Introduction
Polymorphonuclear neutrophils (PMN) are effector cells during inflammation, and their migration to sites of infection is essential in controlling microbial growth and dissemination [
1,
2]. Neutrophilic infiltration has, however, also been implicated in the pathology of various acute and chronic inflammatory diseases, such as rheumatoid arthritis (RA), gouty arthritis and Crohn's disease [
3‐
5]. In RA, PMN are highly abundant in synovial fluid (SF) during acute flares of the disease [
6]. In addition, PMN have been detected at the pannus–cartilage junction at sites of erosion, suggesting that they contribute to cartilage destruction through the release of their proteolytic contents [
7,
8]. Moreover, PMN obtained from SF from patients with RA were found to produce a number of cytokines and chemotactic factors involved in the recruitment of inflammatory cells [
9,
10]. Because PMN are among the first cells to arrive at an inflammatory site, these observations raise the possibility that SF PMN may be able to perpetuate the inflammatory process through the release of inflammatory mediators such as cytokines and chemokines.
Chemokines are a superfamily of more than 50 different chemotactic proteins participating in the cellular traffic of immune and inflammatory responses [
11]. They are categorized into at least four subfamilies, namely C, CC, CXC and CX3C, distinguished by the presence or absence of a residue (X) between two conserved cysteine residues in the N terminus. Chemokines range in size from 8 to 10 kDa and are produced by a wide variety of cell types [
10,
12]. Their production either occurs constitutively or may be induced by appropriate stimulation with exogenous or endogenous agents, such as the proinflammatory cytokines IL-1 and TNF-α [
13]. Chemokines are known to exert their biological effects on various cell types through binding to G-protein-coupled cell surface receptors with seven transmembrane domains [
14]. Chemokine receptors may be specific for one ligand or they may bind several chemokines [
15], thus allowing redundancy of the system. During activation of PMN, expression of CC chemokine receptors is upregulated, whereas that of some CXC receptors is downregulated [
16]. Regulation of chemokine activities therefore occurs at the levels of receptor expression as well as ligand production.
CCL18, also named pulmonary and activation-regulated chemokine (PARC), dendritic cell-derived CC chemokine-1 (DC-CK1), alternative macrophage activation-associated CC chemokine-1 (AMAC-1) and macrophage inflammatory protein-4 (MIP-4), has been described to attract naïve T cells and mantle-zone B cells [
17]. Cellular sources of CCL18 are primarily monocytes/macrophages and dendritic cells (DCs). Its production occurs constitutively but may be increased by additional stimulation with cytokines such as IL-10 and IL-4 as well as vitamin D
3 [
18,
19]. In RA, expression of mRNA encoding CCL18 was observed in synovial tissue and it coincided with CCL18 accumulation in SF [
19,
20].
The present study used a broad-scale experimental approach, involving microarray and quantitative RT-PCR analyses, to determine whether PMN can serve as a site for CCL18 production in RA. The results demonstrate that SF PMN from patients with RA are a cellular source for CCL18, the production of which is differentially regulated at the levels of mRNA expression and protein synthesis. Moreover, because PMN are recruited into SF, a characteristic chemokine expression profile is induced with highly upregulated mRNAs for CCL3, CCL18, CXCL8 and CXCL10 and downregulation of CCL21 mRNA.
Materials and methods
Patients
SF samples were taken from knees of nine patients with active RA, for treatment and diagnostic purposes. Aliquots of these samples and EDTA-treated blood from these patients were used in this study after informed consent had been obtained. Four patients were receiving anti-TNF-α therapy, three were being treated with conventional therapy (nonsteroidal anti-inflammatory drugs, steroids or disease-modifying anti-rheumatic drugs), and two patients were receiving no medication at the time of synovial effusion although those had been treated earlier (Table
1). Hence, all patients did not respond sufficiently to the therapeutic treatment.
Table 1
Clinical data for patients with RA and healthy donors providing samples for microarray analysis
RA patient |
1 | Female | 55 | NSAID (diclofenac) |
2 | Female | 53 | None |
3 | Female | 72 | Anti-TNF-α (adalimumab) |
4 | Female | ND | None |
5 | Female | 44 | Anti-TNF-α (infliximab) |
6 | Female | 80 | DMARDs (methotrexate and resochine) |
7 | Female | 35 | Anti-TNF-α (infliximab) |
8 | Male | 61 | Anti-TNF-α (infliximab) |
9 | Male | 51 | DMARD (methotrexate); steroid (cortisone) |
Healthy donor |
1 | Female | 30 | None |
2 | Female | 26 | None |
3 | Female | 38 | None |
4 | Male | 27 | None |
Purification of mononuclear cells and PMN from blood and SF
Purification of mononuclear cells (peripheral blood mononuclear cells; PBMC) and PMN from blood was performed as described [
21], with minor modifications. For sedimentation of erythrocytes, 1 volume of EDTA-treated blood was incubated with 1 volume of 3% dextran T500 (Roth, Karlsruhe, Germany) in PBS (Biochrom, Berlin, Germany) for 20 minutes at 4°C. The leucocyte-rich supernatant was centrifuged at 500
g for 10 minutes at 6°C in a Multifuge (Heraeus, Hanau, Germany). The pellet was resuspended in PBS, overlaid on an isotonic discontinous Percoll gradient (Amersham Biosciences, Freiburg, Germany) with densities of 1.075 g/ml and 1.09 g/ml and centrifuged at 750
g for 25 minutes at 6°C. PBMC or PMN were collected at the relevant interphase and washed twice with PBS. With the exception of dextran sedimentation, the preparation of SF PMN was performed similarly. Cell-free SF was obtained by centrifugation of SF at 750
g for 25 minutes and stored at -70°C in aliquots until use. PMN and mononuclear cells were counted in SF from patients with RA. The ratio between PMN and mononuclear cells was approximately 1:10.
Flow cytometry
The purity of PMN was routinely analyzed by flow cytometry with FACSCalibur (BD Biosciences, Heidelberg, Germany). In brief, to prevent nonspecific binding, 3 × 105 cells were preincubated for 10 minutes with heat-inactivated (20 minutes, 56°C) human serum and were then incubated with a combination of fluorescein isothiocyanate-conjugated CD66b antibody (Immunotech, Hamburg, Germany) and allophycocyanin (APC)-conjugated CD14 antibody (Caltag, Hamburg, Germany). After 30 minutes at 4°C, cells were washed twice with PBS/1% FCS (Sigma, Deisenhofen, Germany) and kept on ice until analysis. Data were analyzed with CellQuest software (BD Biosciences), revealing a purity of 98 to 99% CD66b-positive PMN with a contamination of less than 0.05% CD14-positive and CD66b-negative cells. Analysis of PMN preparations of three donors with anti-CD56-APC (BD Biosciences), anti-CD3-phycoerythrin (Caltag) and anti-CD19-APC (Caltag) revealed 0.01 to 0.04% natural killer cells, 0.06 to 0.33% T cells and up to 0.06% B cells. In addition, PMN preparations were subjected to histochemistry (Diff-Quick staining; Dade Behring, Düdingen, Switzerland) showing 1 to 3% eosinophils in each preparation of blood PMN. Selected cell culture experiments were performed with PMN preparations depleted of eosinophils with anti-CD16 antibodies by means of magnetic-activated cell sorting (Miltenyi Biotec, Bergisch Gladbach, Germany) to exclude the possibility that contaminating eosinophils accounted for CCL18 production. Notably, no eosinophils were detectable in preparations of SF PMN.
Cell culture
For culturing PMN, RPMI 1640 containing L-glutamine and sodium bicarbonate (Sigma) was supplemented with 5 mM HEPES (Sigma), 100 IU/ml penicillin, 100 μg/ml streptomycin (Sigma) and 10% FCS. For pretreatment of PMN with SF, blood PMN from healthy donors were seeded in six-well-plates (Corning Costar, Bodenheim, Germany) at a density of 5 × 107 cells in 5 ml of culture medium or 2.5 ml of culture medium plus 2.5 ml of SF from patients with RA. After 10 hours of incubation, cells were washed twice. Pretreated blood PMN as well as freshly isolated blood PMN from healthy donors or blood and SF PMN from patients with RA were seeded in 24-well plates (Greiner Bio-One GmbH, Frickenhausen, Germany) at a density of 5 × 106 cells in 500 μl of culture medium with and without 20 ng/ml IL-10 (Endogen, Eching, Germany), 10-7 M vitamin D3 (1,25-dihydroxycholecalciferol; Calbiochem, Darmstadt, Germany) and different concentrations (10, 1, 0.5 and 0.25 ng/ml) of recombinant TNF-α (Biolegend, Eching, Germany). In addition, for co-culture experiments, 5 × 105 EA-hy.926 human endothelial cells (Department of Experimental Pathology, St Bartholomew's and the Royal London School of Medicine, London) were plated in 24-well plates in DMEM with 4,500 mg/l glucose, L-glutamine, sodium bicarbonate and pyridoxine hydrochloride (Sigma) supplemented with 100 IU/ml penicillin, 100 μg/ml streptomycin and 10% FCS. After 1 hour of incubation at 37°C, 5% CO2 and 95% humidity, 5 × 105 PBMC or 5 × 106 blood PMN from healthy donors were added to a final volume of 500 μl of DMEM/10% FCS. Additionally PMN and EA-hy.926 cells were cultured in Boyden chambers, separated by a transwell membrane with a pore size of 0.4 μm (Corning Costar). For control experiments, blood PMN or EA-hy.926 cells were γ-irradiated (40 Gy), washed twice after 24 hours of incubation and co-cultured with vital EA-hy.926 cells or PMN, respectively. After 24 or 48 hours of incubation, cells and supernatants were prepared for subsequent isolation of RNA or ELISA analysis.
RNA sample preparation
For microarray analysis and RT-PCR, total RNA was extracted from PMN with RNeasy Mini Spin Columns (Qiagen, Hilden, Germany) in accordance with the manufacturer's instructions. From cell cultures, RNA was prepared with the acid-phenol extraction procedure [
22]. All RNA samples were digested with DNAse (DNA-free™ Kit; Ambion, Huntingdon, UK). RNA yields were determined spectrophotometrically by measuring the absorbance at 260 and 280 nm. All RNA samples used for microarray analysis were analyzed with an RNA 6000 Nano Labchip (Agilent Technologies, Böblingen, Germany) for RNA degradation. Only RNA preparations with no detectable degradation were used for microarray analysis.
Microarray hybridization
Experiments were performed with the Lab-Arraytor
®-60 inflammation microarray (SIRS-Lab, Jena, Germany) comprising 800 probes (each measurement being made in triplicate) addressing 780 transcripts corresponding to inflammation as well as 20 control probes. The microarray data according to Minimal Information about a Microarray Experiment (MIAME) guidelines were deposited in the database ArrayExpress [
23] with the accession number E-MEXP-994. RNA samples of SF PMN from nine RA patients and of blood PMN from four healthy donors (Table
1) were amplified with BD Atlas™ SMART™ Fluorescent Amplification Kit (BD Biosciences) in accordance with the manufacturer's instructions. cDNAs were cleaned with a Promega Wizard PCR clean-up Kit (Promega, Mannheim, Germany) and labeled by use of the Dyomics DY-648-S-NHS/DY-548-S-NHS dye system (Dyomics, Jena, Germany). Dyomics DY-648-S-NHS-labeled cDNA was cohybridized with DY-548-S-NHS-labeled cDNA obtained from the same amount of total RNA isolated from the immature monocytic cell line SigM5 obtained from the German Resource Centre for Biological Material (DSMZ, Braunschweig, Germany) and subjected to culture under standard conditions. After incubation in a hybridization apparatus (HS 400; TECAN Group Ltd, Männedorf, Switzerland), for 10 hours at 42°C in a formamide-based hybridization buffer system, arrays were washed in accordance with the manufacturer's instructions and dried; hybridization signal intensities were measured immediately with an array scanner (model Gene Pix 4000B; Axon Instruments, Union City, CA, USA).
Microarray data preprocessing
Digital images resulting from post-hybridization array scanning were quantified with GenePix Pro 4.0 software (Axon Instruments). GenePix™ Analysis Software was used for spot detection and quantification and also for spot quality flagging. Significantly regulated genes were determined by using a two-sample permutation test. The threshold of significance for multiple comparisons was defined with calculating the corresponding
q value for each
p value [
24]. For normalization and variance-stabilized transformation of raw signals the method of Huber and colleagues [
25] was used, in which the data were transformed by an arcsinh function; for example, a transformed ratio of ± 0.4 corresponds to approximately 1.5-fold change (almost identical with the natural logarithm). Genes with mean transformed ratios less than -1 and larger than +1 were significantly regulated. Genes were clustered with the Database for Annotation, Visualization and Integrated Discovery (DAVID) software [
26].
Semiquantitative and quantitative RT-PCR
Changes in gene expression assessed by microarray analysis were confirmed by semiquantitative and quantitative RT-PCR for selected genes, namely CXCL10, CCL18, CCRL2 and CXCR4. In brief, cDNA was synthesized from 0.5 μg of total RNA by using 0.5 μg of oligo(dT) 16-mer primer (Thermo, Ulm, Germany), 0.5 mM dNTP (Invitrogen, Karlsruhe, Germany) and 1 unit (U) of Omniscript reverse transcriptase (Qiagen) in a final volume of 25 μl at 37°C for 60 minutes and at 93°C for 5 minutes. PCR was performed in a 25 μl reaction mixture containing 2 μl of cDNA sample, 0.625 U of
Taq polymerase (Qiagen), 0.2 mM dNTPs (Invitrogen) and sense and antisense primers (each at 0.4 μM). Amplification was performed at 95°C for 2 minutes followed by 34 cycles with a denaturing step at 94°C for 1 minute, an annealing step at 55°C for 50 s and an extension step at 72°C for 90 s. A final extension step was performed at 72°C for 7 minutes on a thermocycler (Biozym, Hess. Oldendorf, Germany). Primers for CCRL2 (5'-TGA CAA GTA TGA CGC CCA G-3' and 5'-ACC AGG ATA AGC ACA ACC AG-3'), CCL18 (5'-CTC CTT GTC CTC GTC TGC AC-3' and 5'-TCA GGC ATT CAG CTT CAG GT-3'), CXCR4 [
27], CXCL10 [
28] and β-actin [
29] were purchased from MWG Biotech (Ebersberg, Germany). PCR samples were separated on 2% agarose gels (Roth), revealed by ethidium bromide staining (Merck, Darmstadt, Germany) and photographed on an ImageMaster VDS (Amersham Biosciences).
Quantitative PCR was performed in a 20 μl reaction mixture containing 2 μl of cDNA (diluted 1:5 in water), 1 U of Platinum-Taq-Polymerase (Invitrogen), 0.5× SYBR-Green (Roche, Mannheim, Germany), 5% dimethylsulfoxide (Sigma), 0.5 mg/ml bovine serum albumin (New England Biolabs, Frankfurt, Germany), 0.25 mM dNTP (Amersham), 4 mM magnesium chloride (Invitrogen) and sense and antisense primers (each at 0.4 μM). Amplification was performed with a real-time light cycler (Roche) at 95°C, 10 minutes, 20°C/s of preincubation followed by 50 cycles of denaturing at 95°C, 15 s, 20°C/s, annealing at 55°C (CCL18) and 56°C (HPRT), 10 s, 20°C/s and extension at 72°C, 15 s, 20°C/s. The melting curve was performed at 95°C, 0 s, 20°C/s followed by 65°C, 15 s, 20°C/s and 95°C, 0 s, 0.1°C/s. Cooling was done at 40°C, 30 s, 20°C/s. CCL18 values were normalized with HPRT values and are presented as relative gene expression ratios with the 2
-ΔΔCt method [
30]. CCL18 primer (5'-GGG GGC TGG TTT CAG AAT A-3' and 5'-CTC CTT GTC CTC GTC TGC AC-3') and HPRT primer (5'-GAC TTT GCT TTC CTT GGT CA-3' and 5'-GGC TTT GTA TTT TGC TTT TCC-3') for quantitative RT-PCR were purchased from MWG Biotech. All primer sequences correspond to sequences for human cDNAs deposited in GenBank.
ELISA analysis
CCL18 and TNF-α levels in culture supernatants were quantified with human CCL18 and TNF-α ELISA (DuoSet® ELISA Development System; R&D Systems, Wiesbaden-Nordenstadt, Germany) in accordance with the manufacturer's instructions. Substrate reagents A and B were from BD Biosciences. The sensitivity of both assays was 5 pg/ml.
Statistical analysis
All experiments were performed at least three times. The values are expressed as means ± SEM. A Wilcoxon test was used to assess the significance of differences between two conditions. All p values are two-tailed, and p < 0.05 is considered significant. Statistical analysis was performed with the software package provided by Prism 3.0®.
Discussion
This study describes PMN, and particularly SF PMN from patients with RA, as a novel cellular source of the chemokine CCL18. As judged by the immunostaining of SF PMN with anti-CD66b, nongranulocytic cells constituted less than 1% of the PMN preparations. Flow cytometry confirmed the low frequency (0.05%) of CD14-positive monoctyes/macrophages in isolated PMN populations, suggesting that contaminating cells are unlikely to have a significant role in the chemokine profile determined by microarray analysis. In addition, data are presented to show that the production of CCL18 by PMN is differentially regulated at the levels of mRNA expression and protein synthesis. CCL18 was originally described to be constitutively expressed in lung and lymphoid tissue [
32]. At the cellular level CCL18 production seems to be restricted to dendritric cells and monocytes/macrophages [
18,
19]. T helper cell type 2-related cytokines, including IL-4, IL-10 and IL-13, were found to induce or enhance CCL18 expression, whereas the T helper type 1-derived interferon-γ suppressed CCL18 mRNA expression [
17]. There is also evidence for a superantigen-induced CCL18 production by PBMC [
19].
It is shown here that CCL18 mRNA expression is induced in PMN by TNF-α in the absence of detectable amounts of CCL18 protein, suggesting that TNF-α provides an early signal for CCL18 transcription. Consistent with these cell culture observations, steady-state levels of CCL18 mRNA were readily found in SF PMN from patients with RA in the absence of detectable cell-associated CCL18. Its synthesis, however, was inducible on incubation of SF PMN with IL-10. Previous studies showed that TNF-α is able to prime PMN for subsequent downstream events [
33]. Hence it is reasonable to conclude that CCL18 production by PMN requires two independent signals, one for mRNA expression, provided by TNF-α, and the other for protein synthesis, mediated by IL-10; these two cytokines are readily available in SF [
31]. In DC cultures, differential regulation of CCL18 mRNA and protein expression has been attributed to changes in maturation [
34,
35]. It is unclear whether additional maturation also accounts for the differential regulation of CCL18 in PMN, because this cell type is considered to be terminally differentiated. However, Iking-Konert and colleagues [
36] suggested that SF PMN can further differentiate into a dendritic-like phenotype. Another speculative explanation for the regulation of CCL18 synthesis in PMN might involve microRNAs [
37].
Because TNF-α-dependent production of CCL18 by PMN was inducible by means of cell–cell contact with endothelial cells, IL-10 may not be the only inducer for CCL18 synthesis. It has previously been shown that recognition of β2-integrin/ICAM-1 on fibroblast-like synoviocytes induced MIP-1α expression in SF PMN [
38]. Whether a similar ICAM-1-related mechanism accounts for the endothelial cell-mediated induction of CCL18 in PMN is unknown.
IL-10 alone was unable to induce CCL18 in blood PMN, and its release was not enhanced by stimulating PMN with IL-10 in combination with TNF-α. The apparent difference in IL-10 responsiveness between SF PMN and blood PMN from patients with RA may result from different expression patterns of the IL-10 receptors (IL-10R). It was shown that circulating PMN express high levels of the IL-10R2 and low levels of IL-10R1 [
39]. Increasing IL-10R1 by stimulation with lipopolysaccharide coincided with an increased responsiveness of PMN to IL-10. The increased responsiveness in SF PMN may be induced by soluble factors present in SF, because preincubation of blood PMN with SF supported the induction of CCL18 by IL-10 alone. In this context, CCL18 production was synergistically enhanced when PMN were stimulated with IL-10 in combination with vitamin D
3. These findings suggest that the high CCL18 levels in SF from RA patients [
19] may be induced synergistically, as previously shown for monocytes cultured with IL-10 and SF from patients with RA [
35]. The unidentified stimulating activity in SF [
35] may be attributed to vitamin D
3, because SF macrophages were shown to be able to produce vitamin D
3 in cell culture experiments [
40]. As IL-10 and vitamin D
3 are known to have anti-inflammatory properties [
41,
42], the release of CCL18 induced by these mediators might contribute to a suppression of joint inflammation.
CCL18 has already been recognized in tissues and joints of patients with RA. In particular, high levels of CCL18 were measured in SF, and immunostaining of tissue sections revealed CCL18 production in perivascular regions of the synovia in CD68-positive monocytes/macrophages [
19]. Furthermore, CCL18 mRNA and protein were found in DCs, generated
in vitro from monocytes of RA patients [
43], implying that high levels of CCL18 in SF originate from macrophages as well as DCs. The contribution of PMN to the accumulation of CCL18 in SF is difficult to judge because the cells have a low production rate for cellular mediators. However, because PMN are the majority of cells recruited into SF, the large number of PMN may compensate for their low production rate at the cellular level [
44]. PMN may therefore be considered a cellular source of CCL18, contributing at least partly to the levels of CCL18 found in diseased joints.
Microarray analysis was performed to compare CCL18 mRNA expression in SF PMN from patients with RA with expression levels of other chemokines. The results show a characteristic profile of highly regulated chemokine mRNAs that form a group of four upregulated chemokines, namely CCL18, CCL3, CXCL8 and CXCL10, and one downregulated chemokine, namely CCL21. It is therefore unlikely that SF PMN favor the formation of ectopic germinal centers, in which increased levels of CCL21 were detected [
45]. In contrast with the transcriptional program of terminal granulocytic differentiation [
46], chemokines in SF PMN from patients with RA were not upregulated in parallel with their receptors. With the exception of CXCR4, CCRL2 and CCR5 mRNAs, most chemokine receptors were downregulated in SF PMN, supporting the notion of a differential modulation of chemokine receptors and their ligands during chronic inflammation. These findings suggest that SF PMN from patients with RA develop into a stage of unresponsiveness through the downregulation of chemokine receptors. Possible mechanisms accounting for the suppression of chemokine responsiveness may include ligand-induced receptor internalization and TNF-α-mediated proteolytic degradation of chemokine receptors [
47]. However, it is also possible that some of the SF PMN with low levels of CXCR1, for example, develop into the recently described long-lived PMN with the capability of migrating across the endothelium in a retrograde direction [
48]. In contrast, large numbers of CCR5 molecules on PMN have been attributed to a sequestration of chemokines, which may help to resolve the local inflammation [
49]. Upregulation of CCR5 mRNA in SF PMN may therefore contribute to a regulation of the local chemokine response in diseased joints. The role of CCRL2 on SF PMN remains obscure, because no ligand has yet been identified [
50].
Microarray analysis of blood PMN from patients with X-linked chronic granulomatous disease revealed increased mRNA levels for only two chemokines, namely CXCL8 and CXCL1 [
51]. When compared with the chemokine expression profile in SF PMN from patients with RA, the data indicate a disease-specific expression of chemokines in PMN. This conclusion is supported, at least in part, by the results of Sukumaran and colleagues [
52], who reported the upregulated expression of chemokine genes encoding CXCL1, CXCL2, CXCL3, CXCL8, CCL3, CCL4 and CCL20 after infection of PMN with
Anaplasma phagocytophilum. However, no mRNA expression was observed for CCL18 and CXCL10 in PMN infected with
A. phagocytophilum.
Competing interests
The authors declare that they have no competing interests.
Authors' contributions
JA performed research and supported the paperwork including figures and text. MB performed the microarray analysis. HS-K and TN, as physicians at the local hospital, prepared the samples from patients with RA. SR supervised the microarray analysis. MR and JRK provided advice on experimental design. HUB supervised the experimental work and wrote the paper. All authors read and approved the final manuscript.