macrophages. However, interestingly, Ccl2 expression was actually reduced in both monocytes and macrophages when comparing populations before and after DSS. This suggests that macrophages and monocytes are not the key source of CCL2 release during colitis. The importance of CCL7, CCL8, CCL12, and CXCL1 to mediate colitis inflammation, and the consequence of enhanced monocyte expression of these chemokines on pathology, is not known. Although it has been reported that CD169+ macrophages express Ccl2, Ccl7, and Ccl8 during colitis (the contribution of monocytes was not considered) (9, 54), and analysis of colon IBD sections has suggested CCL8 as the greatest up-regulated chemokine released from inflammatory cells (55). Therefore, as our study directly compare transcriptomes of intestinal monocytes and macrophages in both naïve and inflamed settings, we propose that colon macrophages in colitis are important sources of CCL7/8 and that, in addition, monocytes in inflamed settings possess an increased ability to express Ccl7/8 that enables further monocyte entry into inflamed tissue sites.

Together, our murine and human data suggest that monocyte recruitment, and systemic priming of monocyte IL-1β release, are key components involved in escalation of colon inflammation in colitis. As such, targeted interference of monocyte recruiting chemokines like CCL7, CCL8, or CXCL1 may help preserve the steady state monocyte:macrophage balance that is disrupted in pathological inflammatory states, such as IBD. Elegant tracking studies have shown adult murine colon macrophages develop from Ly6CHiCCR2+ blood monocytes, to Ly6C+CD11b+ colon monocytes, to mature F4/80+CX3CR1Hi macrophages, a process that is also characterised by a dramatic change in function and phenotype as described above (2, 8, 10). Thus, modulation of either monocyte or macrophage representation will likely change the pro-inflammatory capacity of the GI tract.

Conclusion

In summary, we have shown accumulation of pro-inflammatory monocytes in both murine colitis and human IBD, and suggest that targeting these monocytes, or their recruitment by macrophages, may represent a new and exciting future therapy for intestinal inflammation.

Author Contributions

G-RJ and PC: study concept and design, acquisition of data, analysis and data interpretation, drafting of the manuscript, critical revision of the manuscript for important intellectual content; AK, TF, SB, and CB: acquisition of data, drafting of the manuscript, critical revision of the manuscript for important intellectual content; AI: analysis and data interpretation, drafting of the manuscript, critical revision of the manuscript for important intellectual content; AM and MT: conception and design of the study, data interpretation, critical revision of the manuscript for important intellectual content. All authors approved the final manuscript.

Funding

This work was supported by the Medical Research Council (G0701437) and core funding from the Manchester Collaborative Centre for Inflammation Research to AM. G-RJ is supported by the Wellcome Trust Edinburgh Clinical Academic Training scheme (100469/Z/12/Z). PC is supported by a University of Manchester Dean's Prize Early Career Research Fellowship and Springboard Award (Academy of Medical Sciences, SBF002/1076). MT is supported by the Medical Research Council (MR/M00242X/1) and core funding from the Wellcome Trust Centre for Cell-Matrix Research. The Wellcome Centre for Cell-Matrix Research, University of Manchester, is supported by core funding from the Wellcome Trust (grant no. 203128/Z/16/Z). CB holds a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (206234/Z/17/Z).

Conflict of Interest Statement

The Manchester Collaborative Centre for inflammation research is a joint venture between the University of Manchester and GSK. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

Illumina BeadChip experiments were performed at the Wellcome Trust Clinical Research Facility, University of Edinburgh, by Louise Evenden and Lee Murphy. We thank Gareth Howell for cell sorting and assistance as part of the University of Manchester Flow Cytometry Core Facility, and SB for technical support.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2018.02764/full#supplementary-material

Supplementary Figure 1. (A) Representative gating strategy by flow cytometry to identify Live/singlet/Lineage/CD45+HLA-DR+ cells from colon lamina propria. (B) The cellular component of blood was isolated from day 6 DSS treated or drinking water controls and stimulated with 1 μg/ml LPS and GolgiStop 1 μl/ml for 3 h. CD11b+CD68+Ly6CHi blood monocytes were identified by flow cytometry and assessed for the expression of TNF by intracellular staining, n = 12–15 mice per group analysed by linear regression of three independent experiments.

Supplementary Table 1. qPCR colon biopsy sample patient demographics. Twelve healthy control, 12 quiescent IBD, and 19 active IBD colon biopsy specimens from 8 healthy control, 11 quiescent IBD, and 17 active IBD patients attending for colonoscopy were obtained for RNA extraction and RT-qPCR analysis. Patient records were reviewed for demographic, IBD location and disease behaviour by Montreal classification. IM, Immunomodulatory drugs; MTX, methotrexate; ADA, adalimumab; IFX, infliximab; 6′MP, 6-mercaptopurine; 5′ASA, 5′aminosalicylic acid. Montreal classification for CD: A1, age at onset < 16 years; A2, between 17 and 40 years; A3, >40 years. L1, ileal disease location; L2, colonic disease location; L3, ileocolonic disease location. B1, inflammatory phenotype; B2, stricturing phenotype; B3, penetrating phenotype. Montreal classification for UC: E1, proctitis; E2, rectosigmoid disease; E3, disease proximal to the splenic flexure. CD, Crohn's disease; UC, ulcerative colitis. # Patient ID is the identifier allocated to each individual providing tissue, such that donors that gave more than 1 sample can be identified.

Supplementary Table 2. Flow cytometry antibody details.

Supplementary Table 3. qPCR Primer details.

References

1. Weiner HL. Oral tolerance, an active immunologic process mediated by multiple mechanisms. J Clin Invest. (2000) 106:935–7. doi: 10.1172/JCI11348

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Bain CC, Scott CL, Uronen-Hansson H, Gudjonsson S, Jansson O, Grip O, et al. Resident and pro-inflammatory macrophages in the colon represent alternative context-dependent fates of the same Ly6Chi monocyte precursors. Mucosal Immunol. (2013) 6:498–510. doi: 10.1038/mi.2012.89

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Anderson CA, Boucher G, Lees CW, Franke A, D'Amato M, Taylor KD, et al. Meta-analysis identifies 29 additional ulcerative colitis risk loci, increasing the number of confirmed associations to 47. Nat Genet. (2011) 43:246–52. doi: 10.1038/ng.764

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Wallace KL, Zheng LB, Kanazawa Y, Shih DQ. Immunopathology of inflammatory bowel disease. WJG (2014) 20:6–17. doi: 10.3748/wjg.v20.i1.6

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Cooney R, Baker J, Brain O, Danis B, Pichulik T, Allan P, et al. NOD2 stimulation induces autophagy in dendritic cells influencing bacterial handling and antigen presentation. Nat Med. (2009) 16:90–7. doi: 10.1038/nm.2069

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Bain CC, Bravo-Blas A, Scott CL, Perdiguero EG, Geissmann F, Henri S, et al. Constant replenishment from circulating monocytes maintains the macrophage pool in the intestine of adult mice. Nat Immunol. (2014) 15:929–37. doi: 10.1038/ni.2967

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Platt AM, Bain CC, Bordon Y, Sester DP, Mowat AM. An independent subset of TLR expressing CCR2-dependent macrophages promotes colonic inflammation. J Immunol. (2010) 184:6843–54. doi: 10.4049/jimmunol.0903987

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Rivollier A, He J, Kole A, Valatas V, Kelsall BL. Inflammation switches the differentiation program of Ly6Chi monocytes from anti-inflammatory macrophages to inflammatory dendritic cells in the colon. J Exp Med. (2012) 209:139–55. doi: 10.1084/jem.20101387

CrossRef Full Text | Google Scholar

9. Zigmond E, Varol C, Farache J, Elmaliah E, Satpathy AT, Friedlander G, et al. Monocytes in the inflamed colon give rise to proinflammatory effector cellsand migratory antigen-presenting cells. Immunity (2012) 37:1076–90. doi: 10.1016/j.immuni.2012.08.026

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Arnold IC, Mathisen S, Schulthess J, Danne C, Hegazy AN, Powrie F. CD11c+ monocyte/macrophages promote chronic Helicobacter hepaticus-induced intestinal inflammation through the production of IL-23. Mucosal Immunol. (2016) 9:352–63. doi: 10.1038/mi.2015.65

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Kamada N, Hisamatsu T, Okamoto S, Chinen H, Kobayashi T, Sato T, et al. Unique CD14 intestinal macrophages contribute to the pathogenesis of Crohn disease via IL-23/IFN-gamma axis. J Clin Invest. (2008) 118:2269–80. doi: 10.1172/JCI34610

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Thiesen S, Janciauskiene S, Uronen-Hansson H, Agace W, Högerkorp CM, Spee P, et al. CD14hiHLA-DRdim macrophages, with a resemblance to classical blood monocytes, dominate inflamed mucosa in Crohn's disease. J Leukoc Biol. (2014) 95:531–41. doi: 10.1189/jlb.0113021

CrossRef Full Text | Google Scholar

13. Ogino T, Nishimura J, Barman S, Kayama H, Uematsu S, Okuzaki D, et al. Increased Th17-inducing activity of CD14. Gastroenterology (2013) 145:1–13. doi: 10.1053/j.gastro.2013.08.049

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Magnusson MK, Brynjólfsson SF, Dige A, Uronen-Hansson H, Börjesson LG, Bengtsson JL, et al. Macrophage and dendritic cell subsets in IBD: ALDH+ cells are reduced in colon tissue of patients with ulcerative colitis regardless of inflammation. Mucosal Immunol. (2016) 9:171–82. doi: 10.1038/mi.2015.48

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Grimm MC, Pullman WE, Bennett GM, Sullivan PJ, Pavli P, Doe WF. Direct evidence of monocyte recruitment to inflammatory bowel disease mucosa. J Gastroenterol Hepatol. (1995) 10:387–95. doi: 10.1111/j.1440-1746.1995.tb01589.x

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Yoshimura N, Yokoyama Y, Matsuoka K, Takahashi H, Iwakiri R, Yamamoto T, et al. An open-label prospective randomized multicenter study of intensive versus weekly granulocyte and monocyte apheresis in active Crohn's disease. BMC Gastroenterol. (2015) 15:163. doi: 10.1186/s12876-015-0390-3

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Mahida YR, Patel S, Gionchetti P, Vaux D, Jewell DP. Macrophage subpopulations in lamina propria of normal and inflamed colon and terminal ileum. Gut (1989) 30:826–34.

PubMed Abstract | Google Scholar

18. Rogler G, Hausmann M, Vogl D, Aschenbrenner E, Andus T, Falk W, et al. Isolation and phenotypic characterization of colonic macrophages. Clin Exp Immunol. (1998) 112:205–15. doi: 10.1046/j.1365-2249.1998.00557.x

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Devosse T, Guillabert A, D'Haene N, Berton A, De Nadai P, Noel S, et al. Formyl peptide receptor-like 2 is expressed and functional in plasmacytoid dendritic cells, tissue-specific macrophage subpopulations, and eosinophils. J Immunol. (2009) 182:4974–84. doi: 10.4049/jimmunol.0803128

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Cleynen I, Boucher G, Jostins L, Schumm LP, Zeissig S, Ahmad T, et al. Inherited determinants of Crohn's disease and ulcerative colitis phenotypes: a genetic association study. Lancet (2016) 387:156–67. doi: 10.1016/S0140-673600465-1

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Kamada N, Hisamatsu T, Okamoto S, Sato T, Matsuoka K, Arai K, et al. Abnormally differentiated subsets of intestinal macrophage play a key role in Th1-dominant chronic colitis through excess production of IL-12 and IL-23 in response to bacteria. J Immunol. (2005) 175:6900–8. doi: 10.4049/jimmunol.175.10.6900

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Rugtveit J, Nilsen EM, Bakka A, Carlsen H, Brandtzaeg P, Scott H. Cytokine profiles differ in newly recruited and resident subsets of mucosal macrophages from inflammatory bowel disease. Gastroenterology (1997) 112:1493–505.

PubMed Abstract | Google Scholar

23. Asano K, Takahashi N, Ushiki M, Monya M, Aihara F, Kuboki E, et al. Intestinal CD169+ macrophages initiate mucosal inflammation by secreting CCL8 that recruits inflammatory monocytes. Nat Commun. (2015) 6:7802. doi: 10.1038/ncomms8802

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Jung S, Aliberti J, Graemmel P, Sunshine MJ, Kreutzberg GW, Sher A, et al. Analysis of fractalkine receptor CXCR1 function by targeted deletion and green fluorescent protein reporter gene insertion. Mol Cell Biol. (2000) 20:4106–14. doi: 10.1128/mcb.20.11.4106-4114.2000

CrossRef Full Text | Google Scholar

25. Cook PC, Owen H, Deaton AM, Borger JG, Brown SL, Clouaire T, et al. A dominant role for the methyl-CpG-binding protein Mbd2 in controlling Th2 induction by dendritic cells. Nat Commun. (2015) 6:1–11. doi: 10.1038/ncomms7920

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Schridde A, Bain CC, Mayer JU, Montgomery J, Pollet E, Denecke B, et al. Tissue-specific differentiation of colonic macrophages requires TGFβ receptor-mediated signaling. Mucosal Immunol. (2017) 10:1387–99. doi: 10.1038/mi.2016.142

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Webb LM, Lundie RJ, Borger JG, Brown SL, Connor LM, Cartwright AN, et al. Type I interferon is required for T helper (Th) 2 induction by dendritic cells. EMBO J. (2017) 36:2404–18. doi: 10.15252/embj.201695345

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Rovedatti L, Kudo T, Biancheri P, Sarra M, Knowles CH, Rampton DS, et al. Differential regulation of interleukin 17 and interferon production in inflammatory bowel disease. Gut (2009) 58:1629–36. doi: 10.1136/gut.2009.182170

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Gomollón F, Dignass A, Annese V, Tilg H, Van Assche G, Lindsay JO, et al. 3rd European evidence-based consensus on the diagnosis and management of Crohn's disease 2016: part 1: diagnosis and medical management. J Crohn Colitis (2017) 11:3–25. doi: 10.1093/ecco-jcc/jjw168

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Mowat C, Cole A, Windsor A, Ahmad T, Arnott I, Driscoll R, et al. Guidelines for the management of inflammatory bowel disease in adults. Gut (2011) 60:571–607. doi: 10.1136/gut.2010.224154

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Balding J, Livingstone WJ, Conroy J, Mynett-Johnson L, Weir DG, Mahmud N, et al. Inflammatory bowel disease: the role of inflammatory cytokine gene polymorphisms. Mediators Inflamm. (2004) 13:181–7. doi: 10.1080/09511920410001713529

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Okayasu I, Hatakeyama S, Yamada M, Ohkusa T, Inagaki Y, Nakaya R. A novel method in the induction of reliable experimental acute and chronic ulcerative colitis in mice. Gastroenterology (1990) 98:694–702.

PubMed Abstract | Google Scholar

33. Cooper HS, Murthy SN, Shah RS, Sedergran DJ. Clinicopathologic study of dextran sulfate sodium experimental murine colitis. Lab Invest. (1993) 69:238–49.

PubMed Abstract | Google Scholar

34. Dieleman LA, Ridwan BU, Tennyson GS, Beagley KW, Bucy RP, Elson CO. Dextran sulfate sodium-induced colitis occurs in severe combined immunodeficient mice. Gastroenterology (1994) 107:1643–52.

PubMed Abstract | Google Scholar

35. Abe K, Nguyen KP, Fine SD, Mo JH, Shen C, Shenouda S, et al. Conventional dendritic cells regulate the outcome of colonic inflammation independently of T cells. PNAS (2007) 104:17022–7. doi: 10.1073/pnas.0708469104

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Berndt BE, Zhang M, Chen GH, Huffnagle GB, Kao JY. The role of dendritic cells in the development of acute dextran sulfate sodium colitis. J Immunol. (2007) 179:6255–62. doi: 10.4049/jimmunol.179.9.6255

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Kwon KH, Murakami A, Hayashi R, Ohigashi H. Interleukin-1β targets interleukin-6 in progressing dextran sulfate sodium-induced experimental colitis. Biochem Biophys Res Commun. (2005) 337:647–54. doi: 10.1016/j.bbrc.2005.09.107

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Seo SU, Kuffa P, Kitamoto S, Nagao-Kitamoto H, Rousseau J, Kim YG, et al. Intestinal macrophages arising from CCR2+ monocytes control pathogen infection by activating innate lymphoid cells. Nat Commun. (2015) 6:8010. doi: 10.1038/ncomms9010

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Shi C, Jia T, Mendez-Ferrer S, Hohl TM, Serbina NV, Lipuma L, et al. Bone marrow mesenchymal stem and progenitor cells induce monocyte emigration in response to circulating toll-like receptor ligands. Immunity (2011) 34:590–601. doi: 10.1016/j.immuni.2011.02.016

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Dunay IR, Sibley LD. Monocytes mediate mucosal immunity to Toxoplasma gondii. Curr Opin Immunol. (2010) 22:461–6. doi: 10.1016/j.coi.2010.04.008

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Askenase MH, Han SJ, Byrd AL, Morais da Fonseca D, Bouladoux N, Wilhelm C, et al. Bone-marrow-resident NK cells prime monocytes for regulatory function during infection. Immunity (2015) 42:1130–42. doi: 10.1016/j.immuni.2015.05.011

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Saniabadi AR, Tanaka T, Ohmori T, Sawada K, Yamamoto T, Hanai H. Treating inflammatory bowel disease by adsorptive leucocytapheresis: a desire to treat without drugs. WJG (2014) 20:9699–18. doi: 10.3748/wjg.v20.i29.9699

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Dunay IR, Fuchs A, Sibley LD. Inflammatory monocytes but not neutrophils are necessary to control infection with Toxoplasma gondii in mice. Infect Immun. (2010) 78:1564–70. doi: 10.1128/IAI.00472-09

CrossRef Full Text | Google Scholar

44. Stakenborg M, Goverse G, Farro G, Gomez-Pinilla PJ, Boeckxstaens GE, Matteoli G. CCR2-monocytes are essential for the resolution of inflammation and tissue repair in colitis. J Crohn Colitis (2016) 10(Suppl. 1):S122.1–S122. doi: 10.1093/ecco-jcc/jjw019.185

CrossRef Full Text | Google Scholar

45. Imielinski M, Baldassano RN, Griffiths A, Russell RK, Annese V, Dubinsky M, et al. Common variants at five new loci associated with early-onset inflammatory bowel disease. Nat Genet. (2009) 41:1335–40. doi: 10.1038/ng.489

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Tréton X, Pédruzzi E, Cazals-Hatem D, Grodet A, Panis Y, Groyer A, et al. Altered endoplasmic reticulum stress affects translation in inactive colon tissue from patients with ulcerative colitis. Gastroenterology (2011) 141:1024–35. doi: 10.1053/j.gastro.2011.05.033

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Poddar D, Basu A, Baldwin WM, Kondratov RV, Barik S, Mazumder B. An extraribosomal function of ribosomal protein L13a in macrophages resolves inflammation. J Immunol. (2013) 190:3600–12. doi: 10.4049/jimmunol.1201933

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Poddar D, Kaur R, Baldwin WM, Mazumder B. L13a-dependent translational control in macrophages limits the pathogenesis of colitis. Cell Mol Immunol. (2016) 13:816–27. doi: 10.1038/cmi.2015.53

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Llanos S, Serrano M. Depletion of ribosomal protein L37 occurs in response to DNA damage and activates p53 through the L11/MDM2 pathway. Cell Cycle (2014) 9:4005–12. doi: 10.4161/cc.9.19.13299

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Ueta M, Wada C, Bessho Y, Maeda M, Wada A. Ribosomal protein L31 in Escherichia colicontributes to ribosome subunit association and translation, whereas short L31 cleaved by protease 7 reduces both activities. Genes Cells (2017) 22:452–71. doi: 10.1111/gtc.12488

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Maruyama Y, Miyazaki T, Ikeda K, Okumura T, Sato W, Horie-Inoue K, et al. Short hairpin RNA library-based functional screening identified ribosomal protein L31 that modulates prostate cancer cell growth via p53 pathway. PLoS ONE (2014) 9:e108743–10. doi: 10.1371/journal.pone.0108743

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Waddell A, Ahrens R, Steinbrecher K, Donovan B, Rothenberg ME, Munitz A, et al. Colonic eosinophilic inflammation in experimental colitis is mediated by Ly6Chigh CCR2+ inflammatory monocyte/macrophage-derived CCL11. J Immunol. (2011) 186:5993–6003. doi: 10.4049/jimmunol.1003844

CrossRef Full Text | Google Scholar

53. Takada Y, Hisamatsu T, Kamada N, Kitazume MT, Honda H, Oshima Y, et al. Monocyte chemoattractant protein-1 contributes to gut homeostasis and intestinal inflammation by composition of IL-10-producing regulatory macrophage subset. J Immunol. (2010) 184:2671–6. doi: 10.4049/jimmunol.0804012

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Schulthess J, Meresse B, Ramiro-Puig E, Montcuquet N, Darche S, Bègue B, et al. Interleukin-15-dependent NKp46+ innate lymphoid cells control intestinal inflammation by recruiting inflammatory monocytes. Immunity (2012) 37:108–21. doi: 10.1016/j.immuni.2012.05.013

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Banks C, Bateman A, Payne R, Johnson P, Sheron N. Chemokine expression in IBD. Mucosal chemokine expression is unselectively increased in both ulcerative colitis and Crohn's disease. J Pathol. (2002) 199:28–35. doi: 10.1002/path.1245

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: monocyte, macrophage, colitis, chemokine, IBD

Citation: Jones G-R, Bain CC, Fenton TM, Kelly A, Brown SL, Ivens AC, Travis MA, Cook PC and MacDonald AS (2018) Dynamics of Colon Monocyte and Macrophage Activation During Colitis. Front. Immunol. 9:2764. doi: 10.3389/fimmu.2018.02764

Received: 24 July 2018; Accepted: 09 November 2018;
Published: 27 November 2018.

Edited by:

Paul W. Bland, University of Gothenburg, Sweden

Reviewed by:

Elisabeth Hultgren Hornquist, Örebro University, Sweden
Anne Hosmalin, Institut National de la Santé et de la Recherche Médicale (INSERM), France

Copyright © 2018 Jones, Bain, Fenton, Kelly, Brown, Ivens, Travis, Cook and MacDonald. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Peter C. Cook, peter.c.cook@manchester.ac.uk
Andrew S. MacDonald, andrew.macdonald@manchester.ac.uk