Skip to main content
Download PDF

Osteoprotegerin and tumor necrosis factor-related apoptosis-inducing ligand as prognostic factors in rheumatoid arthritis: results from the ESPOIR cohort

Arthritis Research & Therapy volume 17, Article number: 193 (2015) Cite this article

Abstract

Introduction

We previously reported that low ratio of osteoprotegerin (OPG) to tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) was associated with Disease Activity Score in 28 joints (DAS28) remission at 6 months in patients with early rheumatoid arthritis (RA). Here, we aimed to evaluate the value of baseline OPG/TRAIL ratio in predicting clinical and radiological outcomes in patients with early RA in the ESPOIR cohort.

Methods

OPG and TRAIL serum concentrations were assessed in the ESPOIR cohort patients. Patients with definite RA were included in this study. Patients were excluded if they had high erosion score at baseline (>90th percentile) or received biological therapy during the first 2 years of follow-up. Data were analyzed by univariate analysis and multivariate logistic regression to predict 1-year DAS28 remission and 2-year radiographic disease progression.

Results

On univariate analysis of 399 patients, OPG/TRAIL ratio at baseline was significantly lower in patients with than without remission at 1 year (p = 0.015). On multivariate logistic regression including age, gender, body mass index and DAS28, low OPG/TRAIL ratio was independently associated with remission at 1 year (odds ratio 1.68 [95 % confidence interval 1.01–2.79]). On univariate analysis, high OPG/TRAIL ratio at baseline was associated with rapid progression of erosion at 2 years (p = 0.041), and on multivariate logistic regression including age, anti-citrullinated protein antibody positivity and C-reactive protein level, OPG/TRAIL ratio independently predicted rapid progression of erosion at 2 years.

Conclusions

OPG/TRAIL ratio at baseline was an independent predictor of 1-year remission and 2-year rapid progression of erosion for patients with early rheumatoid arthritis. Thus, OPG/TRAIL ratio could be included in matrix prediction scores to predict rapid radiographic progression. Further confirmation in an independent cohort is warranted.

Introduction

Rheumatoid arthritis (RA) is a frequent autoimmune disease, with a prevalence of 0.3 to 1 % worldwide. Numerous therapeutic options include conventional synthetic disease-modifying anti-rheumatic drugs (DMARDs), tumor necrosis factor inhibitors, tocilizumab, abatacept or rituximab. Most patients primarily receive conventional synthetic DMARDs because early intensive therapy is not cost-effective [1]. However, a subgroup of patients is at risk of radiographic disease progression and has a low chance of achieving remission with conventional synthetic DMARDs. These patients usually have high levels of rheumatoid factor (RF) and high titers of anti-citrullinated protein antibodies (ACPA), very high disease activity and/or early radiographic joint damage [2]. Biomarkers beside these usual prognostic factors that could identify patients at risk of radiographic progression and inadequate response to conventional synthetic DMARDs would allow for more intensive therapy andameliorating the disease course in this targeted population.

The cytokine tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) was initially described for its ability to trigger cell death in a somewhat tumor-selective manner. The TRAIL system is probably one of the most complex members of the TNF family because of the large number of receptors to which TRAIL can bind but also because of the signaling pathways engaged. TRAIL can interact with five different receptors: four membrane-anchored receptors, TRAIL-R1 (DR4), -R2 (DR5), -R3 (DcR1) and -R4 (DcR2), and a soluble decoy receptor, osteoprotegerin (OPG). Because of the diversity of TRAIL receptors, multiple proprieties were described. TRAIL can trigger apoptosis as well as proliferation and differentiation depending on the cell type (reviewed in [3]). The first report linking TRAIL with arthritis came from a mouse study with a collagen-induced arthritis model [4, 5]. Studies investigating the role of TRAIL in RA mostly focused on the therapeutic potential of TRAIL, especially RA fibroblast-like synoviocytes (FLSs), because hyperplastic RA FLSs have tumor-like features [6]. However, we found that TRAIL induces apoptosis only in a subset of RA FLSs and induces proliferation in surviving cells [7]. This finding challenged the use of TRAIL for targeting hyperproliferative FLSs, and despite numerous reports describing the effect of TRAIL on RA, its role in pathogenesis is still not fully clarified [3].

OPG is also a decoy receptor for receptor activator of nuclear factor B ligand (RANKL) [8]. OPG has been demonstrated to be involved in bone erosion and bone remodeling [9], and it was recently shown that genetic variant in OPG is associated with progression of joint destruction in RA [10]. RANKL and its receptor RANK play a key role in regulating osteoclastogenesis. Indeed, RANKL stimulates differentiation of osteoclasts via RANK signaling. Competing with RANK for RANKL binding, OPG is able to prevent osteoclastogenesis activity [8, 11]. In addition, OPG inhibits TRAIL-induced apoptosis by binding to TRAIL [11]. Conversely, TRAIL blocks OPG-mediated inhibition of osteoclastogenesis. Thus, OPG and TRAIL may inhibit their respective biological functions.

Because the role of TRAIL in patients with RA was not well established, we performed a prospective pilot study to measure serum levels of OPG and TRAIL in patients with early RA (<2 years) and investigated their association with various clinical parameters [12]. Low OPG/TRAIL ratio at baseline was associated with remission (Disease Activity Score in 28 joints [DAS28] <2.6) at 6 months, which suggests that the ratio of OPG to TRAIL might be a predictive factor for remission in early RA [12]. In the present study, we evaluated the independent value of OPG/TRAIL ratio in predicting DAS28 remission at 1 year according to the European League Against Rheumatism (EULAR) criteria and rapid radiographic disease progression (at 2 years) to identify patients who would benefit from early intensive therapy. Patients were from a large and well-documented cohort of early RA, the Etude et Suivi des POlyarthrites Indifférenciées Récentes (ESPOIR) cohort.

Methods

ESPOIR cohort

The ESPOIR cohort is a prospective multicenter observational study of patients 18–70 years old who have early arthritis under the umbrella of the French Society for Rheumatology. The protocol of the ESPOIR cohort study was approved in July 2002 by the ethics committee of Montpellier University (number 020307). All patients gave their signed informed consent to be included in the study.

Patients were recruited if they had inflammatory arthritis in at least two swollen joints lasting for 6 weeks to 6 months, with the potential to develop into RA. The population and methods of the ESPOIR cohort are detailed elsewhere [13]. Treatment by rheumatologists followed the standard of care and patients were followed every 6 months during the first 2 years, then every year. At baseline and each visit, clinical and biological data relevant to the management of early arthritis were recorded. Patients underwent radiography of the hand, wrist (face) and foot (face and oblique) at baseline, then at 1 and 2 years. X-ray films were scored by use of the van der Heijde-modified Sharp score (mSharp score) [14] for radiographic disease progression.

The ESPOIR cohort included 813 patients. In this ancillary study, we included patients fulfilling the American College of Rheumatology-European League Against Rheumatism (ACR-EULAR) 2010 criteria for RA at inclusion. We excluded patients with a history of lymphoma and neoplasia (n = 13) because of a known relation between TRAIL and tumor genesis and those with the highest erosion scores (mSharp erosion score >90th percentile; n = 62). Indeed, radiographic erosion at baseline is a well-characterized factor of further radiographic progression [15], and the EULAR task force recommended prompt use of biological therapy in these rare cases [1]. The 90th percentile of mSharp erosion score corresponded to 4 points. We also excluded patients who received biological therapy in the first 2 years (n = 121) because it strongly affects radiographic disease progression.

Serum assays

Blood samples were taken for investigation of C-reactive protein (CRP) level and erythrocyte sedimentation rate (ESR). Serum samples were collected at enrollment and immediately stored at -80 °C in a single biologic resource centre. A central laboratory determined levels of anti-citrullinated cyclic peptide (anti-CCP) antibodies (anti-CCP2; DiaSorin, Saluggia [Vercelli], Italy; positive >50 U/ml) and rheumatoid factor (RF) (Ménarini France, Rungis Cedex, France; positive >9 IU/ml) with enzyme-linked immunosorbent assay (ELISA).

Determination of OPG and TRAIL serum levels

OPG and TRAIL serum levels were measured by using commercially available ELISA kits (human OPG Quantikine ELISA kit, R&D Systems, Minneapolis, MN, USA; and human TRAIL ELISA kit, Diaclone, Besançon, France) and expressed in pg/ml. RF depletion did not alter results for OPG or TRAIL concentrations (data not shown).

Radiographic disease progression

Rapid radiographic progression was defined by at least a 5 point per year increase in total mSharp score, which corresponds to a 10-point increase at 2 years. This cutoff has been previously used [16, 17]. Because erosion and joint-space narrowing are almost similar to total mSharp score, we defined rapid progression of erosion or rapid progression of joint-space narrowing as at least a 5-point increase in erosion score or joint-space narrowing score at 2 years.

Statistical analysis

The values of OPG and TRAIL showed a skewed distribution, and normality was obtained after natural logarithmic (log) transformation. OPG to TRAIL ratio (OPG/TRAIL ratio) was used as previously described [12]. Student t and chi-square tests were used to compare baseline characteristics for 1) patients with or without DAS28 remission at 1 year and 2) patients with or without rapid radiographic disease progression at 2 years (total mSharp score increase ≥10 or erosion score ≥5 or joint-space narrowing score ≥5). Odds ratios (ORs) were obtained by logistic regression, with 1-year DAS28 remission and 2-year rapid radiographic progression as dependent variables. All covariates associated at the 20 % level (p <0.20) on univariate analysis were included in the multivariate logistic regression model as potential confounders and selected by stepwise multiple regression. A receiver-operating characteristic (ROC) curve was plotted to identify a cutoff value of OPG/TRAIL ratio associated with 2-year rapid radiographic progression [18]. True-positive patients were those with high OPG/TRAIL ratio and rapid radiographic progression, and true-negative patients were those with low ratio OPG/TRAIL ratio and without rapid radiographic progression. The best possible OPG/TRAIL ratio threshold was determined by using the highest Youden Index [(specificity + sensitivity) − 1] [19]. Statistical analysis involved use of PASW v18 (SPSS Inc., Chicago, IL, USA).

Results

Patient characteristics

The characteristics of all RA patients included in ESPOIR cohort (fulfilling ACR-EULAR 2010 criteria) and the 399 patients included in this study are in Table 1. Briefly, patients included in this study and all ESPOIR cohort patients were similar except for total mSharp score because we excluded patients with the highest erosion score at baseline.

Table 1 Baseline characteristics of all patients with rheumatoid arthritis (RA) responding to 2010 ACR-EULAR criteria included in the ESPOIR cohort and RA patients included in this study
Full size table

Age, gender, DAS28 and OPG/TRAIL ratio are associated with DAS28 remission at 1 year

On univariate analysis, age, gender, DAS28 and OPG/TRAIL ratio at baseline differed between patients with and without DAS28 remission at 1 year (Table 2). Patients in remission were younger, less often female and had lower DAS28 at baseline than patients with active disease at 1 year. Moreover, body mass index and ESR were lower but not significantly for patients in remission than with active disease at 1 year (p = 0.06 and p = 0.07, respectively) (Table 2). Low OPG/TRAIL ratio (logOPG/TRAIL ratio <25th percentile) was associated with remission at 1 year (OR = 1.76 [95 % confidence interval (95 % CI) 1.11–2.81]) (Table 2). This association was mainly explained by OPG. Indeed, low OPG (Q <25e percentile versus ≥25e percentile) was associated with 1 year remission (OR = 1.76 [1.10–2.81], p = 0.017) whereas TRAIL was not. Of note, OPG/TRAIL ratio correlated with DAS28 at baseline (r = 0.10; p = 0.04).

Table 2 Association of main baseline characteristics of RA patients with DAS28 remission at 1 year (univariate analysis)
Full size table

Low OPG/TRAIL ratio independently predicts DAS28 remission at 1 year

On multivariate logistic regression, female sex was associated with DAS28 remission at 1 year (OR = 0.49 [95 % CI 0.28–0.86]) as was low DAS28 at baseline (OR = 0.71 [0.59–0.86]). ESR was not significantly associated (p = 0.922) (Table 3). Low logOPG/TRAIL ratio (<25th percentile) was associated with DAS28 remission at 1 year, independent of other factors (OR = 1.68 [1.01–2.79]) (Table 3). This association was mainly explained by OPG. Indeed, low OPG (Q <25e percentile versus ≥25e percentile) was associated with 1 year remission in multivariate model (OR = 1.67 [1.01–2.77]; p = 0.047) whereas TRAIL was not.

Table 3 Multivariate logistic regression analysis of factors predicting DAS28 remission at 1 year
Full size table

Of note, OPG/TRAIL ratio at baseline was also associated with DAS28 remission at year 2, although not significantly, in the univariate (p = 0.09) and multivariate model (p = 0.082; OR = 1.54 [0.95–2.59]).

RF, anti-CCP antibodies, CRP level, ESR and OPG/TRAIL ratio are associated with rapid radiographic disease progression at 2 years

On univariate analysis, RF and ACPA positivity as well as high CRP level and ESR at baseline were associated with rapid progression of total mSharp score at 2 years (Δtotal mSharp score ≥10, Δerosion mSharp score ≥5 or Δjoint-space narrowing mSharp score ≥5) (Table 4). Concerning total mSharp score, older age was associated with rapid radiographic progression. High OPG/TRAIL ratio (logOPG/TRAIL >75th percentile) was associated with rapid erosion progression (OR = 2.419 [95 % CI 1.136–5.152]) (Table 4).

Table 4 Association of main baseline characteristics of RA patients with rapid radiographic progression at 2 years (univariate analysis)
Full size table

This association was mainly explained by TRAIL with low TRAIL (Q <25th percentile versus Q ≥25th) associated with rapid erosion progression (OR = 2.76 [1.30–5.84]; p = 0.008) whereas OPG was not associated with radiographic progression.

OPG/TRAIL ratio is an independent predictor of rapid erosion progression (change in erosion mSharp score >5 at 2 years)

On multivariate analysis, RF, ESR and total Sharp score at baseline were not significantly associated with rapid erosion progression (p = 0.55, p = 0.21, p = 0.77, respectively) and were excluded from the analysis. Of note, total mSharp score was strongly associated with radiographic progression in all ESPOIR RA patients (p <0.001). Thus, excluding patients with the highest erosion scores at baseline, as we did in this study, removed any of the total mSharp score predictive value for rapid radiographic progression. ACPA positivity was highly associated with risk of rapid erosion progression (OR = 3.95 [95 % CI 1.26–12.4]) (Table 5). LogOPG/TRAIL ratio was independently associated with risk of rapid erosion progression (OR = 1.90 [1.03–3.52]) for each quartile increase (Table 5 and Fig. 1). This association was mainly explained by TRAIL with low TRAIL (Q <25th percentile versus Q ≥25th) associated with rapid erosion progression (OR = 2.57 [1.14–5.79]; p = 0.022) whereas OPG was not associated with radiographic progression in multivariate analysis.

Table 5 Multivariate logistic regression analysis of factors predicting rapid erosion progression (ΔM24–M0 erosion mSharp score >5)
Full size table
Fig. 1
figure 1

Frequency of rapid progression of erosion for each quartile increase of OPG/TRAIL ratio. Frequency of rapid progression of erosion (change in erosion mSharp score >5 at 2 years) in patients with rheumatoid arthritis at 2 years by baseline logarithmic ratio of quartiles of osteoprotegerin to tumor necrosis factor-related apoptosis-inducing ligand (logOPG/TRAIL) is shown

Full size image

Of note, on multivariate logistic regression, age, ACPA positivity and CRP level but not ESR, RF positivity and logOPG/TRAIL ratio were associated with rapid radiographic progression (total mSharp score).

Using ROC analysis, we determined that OPG/TRAIL ratio ≥1.198 was the best threshold to predict rapid radiographic progression (Fig. 2), with sensitivity 65 % and specificity 73 % and area under the ROC curve 0.65 ± 0.05 (p = 0.005).

Fig. 2
figure 2

Receiver operating characteristic (ROC) curve to determine the best threshold for OPG/TRAIL ratio to predict rapid erosions. Patients treated with biological therapy during the first 2 years and with radiographic evidence of damage at baseline were excluded. Osteoprotegerin to tumor necrosis factor-related apoptosis-inducing ligand (OPG/TRAIL) ratio (both values expressed in pg/ml). The star shows the 1.198 OPG/TRAIL ratio

Full size image

Discussion

We confirmed in a large cohort of early rheumatoid arthritis that low OPG/TRAIL ratio is associated with DAS28 remission at 1 year. In addition, high OPG/TRAIL ratio could predict rapid progression of erosion at 2 years independent of factors known to be associated with radiographic disease progression.

In this study, OPG level at baseline was correlated with disease activity and determined the association between OPG/TRAIL ratio and 1 year remission. OPG has proinflammatory effects that could be mediated by activation of the nuclear factor kappa B (NF-kB) pathway [20, 21], which suggests that OPG plays a role in RA inflammation. Because we found high OPG/TRAIL ratio associated with risk of rapid erosion progression mainly due to low TRAIL values, our results favor a protective effect of TRAIL on bone erosion in RA. This finding could be surprising because TRAIL neutralizes the OPG-inhibitory effect on osteoclastogenesis. However, TRAIL can also have a direct effect on osteoblasts and osteoclasts [3]. In vitro evidence suggests that TRAIL acts on bone remodeling. Indeed, TRAIL-induced apoptosis of osteoblasts differentiated from peripheral blood mononuclear cells in vitro and blocked the differentiation of osteoclasts [22–24]. Thus, in the context of RA, TRAIL could inhibit osteoclast differentiation, thus protecting against erosion.

In contrast, a few studies have investigated the effect of TRAIL on human chondrocytes in vitro [25], which suggests that TRAIL has a marginal impact on cartilage structure. These in vitro observations could suggest that TRAIL is more specifically associated with erosion than joint-space narrowing.

Identifying patients at high risk of radiographic disease progression is useful in daily practice for proposing more intensive therapy. OPG/TRAIL ratio can predict rapid progression of erosion but not rapid radiographic progression with total mSharp score. However, radiographic erosions are the most important parameter predicting long-term total mSharp score, better than joint-space narrowing [26].

The strength of this study is the large number of patients and its prospective design. One limitation is that patients received treatment according to routine care and not a standardized protocol. The evaluation of 2-year radiographic progression was performed under different therapeutics. Therefore, we cannot rule out the possibility of treatment confounders. To partially control for this confounding factor, we excluded patients who received biological therapy during this period. In addition, the relatively low sensitivity and specificity of OPG/TRAIL ratio in predicting rapid progression of erosion, leaves the possibility that our findings could be false positive. A replication in an independent cohort will be warranted. To predict the risk of rapid disease progression, some groups proposed matrix prediction scores [15, 27]. However, these tools need to be constructed with the utmost accuracy to predict rapid radiographic progression. Thus, OPG/TRAIL ratio may be an interesting parameter for inclusion in a matrix.

Conclusions

In conclusion, we found high OPG/TRAIL ratio associated with lack of disease remission in RA and with rapid progression of erosion. These results support a protective role of TRAIL on bone, probably mediated by its effects on osteoclast differentiation and apoptosis. Measuring serum OPG and TRAIL level to calculate the OPG/TRAIL ratio could help predict patients at high risk of radiographic disease progression.

Abbreviations

ACPA:

anti-citrullinated peptide antibodies

ACR:

American College of Rheumatology

CI:

confidence interval

CRP:

C-reactive protein

DAS28:

Disease Activity Score in 28 joints

DMARDs:

disease-modifying anti-rheumatic drugs

ELISA:

enzyme-linked immunosorbent assay

ESPOIR:

Etude et Suivi des POlyarthrites Indifférenciées Récentes

EULAR:

European League Against Rheumatism

ESR:

erythrocyte sedimentation rate

FLSs:

fibroblast-like synoviocytes

HAQ:

Health Assessment Questionnaire

mSharp score:

van der Heijde-modified Sharp score

OPG:

osteoprotegerin

OR:

odds ratio

RA:

rheumatoid arthritis

RANKL:

receptor activator of nuclear factor B ligand

RF:

rheumatoid factor

ROC:

receiver operating characteristic

TRAIL:

tumor necrosis factor-related apoptosis-inducing factor

References

  1. Smolen JS, Landewé R, Breedveld FC, Buch M, Burmester G, Dougados M, et al. EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2013 update. Ann Rheum Dis. 2014;73:492–509.

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  2. Meyer O, Labarre C, Dougados M, Goupille P, Cantagrel A, Dubois A, et al. Anticitrullinated protein/peptide antibody assays in early rheumatoid arthritis for predicting five year radiographic damage. Ann Rheum Dis. 2003;62:120–6.

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  3. Audo R, Combe B, Hahne M, Morel J. The two directions of TNF-related apoptosis-inducing ligand in rheumatoid arthritis. Cytokine. 2013;63:81–90.

    CAS  PubMed  Article  Google Scholar 

  4. Lamhamedi-Cherradi S-E, Zheng S-J, Maguschak KA, Peschon J, Chen YH. Defective thymocyte apoptosis and accelerated autoimmune diseases in TRAIL-/- mice. Nat Immunol. 2003;4:255–60.

    CAS  PubMed  Article  Google Scholar 

  5. Song K, Chen Y, Göke R, Wilmen A, Seidel C, Göke A, et al. Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) is an inhibitor of autoimmune inflammation and cell cycle progression. J Exp Med. 2000;191:1095–104.

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  6. Anel A, Bosque A, Naval J, Pineiro A, Larrad L, Alava MA, et al. Apo2L/TRAIL and immune regulation. Front Biosci J Virtual Libr. 2007;12:2074–84.

    CAS  Article  Google Scholar 

  7. Morel J, Audo R, Hahne M, Combe B. Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) induces rheumatoid arthritis synovial fibroblast proliferation through mitogen-activated protein kinases and phosphatidylinositol 3-kinase/Akt. J Biol Chem. 2005;280:15709–18.

    CAS  PubMed  Article  Google Scholar 

  8. Takahashi N, Udagawa N, Suda T. A new member of tumor necrosis factor ligand family, ODF/OPGL/TRANCE/RANKL, regulates osteoclast differentiation and function. Biochem Biophys Res Commun. 1999;256:449–55.

    CAS  PubMed  Article  Google Scholar 

  9. Schett G, Redlich K, Hayer S, Zwerina J, Bolon B, Dunstan C, et al. Osteoprotegerin protects against generalized bone loss in tumor necrosis factor-transgenic mice. Arthritis Rheum. 2003;48:2042–51.

    CAS  PubMed  Article  Google Scholar 

  10. Knevel R, de Rooy DPC, Saxne T, Lindqvist E, Leijsma MK, Daha NA, et al. A genetic variant in osteoprotegerin is associated with progression of joint destruction in rheumatoid arthritis. Arthritis Res Ther. 2014;16:R108.

    PubMed Central  PubMed  Article  Google Scholar 

  11. Vitovski S, Phillips JS, Sayers J, Croucher PI. Investigating the interaction between osteoprotegerin and receptor activator of NF-kappaB or tumor necrosis factor-related apoptosis-inducing ligand: evidence for a pivotal role for osteoprotegerin in regulating two distinct pathways. J Biol Chem. 2007;282:31601–9.

    CAS  PubMed  Article  Google Scholar 

  12. Audo R, Calmon-Hamaty F, Baeten D, Bruyer A, Combe B, Hahne M, et al. Mechanisms and clinical relevance of TRAIL-triggered responses in the synovial fibroblasts of patients with rheumatoid arthritis. Arthritis Rheum. 2011;63:904–13.

    CAS  PubMed  Article  Google Scholar 

  13. Combe B, Benessiano J, Berenbaum F, Cantagrel A, Daurès J-P, Dougados M, et al. The ESPOIR cohort: a ten-year follow-up of early arthritis in France: methodology and baseline characteristics of the 813 included patients. Joint Bone Spine. 2007;74:440–5.

    PubMed  Article  Google Scholar 

  14. Van der Heijde DM, van Leeuwen MA, van Riel PL, van de Putte LB. Radiographic progression on radiographs of hands and feet during the first 3 years of rheumatoid arthritis measured according to Sharp’s method (van der Heijde modification). J Rheumatol. 1995;22:1792–6.

    PubMed  Google Scholar 

  15. Visser K, Goekoop-Ruiterman YPM, de Vries-Bouwstra JK, Ronday HK, Seys PEH, Kerstens PJSM, et al. A matrix risk model for the prediction of rapid radiographic progression in patients with rheumatoid arthritis receiving different dynamic treatment strategies: post hoc analyses from the BeSt study. Ann Rheum Dis. 2010;69:1333–7.

    CAS  PubMed  Article  Google Scholar 

  16. Meyer M, Sellam J, Fellahi S, Kotti S, Bastard J-P, Meyer O, et al. Serum level of adiponectin is a surrogate independent biomarker of radiographic disease progression in early rheumatoid arthritis: results from the ESPOIR cohort. Arthritis Res Ther. 2013;15:R210.

    PubMed Central  PubMed  Article  Google Scholar 

  17. Tobón G, Saraux A, Lukas C, Gandjbakhch F, Gottenberg JE, Mariette X, et al. First-year radiographic progression as a predictor of further progression in early arthritis: results of a large national French cohort. Arthritis Care Res. 2013;65:1907–15.

    Article  Google Scholar 

  18. Halpern EJ, Albert M, Krieger AM, Metz CE, Maidment AD. Comparison of receiver operating characteristic curves on the basis of optimal operating points. Acad Radiol. 1996;3:245–53.

    CAS  PubMed  Article  Google Scholar 

  19. Greenhouse SW, Cornfield J, Homburger F. The Youden index: letters to the editor. Cancer. 1950;3:1097–101.

    CAS  PubMed  Article  Google Scholar 

  20. Nahidi L, Leach ST, Lemberg DA, Day AS. Osteoprotegerin exerts its pro-inflammatory effects through nuclear factor-κB activation. Dig Dis Sci. 2013;58:3144–55.

    CAS  PubMed  Article  Google Scholar 

  21. Bernardi S, Fabris B, Thomas M, Toffoli B, Tikellis C, Candido R, et al. Osteoprotegerin increases in metabolic syndrome and promotes adipose tissue proinflammatory changes. Mol Cell Endocrinol. 2014;394:13–20.

    CAS  PubMed  Article  Google Scholar 

  22. Colucci S, Brunetti G, Cantatore FP, Oranger A, Mori G, Pignataro P, et al. The death receptor DR5 is involved in TRAIL-mediated human osteoclast apoptosis. Apoptosis. 2007;12:1623–32.

    CAS  PubMed  Article  Google Scholar 

  23. Chamoux E, Houde N, L’Eriger K, Roux S. Osteoprotegerin decreases human osteoclast apoptosis by inhibiting the TRAIL pathway. J Cell Physiol. 2008;216:536–42.

    CAS  PubMed  Article  Google Scholar 

  24. Brunetti G, Oranger A, Mori G, Tamma R, Di Benedetto A, Pignataro P, et al. TRAIL is involved in human osteoclast apoptosis. Ann N Y Acad Sci. 2007;1116:316–22.

    CAS  PubMed  Article  Google Scholar 

  25. Pettersen I, Figenschau Y, Olsen E, Bakkelund W, Smedsröd B, Sveinbjörnsson B. Tumor necrosis factor-related apoptosis-inducing ligand induces apoptosis in human articular chondrocytes in vitro. Biochem Biophys Res Commun. 2002;296:671–6.

    CAS  PubMed  Article  Google Scholar 

  26. Courvoisier N, Dougados M, Cantagrel A, Goupille P, Meyer O, Sibilia J, et al. Prognostic factors of 10-year radiographic outcome in early rheumatoid arthritis: a prospective study. Arthritis Res Ther. 2008;10:R106.

    PubMed Central  PubMed  Article  Google Scholar 

  27. Vastesaeger N, Xu S, Aletaha D, St Clair EW, Smolen JS. A pilot risk model for the prediction of rapid radiographic progression in rheumatoid arthritis. Rheumatology. 2009;48:1114–21.

    CAS  PubMed  Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the Association pour la Recherche sur le Cancer (ARC), the Société Française de Rhumatologie (SFR).

We thank the French rheumatologists in the following rheumatology departments who referred their patients to the ESPOIR cohort: Amiens (P. Fardellone, P. Boumier), Bordeaux (T. Schaeverbecke), Brest (A. Saraux), Lille (R.M. Flipo), Montpellier (B. Combe), Paris-Bicêtre (X. Mariette), Paris-Bichat (O. Meyer), Paris-Cochin (M. Dougados), Paris-La Pitié (B. Fautrel), Paris-St Antoine (F. Berenbaum), Rouen (O. Vittecoq), Strasbourg (J. Sibilia), Toulouse (A. Cantagrel), and Tours (P. Goupille). We are grateful to N. Rincheval for data management and expert monitoring and to S. Martin for performing all the centralized assays of CRP, IgA and IgM RF, and anti-CCPantibodies. We also thank V. Devauchelle and C. Lukas for expert X-ray reading. We thank the biological resources center (Paris-Bichat, J. Benessiano) in charge of centralizing and managing biological data collection and all the investigators who recruited and followed patients (F. Berenbaum, Paris-Saint Antoine, M.C. Boissier, Paris-Bobigny, A. Cantagrel, Toulouse, B. Combe, Montpellier, M. Dougados, Paris-Cochin, P. Fardelonne and P. Boumier, Amiens, B. Fautrel, P. Bourgeois, Paris-La Pitié, R.M. Flipo, Lille, Ph. Goupille, Tours, F. Liote, Paris-Lariboisière, X. Le Loet et O Vittecoq, Rouen, X. Mariette, Paris-Bicêtre, O. Meyer, Paris-Bichat, A. Saraux, Brest, Th. Schaeverbeke, Bordeaux, J. Sibilia, Strasbourg).

An unrestricted grant from Merck Sharp and Dohme (MSD) was allocated for the first 5 years of the ESPOIR cohort. Two additional grants from the INSERM were obtained to support part of the biological database. The French Society for Rheumatology, Pfizer, Abbvie, Roche-Chugai also supported the ESPOIR cohort study.

Author information

Author notes

    Authors and Affiliations

    1. Department of Rheumatology, Lapeyronie Hospital, Montpellier University, 371 avenue doyen Giraud, 34295, Montpellier, France

      Rachel Audo, Claire Daien, Cédric Lukas, Bernard Combe & Jacques Morel

    2. Montpellier University, 163 rue Auguste Broussonnet, 34000, Montpellier, France

      Rachel Audo, Claire Daien, Laura Papon, Cédric Lukas, Michael Hahne, Bernard Combe & Jacques Morel

    3. Institut de Génétique Moléculaire de Montpellier, CNRS-UMR 5535, 1919 Route de Mende, 34293, Montpellier, France

      Rachel Audo, Claire Daien, Laura Papon, Michael Hahne, Bernard Combe & Jacques Morel

    4. Department of Rheumatology and CIC/CRB 1404, Rouen University Hospital, Inserm U 905, Institute for Research and Innovation in Biomedicine, 1, rue de Germont, 76031 Rouen, France

      Olivier Vittecoq

    5. Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands

      Michael Hahne

    Authors
    1. Rachel Audo
      View author publications

      You can also search for this author in PubMed Google Scholar

    2. Claire Daien
      View author publications

      You can also search for this author in PubMed Google Scholar

    3. Laura Papon
      View author publications

      You can also search for this author in PubMed Google Scholar

    4. Cédric Lukas
      View author publications

      You can also search for this author in PubMed Google Scholar

    5. Olivier Vittecoq
      View author publications

      You can also search for this author in PubMed Google Scholar

    6. Michael Hahne
      View author publications

      You can also search for this author in PubMed Google Scholar

    7. Bernard Combe
      View author publications

      You can also search for this author in PubMed Google Scholar

    8. Jacques Morel
      View author publications

      You can also search for this author in PubMed Google Scholar

    Corresponding author

    Correspondence to Jacques Morel.

    Additional information

    Competing interests

    The authors declare that they have no competing interests.

    Authors’ contributions

    RA participated in the design of the study, performed the immunoassays, participated in analysis and interpretation of the data, and drafted the manuscript. CD performed the statistical analysis of the study, participated in interpretation of the data and drafted the manuscript. LP performed the immunoassays and helped to revise the manuscript. CL participated in the analysis of the study and helped to revise the manuscript. MH participated in the design of the study and helped to revise the manuscript. OV participated in the ESPOIR cohort study and helped to revise the manuscript. BC participated in the design of the study, participated in the ESPOIR cohort study and revised the manuscript. JM participated in the design of the study, participated in the ESPOIR cohort study and revised the manuscript. All authors read and approved the manuscript.

    Rachel Audo and Claire Daien contributed equally to this work.

    Rights and permissions

    Reprints and Permissions

    About this article

    Verify currency and authenticity via CrossMark

    Cite this article

    Audo, R., Daien, C., Papon, L. et al. Osteoprotegerin and tumor necrosis factor-related apoptosis-inducing ligand as prognostic factors in rheumatoid arthritis: results from the ESPOIR cohort. Arthritis Res Ther 17, 193 (2015). https://doi.org/10.1186/s13075-015-0705-3

    Download citation

    • Received:

    • Accepted:

    • Published:

    • DOI: https://doi.org/10.1186/s13075-015-0705-3

    Keywords

    • Rheumatoid Arthritis
    • Early Rheumatoid Arthritis
    • Radiographic Progression
    • Erosion Score
    • Rheumatoid Arthritis FLSs

    Arthritis Research & Therapy

    ISSN: 1478-6362

    Contact us