Acute murine antigen-induced arthritis is not affected by disruption of osteoblastic glucocorticoid signalling
© Spies et al.; licensee BioMed Central Ltd. 2014
Received: 31 December 2013
Accepted: 29 January 2014
Published: 3 February 2014
The role of endogenous glucocorticoids (GC) in the initiation and maintenance of rheumatoid arthritis (RA) remains unclear. We demonstrated previously that disruption of GC signalling in osteoblasts results in a profound attenuation of K/BxN serum-induced arthritis, a mouse model of RA. To determine whether or not the modulation of the inflammatory response by osteoblasts involves T cells, we studied the effects of disrupted osteoblastic GC-signalling in the T cell-dependent model of antigen-induced arthritis (AIA).
Acute arthritis was induced in pre-immunised 11-week-old male 11β-hydroxysteroid dehydrogenase type 2 transgenic (tg) mice and their wild-type (WT) littermates by intra-articular injection of methylated bovine serum albumine (mBSA) into one knee joint. Knee diameter was measured every 1–2 days until euthanasia on day 14 post injection. In a separate experiment, arthritis was maintained for 28 days by weekly reinjections of mBSA. Tissues were analysed by histology, histomorphometry and microfocal-computed tomography. Serum cytokines levels were determined by multiplex suspension array.
In both short and long term experiments, arthritis developed in tg and WT mice with no significant difference between both groups. Histological indices of inflammation, cartilage damage and bone erosion were similar in tg and WT mice. Bone volume and turnover at the contralateral tibia and systemic cytokine levels were not different.
Acute murine AIA is not affected by a disruption in osteoblastic GC signalling. These data indicate that osteoblasts do not modulate the T cell-mediated inflammatory response via a GC-dependent pathway.
Keywords11-beta-hydroxysteroid dehydrogenase type 2 Disease models Animal Arthritis Glucocorticoids Osteoblasts
It is unknown whether and how endogenous glucocorticoids (GC) contribute to the initiation and maintenance of rheumatoid arthritis (RA) and other inflammatory diseases [1–7]. We previously studied the role of endogenous GC in the K/BxN serum-induced arthritis mouse model of RA . This model is T cell-independent as arthritis is elicited by antibodies even if the recipients are devoid of lymphocytes [9, 10]. Immune complexes of arthritogenic anti-glucose-6-phosphate isomerase autoantibodies attract and activate neutrophils and macrophages at the cartilage surface through Fc receptor binding (particularly FcγRIII) and activation of complement factors from the initial part of the alternative complement pathway [11–15]. This induces the release of pro-inflammatory cytokines including interleukin (IL)-1 and tumour necrosis factor-α .
We have recently demonstrated that inactivation of endogenous glucocorticoids in osteoblasts by overexpression of the GC-inactivating enzyme, 11β-hydroxysteroid dehydrogenase type 2 (11β-HSD2), results in attenuation of K/BxN serum-induced arthritis . These findings indicated an immunostimulatory role of endogenous glucocorticoids and suggested that osteoblasts modulate the immune-mediated inflammatory response via a GC-dependent pathway. While K/BxN serum-induced arthritis is principally a T cell-independent model of rheumatoid arthritis, osteoblasts and osteoblastic GC-signalling may or may not modulate the T cell-mediated inflammatory response in other models of arthritis. For example, the crosstalk between T cells and osteoblasts is known to be important in intermittent parathyroid hormone induced bone formation, involving Wnt signalling by Wnt10b , which we have previously shown to be GC-dependent in osteoblasts during development . Osteoblasts interact with T cells also by the production of cytokines such as IL-6 , and IL-6 expression in osteoblasts is likely to be GC-regulated .
In order to test whether or not the modulation of the inflammatory response by osteoblasts involves T cells, we studied the effects of disrupted osteoblastic GC-signalling in the T cell-dependent model of antigen-induced arthritis (AIA) [21, 22]. In this model, an adaptive immune response is initiated by immunisation against the non-self antigen methylated bovine serum albumine (mBSA). Local re-injection into the knee joint induces a mainly CD4+ T cell-mediated arthritis [21, 22].
Transgenic mouse model
Disruption of GC signalling in mature osteoblasts and osteocytes was achieved through transgenic overexpression of the GC-inactivating enzyme, 11β-hydroxysteroid dehydrogenase type 2 (11β-HSD2), under the control of the osteoblast-specific 2.3-kb collagen type Iα1 promotor (Col2.3-11β-HSD2-transgenic mice). Animals were generated  and characterised as described previously [18, 23–25], and generously provided by Dr Barbara Kream, University of Connecticut, USA). Mice were maintained at the animal facilities of the ANZAC Research Institute, in accordance with Institutional Animal Welfare Guidelines and according to an approved protocol. An ethics approval for the use of animals was obtained from the Sydney Local Health District Animal Welfare Committee.
Initiation and clinical assessment of antigen-induced arthritis
Antigen-induced arthritis (AIA) in mice was induced following established protocols [26, 27]. Eight-week-old male Col2.3-11β-HSD2 transgenic (tg) mice and their wild-type (WT) littermates were immunised by subcutaneous injection of 100 μg methylated bovine serum albumin (mBSA) (on day −21) (Sigma, Castle Hill, Australia), dissolved in 50 μl of phosphate-buffered saline (PBS) and emulsified in 50 μl of Freund’s complete adjuvant (CFA) (Sigma), into both flanks (50 μg each). A second injection of the same dose was given 7 days later (on day −14) by subcutaneous injection into the tail base. For control purposes, both groups – arthritic and control animals – were immunised. Mice were randomised to the respective groups matched for body weight and litter.
Induction of acute AIA
AIA was induced by intra-articular injection on day 0 in Col2.3-11β-HSD2 tg mice (n = 17) and their WT littermates (n = 17). Mice were anaesthetised with isoflurane (inhalation anaesthetic), and a total of 10 μg mBSA in 5 μl sterile PBS was injected intra-articularly through the patellar ligament into the right knee joint with a Hamilton syringe and a 251/2 gauge needle. Concurrently, tg (n = 14) and WT mice (n = 15) receiving 5 μl of sterile PBS by intra-articular injection, served as controls (CTR). Body weight and knee joint swelling were assessed every 1–2 days from the time of induction (day 0) up to day 14. Knee joint diameter was measured using a Vernier caliper. The maximum medial-to-lateral diameter was defined at the widest point of each knee joint. Knee joint swelling was calculated as the absolute difference to the knee joint diameter measured at baseline before arthritis induction. Mice were euthanised on day 14 for tissue and blood collection. Tissue of n = 5 mice of each group was preserved for future RNA analysis. Histological, microfocal-computed tomography (micro-CT), histomorphometric and serum cytokine analyses were performed in the remaining tg and WT arthritic and control mice, respectively.
Induction of prolonged arthritis
Prolonged antigen-induced arthritis was induced in order to study longer-term effects of AIA on arthritis and bone. Since we wished to keep mechanical damage, potentially induced by repeated intra-articular injections, to a minimum, we induced flare-ups by intravenous re-injections of mBSA, as has been described before [26, 28]. Following induction of acute AIA in Col2.3-11β-HSD2 tg mice and their WT littermates, arthritic mice received repeated intravenous injections of 300 μg mBSA (in 200 μl PBS) on days 7, 14 and 21 [26, 28]. Tg and WT control mice received 200 μl sterile PBS intravenously (n = 10 per arthritic group, n = 9 per control group) at the same time points. Body weight and knee joint swelling were assessed as described above. Mice were sacrificed on day 28. During the flare-up experiment, 8 mice were excluded [5 anaphylactic reactions (all in mBSA-injected mice), 3 mechanical damages (2 in arthritic mice, 1 in control)]. The relatively high frequency of anaphylactic reactions was unexpected [26, 28]. The remaining arthritic tg (n = 6) and WT mice (n = 7), and control tg (n = 9) and WT (n = 8) mice were assessed for histological, micro-CT, histomorphometric and serum cytokine analyses.
Tissue collection and specimen preparation
Blood for serum analyses was collected by cardiac puncture. Right and left knee joints (including tibia and distal femur) of each mouse were dissected and fixed for 48 hours in 4% paraformaldehyde/PBS. After micro-CT analyses, the knees and tibiae were decalcified in 10% ethylenediaminetetraacetic acid (EDTA) and embedded in paraffin. Serial 4-μm sections were stained with haematoxylin and eosin (H&E) for general histological evaluation and with toluidine blue for assessment of cartilage degradation and proteoglycan loss . To identify osteoclasts, sections were stained for tartrate-resistant acid phosphatase (TRAP) using naphthol-AS-MX phosphate (Sigma) as a substrate and fast red violet LB salt (Sigma) as a detection agent for the reaction product .
Sections of knee joints were stained with H&E or toluidine blue or TRAP, and scored by 3 independent and blinded investigators (EW, CS, JT) for synovitis, soft tissue inflammation, joint space exudate, cartilage degradation/proteoglycan loss, and bone erosion, according to an established semi-quantitative scoring system .
Left tibiae analysis was performed using a SkyScan 1172 scanner (SkyScan, Kontich, Belgium). Scanning was done at 100 kV and 100 μA, using a 1-mm aluminium filter with the exposure set to 590 msec. In total, 1,800 projections were collected at a resolution of 6.93 μm/pixel. Reconstruction of sections was done using a modified Feldkamp cone-beam algorithm, with the beam hardening correction set to 50%. To quantify the trabecular morphometry of the proximal tibia, CTAnalyser software version 1.02 (Sky-Scan) was used. The greyscale index was set from 75 to 255 per cent. 3D-methods were used in the calculation algorithms. The volume of interest was selected within the endosteal borders, 1–2.3 mm below the growth plate . Slide thickness was 7 μm.
Bone histomorphometry of the left proximal tibial metaphysis was conducted in single measurements on 4-μm sections stained with TRAP or H&E, using OsteomeasureXP v.220.127.116.11 (OsteoMetrics, Inc., Decatur, GA, USA). The region of interest was a 1.5 x 1-mm area of cancellous bone located 0.3 mm below the growth plate of the tibia . Osteoclast number and osteoclast surface relative to bone surface were measured (400x magnification). Osteoblasts were identified by morphology (400× magnification).
Measurement of serum cytokines
Serum levels of tumour necrosis factor α (TNF-α), interferon-γ (IFN-γ), murine interleukin-1α (IL-1α), IL-1β, IL-2, IL-3, IL-4, IL-5, IL-6, IL-9, IL-10, IL-12(p40), IL-12(p70), IL-13, IL-15, IL-17A, IL-18, monocyte chemotactic protein-1 (MCP-1), macrophage inflammatory proteins 1α (MIP-1α), 1β (MIP-1β) and 2 (MIP-2), regulated upon activation normal T cell expressed and secreted (RANTES), keratinocyte-derived cytokine (KC), monokine-induced by interferon-gamma (MIG), eotaxin, leukaemia inhibitory factor (LIF), basic fibroblast growth factor (basic-FGF), platelet-derived growth factor homodimer (PDGF-BB), vascular endothelial growth factor (VEGF), granulocyte colony-stimulating factor (G-CSF), granulocyte macrophage colony-stimulating factor (GM-CSF), and macrophage colony-stimulating factor (M-CSF) were all determined using the cytometric bead array technique . Premixed cytokine assays (Bio-Rad, Munich, Germany) were used according to the manufacturer’s instructions. Data acquisition was conducted using the Bio-Plex suspension system (Bio-Rad). Each sample was read in duplicate and measured against the mean of two dilution rows. For analysis, values below the detection limit were substituted with the value of 50% of the detection limit.
For comparisons of normally distributed data between 2 experimental groups, the t-test was used. Unless otherwise stated, values are the mean and standard deviation (SD) or standard error of the mean (SEM). Non-normally distributed data were compared between two groups using the Mann–Whitney test. In the case of planned multiple comparisons for the same parameter multiple two-group comparisons were conducted only if the Kruskal-Wallis test over all 4 groups was significant. Here the Bonferroni correction was used to adjust the significance level to α* = 0.0125 for 4 parallel tests (WT-CTR versus tg-CTR, WT-AIA versus tg-AIA, WT-CTR versus WT-AIA, tg-CTR versus tg-AIA). The clinical results as obtained over the 14-day or 28-day experimental course were modelled by a generalised linear model with repeated-measures analysis. The P AIA values given are for the interaction day × group of within-subjects effects from the repeated-measures analysis, indicating differences in the time course of transgenic and WT arthritic mice. IBM SPSS Statistics version 19 (IBM, Armonk, NY, USA) was used for statistical analysis. P values of less than 0.05 were considered significant.
On day 0, prior to the intervention, body weights of WT and tg littermates were similar (mean ± SD 37.6 ± 3.6 g vs. 36.9 ± 3.1 g; P = 0.454). From day 0 on, body weight gain over 14 days was similar in arthritic and control mice [P = 0.077] as well as in arthritic WT compared with arthritic tg mice [P AIA = 0.908].
Knee joint swelling
Histopathological assessment of arthritis
Histomorphometry was performed at the contralateral (left) proximal tibiae of mice. Mean osteoclast surface per bone surface and mean osteoclast number per bone surface as well as mean osteoblast surface per bone surface were not significantly different in arthritic versus non-arthritic mice, nor was there any difference seen between tg and WT mice (Figure 3B). This indicates that short-term, monarticular inflammation has little or no effect on systemic bone turnover.
Serum levels of cytokines
Serum cytokine levels in control mice and arthritic AIA mice
Control mice, day 14
AIA mice, day 14
Wild-type (n = 15)
Transgenic (n = 14)
Wild-type (n = 17)
Transgenic (n = 17)
IL-12 (p40) (pg/ml)
IL-12 (p70) (pg/ml)
Control mice, day 28
AIA mice, day 28
Wild-type (n = 8)
Transgenic (n = 9)
Wild-type (n = 7)
Transgenic (n = 6)
IL-12 (p40) (pg/ml)
IL-12 (p70) (pg/ml)
86 (8–105) §, #
254 (66–1374) §
Since in acute AIA, arthritis tended to resolve from day 2 p.i. onwards, we further tested our hypothesis in a model of prolonged antigen exposure, where inflammation was maintained for up to 28 days through weekly injections of mBSA. Body weight at baseline was significantly higher in WT (mean ± SD: 38.6 ± 3.4 g) compared to tg mice (36.1 ± 1.4 g; P = 0.016). After each flare-up reaction, a minor weight loss (<10%) was observed in both arthritic and control mice [P = 0.314]. The degree of weight loss was similar in arthritic WT and tg mice [P AIA = 0.553].
Knee joint swelling
Knee diameter prior to induction of arthritis (day 0) was not different between WT and tg mice (mean ± SD 3.88 ± 0.07 mm and 3.85 ± 0.08 mm, respectively; P = 0.203). As observed in acute AIA, acute arthritis with significant knee joint swelling in comparison to controls developed in both WT and tg mice in response to the initial injection of mBSA [P < 0.001]. Maximum knee joint swelling was observed on day 1 post injection. Further flare-up reactions were observed on days 8, 15 and 22. However, there was no statistically significant difference in knee joint swelling between arthritic WT and tg mice over the observation period of 28 days [P AIA = 0.456] (Figure 1B).
Histopathological assessment of inflamed joints
In micro-CT analysis of the contralateral tibia we found no statistically significant differences between arthritic and control mice regardless of the genotypes in terms of BV/TV (WT CTR 10.1 ± 2.0%; WT AIA 10.6 ± 1.6%; tg CTR 9.3 ± 3.1%; tg AIA 8.7 ± 2.8%), trabecular number (WT CTR 1.649 ± 0.405/mm; WT AIA 1.861 ± 0.287/mm; tg CTR 1.554 ± 0.490/mm; tg AIA 1.345 ± 0.435/mm) and trabecular separation (WT CTR 342.6 ± 123.7 μm; WT AIA 261.5 ± 28.8 μm; tg CTR 337.1 ± 85.8 μm; tg AIA 392.8 ± 125.6 μm) after repeated flare-up reactions, except for a higher trabecular thickness in tg than in WT AIA mice (tg AIA 64.5 ± 4.5 μm vs. WT AIA 57.0 ± 4.1 μm, p = 0.005; WT CTR 62.2 ± 5.8 μm; tg CTR 59.8 ± 3.1 μm).
Histomorphometric analysis of the contralateral tibia demonstrated no statistically significant differences in terms of osteoclast number per bone surface (WT CTR 4.8 ± 1.6/mm; WT AIA 7.7 ± 2.6/mm; tg CTR 7.2 ± 1.7/mm; tg AIA 6.0 ± 2.1/mm) and osteoblast surface per bone surface (WT CTR 14.4 ± 3.6%; WT AIA 14.5 ± 5.0%; tg CTR 16.8 ± 3.6%; tg AIA 17.1 ± 5.7%) after repeated flare-up reactions, except for a higher mean osteoclast surface per bone surface in tg control mice than in WT control mice (tg CTR 9.4 ± 2.6% vs. WT CTR 5.8 ± 1.7%, p = 0.009; WT AIA 9.6 ± 3.9%; tg AIA 7.2 ± 2.4%).
Serum levels of cytokines
There was a statistically significant difference between AIA WT and tg mice for IL-12 (p70) on day 28 (Table 1). However, a statistically significant arthritis effect was detectable for IL-12 and IL-13 levels between tg AIA and control mice only, whereas in WT mice there was no difference between arthritic and non-arthritic mice. There were no significant differences in TNF-α, IL-1β, IL-9, IL-10, IL-12 (p40), IL-15, IL-18, MIP-1α, MIP-1β, RANTES, KC, MIG, Eotaxin, basic-FGF, PDGF-BB, VEGF or M-CSF levels between WT and tg mice, or between AIA and control mice. Serum concentrations of IFN-γ, IL-2, IL-3, IL-4, IL-5, IL-6, IL-17A, MIP-2, GM-CSF and MCP-1, LIF and G-CSF were below the detection limit in the majority of mice.
In sharp contrast to our previous findings in K/BxN serum-induced arthritis , the present study demonstrates that murine antigen-induced arthritis (AIA) is unaffected by disruption of GC signalling in osteoblasts. The most important variables for the decision to reject the hypothesis were clinical signs and histology. Neither in acute nor in prolonged AIA did any clinical signs of arthritis differ significantly between transgenic and WT mice. The impression that the WT- and tg-mice in the short-time and long-time experiments react differently to arthritis induction (Figure 1) is due to the lower number of animals in the long-time experiments. This was confirmed via histological assessment of inflammatory activity, cartilage degradation or bone erosion, where also no significant differences were detectable in both experiments.
Immunological and inflammatory profiles of AIA and K/BxN models
Antigen-induced arthritis (AIA)
K/BxN serum-induced arthritis (KRN)
T cell-independent 
B cell-independent 
B cell-independent 
Antibodies necessary/sufficient to induce arthritis in full extent 
In contrast, in antibody-mediated arthritis, such as K/BxN serum-induced arthritis, T cells are not required. Arthritis is provoked by the antibodies even if the recipients are devoid of lymphocytes [9, 10]. Immune complexes of arthritogenic auto-antibodies act through Fc receptors and the complement network [11, 12], activating neutrophils and macrophages which have been shown to be essential for induction of K/BxN serum-induced arthritis (whereas mast cells have recently been found to be apparently not mandatory) [13–15, 38]. Therefore, our results suggest that the GC-dependent pathway by which osteoblasts modulate the inflammatory response is T cell-independent. Osteoblasts appear to impact the immune complex-mediated inflammatory response via a GC-dependent pathway.
The alternative complement pathway is essential in K/BxN serum-induced arthritis . Complement factors are mainly generated in the liver. However, osteoblasts have been shown to express complement factors , and in endothelial cells, complement factor expression has been found to be GC-dependent . Hence, osteoblasts may produce alternative complement factors in a GC-dependent way (e.g. C3, factor B, factor H), and reduction of these osteoblastic alternative complement factors could be responsible for attenuation of arthritis in Col2.3-11β-HSD2-transgenic mice. Other pro-inflammatory factors in antibody-mediated arthritis – which may be generated by osteoblasts in a GC-dependent way – are urokinase-type plasminogen activator (u-PA) [41–43], matrix metalloproteinases (MMP) [18, 43] and macrophage migration inhibitory factor (MIF) [44–46]. Osteopontin and IL-6 are rather unlikely to be responsible because they play no essential role in K/BxN arthritis [16, 37].
We found no differences in multiplex analysis of serum cytokine levels between arthritic and control mice for WT mice, and only IL-1α, IL-12 p40 and IL-13 for tg mice. This is in accordance with a recently published follow up (from 7 hours to 14 days) multiplex analysis of 24 cytokines in synovial fluid and sera of rats developing antigen-induced arthritis . Cytokine concentrations in sera also showed only little variation here, whereas between cytokine concentrations in arthritic synovial fluid and histological or clinical parameters some correlations were established . We agree with the authors, that “such results are consistent with the local and monarticular nature of AIA, rendering the amount of cytokines produced within a single diseased joint prone to be reduced by degradation in the lymphatic system or by dilution into the bloodstream or both” . The relevance of the differences for IL-1α, IL-12 p40 and IL-13 between AIA WT and tg mice remains unclear. IL-12 p40 and IL-13 levels were lower in tg mice in comparison to WT mice after 14 days, but paradoxically higher after 28 days. In our study of K/BxN serum-induced arthritis, IL-12 p40 levels had not been different, and IL-6 and M-CSF levels tended to be altered in tg mice in comparison to WT mice (IL-1α and IL-13 levels were not determined) . There is indeed evidence for a (endogenous) glucocorticoid modulation of IL-1α, IL-12 p40 and IL-13 [48–51]; however, such a modulation in osteoblasts apparently is of no relevance for AIA.
We did not measure a decrease of BV/TV or an increase in osteoclast covered bone surface due to AIA-arthritis in WT-mice compared to the control group of WT-mice, probably because μCT and histomorphometric measurements were done at the contralateral tibia. Even if the severity of arthritis at the arthritic knee in this model reached a normal extent, comparable to what is known in literature , apparently there are no systemic effects on bone due to the monarticular nature of AIA. This is in line with the cytokine measurements (see above). In our studies of K/BxN arthritis we had seen a systemic effect of arthritis on bone in μCT and histomorphometry at the tibia in WT mice, which was prevented in tg mice . The extent of erosions achieved in the arthritic knee in AIA was low in short and long-term experiments, consistent with previous investigations [53, 54].
To summarise, murine AIA is not affected by disruption of GC signalling in osteoblasts. Our findings suggest that osteoblasts do not modulate the T cell-mediated inflammatory response via a GC-dependent pathway.
Basic fibroblast growth factor
Bone volume/tissue volume
Freund’s complete adjuvant
2.3-kb collagen type Iα1 promotor
Granulocyte colony-stimulating factor
Granulocyte macrophage colony-stimulating factor
Haematoxylin and eosin
11β-hydroxysteroid dehydrogenase type 2
Leukaemia inhibitory factor
Macrophage colony-stimulating factor
Methylated bovine serum albumine
Monocyte chemotactic protein-1
Macrophage migration inhibitory factor
Monokine-induced by interferon-gamma
Macrophage inflammatory protein 1α
Osteoclast number/bone surface
Osteoblast surface/bone surface
Osteoclast surface/bone surface
Platelet-derived growth factor homodimer
Receptor activator of nuclear factor kappa-B ligand
Regulated upon activation normal T cell expressed and secreted
Standard error of the mean
Tartrate-resistant acid phosphatase
Tumour necrosis factor α
Urokinase-type plasminogen activator
Vascular endothelial growth factor
This work was supported by a grant from the German Research Foundation (DFG) (BU 1015/9-1) in association with the Priority Program SPP 1468 “Osteoimmunology IMMUNOBONE – A Program to Unravel the Mutual Interactions between the Immune System and Bone” and by the National Health & Medical Research Council, Australia, Project Grant 632818 to HZ, MJS and FB. TG was supported by the Berlin-Brandenburg Centre of Regenerative Therapies (BCRT). We thank Manuela Jakstadt for expert technical assistance, and Mamdouh Khalil and his staff for excellent animal care.
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