Acute murine antigen-induced arthritis is not affected by disruption of osteoblastic glucocorticoid signalling.

BACKGROUND: 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).
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.

Background

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 [8]. 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 [16].

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 [8]. 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 [17], which we have previously shown to be GC-dependent in osteoblasts during development [18]. Osteoblasts interact with T cells also by the production of cytokines such as IL-6 [19], and IL-6 expression in osteoblasts is likely to be GC-regulated [20].

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].

Methods

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 [23] 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

Immunisation

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 [8]. 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 [8].

Histopathological scoring

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 [27].

Micro-CT

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 [8]. Slide thickness was 7 μm.

Histomorphometry

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.3.2.1.5 (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 [8]. 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 [29]. 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.

Statistical analysis

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 PAIA 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.

Results

Acute AIA

Body weight

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 [PAIA = 0.908].

Knee joint swelling

Knee joint diameter prior to arthritis induction (day 0) did not differ between WT and tg mice (mean ± SD 4.058 ± 0.206 mm and 4.057 ± 0.209 mm, respectively; P = 0.979). Both WT and tg mice treated with mBSA developed acute arthritis with significant knee joint swelling in comparison to controls [P < 0.001], with maximum values on day 1 post injection (mean increase in joint diameter ± SD: +1.07 ± 0.53 mm and +0.96 ± 0.58 mm, respectively). Following day 1, knee joint swelling resolved over time in both groups. There was no statistically significant difference in knee joint swelling between arthritic WT and tg mice [PAIA = 0.468] (Figure 1A).

Figure 1

Clinical assessment of inflammation in arthritic mice injected with mBSA and non-arthritic control mice. Arthritic mice were injected with mBSA on day 0 (AIA) and control mice were injected with phosphate buffered saline (CTR). (A) Means and SEM for knee joint swelling from day 1 to day 14 post intra-articular injection. Knee diameter was measured every 1–2 days and knee joint swelling was calculated as the difference to the knee diameter at day 0 (before arthritis induction) for each day. A repeated-measures analysis was performed (see Materials and Methods); the PAIA value indicates the significance of the difference in variation of knee joint swelling over time between wild-type (WT) and transgenic (TG) mice treated with mBSA. (B) Means and SEM for knee joint swelling from day 1 to day 28, post intra-articular injection and three flare-up reactions induced by intravenous mBSA injections on days 7, 14, 21 (arrows). Knee diameter was measured every 1–2 days. The PAIA value represents the significance derived by repeated-measures analysis between WT AIA mice and transgenic AIA mice.

Histopathological assessment of arthritis

Clinical findings were corroborated by corresponding histological indices of inflammation, cartilage damage and bone erosion. Inflammatory activity on day 14 after intra-articular injection was similar in tg AIA mice when compared to WT AIA mice (Figure 2A, B, and C). Similarly, cartilage degradation and proteoglycan loss in the knee joints were not different in tg AIA mice when compared to WT AIA mice (Figures 2D, E, and F). There was no significant difference between tg and WT AIA mice, neither in the single histological scores for synovitis, joint space exudate, soft tissue inflammation, cartilage degradation/proteoglycan loss, and bone erosion, nor in the total histology score (Figures 2G and H).

Figure 2

Arthritis and cartilage damage in the knee joint 14 days post intra-articular injection. (A-F) Representative histologic sections of knee joints from wild-type (WT) and transgenic mice (TG) treated with mBSA (AIA) and from non-arthritic wild-type control mice (CTR). Both inflammatory activity and cartilage damage were similar in transgenic mice and wild-type mice treated with mBSA. (A–C) Hematoxylin and eosin staining. Arrows show synovitis, joint space exudate and soft tissue inflammation. Bars = 100 μm. (D–F) Toluidine blue staining. Arrows show proteoglycan loss of articular cartilage. Bars = 100 μm. (G-H) Histopathology scores (G single, H total) in mBSA-treated mice (AIA) 14 days post injection. The knee joints of all mice were assessed as described in Materials and Methods. Bars show the mean ± SEM. Findings in arthritic wild-type AIA mice and arthritic transgenic AIA mice for single scores were compared by Mann–Whitney test. Total scores were compared between the 4 groups with adjustment for 4 parallel tests (α* = 0.0125). NS = not significant (see Figure 1 for other definitions).

Micro-CT

To quantify the systemic effects of inflammation on bone metabolism, the contralateral (left) proximal tibia (i.e., a skeletal region remote from the actual site of inflammation) was analysed by micro-CT. No statistically significant difference was detectable between arthritic and control mice, as well as between tg and WT mice in terms of the bone volume fraction (bone volume/tissue volume [BV/TV]), trabecular number and trabecular separation. This indicates that locally restricted AIA does not affect bone morphology systemically, at least not after 14 days. There was a statistical difference in trabecular thickness with higher values in tg than in WT arthritic mice (Figure 3A).

Figure 3

Micro-CT and histomorphometric analysis of the contralateral proximal tibia 14 days post injection of mBSA. Bone turnover was measured at a location distant to the site of active inflammation to assess the systemic effects of joint inflammation. (A) Micro-CT. The bone volume fraction (bone volume/tissue volume (BV/TV]), trabecular number (Tb.N), trabecular separation (Tb.Sp), and trabecular thickness (Tb.Th) are shown for bones harvested. Bars show the mean ± SEM. Findings between the 4 groups were compared using the Mann–Whitney-Test with adjustment for 4 parallel tests (α* = 0.0125). NS = not significant (see Figure 1 for other definitions). (B) Histomorphometric quantification. Bone resorption, shown as osteoclast surface/bone surface (Oc.S/BS) and osteoclast number/bone surface (N.Oc/BS), respectively. Bone formation, shown as osteoblast surface/bone surface (Ob.S/BS). Bars show the mean ± SEM. Findings between the 4 groups were compared by using the Mann–Whitney test with adjustment for 4 parallel tests (α* = 0.0125). NS = not significant (see Figure 1 for other definitions).

Bone histomorphometry

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

The serum levels of 32 cytokines, chemokines and growth factors were determined in AIA and control mice. There was a statistically significant difference between AIA WT and tg mice for IL-1α, IL-12 (p70) and IL-13 on day 14. However, a statistically significant difference between arthritic and control mice was not detectable (Table 1). There were no significant differences in TNF-α, IL-1β, IL-9, IL-10, IL-12 (p40), IL-15, IL-18, MCP-1, MIP-1α, MIP-1β, RANTES, KC, MIG, Eotaxin, LIF, basic-FGF, PDGF-BB, VEGF, M-CSF or G-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, and GM-CSF were below the detection limit in the majority of mice.

Table 1

Serum cytokine levels in control mice and arthritic AIA mice

Cytokine	Control mice, day 14		AIA mice, day 14
	Wild-type (n = 15)	Transgenic (n = 14)	Wild-type (n = 17)	Transgenic (n = 17)
TNF-α (pg/ml)	36 (36–408)	36 (36–36)	409 (36–476)	36 (36–341)
IL-1α (pg/ml)	67 (58–71)	5 (5–64)	89 (54–97)	44 (5–66)#
IL-1β (pg/ml)	558 (46–1,050)	46 (46–1,097)	574 (46–1,397)	46 (46–431)
IL-6 (pg/ml)	6 (6–6)	6 (6–6)	6 (6–6)	6 (6–6)
IL-10 (pg/ml)	50 (5–111)	5 (5–61)	72 (46–107)	50 (5–64)
IL-12 (p40) (pg/ml)	175 (114–222)	131 (114–183)	193 (147–272)	152 (130–224)
IL-12 (p70) (pg/ml)	149 (13–202)	108 (13–149)	162 (123–236)	108 (13–130)#
IL-13 (pg/ml)	45 (45–964)	45 (45–523)	852 (361–1470)	45 (45–45)#
M-CSF (pg/ml)	204 (119–593)	548 (158–612)	295 (115–481)	488 (146–608)
G-CSF (pg/ml)	121 (13–257)	59 (13–140)	165 (13–216)	105 (13–189)
Cytokine	Control mice, day 28		AIA mice, day 28
	Wild-type (n = 8)	Transgenic (n = 9)	Wild-type (n = 7)	Transgenic (n = 6)
TNF-α (pg/ml)	1,361 (903–2310)	1,255 (655–1468)	1,255 (655–1468)	1,577 (848–1685)
IL-1α (pg/ml)	9 (9–9)	9 (9–9)	9 (9–9)	9 (9–9)
IL-1β (pg/ml)	14 (14–144)	14 (14–14)	14 (14–979)	517 (14–1073)
IL-6 (pg/ml)	6 (6–6)	6 (6–6)	6 (6–6)	6 (6–6)
IL-10 (pg/ml)	56 (49–68)	44 (44–54)	49 (40–54)	68 (35–130)
IL-12 (p40) (pg/ml)	98 (90–136)	70 (56–103)	110 (81–147)	83 (72–90)
IL-12 (p70) (pg/ml)	8 (8–8)	8 (8–8)	8 (8–8)	86 (8–105) §, #
IL-13 (pg/ml)	101 (8–253)	8 (8–8)	160 (113–254)	254 (66–1374) §
M-CSF (pg/ml)	95 (85–103)	106 (81–112)	86 (79–120)	88 (77–470)
G-CSF (pg/ml)	12 (12–12)	12 (12–12)	12 (12–12)	12 (12–12)

Values indicated are the median values (interquartile range). Findings between groups were compared using the Kruskal-Wallis test, followed by multiple two-group comparisons. The Bonferroni correction was used to adjust the significance level for 4 parallel comparisons (α* = 0.0125). TNF-α = tumour necrosis factor α; IL-1α = interleukin-1α; M-CSF = macrophage colony-stimulating factor; G-CSF = granulocyte colony-stimulating factor.

Wild-type versus transgenic CTR mice: none.

#Wild-type versus transgenic AIA mice: IL-1α p14 = 0.008; IL-12 (p70) p14 = 0.010 and p28 = 0.009; IL-13 p14 = 0.001.

CTR versus AIA wild-type mice: none.

§CTR versus AIA transgenic mice: IL-12 (p70) p28 = 0.001; IL-13 p28 = 0.008.

Prolonged arthritis

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 [PAIA = 0.553].

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 [PAIA = 0.456] (Figure 1B).

Histopathological assessment of inflamed joints

Histological inflammatory activity, cartilage degradation and bone erosion, as assessed on day 28, were not seen to be different between tg and WT AIA mice (Figure 4).

Figure 4

Arthritis and cartilage damage in the knee joint on day 28 of prolonged arthritis. Mice received intra-articular injection on day 0 and three repeated intravenous boosts with antigen or PBS on days 7, 14, 21. (A–F) Representative histologic sections of knee joints from wild-type (WT) and transgenic (TG) mice treated with mBSA (AIA) and from non-arthritic wild-type control mice (CTR). Both inflammatory activity and cartilage damage were similar in TG and WT mice. (A–C) Haematoxylin and eosin staining. Arrows show synovitis and soft tissue inflammation. Bars = 100 μm. (D–F) Toluidine blue staining. Arrows show proteoglycan loss of articular cartilage. Bars = 100 μm. (G-H) Histopathology scores (G single, H total) in mBSA treated mice (AIA) on day 28 post intra-articular injection and three flare-up reactions. The knee joints of all mice were assessed as described in Materials and Methods. Bars show the mean ± SEM. Findings in arthritic wild-type and transgenic mice for single scores were compared by Mann–Whitney test. Total scores were compared between the 4 groups with adjustment for 4 parallel tests (α* = 0.0125). NS = not significant.

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%).

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.

Discussion

In sharp contrast to our previous findings in K/BxN serum-induced arthritis [8], 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.

The immunological and inflammatory profiles of AIA differ profoundly from those of K/BxN arthritis (Table 2). In AIA, disruption of GC-signalling in osteoblasts is not relevant, probably because the antibody- mediated inflammatory response is of minor importance and the T cell response overcomes other effects. Antigen-specific T cells, in particular CD4+ T helper cells, generated within the adaptive immune response initiated through immunisation, play a major role in AIA as arthritis in this model cannot be induced in T cell-deficient mice [21,22,30]. The antibody-mediated inflammatory response is present in AIA as well, but apparently this is of minor importance here. This is evidenced by the observations that (i) mBSA antibodies-containing serum can only induce very weak arthritis and (ii) antibody-producing B cells are not at all required for induction of arthritis [21,22,30]. The mBSA challenge induces a significant neutrophil migration which peaks at 24 hours and subsides by seven days after challenge [31,32]. Fc Receptors are involved in this activation [33,34], but – in contrast to exclusively antibody-mediated arthritis models – complement appears to play a minor role. This conclusion has been derived from findings which demonstrate that flare-up reactions of AIA are complement-independent, and that neutrophils occur in the synovial tissue of complement-depleted mice as well [35].

Table 2

Immunological and inflammatory profiles of AIA and K/BxN models

Compartment	Antigen-induced arthritis (AIA)	K/BxN serum-induced arthritis (KRN)
T cells	T cell-dependent [21,22,30]	T cell-independent [9]
B cells	B cell-independent [22]	B cell-independent [9]
Antibodies	Antibodies unnecessary/insufficient to induce arthritis to the full extent [21,22,30]	Antibodies necessary/sufficient to induce arthritis in full extent [9]
Complement	Complement-independent [31]	Complement-dependent [12]
Fc receptors	FcγR important [32,33]	FcγR-dependent [12]
Neutrophils, macrophages	Neutrophils important [34,35], but complement-independent [31]	Neutrophil-dependent, macrophage-dependent [13,14]
Cytokines	IL-1, TNF-α, IL-6, IL-17, RANKL important [22,36]	IL-1-, TNF-α-dependent [16] IL-6-, osteopontin-independent [16,37]

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 [12]. Complement factors are mainly generated in the liver. However, osteoblasts have been shown to express complement factors [39], and in endothelial cells, complement factor expression has been found to be GC-dependent [40]. 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 [47]. 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 [47]. 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” [47]. 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) [8]. 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 [52], 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 [8]. 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].

Conclusions

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.

Abbreviations

AIA: Antigen-induced arthritis; basic-FGF: Basic fibroblast growth factor; BV/TV: Bone volume/tissue volume; CFA: Freund’s complete adjuvant; Col2.3: 2.3-kb collagen type Iα1 promotor; CTR: Control(s); EDTA: Ethylenediaminetetraacetic acid; GC: Glucocorticoid(s); G-CSF: Granulocyte colony-stimulating factor; GM-CSF: Granulocyte macrophage colony-stimulating factor; H&E: Haematoxylin and eosin; 11β-HSD2: 11β-hydroxysteroid dehydrogenase type 2; IL: Interleukin; IFN-γ: Interferon-γ; KC: Keratinocyte-derived cytokine; LIF: Leukaemia inhibitory factor; M-CSF: Macrophage colony-stimulating factor; mBSA: Methylated bovine serum albumine; MCP-1: Monocyte chemotactic protein-1; micro-CT: Microfocal-computed tomography; MIF: Macrophage migration inhibitory factor; MIG: Monokine-induced by interferon-gamma; MIP-1α: Macrophage inflammatory protein 1α; MMP: Matrix metalloproteinases; N.Oc/BS: Osteoclast number/bone surface; Ob.S/BS: Osteoblast surface/bone surface; Oc.S/BS: Osteoclast surface/bone surface; PBS: Phosphate-buffered saline; PDGF-BB: Platelet-derived growth factor homodimer; RA: Rheumatoid arthritis; RANKL: Receptor activator of nuclear factor kappa-B ligand; RANTES: Regulated upon activation normal T cell expressed and secreted; SD: Standard deviation; SEM: Standard error of the mean; Tb.N: Trabecular number; Tb.Sp: Trabecular separation; Tb.Th: Trabecular thickness; tg: Transgenic; TRAP: Tartrate-resistant acid phosphatase; TNF-α: Tumour necrosis factor α; u-PA: Urokinase-type plasminogen activator; VEGF: Vascular endothelial growth factor; WT: Wild-type.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

CS planned and performed experiments, analysed and interpreted data, performed the histological scoring and drafted the manuscript; EW performed experiments, analysed and interpreted data, performed the histological scoring and carried out the micro-CT and histomorphometry analysis; JWT did experiments and performed the histological scoring; AL did pre-experiments; TG carried out the cytokine analysis and planned the study; DH performed the statistical analysis; HZ, MJS and FB supervised the project, planned the study and reviewed the manuscript. All authors read and approved the final manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here:

http://www.biomedcentral.com/1471-2474/15/31/prepub