Literature DB >> 15987489

Gene expression profile and synovial microcirculation at early stages of collagen-induced arthritis.

Philip Gierer1, Saleh Ibrahim, Thomas Mittlmeier, Dirk Koczan, Steffen Moeller, Jürgen Landes, Georg Gradl, Brigitte Vollmar.   

Abstract

A better understanding of the initial mechanisms that lead to arthritic disease could facilitate development of improved therapeutic strategies. We characterized the synovial microcirculation of knee joints in susceptible mouse strains undergoing intradermal immunization with bovine collagen II in complete Freund's adjuvant to induce arthritis (i.e. collagen-induced arthritis [CIA]). Susceptible DBA1/J and collagen II T-cell receptor transgenic mice were compared with CIA-resistant FVB/NJ mice. Before onset of clinical symptoms of arthritis, in vivo fluorescence microscopy of knee joints revealed marked leucocyte activation and interaction with the endothelial lining of synovial microvessels. This initial inflammatory cell response correlated with the gene expression profile at this disease stage. The majority of the 655 differentially expressed genes belonged to classes of genes that are involved in cell movement and structure, cell cycle and signal transduction, as well as transcription, protein synthesis and metabolism. However, 24 adhesion molecules and chemokine/cytokine genes were identified, some of which are known to contribute to arthritis (e.g. CD44 and neutrophil cytosolic factor 1) and some of which are novel in this respect (e.g. CC chemokine ligand-27 and IL-13 receptor alpha1). Online in vivo data on synovial tissue microcirculation, together with gene expression profiling, emphasize the potential role played by early inflammatory events in the development of arthritis.

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Year:  2005        PMID: 15987489      PMCID: PMC1175036          DOI: 10.1186/ar1754

Source DB:  PubMed          Journal:  Arthritis Res Ther        ISSN: 1478-6354            Impact factor:   5.156


Introduction

Murine collagen-induced arthritis (CIA) is a chronic inflammatory disease that bears all the hallmarks of rheumatoid arthritis (RA), namely polyarthritis and synovitis with subsequent cartilage and bone erosions [1]. CIA is induced in susceptible strains of mice (e.g. DBA1/J) by immunization with bovine collagen type II in complete Freund's adjuvant (CFA). The development of CIA is thought to depend on T cells, and disease susceptibility is linked to the major histocompatibility region [2]. Activated lymphocytes migrate to the joint, where an inflammatory cascade involving T cells, macrophages, monocytes, B cells and activated synoviocytes is triggered. This cellular infiltration, together with production of a complex array of cytokines and other soluble mediators, contributes to synovial proliferation, pannus formation, cartilage destruction and subchondral bone erosion [3]. Because the inflammatory process within joint tissues represents a key feature of RA, an understanding of the mechanisms that induce and sustain this aspect of RA pathology would permit development of new and powerful therapeutic strategies. With direct online visualization, the technique of intravital fluorescence microscopy permits dissection of the complex cell inflammatory response, with differentiation between cellular subtypes and their distinct adhesion molecule dependent interactions within the microcirculation. The approach of in vivo microscopy has successfully been applied in joints of mice with antigen-induced arthritis (AIA) [4]. AIA is established in mice by immunizing them with methylated bovine serum albumin (mBSA) in CFA with or without an arthritogenic infectious agent at days 0 and 7, followed by intra-articular injection of mBSA at day 21 [5]. Although AIA is an established animal model for the study of human RA [6], arthritis is more commonly induced using collagen, and this represents the primary animal model for RA in humans [7-9]. Therefore, we employed in vivo microcirculatory analysis of knee joints in mice with CIA, using different strains that are known to acquire CIA, such as DBA1/J mice and T-cell receptor (TCR) transgenic mice that carry the rearranged Vα11.1 and Vβ8.2 chain genes isolated from a type II collagen-specific T-cell hybridoma (DBA-CII-TCR Tg) [10]. FVB/NJ mice were used as controls, because these mice have been reported to be resistant to arthritis induction, probably because of a genomic deletion of TCR Vβ gene segments [11]. Because we were particularly interested in the disease initiation stage, the synovial microcirculation was assessed before the onset of clinical symptoms of arthritis. We further characterized the global gene expression profile at this early stage in the disease in order to define the initial molecular mechanisms and to determine the onset of joint inflammation.

Materials and methods

Animal model

The experimental protocol was approved by the local animal rights protection authorities (LVL M-V/TSD/7221.3-1.1-037/04) and followed the National Institutes of Health guidelines for the care and use of laboratory animals. DBA1/J and FVB/NJ mice were obtained from the Jackson Laboratory (Bar Harbor, ME, USA). Collagen II specific TCR transgenic mice were a kind gift from Professor Ladiges, University of Washington, USA [10]. All mice were kept under standard conditions at the animal care facility of the University of Rostock. Mice aged 8 weeks (n = 5–10 per strain and group) were immunized intradermally at the base of the tail with 125 μg bovine collagen II (Chondrex, Redmond, WA, USA) emulsified in CFA (DIFCO, Detroit, MI, USA) or with equivalent volumes of CFA only. Six weeks after immunization and before clinical signs of arthritis manifested, animals were anaesthetized with ketamine (90 mg/kg body weight) and xylacin (6 mg/kg) and placed on a heating pad to maintain their body temperature at 37°C. A catheter was placed in the left jugular vein for application of fluorescent dyes. For in vivo multifluorescence microscopy of synovial microcirculation, we used the knee joint model initially described by Veihelmann and coworkers [4]. Briefly, the skin was incised distal to the patella tendon. After removal of the overlying soft tissues, the patella tendon was transversally cut and the proximal and distal part carefully mobilized. After exposure, the 'Hoffa's fatty body' was superfused with 37°C warm physiological saline solution to prevent the tissues from drying and finally covered with a glass slide. Following a 15-min stabilization period after surgical preparation, in vivo microscopy of the synovial tissue was performed. At the end of the experiments, animals were killed by exsanguination. The complete knee joint was excised and harvested for subsequent histology. Paws were used for gene expression profile analysis.

Clinical evaluation of arthritis

As described by Nanakumar and coworkers [12], scoring of animals was done blindly using a scoring system based on the number of inflamed joints in each paw, inflammation being defined by swelling and redness. In this scoring system each inflamed toe or knuckle is attributed 1 point, whereas an inflamed wrist or ankle is attributed 5 points, resulting in a score of 0 to 15 (five toes + five knuckles + one wrist/ankle) for each paw and 0–60 points for each mouse [12].

In vivo fluorescence microscopy

After intravenous injection of FITC-labelled dextran (15 mg/kg body weight; Sigma, Deisenhofen, Germany) and rhodamine 6G (0.15 mg/kg body weight; Sigma), in vivo microscopy was performed using a Zeiss microscope (Axiotech vario 100HD; Carl Zeiss, Oberkochen, Germany) equipped with a 100 W mercury lamp and filter sets for blue (excitation 465–495 nm, emission >505 nm) and green (excitation 510–560 nm, emission >575 nm) epi-illumination. Using water-immersion objectives (×20 W/numerical aperture 0.5 and ×40 W/numerical aperture 0.8; Carl Zeiss), final magnifications of 306× and 630× were achieved. Images were recorded by means of a charge-coupled device video camera (FK 6990-IQ-S; Pieper, Schwerte, Germany) and transferred to a S-VHS video system for subsequent offline analysis.

Microcirculatory analysis

For quantitative offline analysis a computer-assisted microcirculation image analysis system was used (CapImage v7.4; Zeintl, Heidelberg, Germany). Functional capillary density was defined as the total length of red blood cell perfused capillaries per observation area, and is given in cm/cm2. For assessment of leucocyte–endothelial cell interaction in postcapillary venules, flow behaviour of leucocytes was analyzed with respect to free floating, rolling and adherent leucocytes. Rolling leucocytes were defined as those cells moving along the vessel wall at a velocity less than 40% that of leucocytes at the centre line, and are expressed as a percentage of the total leucocyte flux. Venular leucocyte adherence was defined as the number of leucocytes not moving or detaching from the endothelial lining of the venular vessel wall during an observation period of 20 s. Assuming cylindrical microvessel geometry, leucocyte adherence was expressed as nonmoving cells per endothelial surface (n/mm2), calculated from the diameter and length of the vessel segment analyzed. In postcapillary venules, centre line red blood cell velocity (VRBC) was determined using the line shift method (CapImage; Zeintl, Heidelberg, Germany). The wall shear rate was calculated based on the Newtonian definition: y = 8 × Vmean/D, where Vmean is the mean velocity (VRBC/1.6) and D is diameter of the individual microvessel.

Laboratory analysis

Arterial blood samples were drawn for analysis of blood cell counts using a Coulter Counter (AcTdiff; Coulter, Hamburg, Germany).

Sample preparation for high-density oligonucleotide microarray hybridization

Paws of DBA/1J mice immunized with CFA or CFA/collagen II and unimmunized mice were dissected and snap frozen in liquid nitrogen, and total RNA was extracted using a commercially available system (Qiagen, Hilden, Germany). RNA probes were labelled in accordance with the manufacturer's instructions (Affymetrix, Santa Clara, CA, USA). Analysis of gene expression was conducted using the U430A array (Affymetrix), which has a capacity of about 20,000 genes. Samples from individual mice were hybridized onto individual arrays. Hybridization and washing of gene chips were done in accordance with the manufacturer's instructions and were as described previously [13]. Microarrays were analyzed by laser scanning and the expression levels were calculated using commercially available software provided by Affymetrix [13]. The files were then analyzed using the affylmGUI package of the Bioconductor software suite (Affymetrix) [14,15]. The expression was determined using the robust multichip average method [16]. A linear model of the expression data for Limma was created within affylmGUI, for which the six arrays of mice immunized with CFA/collagen II, the three arrays for mice administered CFA only, and the two arrays for control mice were separated into three groups. Contrasts were calculated for each group against the other two. The expression data are available in Additional files 1, 2, 3. Genes considered differentially expressed were selected on the basis of P value (<0.001) and a 1.5-fold change in intensity (abs [M value] = log2 [1.5]). These genes are presented in Additional file 4. Gene Ontology (GO) terms were assigned to the selected genes (Fig. 1 and Additional file 4) via the Bioconductor GO package 1.6.8 and the chip annotation package MOE430a of the same version [17]. The Bioconductor GO package provides lists of reachable subterms for each GO term. We used this function to filter genes associated with adhesion, specifically those assigned to 'adhesion offspring' for any term in the following list: GO:0005125 (cytokine activity), GO:0006955 (immune response), GO:0050776 (regulation of immune response), GO:0004895 (cell adhesion receptor activity), GO:0007155 (cell adhesion), GO:0016337 (cell–cell adhesion), GO:0030155 (regulation of cell adhesion), GO:0050839 (cell adhesion molecule binding), GO:0030155 (regulation of cell adhesion), GO:0019955 (cytokine binding), GO:0005912 (adherens junction), GO:0005925 (focal adhesion), GO:0050900 (immune cell migration), GO:0030595 (immune cell chemotaxis), GO:0006954 (inflammatory response) and GO:0006935 (chemotaxis).
Figure 1

Summary of differentially expressed genes at the early stage of arthritis. Of the approximately 22,000 genes on the Affymetrix chip MOE430a, 655 genes were significantly differentially expressed (minimum 1.5-fold; P < 0.001) in a particular comparison: complete Freund's adjuvant (CFA)/collagen II versus CFA, CFA/collagen II versus no treatment, or CFA versus no treatment. Genes differentially expressed in more than one comparison are shown.

Histology

At the end of each experiment, knee joints were fixed in 4% phosphate-buffered formalin for 2–3 days, decalcified in EDTA for 6 weeks, and then embedded in paraffin. From the paraffin-embedded tissue blocks, 4 μm sections were cut and stained with haematoxylineosin for histological analysis. For semiquantitative analysis, the score described by Brackertz and coworkers [6] was used (0 = normal knee joint; 1 = occasional mononuclear cells in normal synovium; 2 = perivascular leucocyte infiltration, two or more synovial cell layers; 3 = dense infiltration of leucocytes, synovial hyperplasia; 4 = synovitis, pannus formation and cartilage erosions). The analysis was done by a blinded and independent observer.

Statistical analysis of microcirculatory data

Results are presented as mean ± standard error of the mean. After proving the assumption of normality, comparisons between the experimental groups were performed by one-way analysis of variance, followed by the appropriate post hoc multiple comparison procedure, including Bonferroni correction (SigmaStat; Jandel, San Rafael, CA, USA). P < 0.05 was considered statistically significant.

Results

Gene expression profile in joints at onset of arthritis

To define the gene expression profile at early stages of CIA, we used the murine Affymetrix oligonucleotide microarray MOE430a, with more than 20,000 gene specificities, to compare the three groups of mice (i.e. CFA/collagen II immunized, CFA immunized and unimmunized). As shown in Additional files 1, 2, 3, 4 and Fig. 1, 655 genes were differentially expressed between groups and taking a P < 0.001 as the threshold for significance. Interestingly, CFA alone induced the greatest number of differentially expressed genes (i.e. 498). A total of 375 genes overlapped between different groups, and 280 were unique to a certain group of mice (Additional file 4). When grouped according to their probable function (i.e. GO terms), the majority of the differentially expressed genes fell into classes of genes involved in cell movement and structure, cell cycle and signal transduction, as well as transcription, protein synthesis and metabolism. One prominent group was that of adhesion molecules and chemokine/cytokine-related genes. Twenty-four genes belonging to this group were identified and are summarized in Table 1 (Additional file 4). Some genes are well known for their contribution to cell activation, cell–cell communication and chemotaxis, such as CD44, CD36, IL-1 receptor antagonist and neutrophil cytosolic factor (NCF)-1, as well as CC and CXC chemokines (Table 1, Additional file 4).
Table 1

Summary of adhesion molecules and chemokines/cytokines differentially expressed in CIA joints at early stages of disease and their GO terms.

Affymetrix IDChangeGene IDDescriptionGo Term/Function
Solely changed in comparison CFA/collagen II versus CFA
 1423760_atUpCd44CD44 antigenGO:0007155 cell adhesion
Solely changed in comparison CFA/collagen II versus no treatment
 1422103_a_atDnStat5bSignal transducer and activator of transcription 5BGO:0030155 cell adhesion
 1423166_at -DnCd36CD36 antigenGO:0007155 cell adhesion
 1427165_at -UpIl13ra1IL-13 receptor alpha 1GO:0004907 IL activity
 1434044_at -DnRepin1Replication initiator 1GO:0006954 inflammatory response
 1452483_a_atUpCd44CD44 antigenGO:0007155 cell adhesion
 1452514_a_atDnKitKit oncogeneGO:0006935 chemotaxis
Solely changed in comparison CFA versus no treatment
 1416156_atDnVclVinculinGO:0005912 adherens junction
 1417705_atDnOtub1OTU domain, ubiquitin aldehyde binding 1GO:0006955 immune response
 1422873_atDnPrg2Proteoglycan 2, bone marrowGO:0006955 immune response
 1430375_a_atUpCcl27Chemokine (CC motif) ligand 27GO:0008009 chemokine activity
 1437807_x_atDnCatna1Catenin α1GO:0005912 adherens junction
 1452020_a_atUpSivaCD27 binding proteinGO:0005175 CD27 receptor binding
 1455158_atDnItga3Integrin α3GO:0007155 cell adhesion
Changed in comparisons CFA/collagen II vs. CFA and CFA vs. no treatment
 1450488_atDn-UpCcl24Chemokine (CC motif) ligand 24GO:0008009 chemokine activity
Changed in comparisons CFA/collagen II vs. no treatment and CFA vs. no treatment
 1419329_atDn DnSh3d4SH3 domain protein 4GO:0007155 cell adhesion
 1420465_s_atUp UpMup1Major urinary protein 1GO:0016068 type I hypersensitivity
 1420553_x_atDn DnSerpina1aSerine proteinase inhibitor, clade A, member 1aGO:0006953 acute-phase response
 1423017_a_atUp UpIl1rnIL-1 receptor antagonistGO:0006955 immune response
 1423734_atUp UpRac1RAS-related C3 botulinum substrate 1GO:0007155 cell adhesion
GO:0006954 inflammatory response
 1423885_atDn DnLamc1Laminin γ1GO:0007155 cell adhesion
 1427164_atUp UpIl13ra1IL-13 receptor α1GO:0004907 IL activity
 1435148_atDn DnAtp1b2ATPase, Na+/K+ transporting, β2 polypeptideGO:0007155 cell adhesion
 1448303_atDn DnGpnmbGlycoprotein nmbGO:0007155 cell adhesion
 1451767_atUp UpNcf1Neutrophil cytosolic factor 1GO:0006954 inflammatory response

Shown are differentially expressed genes associated with adhesion or inflammation with respect to Gene Ontology (GO) terms. The genes are a subset of those shown in the Venn diagram (Fig. 1). The first column gives the probe set identification number (ID) of the Affymetrix chip Moe430a. The second column lists whether the gene is significantly upregulated (Up) or downregulated (Dn; minimum 1.5-fold) in a particular comparison, ordered complete Freund's adjuvant (CFA)/collagen II versus CFA, CFA/collagen II versus no treatment, and CFA versus no treatment. Columns three to five show the gene symbol, its name and GO terms. For further details, see Materials and method. IL, interleukin.

Systemic parameters

The animals from the CFA/collagen II immunized and the CFA immunized groups did not differ with respect to haemoglobin and haematocrit (Table 2). Moreover, there were no differences in blood cell counts between the two groups (Table 2).
Table 2

Haemoglobin, haematocrit and blood cell counts following CFA or CFA/collagen II exposure

CFACFA/collagen II

FVBDBATCRFVBDBATCR
Haemoglobin (mmol/l)6.5 ± 0.47.1 ± 0.47.1 ± 0.47.1 ± 0.27.7 ± 0.37.9 ± 0.1
Haematocrit (%)36 ± 243 ± 341 ± 340 ± 147 ± 246 ± 1
Thrombocytes (109/l)851 ± 96447 ± 73551 ± 124984 ± 210729 ± 124743 ± 111
Leucocytes (109/l)3.8 ± 0.54.4 ± 0.92.1 ± 0.81.8 ± 0.54.9 ± 1.03.7 ± 0.7
Lymphocytes (%)76 ± 580 ± 370 ± 365 ± 265 ± 465 ± 5
Mixed population (%)14 ± 111 ± 226 ± 425 ± 332 ± 530 ± 4
Neutrophils (%)6 ± 44 ± 15 ± 110 ± 33 ± 15 ± 2

Values are expressed as mean ± standard error. Blood samples were drawn at 6 weeks after complete Freund's adjuvant (CFA)- and CFA/collagen II exposure. TCR, T-cell receptor.

Microvascular perfusion in synovial tissue

Functional capillary density did not differ significantly between the experimental groups (Fig. 2), although there was a tendency toward lower values in the DBA mice, and in particular the TCR transgenic mice, after CFA/collagen II exposure (Fig. 2). Capillary diameters increased and VRBC decreased in all animals exposed to CFA/collagen II exposure compared with those subjected to CFA control treatment (Table 3). Wall shear rates were found to be reduced in the CFA/collagen II treated mice in comparison with those treated with CFA (Table 3).
Figure 2

Functional capillary density. Shown is the functional capillary density of the synovium in complete Freund's adjuvant (CFA)/collagen II exposed FVB/NJ, DBA1/J and T-cell receptor (TCR) transgenic mice (collagen +) in comparison with CFA treated controls (collagen -). Intravital fluorescence microscopy of the knee joints was performed at 6 weeks after collagen exposure for induction of arthritis. Values are expressed as means ± standard error (n = 5–10 animals/group).

Table 3

Capillary diameter, venular red blood cell velocity and wall shear rates in synovial tissue following CFA or CFA/collagen II exposure

CFACFA/collagen II

FVBDBATCRFVBDBATCR
Capillary diameter (μm)4.3 ± 0.14.5 ± 0.24.4 ± 0.14.5 ± 0.14.7 ± 0.14.6 ± 0.1
VRBC (μm/s)840 ± 1431085 ± 3501760 ± 412620 ± 278835 ± 251487 ± 122*
Wall shear rate (s-1)0.20 ± 0.030.21 ± 0.050.40 ± 0.090.12 ± 0.030.18 ± 0.050.10 ± 0.02

Values are expressed as means ± standard error. *P < 0.05 versus corresponding complete Freund's adjuvant (CFA) treated control animals. TCR, T-cell receptor; VRBC, venular red blood cell velocity.

Inflammatory cell response in synovial tissue

Although the animals exhibited no clinical symptoms of arthritic disease, synovial tissue was characterized by an inflammatory cell response with significant (P < 0.05) increases in leucocytes, both rolling along and firmly attaching to the venular endothelium, in DBA and TCR transgenic mice (Figs 3 and 4). In contrast, CIA-resistant FVB animals did not respond with enhanced leucocyte–endothelial cell interaction on CFA/collagen II exposure, with findings equivalent to those in CFA treated control animals (Figs 3 and 4). Concomitant with the lack of clinical signs, the score in haematoxylin and eosin stained knee joints was found to be less than 1 in all animals, irrespective of genotype and treatment (data not shown).
Figure 3

Leucocytes rolling along the endothelium of postcapillary synovial venules. Shown are the proportions of leucocytes rolling along the endothelium of postcapillary synovial venules (as % of all passing leucocytes) in complete Freund's adjuvant (CFA)/collagen II exposed FVB/NJ, DBA1/J and T-cell receptor (TCR) transgenic mice (collagen +) in comparison with CFA treated controls (collagen -). Intravital fluorescence microscopy of the knee joints was performed at 6 weeks after collagen exposure for induction of arthritis. Values are expressed as means ± standard error (n = 5–10 animals/group); analysis of variance, unpaired post hoc comparison test: #P < 0.05 versus corresponding CFA-treated control animals (collagen -).

Figure 4

Leucocytes adherent to the endothelium of postcapillary synovial venules. Shown are the numbers of leucocytes adherent to the endothelium of postcapillary synovial venules (cells/mm2 endothelial surface) in complete Freund's adjuvant (CFA)/collagen II exposed FVB/NJ, DBA1/J and T-cell receptor (TCR) transgenic mice (collagen +) in comparison with CFA treated controls (collagen -). Intravital fluorescence microscopy of the knee joints was performed at 6 weeks after collagen exposure for induction of arthritis. Values are expressed as mean ± standard error (n = 5–10 animals/group); analysis of variance, unpaired post hoc comparison test: #P < 0.05 versus corresponding CFA-treated control animals (collagen -).

Discussion

In the present study we found that susceptible mice that were exposed to CFA/collagen II for induction of arthritis exhibited marked signs of inflammation within the microcirculation of the knee joint, although animals were still free from clinical symptoms. Collagen II treated TCR transgenic and DBA/1J mice did not differ in terms of the extent of inflammation, which exceeded that in resistant FVB animals markedly. The inflammatory cell response, as indicated by the enhanced activation and interaction of leucocytes with the microvascular endothelium, was mirrored by the expression of genes that contribute to cell activation, cell–cell communication and chemotaxis. Despite the considerable work done to elucidate disease pathways, several aspects of RA remain poorly defined. A rigorous understanding of the initial mechanisms involved in the pathogenesis of RA would permit the development of strategies to impede the manifestation of the disease. In numerous organ pathologies, the activation of circulating leucocytes, and their interaction with the endothelial lining followed by subsequent transendothelial migration and infiltration into tissue represent the first and determining step in a complex sequence of processes that mediate tissue injury [18-20]. In contrast to our previous study addressing the expression profile of joints in CIA mice at the peak of the disease [13], we intentionally focused on an early stage in the disease, in which the animals were free of clinical symptoms. Although arthritic disease with establishment of pannus tissue is dominated by genes that are involved in cell division and proliferation, rather than immunologically relevant genes [13], early disease appears to be characterized by distinct upregulation of a group of chemotactic and adhesion molecules, such as CD44 and IL-13 receptor α1, as well as CC chemokine ligand (CCL)-24 and CCL-27, which presumably are responsible for cell attraction within the joint microcirculation. Many of those molecules were induced by both CFA and CFA/collagen II treatment, which is unsurprising because CFA is essential for induction of CIA. Interestingly, the only upregulated adhesion molecule in the comparison between mice treated with CFA/collagen II and those treated with CFA alone was CD44, supporting a role for CD44 in this early stage of arthritis. Indeed, there is considerable published evidence for CD44 involvement in arthritis, although its exact role remains controversial [21,22]. In accord with the importance of adhesion molecules in development of arthritis, frozen section binding assays in rheumatoid synovitis demonstrated that, apart from E-selectin and counter receptors for β1/β2 integrins, P-selectin is the predominant adhesion molecule, mediating monocyte binding to inflamed synovial venules [23]. Similarly, increased cellular infiltration and increased expression of E-selectin, intercellular adhesion molecule-1, vascular cell adhesion molecule-1, platelet/endothelial cell adhesion molecule-1, very late appearing antigen-4, and Mac-1 were found in immunohistochemistry of synovial tissue from patients with RA [24]. Veihelmann and coworkers [25] demonstrated high numbers of adherent leucocytes upon clinical manifestation of AIA in mice, regardless of phase (acute, intermediate, or chronic) of disease. In accordance with and extending the findings of the latter study, we now show that leucocyte adhesion is apparent even if clinical symptoms are still absent, underscoring leucocyte–endothelial interaction as an integral part not only of the perpetuation and propagation of disease but also of its initiation. Apart from adhesion molecules, a few chemokines and inflammatory mediators were found among the genes predominantly expressed in CIA mice in the present study. This is in accordance with the common knowledge that the key mechanisms underlying synovitis include inflammatory cell activation and adhesion, as well as production of mediators such as cytokines, chemokines and growth factors [26,27]. In particular, tumour necrosis factor (TNF)-α and IL-1 regulate nuclear factor-κB inducible genes that control – apart from other factors – cell adhesion molecules, proinflammatory mediators and immunomodulatory molecules. These properties established a rationale for anticytokine therapeutics and their evaluation in an extensive series of clinical trials [28]. Anti-TNF-α therapy has been shown to reduce expression of adhesion molecules and to decrease cellularity of rheumatoid synovial tissue [29,30], supporting the hypothesis that the anti-inflammatory effect is due to a downregulation of cytokine-inducible vascular adhesion molecules with a consequent reduction in cell traffic into joints. A few molecules belonging to the category of chemokines and inflammatory mediators were differentially expressed and deserve further investigation. These are NCF-1, IL-13 receptor α1 and CCL-27. NCF-1 is a member of the NADPH (nicotinamide adenine dinucleotide phosphate, reduced form) oxidase complex, which was recently identified as a susceptibility gene for pristine-induced arthritis. However, its exact role in disease remains unclear [31]. The chemokine ligand CCL-27 was recently shown to bind the P-selectin glycoprotein ligand 1 – a molecule that plays a role in homing of T lymphocytes [32]. The role played by the cytokine receptor IL-13 receptor α1 in arthritis has not been established, but its ligand, IL-13, has been described as a cytokine with anti-inflammatory properties in arthritis and was the target of experimental gene therapy experiments [33]. Of interest, mice from the two strains studied did not differ with respect to functional capillary density, averaging about 320 cm/cm2. Corresponding values were found in Balb/c mice during acute and intermediate phases of AIA [21] but were attributed to inflammation-associated angiogenesis, because control animals had values well below 250 [4,21]. If it were angiogenesis driven, this would not account for the high functional capillary density in CFA treated control animals of the present study. Thus, it is more likely that differences in functional capillary density are simply due to the fact that different strains were used.

Conclusion

Our data suggest that upregulation of proinflammatory mediators and molecules facilitate leucocyte adhesion to the endothelium and migration into tissue, thereby representing an essential and primary step in the development of arthritis. Although studies of early RA are few, because there is an inherent delay before patients receive expert care, it has been recognized that early intervention improves outcome. Thus, the early innate immune response should be an ongoing focus of future research to determine whether leucocyte activation predicts severity of disease and is the earliest change to occur in rheumatoid synovium.

Abbreviations

AIA = antigen-induced arthritis; CCL = CC chemokine ligand; CFA = complete Freund's adjuvant; CIA = collagen-induced arthritis; GO = Gene Ontology; IL = interleukin; mBSA = methylated bovine serum albumin; NCF = neutrophil cytosolic factor; RA = rheumatoid arthritis; TCR = T-cell receptor; TNF = tumour necrosis factor; VRBC = centre line red blood cell velocity.

Competing interests

The author(s) declare that they have no competing interests.

Authors' contributions

PG, JL and GG performed the animal experiments and intravital fluorescence microscopic analysis. SI, DK and SM performed gene expression profiling experiments with bioinformatic analysis. SI, TM and BV conceived the study, and participated in its design and coordination. SI and BV drafted the manuscript. All authors read and approved the final manuscript.

Additional File 1

Excel file showing the output of the topTable function of the GNU R Limma package, as provided by the R affylmGUI package: complete Freund's adjuvant (CFA)/collagen II versus CFA. The columns first describe the genes using an internal identification number (ID), the Affymetrix probe set ID, the gene's symbol and a small description or full name. The statistics for the genes are summarized in the columns M (logarithmic fold change; the difference in logarithm of expression for each group), A (logarithmic mean expression), t (moderated t statistic), P value (nominal P value) and B (log odds that the gene is differentially expressed). With B positive, the gene is more likely to be differentially expressed than not. At 0 it is uncertain. Click here for file

Additional File 2

Excel file showing the output of the topTable function of the GNU R limma package as provided by the R affylmGUI package: complete Freund's adjuvant (CFA)/collagen II versus no treatment. The columns first describe the genes using an internal identification number (ID), the Affymetrix probe set ID, the gene's symbol and a small description or full name. The statistics for the genes are summarized in the columns M (logarithmic fold change; the difference in logarithm of expression for each group), A (logarithmic mean expression), t (moderated t statistic), P value (nominal P value) and B (log odds that the gene is differentially expressed). With B positive, the gene is more likely to be differentially expressed than not. At 0 it is uncertain. Click here for file

Additional File 3

Excel file showing the output of the topTable function of the GNU R limma package as provided by the R affylmGUI package: complete Freund's adjuvant (CFA) vs. no treatment. The columns first describe the genes using an internal identification number (ID), the Affymetrix probe set ID, the gene's symbol and a small description or full name. The statistics for the genes are summarized in the columns M (logarithmic fold change; the difference in logarithm of expression for each group), A (logarithmic mean expression), t (moderated t statistic), P value (nominal P value) and B (log odds that the gene is differentially expressed). With B positive, the gene is more likely to be differentially expressed than not. At 0 it is uncertain. Click here for file

Additional File 4

Excel file summarizing genes differentially expressed in collagen-induced arthritis (CIA) joints at early stages in the disease. The first column gives the probe set identification number (ID) of the Affymetrix chip Moe430a. Columns 2–4 list whether the gene is significantly upregulated (Up) or downregulated (Dn; minimum 1.5-fold; P < 0.001) in a particular comparison, ordered complete Freund's adjuvant (CFA)/collagen II versus CFA, CFA/collagen II versus no treatment, and CFA versus no treatment. Columns 5 and 6 show the gene symbol and its name. For further details, see Materials and method. Click here for file
  33 in total

1.  The Gene Ontology (GO) database and informatics resource.

Authors:  M A Harris; J Clark; A Ireland; J Lomax; M Ashburner; R Foulger; K Eilbeck; S Lewis; B Marshall; C Mungall; J Richter; G M Rubin; J A Blake; C Bult; M Dolan; H Drabkin; J T Eppig; D P Hill; L Ni; M Ringwald; R Balakrishnan; J M Cherry; K R Christie; M C Costanzo; S S Dwight; S Engel; D G Fisk; J E Hirschman; E L Hong; R S Nash; A Sethuraman; C L Theesfeld; D Botstein; K Dolinski; B Feierbach; T Berardini; S Mundodi; S Y Rhee; R Apweiler; D Barrell; E Camon; E Dimmer; V Lee; R Chisholm; P Gaudet; W Kibbe; R Kishore; E M Schwarz; P Sternberg; M Gwinn; L Hannick; J Wortman; M Berriman; V Wood; N de la Cruz; P Tonellato; P Jaiswal; T Seigfried; R White
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

Review 2.  The transfer of a laboratory based hypothesis to a clinically useful therapy: the development of anti-TNF therapy of rheumatoid arthritis.

Authors:  Marc Feldmann; Fionula M Brennan; Richard O Williams; James N Woody; Ravinder N Maini
Journal:  Best Pract Res Clin Rheumatol       Date:  2004-02       Impact factor: 4.098

3.  Preprocessing of oligonucleotide array data.

Authors:  Zhijin Wu; Rafael A Irizarry
Journal:  Nat Biotechnol       Date:  2004-06       Impact factor: 54.908

4.  Bioconductor: open software development for computational biology and bioinformatics.

Authors:  Robert C Gentleman; Vincent J Carey; Douglas M Bates; Ben Bolstad; Marcel Dettling; Sandrine Dudoit; Byron Ellis; Laurent Gautier; Yongchao Ge; Jeff Gentry; Kurt Hornik; Torsten Hothorn; Wolfgang Huber; Stefano Iacus; Rafael Irizarry; Friedrich Leisch; Cheng Li; Martin Maechler; Anthony J Rossini; Gunther Sawitzki; Colin Smith; Gordon Smyth; Luke Tierney; Jean Y H Yang; Jianhua Zhang
Journal:  Genome Biol       Date:  2004-09-15       Impact factor: 13.583

5.  Immunisation against heterologous type II collagen induces arthritis in mice.

Authors:  J S Courtenay; M J Dallman; A D Dayan; A Martin; B Mosedale
Journal:  Nature       Date:  1980-02-14       Impact factor: 49.962

6.  Impact of leukocytes and platelets in mediating hepatocyte apoptosis in a rat model of systemic endotoxemia.

Authors:  C Eipel; R Bordel; R M Nickels; M D Menger; B Vollmar
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2004-01-08       Impact factor: 4.052

7.  Expression of L-selectin, but not CD44, is required for early neutrophil extravasation in antigen-induced arthritis.

Authors:  Sándor Szántó; István Gál; Andrea Gonda; Tibor T Glant; Katalin Mikecz
Journal:  J Immunol       Date:  2004-06-01       Impact factor: 5.422

8.  Antigen-induced arthritis in mice. I. Induction of arthritis in various strains of mice.

Authors:  D Brackertz; G F Mitchell; I R Mackay
Journal:  Arthritis Rheum       Date:  1977-04

9.  Autoimmunity to type II collagen an experimental model of arthritis.

Authors:  D E Trentham; A S Townes; A H Kang
Journal:  J Exp Med       Date:  1977-09-01       Impact factor: 14.307

10.  Type II collagen-induced arthritis in mice. I. Major histocompatibility complex (I region) linkage and antibody correlates.

Authors:  P H Wooley; H S Luthra; J M Stuart; C S David
Journal:  J Exp Med       Date:  1981-09-01       Impact factor: 14.307

View more
  8 in total

Review 1.  The vasculature in rheumatoid arthritis: cause or consequence?

Authors:  Ewa M Paleolog
Journal:  Int J Exp Pathol       Date:  2009-06       Impact factor: 1.925

2.  Amebic monocyte locomotion inhibitory factor peptide ameliorates inflammation in CIA mouse model by downregulation of cell adhesion, inflammation/chemotaxis, and matrix metalloproteinases genes.

Authors:  Susana Godina-Gonzalez; Janette Furuzawa-Carballeda; Dolores Utrera-Barillas; Jorge Alcocer-Varela; Luis M Teran; Monica Vazquez-del Mercado; Yelda A Leal; Isabel Alvarado-Cabrero; Juan R Velazquez
Journal:  Inflamm Res       Date:  2010-06-27       Impact factor: 4.575

3.  Gene expression profiling and functional analysis of angiogenic markers in murine collagen-induced arthritis.

Authors:  Yvonne Raatz; Saleh Ibrahim; Marc Feldmann; Ewa M Paleolog
Journal:  Arthritis Res Ther       Date:  2012-07-20       Impact factor: 5.156

4.  Modulation of granulocyte-endothelium interactions by antileukoproteinase: inhibition of anti-type II collagen antibody-induced leukocyte attachment to the synovial endothelium.

Authors:  Bettina Sehnert; Philip Gierer; Saleh Ibrahim; Anja Kühl; Reinhard Voll; Kutty Selva Nandakumar; Rikard Holmdahl; Rupert Hallmann; Brigitte Vollmar; Harald Burkhardt
Journal:  Arthritis Res Ther       Date:  2006       Impact factor: 5.156

5.  Identification of blood biomarkers of rheumatoid arthritis by transcript profiling of peripheral blood mononuclear cells from the rat collagen-induced arthritis model.

Authors:  Jianyong Shou; Christopher M Bull; Li Li; Hui-Rong Qian; Tao Wei; Shuang Luo; Douglas Perkins; Patricia J Solenberg; Seng-Lai Tan; Xin-Yi Cynthia Chen; Neal W Roehm; Jeffrey A Wolos; Jude E Onyia
Journal:  Arthritis Res Ther       Date:  2006-01-10       Impact factor: 5.156

6.  Combining global genome and transcriptome approaches to identify the candidate genes of small-effect quantitative trait loci in collagen-induced arthritis.

Authors:  Xinhua Yu; Kristin Bauer; Dirk Koczan; Hans-Jürgen Thiesen; Saleh M Ibrahim
Journal:  Arthritis Res Ther       Date:  2007       Impact factor: 5.156

7.  Oral phosphatidylcholine pretreatment alleviates the signs of experimental rheumatoid arthritis.

Authors:  Gabor Eros; Saleh Ibrahim; Nikolai Siebert; Mihály Boros; Brigitte Vollmar
Journal:  Arthritis Res Ther       Date:  2009-03-18       Impact factor: 5.156

8.  T-614, a novel immunomodulator, attenuates joint inflammation and articular damage in collagen-induced arthritis.

Authors:  Fang Du; Liang-jing Lü; Qiong Fu; Min Dai; Jia-lin Teng; Wei Fan; Shun-le Chen; Ping Ye; Nan Shen; Xin-fang Huang; Jie Qian; Chun-de Bao
Journal:  Arthritis Res Ther       Date:  2008-11-19       Impact factor: 5.156

  8 in total

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