Skip to main content
  • Research article
  • Open access
  • Published:

A2A and A3 adenosine receptor expression in rheumatoid arthritis: upregulation, inverse correlation with disease activity score and suppression of inflammatory cytokine and metalloproteinase release

Abstract

Introduction

The reduction of the inflammatory status represents one of the most important targets in rheumatoid arthritis (RA). A central role of A2A and A3 adenosine receptors (ARs) in mechanisms of inflammation has been reported in different pathologies. The primary aim of this study was to investigate the A2A and A3ARs and their involvement in RA progression measured by Disease Activity Score in 28 or 44 joints (DAS28 or DAS).

Methods

ARs were analyzed by saturation binding assays, mRNA and Western blotting analysis in lymphocytes from early and established RA patients. The effect of A2A and A3AR agonists in nuclear factor kB (NF-kB) pathway was evaluated. Tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β) and interleukin-6 (IL-6) release was carried out by A2A and A3AR activation. AR pharmacological regulation in matrix metalloproteinase-1 (MMP-1) and metalloproteinase-3 (MMP-3) release was also studied.

Results

In lymphocytes obtained from RA patients, A2A and A3ARs were up-regulated if compared with healthy controls. A2A and A3AR activation inhibited the NF-kB pathway and diminished inflammatory cytokines such as TNF-α, IL-1β and IL-6. A2A and A3AR agonists mediated a reduction of MMP-1 and MMP-3 release. A2A and A3AR density inversely correlated with DAS28 and DAS suggesting a direct role of the endogenous activation of these receptors in the control of RA joint inflammation.

Conclusions

Taken together these data demonstrate that the inflammatory and clinical responses in RA are regulated by A2A and A3ARs and support the use of A2A and/or A3AR agonists as novel and effective pharmacological treatment in RA patients.

Introduction

Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by progressive joint destruction associated with synovial proliferation and secretion of high levels of pro-inflammatory mediators, including cytokines and growth factors [1, 2]. Early diagnosis and therapy are crucial in order to prevent unfavorable outcome with joint deterioration and functional disability [3]. Therapeutic strategies are primarily based on disease modifying anti-rheumatic drugs (DMARDs) alone or in combination with biological drugs, in case of inadequate response. This represents the most innovative and effective treatment to slow the progression of the disease [4, 5]. To date, rheumatologists have widely adopted the 28-joint Disease Activity Score (DAS28) or 44-joint Disease Activity Score (DAS) as validated and reliable composite indexes to assess RA disease activity [6–8].

In RA the inflammatory process leads to the advancing and permanent degradation of the cartilage with synovial hyperplasia, change in underlying bone and high levels of inflammatory mediators [9, 10]. It is widely accepted that cytokines such as tumor necrosis factor-α (TNF-α), the interleukin-1 (IL-1) family and interleukin-6 (IL-6) have various important activities in the context of the RA pathogenesis [11]. In particular, IL-6 interacts in complex ways with the cells involved in bone remodelling indirectly, promoting osteoclastogenesis and contributing to the severity of the radiological joint damage [12]. Many proteinases are expressed in joint tissues of RA patients even if among them different matrix metalloproteinases (MMPs) are believed to have a key role in joint destruction [13]. Of these, MMP-1 and MMP-3 are particularly important because they are produced by fibroblast-like synoviocytes and monocytes/macrophages in the synovium and are known to play a key role in tissue destruction [14, 15].

Several papers report a central role of adenosine receptors (ARs) in mechanisms of inflammation associated to various pathologies suggesting that their stimulation has a different effect on the release of several pro-inflammatory cytokines [16–18]. Adenosine, a purine nucleoside, is considered a potent regulator acting with four cell surface receptor subtypes - A1, A2A, A2B and A3ARs, which are coupled to different G proteins [19, 20]. The A1 and A3ARs exert an inhibitory effect on cAMP production while A2A and A2BARs mediate an increase of cAMP accumulation [21–24]. In RA patients, adenosine suppresses the elevated levels of pro-inflammatory cytokines such as TNF-α and IL-1β [25, 26]. It has also been shown that A3ARs are over-expressed in patients with autoimmune inflammatory diseases, including RA, and that A3AR pharmacological treatment modulates an improvement in signs and symptoms [27–29].

From this background it is accepted that the release of various inflammatory mediators in RA patients could be closely associated with ARs, suggesting their potential role as therapeutic target and the application of novel pharmacological approaches in the treatment of RA. Additional data regarding a possible correlation between validated disease activity scores, such as DAS28 or DAS, and AR density could be very important in better ascertaining the modulation of joint inflammatory status and, as a consequence, the disease progression.

In a previous study, our group showed that A2A and A3 ARs are up-regulated in early RA (ERA) patients and after methotrexate treatment but not in RA patients treated with anti-TNF-α agents [30]. To confirm these data in a larger cohort of patients, we have investigated in this study the presence of A1, A2A, A2B and A3ARs by saturation binding assays, mRNA and Western blotting analysis in human lymphocytes from RA patients with established disease more than 12 months and ERA patients with symptom duration less than 12 months in comparison with age-matched healthy subjects. The effect of A2A and A3AR agonists or antagonists in nuclear factor kB (NF-kB) activation and in the production of proinflammatory cytokines was evaluated. The joint degradation process that is believed to be largely mediated by proteases has been analyzed by evaluating the effect of A2A and A3AR agonists on MMP-1 and MMP-3 production. To shed some light on the role of ARs in the therapeutic approach, the correlation between A2A and A3AR density expressed as Bmax values with DAS28 and DAS was explored.

Materials and methods

Patients and control subjects

All patients enrolled in this study were recruited from the Rheumatology Section, Department of Clinical and Experimental Medicine, University of Ferrara, Italy. A total of 95 patients was included and divided into ERA patients (n = 32) and RA patients (n = 63). ERA patients were diagnosed according to the following criteria: symptom duration less than 12 months, synovitis of at least three joints, morning stiffness occurring of more than 30 minutes duration and exclusion of other common causes of arthritis. RA patients with established disease of more than 12 months fulfilled the American College of Rheumatology (ACR) 1987 criteria for rheumatoid arthritis [31]. All of the ERA patients were followed up for an additional 12-month period after which the ACR criteria were met. The demographic, clinical and pharmacological details are listed in Table 1.

Table 1 Clinical features and pharmacological treatments in RA patients

Disease activity was assessed using the validated indexes DAS28 and DAS, the Health Assessment Questionnaire (HAQ) was used to evaluate functional impairment, the anti-cyclic citrullinated peptide (anti-CCP) and rheumatoid factor (RF) were also checked by using a second generation ELISA method and nephelometry, respectively [32–34].

Healthy controls (n = 90), matched for similar age to the cohort of RA patients, were volunteers from Ferrara University Hospital Blood Bank. The study was approved by the local Ethics Committee of the University Hospital of Ferrara and informed consent was obtained from each participant in accordance with the principles outlined in the Declaration of Helsinki.

Additional data describing materials and detailed methods, including human lymphocyte preparation, real time quantitative polymerase chain reaction (RT-PCR), Western blotting, saturation binding experiments and ELISA are published in the online supplementary material.

Sample collection and human lymphocyte preparation

Lymphocytes were isolated and prepared as previously described from the peripheral blood of control subjects, ERA and RA patients [30]. The isolation of blood cells started no later than three to four hours after the samples had been taken. The blood was supplemented with 6% (by weight) Dextran T500 solution (Sigma, St Louis, MO, USA) and erythrocytes were allowed to settle down for 60 minutes. Leukocytes were pelleted by centrifugation for 15 minutes at 100 g and the remaining erythrocytes were lyzed in distilled water at 4°C. Cells were pelleted by centrifugation for five minutes at 250 g, suspended in Krebs-Ringer phosphate buffer and layered onto 10 ml of Fycoll-Hypaque (GE Healthcare, Little Chalfont, UK). After centrifugation, mononuclear cells were washed in 0.02 M phosphate-buffered saline at pH 7.2 containing 5 mM MgCl2 and 0.15 mM CaCl2. Finally, they were decanted into a culture flask and placed in a humidified incubator (5% CO2) for 2 h at 37°C. This procedure, aimed at removing monocytes, which adhere to the culture flasks, resulted in a purified lymphocyte preparation containing at least 99% small lymphocytes identified by morphological criteria.

To obtain membrane suspensions, cell fractions were centrifuged in hypothonic buffer at 20,000 g for 10 minutes. The resulting pellet was resuspended in tris HCl 50 mM buffer pH 7.4 containing 2 UI/ml adenosine deaminase (Sigma) and incubated for 30 minutes at 37°C. After the incubation the suspension was centrifuged again at 40,000 g for 10 minutes and the final pellet was used for radioligand binding assays. The protein concentration was determined by a Bio-Rad method with bovine albumine as reference standard [30].

Real-Time quantitative polymerase chain reaction (RT-PCR) experiments

Total cytoplasmic RNA was extracted by the acid guanidinium thiocyanate phenol method. Quantitative RT-PCR assays [22] of A1, A2A, A2B and A3AR mRNAs were carried out using gene-specific fluorescently labelled TaqMan MGB probe (minor groove binder) in a ABI Prism 7700 Sequence Detection System (Applied Biosystems, Warrington, Cheshire, UK). For the RT-PCR of A1, A2A, A2B and A3ARs the Assays-on-Demand™ Gene expression Products NM 000674, NM 000675, NM 000676 and NM 000677 were used respectively. For the RT-PCR of the reference gene, the endogenous control human β-actin kits were used, and the probe was fluorescent-labeled with VIC™ (Applied Biosystems, Monza, Italy).

Western blotting analysis

Human lymphocytes were washed with ice-cold phosphate buffer saline containing 1 mM sodium orthovanadate, 104 mM 4-(2-aminoethyl)-benzenesulfonyl fluoride, 0.08 mM aprotinin, 2 mM leupeptin, 4 mM bestatin, 1.5 mM pepstatin A, 1.4 mM E-64 (Sigma). Then cells were lysed in Triton lysis buffer and the protein concentration was determined using BCA protein assay kit (Pierce, Rockford, IL, USA).

Aliquots of total protein sample (50 μg) were analyzed using antibodies specific for human A1, A2B, A2A and A3ARs (1 μg/ml dilution, Alpha Diagnostic, San Antonio, TX, USA) [22]. Filters were washed and incubated for one hour at room temperature with peroxidase-conjugated secondary antibodies (1:2,000 dilution). Specific reactions were revealed with Enhanced Chemiluminescence Western blotting detection reagent (GE Healthcare, Little Chalfont, UK).

Saturation binding experiments to A1, A2A, A2B and A3ARs

Saturation binding experiments to A1ARs were performed by using (3H)-DPCPX ((3H)-1,3-dipropyl-8-cyclopentyl-xanthine, specific activity 120 Ci/mmol, Perkin Elmer Life and Analytical Sciences, Boston, MA, USA) as radioligand [30]. Human lymphocyte membranes (60 μg of protein/assay) with 8 to 10 concentrations of (3H)-DPCPX (0.01-20 nM) were incubated for 90 minutes at 25°C. Non-specific binding was determined in the presence of DPCPX 1 μM.

Saturation binding to A2AARs was carried out with the use of (3H)-ZM 241385 ((3H)-4-(2-(7-amino-2-(2-furyl)(1,2,4)-triazolo(2,3-a)(1,3,5)triazin-5-ylamino)ethyl) phenol, specific activity 27 Ci/mmol, Biotrend, Cologne, Germany), as radioligand [30]. Cell membranes (60 μg of protein/assay) were incubated for 60 minutes at 4°C with various concentrations (0.01 to 20 nM) of (3H)-ZM 241385. Non specific binding was determined in the presence of ZM 241385 1 μM.

Saturation binding experiments to A2BARs were analyzed using (3H)-MRE 2029F20 ((3H)-N-benzo(1,3)dioxol-5-yl-2-(5-(2,6-dioxo-1,3-dipropyl-2,3,6,7-tetrahydro-1H-purin-8-yl)-1-methy-1H-pyrazol-3-yl-oxy)-acetamide, specific activity 123 Ci/mmol, GE Healthcare, Little Chalfont, UK) as radioligand [30]. Cell membranes (80 μg of protein/assay) and (3H)-MRE 2029F20 (0.01 to 30 nM) were incubated for 60 minutes at 4°C and non-specific binding was determined in the presence of MRE 2029F20 1 μM.

Saturation binding experiments to A3ARs were assessed using [3H]-MRE 3008F20 ((3H)-5N-(4-methoxyphenylcarbamoyl) amino-8-propyl-2-(2-furyl) pyrazolo (4,3-e)-1,2,4-triazolo (1,5-c)pyrimidine, specific activity 67 Ci/mmol, GE Healthcare, UK) as radioligand [30]. The membranes (80 μg of protein/assay) with (3H)-MRE 3008F20 (0.01 to 30 nM) were incubated at 4°C for 150 minutes and MRE 3008F20 1 μM was used to evaluate non specific binding.

Bound and free radioactivity was separated by filtering the assay mixture through Whatman GF/B glass fibre filters by using a Brandel cell harvester. The filter bound radioactivity was counted in a 2810 TR liquid scintillation counter Packard (Perkin Elmer, Boston, MA, USA).

Lymphocyte cell culture

Isolated lymphocytes from controls and RA patients were suspended at a density of 106 cells/ml in RPMI 1640 medium supplemented with 2% fetal bovine serum (Euroclone, Milan, Italy) and seeded into 24-well plates (1 ml/well). Cells were allowed to rest for two hours in a 37°C incubator in 5% CO2/95% air.

Cells were then pre-incubated for 15 minutes with 100 nM of CGS 21680 (4-(2-((6-Amino-9-(N-ethyl-β-D-ribofuran uronamidosyl)-9H-purin-2-yl)amino)ethyl)benzene propanoic, Sigma) or Cl-IB-MECA (N6-(3-iodo-benzyl)-2-chloro-adenosine-5'-N-methyluronamide, Sigma) in the absence and in the presence of selected A2A or A3AR antagonists. The antagonists used were SCH 442416 (2-(2-Furanyl)-7-(3-(4-methoxyphenyl)propyl)-7H-pyrazolo(4,3-e)(1,2,4) triazolo(1,5-c)pyrimidin-5-amine, Tocris, Bristol, UK) or MRS 1334 (1,4-Dihydro-2-methyl-6-phenyl-4-(phenylethynyl)-3,5-pyridinedicarboxylic acid 3-ethyl-5-((3-nitrophenyl)methyl) ester, Tocris) at 1 μM concentration, respectively. Adenosine agonists and/or antagonists were incubated before cell activation with 5 ng/ml phorbol myristate acetate (PMA) for 24 hours [35]. At the end of incubation the cell suspension was collected and centrifuged at 1,000 g for 10 minutes at 4°C. Then, the supernatants or cell pellets were used for ELISA assays or nuclear extract preparation, respectively.

NF-kB activation in human cultured lymphocytes

Nuclear extracts from human cultured lymphocytes of the examined patients were obtained by using a nuclear extract kit (Active Motif, Carlsbad, CA, USA) according to the manufacturer's instructions. The NF-kB activation was evaluated by detecting phosphorylated p65 proteins in nuclear extracts by using the TransAM NF-kB kit (Active Motif). Phosphorylated NF-kB subunits specifically bind to the immobilized oligonucleotides containing the NF-kB consensus site (5'-GGGACTTTCC-3'). The primary antibody used to detect NF-kB recognized an epitope in the subunits that is accessible only when it is activated and bound to its DNA target. A horseradish peroxidase (HRP)-conjugated secondary antibody provided a sensitive colorimetric readout that was quantified by spectrophotometry at 450 nm wavelength [30].

Pro-inflammatory cytokines release in cultured lymphocytes

TNF-α levels were measured in human cultured lymphocytes after the treatment described above by using highly sensitive TNF-α enzyme linked immunosorbent assay (R&D Systems, Minneapolis, MN, USA) according to the manufacturer's instructions.

Pro-inflammatory cytokine (IL-1β and IL-6) levels were determined with a quantitative sandwich ELISA kit (R&D Systems) according to the manufacturer's instructions [36]. The reaction was developed with streptavidin-horseradish peroxidase and optical density was read at 450 nm wavelength.

Measurement of total MMP-1 and MMP-3 release in cultured monocytes

To obtain human monocytes, peripheral blood mononuclear cells were seeded in petri dishes at the density of 106/ml. The cells were allowed to adhere to plastic tissues and non adherent cells (lymphocytes) were removed.

In cultured monocytes, MMP levels were measured after the treatment described above by using the corresponding quantitative sandwich ELISA kit (R&D Systems,) according to the manufacturer's instructions [37]. Briefly, the assay systems measure natural and recombinant human active and pro-MMPs (total MMPs).

Statistical analysis

Dissociation equilibrium constants for saturation binding, affinity or KD values, as well as the maximum densities of specific binding sites, Bmax were calculated for a system of one or two-binding site populations by non-linear curve fitting using the program Ligand purchased from Kell Biosoft, Ferguson, MO, USA. All data are reported as mean ± SEM of different independent experiments as indicated in the Results section or in the Figure legends. Analysis of data was performed by one-way analysis of variance (ANOVA). Differences between the groups were analyzed with Dunnett's test and were considered significant at a value of P < 0.01. A simple regression model was used to analyze the linear dependence of clinical variables on Bmax values of A2A and A3ARs.

Results

A2A and A3ARs are up-regulated in RA patients

Figure 1A reports the relative A1, A2A, A2B and A3AR mRNA levels determined by RT-PCR in human lymphocytes from healthy subjects, and ERA and RA patients. Among these receptors only A2A and A3AR mRNA expression in RA patients was significantly increased. Western blotting and densitometric analysis in lymphocytes indicate a significant increase in A2A and A3AR protein expression in RA patients compared to healthy subjects while no differences were found in A1 and A2BARs (Figure 1B, C).

Figure 1
figure 1

A 1 A 2A A 2B and A 3 ARs in RA patients. A) Relative AR mRNA levels determined by RT-PCR in human lymphocytes from ERA (n = 32), RA patients (n = 63) and control subjects (n = 90). B) Representative Western blotting analysis shows immunoblot signals of ARs in ERA, RA patients and controls. C) Densitometric analysis of AR expression in human lymphocytes from ERA (n = 32), RA patients (n = 63) and control subjects (n = 90) indicated as a ratio of β-actin (loading control). Data are expressed as a means ± SEM. *, P < 0.01 vs control group.

The affinity (KD, nM) and receptor density (Bmax, fmol/mg protein) of A1, A2A, A2B and A3ARs in lymphocyte membranes from healthy control group and RA patients are reported in Table 2. In lymphocyte membranes, the affinity and density of A1 and A2BARs were not significantly different in RA patients (ERA and established), if compared with the control group. The affinity of the radioligands for A2A and A3ARs in ERA and RA patients was decreased (*, P < 0.01, Table 2) if compared with the control group. Moreover, A2A and A3AR density was significantly increased in ERA and RA patients compared with healthy subjects (Figure 2).

Table 2 Adenosine receptor binding parameters in lymphocyte membranes from healthy controls, ERA and RA patients
Figure 2
figure 2

Saturation binding experiments of A 2A and A 3 ARs in RA patients. Saturation curves (left) and Scatchard plots (right) showing the binding of (3H)-ZM 241385 to A2AARs (A and B) as well as the binding of (3H)-MRE 3008F20 to A3ARs (C and D) in lymphocyte membranes derived from 90 healthy controls (•), 32 ERA patients (■), 63 RA patients (▲). Saturation binding experiments were performed as described in the online supplementary material and the data are reported in Table 2.

A2A and A3AR agonists reduce NF-kB activation in RA

Cultured lymphocytes of ERA and RA patients were characterized by high levels of activated NF-kB p65 in comparison with control subjects showing 1.5- and 1.6-fold increase, respectively (Figure 3A). CGS 21680 or Cl-IB-MECA (100 nM) were able to significantly inhibit NF-kB levels in the cultured lymphocytes derived from the subjects investigated. This effect was abolished by using well-known A2A and A3AR antagonists SCH 442416 and MRS 1334, respectively. The inhibitory effect mediated by A2A and A3AR agonists in RA patients was more than in healthy subjects (Figure 3A).

Figure 3
figure 3

Effect of A 2A and A 3 AR stimulation in NF-kB, TNF-α, IL-1β, IL-6, MMP-1 and MMP-3. Effect of a well-known A2AAR agonist and antagonist (CGS 21680, 100 nM; SCH 442416, 1 μM) or A3AR agonist and antagonist (Cl-IB-MECA, 100 nM; MRS 1334, 1 μM) in cultured lymphocytes of ERA (n = 30), RA patients (n = 30) and healthy subjects (n = 30) on: NF-kB activation (A) which was evaluated by detecting phosphorylated p65 proteins in nuclear extracts. The effect of the same compounds was also established in TNF-α release in control conditions and stimulated by PMA 5 ng/ml (B) and in IL-1β (C) and IL-6 levels (D). The effect of the same compounds in monocytes from ERA, RA patients and healthy subjects in MMP-1 (E) and MMP-3 (F) activation was investigated. Functional experiments were carried out as described in the online supplementary material. Values are the mean and SEM. *, P < 0.01 versus controls (A); *, P < 0.01 versus PMA-treated cells (B-F).

Cytokine release is inhibited by A2A and A3AR stimulation in RA

The effect of A2A and A3AR agonists and/or antagonists on TNF-α (Figure 3B), IL-1β (Figure 3C) and IL-6 (Figure 3D) release was studied in lymphocytes. In cultured lymphocytes, without endogenous adenosine, obtained from ERA and RA patients, a marked release of TNF-α was observed, reaching 2.8- (ERA) and 3.1- (RA) fold of increase in respect to healthy subjects (Figure 3C). In addition, the stimulation of A2AAR with CGS 21680 mediated a significant inhibition of PMA-induced TNF-α release by 63% in ERA or by 62% in RA patients in comparison with control condition (35%). Similar results were obtained through the A3AR stimulation by using Cl-IB-MECA at the 100 nM concentration (60% in ERA, 57% in RA patients, 28% in healthy subjects). The inhibitory effect of A2A and A3AR agonists was counteracted by the antagonists SCH 442416 and MRS 1334 (1 μM), respectively.

As shown in Figure 3C, D basal levels of IL-1β and IL-6 released by cultured lymphocytes in RA patients were more than in controls. In addition, PMA (5 ng/ml) induced a marked release of these pro-inflammatory cytokines. The stimulation of A2A and A3ARs resulted in a significant reduction of IL-1β and IL-6 confirming their potential anti-inflammatory role in RA patients. The major effect was obtained in lymphocytes from RA patients most likely due to the up-regulation of A2A and A3ARs. A2AAR agonist mediated an inhibition of IL-1β and IL-6 in ERA (62% and 66%, respectively) or in RA patients (64% and 67%, respectively) in comparison with control subjects (Figure 3C). Similar results were obtained by using A3AR stimulation on IL-1β (Figure 3C) and on IL-6 release (Figure 3D). The direct involvement of A2A and A3ARs was demonstrated by using selective antagonists, SCH 442416 and MRS 1334, respectively, that were able to completely abrogate the inhibitory effect mediated by the agonists.

A2A and A3ARs reduce MMP secretion in RA

Incubation of monocytes with PMA (5 ng/ml) for 24 hours induced MMP-1 and MMP-3 protein production. When monocytes were incubated with A2A or A3AR agonists the production of MMP-1 was inhibited in RA patients more than in healthy subjects (60% or 49% in ERA, 58% or 49% in RA patients, 37% or 29% in healthy subjects, respectively) (Figure 3E). Similar results were obtained evaluating the production of MMP-3 suggesting that these MMPs are closely associated with A2A or A3AR modulation (Figure 3F). The inhibitory effect of the A2A and A3AR agonists was blocked by the presence of selective antagonists demonstrating the direct involvement of these AR subtypes.

A2A and A3AR binding parameters correlate with DAS28 and DAS

An inverse correlation was found between DAS28 and A2A or A3AR density expressed as Bmax values in fmol/mg protein (Figure 4A, B). A similar correlation was also found between DAS and A2A or A3AR density (Figure 4C, D). No other significant correlation was found between A2A or A3AR affinity and DAS28 or DAS.

Figure 4
figure 4

Correlation between DAS28 or DAS and A 2A or A 3 AR density. Linear regression analysis between DAS28 or DAS and the receptor density expressed as Bmax (fmol/mg protein) of A2A (A, C) and A3ARs (B, D) in lymphocytes from 32 ERA and 63 RA patients considered as a whole.

Discussion

The primary aim of this study was to investigate the involvement of ARs in RA inflammatory responses and to assess potential relationships between these receptors and disease activity. In lymphocytes from healthy subjects (n = 90) ARs showed affinity values in the nanomolar range and a density from 34 to 137 fmol/mg protein. In ERA patients (n = 32) binding experiments have revealed a significant decrease of the affinity associated with an increase of A2A (3.2-fold) and A3AR (2.1-fold) density as demonstrated by Bmax values (Table 2). Similarly in established RA patients (n = 63) an up-regulation of A2A and A3ARs density values was found. mRNA assays and Western blotting with densitometric analysis supported that A2A and A3ARs are higher in RA patients in respect to control subjects. These data confirmed our previous results obtained in a small cohort of ERA (n = 20) and RA patients (n = 23) showing an increased A2A and A3AR density compared with healthy (n = 30) individuals [30]. In that study our group found that in RA patients treated with anti-TNF-α agents, A2A and A3AR density was similar to control subjects demonstrating an active role of TNF-α in the up-regulation of these receptors, as was also suggested by literature data [38–40]. To date, it has been reported that A3ARs in peripheral blood mononuclear cells of patients with autoimmune inflammatory diseases, such as RA, psoriasis and Crohn's disease, are over-expressed if compared with healthy subjects [27]. A highly specific orally bioavailable A3AR agonist, CF101 has been used in active RA patients where A3ARs are overexpressed in synovial tissue and in peripheral blood mononuclear cells [29].

In this report, we verified whether the increase in A2A and A3AR density was associated with inflammatory cellular responses, such as NF-kB, TNF-α, IL-1β, IL-6, MMP-1 and MMP-3. The ability of CGS 21680 or Cl-IB-MECA to inhibit NF-kB activation was studied showing an increase of their effect in ERA and RA patients. Currently, there is considerable interest in developing specific alternative pharmacological treatments reducing NF-kB activation and pro-inflammatory cytokine production in RA through the involvement of A2A and A3ARs [16]. It has been reported that A3AR overexpression in RA patients induced by inflammatory cytokines is able to reduce NF-kB activation [41]. The complex studies performed on NF-kB activation clearly demonstrated a central role for p65 or p50/p65 heterodimers in the inflammation that underlies RA [13]. It is well known that NF-kB positively regulates gene encoding cytokines, such as TNF-α, IL-1β, IL-6 and other inflammatory factors, suggesting that this transcription factor could be one of the master regulators of inflammatory cytokine production in RA [42]. Animal models of inflammatory arthritis also support the concept that NF-kB activation happened prior to the onset of clinical manifestations of arthritis [43]. In a murine type II collagen-induced arthritis, it was found that NF-kB expression correlated with MMP-13 and MMP-3 levels leading to cartilage destruction and articular damage [44].

It was also reported that several cytokines may participate in the pathogenesis of cartilage damage and TNF-α represents one of the principal cytokines linked to the cartilage destruction. In our experimental conditions the stimulation of A2A and A3ARs reduced the high levels of TNF-α found in ERA and in RA patients, probably via an inhibition of NF-kB. These data are in agreement with previous results showing that the activation of A2A and A3ARs suppresses proinflammatory cytokines [25, 45]. It is well known that different cytokines are expressed and are functionally active in the synovial tissue or in peripheral blood cells of RA patients [11, 46]. We found that the stimulation of A2A and A3ARs mediated a significant decrease of IL-1β or IL-6 release in RA patients in comparison with healthy subjects. These data suggest a direct involvement of adenosine in the expression of IL-6 that represents a key pro-inflammatory cytokine associated with the severity of the joint damage and osteoclastogenesis [12, 47, 48].

The destruction of articular cartilage is a typical pathologic feature of arthritic diseases such as RA mediated by proteases belonging to MMP class enzymes [43]. Among these, MMP-1 and MMP-3 are considered to be of particular interest since they directly degrade the components of the cartilage matrix, including aggrecan and collagen [13]. Proinflammatory cytokines, such as TNF-α and IL-1β, stimulate the production of MMPs through the activation of cellular signaling pathways involving NF-kB [42, 49]. We have investigated the effect of A2A and A3AR stimulation on MMP-1 and MMP-3 production showing a significant inhibition in ERA and RA patients in respect to healthy subjects. In RA patients, the increase of A2A and A3AR density reflected an increase in receptor functionality suggesting a role of adenosine in the reduction of inflammatory status and in cartilage degradation induced by MMP activity and expression. These data are in agreement with those found in studying the inhibitory effect of AR stimulation on MMP-1 and MMP-3 expression in synovial fibroblasts [15, 50].

The progression of RA is quite heterogeneous, ranging from very mild to rapidly progressive and debilitating forms. To optimize the management of the disease, an international task force of rheumatologists has recently delivered recommendations based on the new therapeutic paradigm known as "treat to target". In this new scenario the close monitoring of DAS28 or DAS aimed to reach a state of remission, or alternatively a state of low disease activity, is used by an attending clinician to adjust pharmacological therapy [51]. At the present time due to the multifaceted nature of RA, no single clinical or laboratory parameter is able to describe satisfactorily the level of inflammatory activity or the disease prognosis at any given time [8]. Recently, it has been reported that the presence of a relationship between DAS28 and serum adenosine deaminase (ADA) levels suggests that ADA concentration may predict disease activity in RA patients [52]. Our data, for the first time, show an inverse correlation between disease activity measured by DAS28 or DAS and A2A or A3AR density confirming a relationship between the inflammation and adenosine in RA.

Conclusions

This paper suggests a correlation of A2A and A3AR with the inflammatory and clinical responses in RA and that their up-regulation could represent a compensatory mechanism to better counteract the inflammatory status. In particular, the highest levels of A2A and A3AR density are closely associated with the lowest levels of DAS28 and DAS, suggesting that the endogenous activation of these receptors attenuates the disease activity. From the pharmacological point of view, it could be of crucial importance that the stimulation of the over-expressed A2A and A3 ARs leads to the inhibition of cellular pro-inflammatory and degenerative mediators.

The novel findings of this study are represented by a high inverse correlation between A2A or A3AR density and the DAS28 or DAS validated index of disease activity in RA. Moreover, our results suggest the use of A2A and/or A3AR agonists as novel potential pharmacological treatment combined with the classical therapy in human diseases characterized by a marked inflammatory component as in RA.

Abbreviations

ACR:

American College of Rheumatology

ADA:

adenosine deaminase

ANOVA:

analysis of variance

anti-CCP:

anti-cyclic citrullinated peptide

ARs:

adenosine receptors

CGS 21680:

4-(2-((6-Amino-9-(N-ethyl-β-D-ribofuran uronamidosyl)-9H-purin-2-yl)amino)ethyl)benzene propanoic

Cl-IB-MECA:

N6-(3-iodo-benzyl)-2-chloro-adenosine-5'-N-methyluronamide

DAS:

disease activity score

DMARDs:

disease modifying anti-rheumatic drugs

DPCPX:

1,3-dipropyl-8-cyclopentyl-xanthine

ELISA:

enzyme linked immunosorbent assay

ERA:

early rheumatoid arthritis

HAQ:

Health Assessment Questionnaire

HRP:

horseradish peroxidase

IL-1β:

interleukin-1β

IL-6:

interleukin-6

MMP-1:

matrix metalloproteinase-1

MMP-3:

metalloproteinase-3

MRE 2029F20:

N-benzo(1,3)dioxol-5-yl-2-(5-(2,6-dioxo-1,3-dipropyl-2,3,6,7-tetrahydro-1H-purin-8-yl)-1-methy-1H-pyrazol-3-yl-oxy)-acetamide

MRE 3008F20:

5N-(4-methoxyphenylcarbamoyl)amino-8-propyl-2-(2-furyl)pirazolo (4,3-e)-1,2,4-triazolo(1,5-c)pyrimidine

MRS 1334:

1,4-Dihydro-2-methyl-6-phenyl-4-(phenylethynyl)-3,5-pyridinedicarboxylic acid 3-ethyl-5-((3-nitrophenyl)methyl) ester

NF-kB:

nuclear factor kB

PMA:

phorbol myristate acetate

RA:

rheumatoid arthritis

RF:

rheumatoid factor

RT-PCR:

real time quantitative polymerase chain reaction

SCH 442416:

2-(2-Furanyl)-7-(3-(4-methoxyphenyl)propyl)-7H-pyrazolo(4,3-e)(1,2,4)triazolo(1,5-c)pyrimidin-5-amine

SEM:

standard error of the mean

TNF-α:

tumor necrosis factor-α

ZM 241385:

4-(2-(7-amino-2-(2-furyl)(1,2,4)-triazolo(2,3-a)(1,3,5)triazin-5-ylamino) ethyl) phenol

References

  1. Weissmann G: The pathogenesis of rheumatoid arthritis. Bull NYU Hosp Jt Dis. 2006, 64: 12-15.

    PubMed  Google Scholar 

  2. Joseph A, Brasington R, Kahl L, Ranganathan P, Cheng TP, Atkinson J: Immunologic rheumatic disorders. J Allergy Clin Immunol. 2010, 125: 204-215. 10.1016/j.jaci.2009.10.067.

    Article  Google Scholar 

  3. Belavic JM: Annual Drug Update 2010 in review. Nurse Pract. 2011, 36: 10-22.

    Article  PubMed  Google Scholar 

  4. Ishaq M, Muhammad JS, Hameed K, Mirza AI: Leflunomide or methotrexate? Comparison of clinical efficacy and safety in low socio-economic rheumatoid arthritis patients. Mod Rheumatol. 2011, 21: 375-380. 10.1007/s10165-010-0405-4.

    Article  CAS  PubMed  Google Scholar 

  5. Furst DE, Keystone EC, Fleischmann R, Breedveld FC, Burmester GR, De Benedetti F, Dörner T, Emery P, Fleischmann R, Gibofsky A, Kalden JR, Kavanaugh A, Kirkham B, Mease P, Sieper J, Singer NG, Smolen JS, Van Riel PL, Weisman MH, Winthrop K: Updated consensus statement on biological agents for the treatment of rheumatic diseases. Ann Rheum Dis. 2010, 69: 2-29.

    Article  Google Scholar 

  6. Soubrier M, Lukas C, Sibilia J, Fautrel B, Roux F, Gossec L, Patternotte S, Dougados M: Disease activity score-driven therapy versus routine care in patients with recent-onset active rheumatoid arthritis: data from the GUEPARD trial and ESPOIR cohort. Ann Rheum Dis. 2011, 70: 611-615. 10.1136/ard.2010.137695.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  7. Prevoo ML, van't Hof MA, Kuper HH, van Leeuwen MA, van de Putte LB, van Riel PL: Modified disease activity scores that include twenty eight-joint counts. Development and validation in a prospective longitudinal study of patients with rheumatoid arthritis. Arthritis Rheum. 1995, 38: 44-48. 10.1002/art.1780380107.

    Article  CAS  PubMed  Google Scholar 

  8. Aletaha D, Smolen JS: Remission of rheumatoid arthritis: should we care about definitions?. Clin Exp Rheumatol. 2006, 24: 45-51.

    Google Scholar 

  9. Goldring MB: Updates on high throughput molecular profiling for the study of rheumatoid arthritis. J Cell Physiol. 2007, 213: 626-634. 10.1002/jcp.21258.

    Article  CAS  PubMed  Google Scholar 

  10. Aletaha D, Funovits J, Smolen JS: The importance of reporting disease activity states in rheumatoid arthritis clinical trials. Arthritis Rheum. 2008, 58: 2622-2631. 10.1002/art.23733.

    Article  PubMed  Google Scholar 

  11. Kokkonen H, Söderström I, Rocklöv J, Hallmans G, Lejon K, Rantapää Dahlqvist S: Up-regulation of cytokines and chemokines predates the onset of rheumatoid arthritis. Arthritis Rheum. 2010, 62: 383-391.

    CAS  PubMed  Google Scholar 

  12. Le Goff B, Blanchard F, Berthelot JM, Heymann D, Maugars Y: Role for interleukin-6 in structural joint damage and systemic bone loss in rheumatoid arthritis. Joint Bone Spine. 2010, 77: 201-205. 10.1016/j.jbspin.2010.03.002.

    Article  CAS  PubMed  Google Scholar 

  13. Yoshihara Y, Nakamura H, Obata K, Yamada H, Hayakawa T, Fujikawa K, Okada Y: Matrix metalloproteinases and tissue inhibitors of metalloproteinases in synovial fluids from patients with rheumatoid arthritis or osteoarthritis. Ann Rheum Dis. 2000, 59: 455-461. 10.1136/ard.59.6.455.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  14. Tolboom TC, Pieterman E, van der Laan WH, Toes RE, Huidekoper AL, Nelissen RG, Breedveld FC, Huizinga TW: Invasive properties of fibroblast-like synoviocytes: correlation with growth characteristics and expression of MMP-1, MMP-3, and MMP-10. Ann Rheum Dis. 2002, 61: 975-980. 10.1136/ard.61.11.975.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  15. Noh EM, Youn HJ, Jung SH, Han JH, Jeong YJ, Chung EY, Jung JY, Kim BS, Lee SH, Lee YR, Kim JS: Cordycepin inhibits TPA-induced matrix metalloproteinase-9 expression by suppressing the MAPK/AP-1 pathway in MCF-7 human breast cancer cells. Int J Mol Med. 2010, 25: 255-260.

    CAS  PubMed  Google Scholar 

  16. Haskò G, Linden J, Cronstein B, Pacher P: Adenosine receptors: therapeutic aspects for inflammatory and immune diseases. Nat Rev Drug Discov. 2008, 7: 759-770. 10.1038/nrd2638.

    Article  PubMed Central  PubMed  Google Scholar 

  17. Cronstein B: How does methotrexate suppress inflammation?. Clin Exp Rheumatol. 2010, 28: 21-23.

    Google Scholar 

  18. Ernst PB, Garrison JC, Thompson LF: Much ado about adenosine: adenosine synthesis and function in regulatory T cell biology. J Immunol. 2010, 185: 1993-1998. 10.4049/jimmunol.1000108.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  19. Feoktistov I, Biaggioni I, Cronstein BN: Adenosine receptors in wound healing, fibrosis and angiogenesis. Handb Exp Pharmacol. 2009, 193: 383-397. 10.1007/978-3-540-89615-9_13.

    Article  CAS  PubMed  Google Scholar 

  20. Haskó G, Cronstein B: Methylxanthines and inflammatory cells. Handb Exp Pharmacol. 2011, 200: 457-468. 10.1007/978-3-642-13443-2_18.

    Article  PubMed  Google Scholar 

  21. Fishman P, Bar-Yehuda S, Synowitz M, Powell JD, Klotz KN, Gessi S, Borea PA: Adenosine receptors and cancer. Handb Exp Pharmacol. 2009, 193: 399-441. 10.1007/978-3-540-89615-9_14.

    Article  CAS  PubMed  Google Scholar 

  22. Varani K, Vincenzi F, Tosi A, Gessi S, Casetta I, Granieri G, Fazio P, Leung E, MacLennan S, Granieri E, Borea PA: A2A adenosine receptor overexpression and functionality, as well as TNF-α, correlate with motor symptoms in Parkinson's disease. FASEB J. 2010, 24: 587-598. 10.1096/fj.09-141044.

    Article  CAS  PubMed  Google Scholar 

  23. Varani K, Gessi S, Merighi S, Vincenzi F, Cattabriga E, Benini A, Klotz KN, Baraldi PG, Tabrizi MA, Lennan SM, Leung E, Borea PA: Pharmacological characterization of novel adenosine ligands in recombinant and native human A2B receptors. Biochem Pharm. 2005, 70: 1601-1612. 10.1016/j.bcp.2005.08.018.

    Article  CAS  PubMed  Google Scholar 

  24. Gessi S, Merighi S, Sacchetto V, Simioni C, Borea PA: Adenosine receptors and cancer. Biochim Biophys Acta. 2011, 1808: 1400-1412. 10.1016/j.bbamem.2010.09.020.

    Article  CAS  PubMed  Google Scholar 

  25. Forrest CM, Harman G, McMillan RB, Stoy N, Stone TW, Darlington LG: Modulation of cytokine release by purine receptors in patients with rheumatoid arthritis. Clin Exp Rheumatol. 2005, 23: 89-92.

    CAS  PubMed  Google Scholar 

  26. Varani K, Padovan M, Govoni M, Vincenzi F, Trotta F, Borea PA: The role of adenosine receptors in rheumatoid arthritis. Autoimmun Rev. 2010, 10: 61-64. 10.1016/j.autrev.2010.07.019.

    Article  CAS  PubMed  Google Scholar 

  27. Ochaion A, Bar-Yehuda S, Cohen S, Barer F, Patoka R, Amital H, Reitblat T, Reitblat A, Ophir J, Konfino I, Chowers Y, Ben-Horin S, Fishman P: The anti-inflammatory target A3 adenosine receptor is over-expressed in rheumatoid arthritis, psoriasis and Crohn's disease. Cell Immunol. 2009, 258: 115-122. 10.1016/j.cellimm.2009.03.020.

    Article  CAS  PubMed  Google Scholar 

  28. Borea PA, Gessi S, Bar-Yehuda S, Fishman P: A3 adenosine receptor: pharmacology and role in disease. Handb Exp Pharmacol. 2009, 193: 297-327. 10.1007/978-3-540-89615-9_10.

    Article  CAS  PubMed  Google Scholar 

  29. Silverman MH, Strand V, Markovits D, Nahir M, Reitblat T, Molad Y, Rosner I, Rozenbaum M, Mader R, Adawi M, Caspi D, Tishler M, Langevitz P, Rubinow A, Friedman J, Green L, Tanay A, Ochaion A, Cohen S, Kerns WD, Cohn I, Fishman-Furman S, Farbstein M, Yehuda SB, Fishman P: Clinical evidence for utilization of the A3 adenosine receptor as a target to treat rheumatoid arthritis: data from a phase II clinical trial. J Rheumatol. 2008, 35: 41-48.

    CAS  PubMed  Google Scholar 

  30. Varani K, Massara A, Vincenzi F, Tosi A, Padovan M, Trotta F, Borea PA: Normalization of A2A and A3 adenosine receptor up-regulation in rheumatoid arthritis patients by treatment with anti-tumor necrosis factor α but not methotrexate. Arthritis Rheum. 2009, 60: 2880-2891. 10.1002/art.24794.

    Article  CAS  PubMed  Google Scholar 

  31. Arnett FC, Edworthy SM, Bloch DA, McShane DJ, Fries JF, Cooper NS, Healey LA, Kaplan SR, Liang MH, Luthra HS, Medsger TA, Mitchell DM, Neustadt DH, Pinals RS, Shaller JG, Sharp JT, Wilder RL, Hunder GG: The American Rheumatism Association 1987 revised criteria for the classification of rheumatoid arthritis. Arthritis Rheum. 1988, 31: 315-324. 10.1002/art.1780310302.

    Article  CAS  PubMed  Google Scholar 

  32. Pincus T, Summery JA, Soraci SA, Wallston KA, Hummon NP: Assessment of patient satisfaction of patient satisfaction in activities of daily living using a modified Stanford Health Assessment Questionnaire. Arthritis Rheum. 1983, 26: 1346-1353. 10.1002/art.1780261107.

    Article  CAS  PubMed  Google Scholar 

  33. Prevoo ML, van't Hof MA, Kuper HH, van Leeuwen MA, van de Putte LB, van Riel PL: Modified disease activity scores that include twenty-eight-joint counts: development and validation in a prospective longitudinal study of patients with rheumatoid arthritis. Arthritis Rheum. 1995, 38: 44-48. 10.1002/art.1780380107.

    Article  CAS  PubMed  Google Scholar 

  34. Laganà B, Picchianti Diamanti A, Ferlito C, Germano V, Migliore A, Cremona A, Argento G, David V, Salemi S, D'Amelio R: Imaging progression despite clinical remission in early rheumatoid arthritis patients after etanercept interruption. Int J Immunopathol Pharmacol. 2009, 22: 447-454.

    PubMed  Google Scholar 

  35. Goecke IA, Alvarez C, Henríquez J, Salas K, Molina ML, Ferreira A, Gatica H: Methotrexate regulates the expression of glucocorticoid receptor alpha and beta isoforms in normal human peripheral mononuclear cells and human lymphocyte cell lines in vitro. Mol Immunol. 2007, 44: 2115-2123. 10.1016/j.molimm.2006.07.303.

    Article  CAS  PubMed  Google Scholar 

  36. Corr M, Boyle DL, Ronacher LM, Lew BR, van Baarsen LG, Tak PP, Firestein GS: Interleukin 1 receptor antagonist mediates the beneficial effects of systemic interferon beta in mice: implications for rheumatoid arthritis. Ann Rheum Dis. 2011, 70: 858-863. 10.1136/ard.2010.141077.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  37. Rego-Pérez I, Fernández-Moreno M, Deberg M, Pértega S, Fernández-López C, Oreiro N, Henrotin Y, Blanco FJ: Mitochondrial DNA haplogroups and serum levels of proteolytic enzymes in patients with osteoarthritis. Ann Rheum Dis. 2010, 70: 646-652.

    Article  PubMed  Google Scholar 

  38. Khoa ND, Montesinos MC, Reiss AB, Delano D, Awadallah N, Cronstein BN: Inflammatory cytokines regulate function and expression of adenosine A(2A) receptors in human monocytic THP-1 cells. J Immunol. 2001, 167: 4026-4032.

    Article  CAS  PubMed  Google Scholar 

  39. Nguyen DK, Montesinos MC, Williams AJ, Kelly M, Cronstein BN: Th1 cytokines regulate adenosine receptors and their downstream signaling elements in human microvascular endothelial cells. J Immunol. 2003, 171: 3991-3998.

    Article  PubMed  Google Scholar 

  40. Khoa ND, Postow M, Danielsson J, Cronstein BN: Tumor necrosis factor-alpha prevents desensitization of Galphas-coupled receptors by regulating GRK2 association with the plasma membrane. Mol Pharmacol. 2006, 69: 1311-1319. 10.1124/mol.105.016857.

    Article  CAS  PubMed  Google Scholar 

  41. Madi L, Cohen S, Ochayon A, Bar-Yehuda S, Barer F, Fishman P: Overexpression of A3 adenosine receptor in peripheral blood mononuclear cells in rheumatoid arthritis: involvement of nuclear factor-κB in mediating receptor level. J Rheumatol. 2007, 34: 20-26.

    CAS  PubMed  Google Scholar 

  42. Lee YR, Kweon SH, Kwon KB, Park JW, Yoon TR, Park BH: Inhibition of IL-1beta-mediated inflammatory responses by the IkappaB alpha super-repressor in human fibroblast-like synoviocytes. Biochem Biophys Res Commun. 2009, 378: 90-94. 10.1016/j.bbrc.2008.11.002.

    Article  CAS  PubMed  Google Scholar 

  43. Zayed N, Afif H, Chabane N, Mfuna-Endam L, Benderdour M, Martel-Pelletier J, Pelletier JP, Motiani RK, Trebak M, Duval N, Fahmi H: Inhibition of interleukin-1beta-induced matrix metalloproteinases 1 and 13 production in human osteoarthritic chondrocytes by prostaglandin D2. Arthritis Rheum. 2008, 58: 3530-3540. 10.1002/art.23958.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  44. Ishikawa T, Nishigaki F, Miyata S, Hirayama Y, Minoura K, Imanishi J, Neya M, Mizutani T, Imamura Y, Naritomi Y, Murai H, Ohkubo Y, Kagayama A, Mutoh S: Prevention of progressive joint destruction in collagen-induced arthritis in rats by a novel matrix metalloproteinase inhibitor, FR255031. Br J Pharmacol. 2005, 144: 133-143.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  45. Haskó G, Linden J, Cronstein B, Pacher P: Adenosine receptors: therapeutic aspects for inflammatory and immune diseases. Nat Rev Drug Discov. 2008, 7: 759-770. 10.1038/nrd2638.

    Article  PubMed Central  PubMed  Google Scholar 

  46. Csòka B, Haskò G: Adenosine, inflammation pathways and therapeutic challenges. Joint Bone Spine. 2011, 78: 4-6. 10.1016/j.jbspin.2010.08.010.

    Article  PubMed  Google Scholar 

  47. Joosten LA, Netea MG, Kim SH, Yoon DY, Oppers-Walgreen B, Radstake TR, Barrera P, van de Loo FA, Dinarello CA, van den Berg WB: IL-32, a proinflammatory cytokine in rheumatoid arthritis. Proc Natl Acad Sci USA. 2006, 103: 3298-3303. 10.1073/pnas.0511233103.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  48. Kim YG, Lee CK, Kim SH, Cho WS, Mun SH, Yoo B: Interleukin-32gamma enhances the production of IL-6 and IL-8 in fibroblast-like synoviocytes via Erk1/2 activation. J Clin Immunol. 2010, 30: 260-267. 10.1007/s10875-009-9360-2.

    Article  CAS  PubMed  Google Scholar 

  49. Andreas K, Lübke C, Häupl T, Dehne T, Morawietz L, Ringe J, Kaps C, Sittinger M: Key regulatory molecules of cartilage destruction in rheumatoid arthritis: an in vitro study. Arthritis Res Ther. 2008, 10: R9-10.1186/ar2358.

    Article  PubMed Central  PubMed  Google Scholar 

  50. Boyle DL, Han Z, Rutter JL, Brinckerhoff CE, Firestein GS: Posttranscriptional regulation of collagenase-1 gene expression in synoviocytes by adenosine receptor stimulation. Arthritis Rheum. 1997, 40: 1772-1779. 10.1002/art.1780401008.

    Article  CAS  PubMed  Google Scholar 

  51. Smolen JS, Aletaha D, Bijlsma JWJ, Breedveld FC, Boumpas D, Burmester G, Combe B, Cutolo M, de Wit M, Dougados M, Emery P, Gibofsky A, Gomez-Reino JJ, Haraoui B, Kalden J, Keystone EC, Kvien TK, McInnes I, Martin-Mola E, Montecucco C, Schoels M, van der Heijde D, T2T Expert Committee: Treating rheumatoid arthritis to target: recommendations of an international task force. Ann Rheum Dis. 2010, 69: 631-637. 10.1136/ard.2009.123919.

    Article  PubMed Central  PubMed  Google Scholar 

  52. Zamani B, Jamali R, Jamali A: Serum adenosine deaminase may predict disease activity in rheumatoid arthritis. Rheumatol Int. 2011.

    Google Scholar 

Download references

Acknowledgements

This work was supported by grants from the Fondo Regione Emilia Romagna (PG 08 23943/2008/P18A4).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pier Andrea Borea.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

All authors were involved in drafting the article or revising it critically for important intellectual content, and all authors approved the final version to be published. PAB had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. KV, MG and PAB participated to the study conception and design. KV, FV, MT and MP were responsible for the acquisition of data. The analysis and interpretation of data were performed by KV, MG, FT and PAB. All authors read and approved the final manuscript.

Authors’ original submitted files for images

Rights and permissions

Reprints and permissions

About this article

Cite this article

Varani, K., Padovan, M., Vincenzi, F. et al. A2A and A3 adenosine receptor expression in rheumatoid arthritis: upregulation, inverse correlation with disease activity score and suppression of inflammatory cytokine and metalloproteinase release. Arthritis Res Ther 13, R197 (2011). https://doi.org/10.1186/ar3527

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/ar3527

Keywords