Abstract
Angiogenesis and synoviocyte hyperplasia, called ‘pannus,’ are pathologic hallmarks of rheumatoid arthritis (RA). To determine the clinical significance of angiogenic cytokines in RA, the levels of pro-angiogenic cytokines, including VEGF, placenta growth factor (PlGF), and IL-6, were measured in the synovial fluid (SF, n = 54) and sera of RA patients (n = 157) using ELISA. Patients (n = 103) with disease activity score 28 (DAS28) > 3.2, which indicates moderate to high RA activity, underwent follow-up blood sampling at 6 months after treatment with conventional disease-modifying anti-rheumatic drugs (c-DMARD) or biologic DMARD (b-DMARD) including an anti-TNFα antibody, an anti-IL-6 antibody, and abatacept. Ultrasonography (US) was performed on affected joints to define the synovitis severity at the time of sampling. Consequently, in the SF of RA patients, PlGF and IL-6 levels correlated well with synovitis severity determined by US. In RA sera, VEGF and IL-6 levels were elevated in proportion to synovitis severity, correlating with conventional markers for disease activity, including ESR, CRP, and DAS28. In c-DMARD users (n = 53), serially monitored levels of serum VEGF, IL-6, erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP) all decreased in good and moderate responders but not in nonresponders. In b-DMARD users (n = 49), only serum VEGF well represented the treatment response, while CRP nonspecifically decreased irrespective of the treatment outcome. By multivariable analysis, serum ΔVEGF, but not ΔESR or ΔCRP, was an independent factor associated with good and moderate responses to DMARD. In summary, the angiogenic cytokines PlGF and VEGF represent the synovitis severity of RA assessed by US. In patients receiving b-DMARD, serum VEGF may be more valuable than CRP in reflecting the treatment response.
Subject terms: Rheumatoid arthritis, Diagnostic markers, Autoimmune diseases
Rheumatoid arthritis: growth factor shows diagnostic potential
A growth factor implicated in the development of new blood vessels could serve as an indicator of disease severity and treatment response in people with rheumatoid arthritis (RA). A team led by Wan-Uk Kim from the Catholic University of Korea, Seoul, South Korea, and Jingchun Jin from Yanbian University Hospital, Yanji, China, tested RA patients for signaling proteins that direct the formation of blood vessels. They found several proteins whose levels, either in blood or joint fluid, tracked closely with the severity of joint inflammation. The blood levels of only one protein, vascular endothelial growth factor (VEGF), reliably dropped in those who responded favorably to drug treatments but not in those who derived little benefit from anti-rheumatic therapy. The findings highlight the diagnostic potential of blood testing for VEGF as a biomarker of RA activity.
Introduction
Rheumatoid arthritis (RA) is pathologically characterized by the abnormal proliferation of synoviocytes and extensive angiogenesis, called pannus formation1. In particular, as a major component of the invasive pannus, angiogenesis is believed to be an essential step for the abnormal proliferation of synoviocytes and perpetuation of chronic inflammation by supplying oxygen and nutrients to the tissue and by recruiting immune cells to inflamed sites2, respectively. In RA, increased angiogenesis is tightly linked to hypoxic conditions within joints3–7. Angiogenesis is mediated by a number of proangiogenic factors, including growth factors, cytokines, and adhesion molecules. A blockade of angiogenesis can ameliorate the development of experimental arthritis in mice, indicating that such pathologic processes can be a therapeutic target for RA8.
Vascular endothelial growth factor (VEGF), a representative angiogenic cytokine, can strongly induce endothelial cell activation and proliferation9,10. VEGF and its receptors are highly expressed in RA synovial tissues. Their expression levels parallel the degree of synovial angiogenesis11. VEGF concentrations are also increased in both the synovial fluid (SF) and serum of RA patients12–16. Interestingly, serum VEGF levels are correlated with inflammatory parameters for the disease activity of RA, including erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and disease activity score 28 (DAS28)14–18. We have previously demonstrated that VEGF165 confers RA synoviocyte apoptotic resistance19, providing important implications for the abnormal growth of synoviocytes, called pannus formation.
Placenta growth factor (PlGF) is a homolog of VEGF that can enhance an angiogenic switch in diseases. PlGF is expressed in RA synovium and SF at high levels20,21. It is primarily secreted from RA synoviocytes upon stimulation with pro-inflammatory cytokines21. In addition to its role in neovascularization, PlGF can directly increase interleukin (IL)-6 and tumor necrosis factor (TNF)-α production by RA monocytes after binding to its receptor FMS-like tyrosine kinase (Flt)-1. PlGF also promotes proliferation, survival, migration, and invasion of RA synoviocytes22, suggesting its role in the formation of the invasive pannus. We have recently demonstrated that PlGF secreted from TH17 cells not only increases angiogenesis but also shifts naive T cells toward TH17 cell polarization, thereby critically contributing to RA pathogenesis23. Together, PlGF shows pleotropic actions for RA pathology possibly by inducing angiogenesis, synoviocyte proliferation, and TH17 cell generation.
The paradigm of RA treatment has changed with the introduction of biologic disease-modifying anti-rheumatic drugs (b-DMARD) and, more recently, targeted synthetic DMARD (ts-DMARD). However, treatment responses to b-DMARD vary among patients. Thus, effective biomarkers that can reflect the treatment response are needed. ESR and CRP are blood markers that are currently used. However, they are not always reliable, particularly in patients receiving tocilizumab24,25. Therefore, there are unmet needs for alternative biomarkers that can adequately represent disease activity, synovitis severity, and therapeutic responses. Given that fibrovascular hyperplasia called ‘pannus’ is a pathologic hallmark of RA, pannus-related molecules could be reliable biomarkers to address such unmet needs. In this study, we postulated that proangiogenic proteins secreted from synoviocytes could be surrogate biomarkers representing disease activity and severity of RA. To this end, we measured the concentrations of VEGF, PlGF, soluble Flt-1 (sFlt-1), and IL-6 in the SF and/or sera of RA patients and compared them with synovitis severity defined by ultrasonography (US) and therapeutic responses to conventional DMARD (c-DMARD) versus b-DMARD.
Patients and methods
Study population and SF and serum sampling
The study population and treatment regimens for patients are summarized in Supplementary Fig. 1. RA patients who fulfilled the 2010 ACR/EULAR classification criteria26 and osteoarthritis (OA) controls were recruited from August 2015 to December 2018. SF samples were obtained from RA patients (n = 54) and OA controls (n = 30) who underwent arthrocentesis on their swollen joints (Supplementary Table 1). Serum samples were also obtained from RA patients (n = 157) and OA controls (n = 50) at baseline (Supplementary Table 2). Among the 157 RA patients, those with moderate or high disease activity (n = 103, DAS28 > 3.2) underwent follow-up serum sampling at 6 months after treatment with c-DMARD (n = 53), b-DMARD (n = 49), or ts-DMARD (n = 1), which was randomly assigned (Supplementary Table 2). This study was approved by the Institutional Review Board of Catholic Medical Center, the Catholic University of Korea (approval number: KC14TIMI0697). Written informed consent was obtained from all study participants.
VEGF, PlGF, sFlt-1, and IL-6 measurements
VEGF, PlGF, and IL-6 concentrations, which are major proangiogenic factors primarily secreted from proliferating synoviocytes10,21,27, were measured from the SF and sera of both RA and OA patients using an enzyme-linked immunosorbent assay (ELISA) as described previously23. As a control, the levels of sFlt-1, an anti-angiogenic molecule produced by synoviocytes23, were also determined in the same samples by ELISA. The detection limit of ELISA was 10 pg/ml for VEGF, PlGF, IL-6, and sFlt-1.
Sonographic evaluation of joints for synovitis severity
Musculoskeletal US was performed for all RA patients (n = 54) whose SF samples were obtained. In addition, US was also carried out for multiple joints involved (including proximal interphalangeal joints, metacarpophalangeal joints, and wrists) at the time of blood sampling in RA patients (n = 68). The synovitis score was determined by gray-scale US (GSUS) and power-Doppler US (PDUS) images (Supplementary Fig. 2). GSUS scores (range, 0–3) were defined by the degree of synovial hypertrophy of the joints as follows: grade 0 = no synovial hypertrophy, grade 1 = minimal synovial hypertrophy, grade 2 = moderate synovial hypertrophy, and grade 3 = evere synovial hypertrophy. PDUS scores (range, 0–3) were assessed by the extent of vascularity within the synovium of joints as follows: grade 0 = no Doppler activity, grade 1 = minimal Doppler activity, grade 2 = moderate Doppler activity (<50% of the background synovium), and grade 3 = severe Doppler activity (>50% of the background synovium)28,29. Patients were considered to have active synovitis when GSUS was ≥2 or PDUS was ≥1.
Assessment of clinical parameters
The tender joint count (TJC), swollen joint count (SJC), ESR level, and CRP level of RA patients were examined at baseline and follow-up. Data on serologic markers, including rheumatoid factor (RF) and anti-citrullinated peptide antibodies (ACPA), were obtained. Radiographic examination of hands and feet was performed. The degree of joint space narrowing and erosion was scored according to the van der Heijde-modified Sharp score (vdH Sharp score)30. The disease activity of RA patients was determined based on the disease activity score 28ESR (DAS28ESR) as follows: DAS28 ≤ 3.2 = low disease activity; DAS28 > 3.2 = moderate or high disease activity31. European League Against Rheumatism (EULAR) response criteria were employed to assess the treatment response32.
Statistical analysis
Comparison of continuous variables was examined by Student’s unpaired t test or Mann–Whitney U test. Comparison of categorical variables was performed using the Chi-square test or Fisher’s exact test. Correlations between two variables were analyzed using Pearson’s correlation test. A paired t test was employed to examine the difference between baseline and follow-up values of the same subject. Simple and multiple logistic regression analyses were performed to investigate factors associated with a good or moderate response to the treatment. Multiple logistic regression was performed for variables with p values less than 0.05 in simple logistic regression. All statistical analyses were conducted using IBM SPSS Statistics 20 (IBM Corp., Armonk, NY, USA). Graphs were drawn using GraphPad Prism 5 (GraphPad Software, San Diego, CA, USA). Heatmap correlation images were drawn using the package ‘corrplot’ from R software 3.5.1 (R Project, Vienna, Austria).
Results
Angiogenic cytokine PlGF and IL-6 levels in the SF correlate with synovitis severity and systemic inflammatory response in RA
As reported previously12,21,33, the concentrations of VEGF, PlGF, sFlt-1, and IL-6 were significantly higher in the SF of RA patients than in that of OA controls (Fig. 1a). We then tested whether the levels of VEGF, PlGF, and IL-6, as pro-angiogenic cytokines mainly secreted from synoviocytes, could represent local and/or systemic inflammatory responses in RA patients. As shown in Fig. 1b and Supplementary Table 1, PlGF concentrations in the SF (n = 54) were well correlated with WBC counts (r = 0.466 and p = 0.001) and % neutrophils in the SF, as well as with blood levels of ESR and CRP as markers for systemic inflammatory responses in RA. Levels of sFlt-1, an anti-angiogenic protein used as a control23, also had a positive relationship with inflammatory markers in the blood (r = 0.364 and p = 0.007 for ESR, r = 0.496 and p < 0.001 for CRP). However, VEGF and IL-6 levels in the SF failed to correlate with ESR and CRP, although they showed positive correlations with WBC counts and % neutrophils in the SF (Fig. 1b).
We next questioned whether angiogenic cytokines could reflect the synovitis severity determined by US in RA patients. The results showed that PlGF and IL-6 concentrations in the SF of patients with moderate to severe synovial hypertrophy on GSUS (grades 2 and 3) were higher than those in the SF of patients with no or mild synovial hypertrophy on GSUS (grades 0 and 1) (Fig. 2a). On PDUS examination, the PlGF concentration was also greater in patients with increased vascularity (grade 1 to 3) than in those without (grade 0) (Fig. 2b), whereas the other three molecules did not show significant differences according to the presence of increased vascularity. When we divided patients into two groups depending on the presence of active synovitis (GSUS ≥ 2 or PDUS ≥ 1), the levels of PlGF and IL-6, but not VEGF or sFlt-1, were significantly higher in patients with active synovitis than in those with inactive synovitis (Fig. 2c).
Taken together, these results demonstrate that the levels of PlGF and IL-6, as pro-angiogenic factors primarily produced by proliferating synoviocytes, are elevated in the SF of RA patients. Such levels can represent the synovitis severity, as well as the local and systemic inflammatory status of RA patients.
Circulating levels of VEGF and IL-6, but not PlGF, correlate with disease activity and severity of RA
Serum samples were obtained from 157 RA patients (54 patients with low disease activity and 103 patients with moderate or high disease activity). The baseline demographic and disease characteristics of these patients are summarized in Supplementary Table 2. We first confirmed that serum VEGF, PlGF, sFlt-1, and IL-6 concentrations were increased in RA patients (Fig. 3a). As expected, in comparison with parameters for RA disease activity, VEGF and IL-6 levels were correlated with TJC, SJC, ESR, CRP, and DAS28 (Fig. 3b), consistent with earlier reports16–18,34,35. In addition, as shown in the heat map and correlation plots in Fig. 3b, serum VEGF and IL-6 levels were positively correlated with both GSUS and PDUS scores. Moreover, serum VEGF and IL-6 concentrations were higher in patients with moderate to severe synovial hypertrophy on GSUS (Fig. 3c) and in patients with increased vascularity on PDUS than in those without (Fig. 3d). Moreover, these higher concentrations were significantly associated with the presence of active synovitis (Fig. 3e).
In sharp contrast with the SF data, the serum PlGF level did not correlate with TJC, SJC, CRP, or DAS28 (Fig. 3b). No significant difference in serum PlGF concentration was found according to sonographic severity. Serum levels of sFlt-1, an anti-angiogenic protein23, showed only modest correlations with ESR and DAS28 and failed to show any relationship with TJC, SJC, CRP, or synovitis severity on GSUS or PDUS.
Collectively, these results indicate that serum levels of VEGF and IL-6, but not serum PlGF or serum sFlt-1, could represent synovial proliferation and hypervascularity on US and reflect the systemic inflammatory status of RA assessed by TJC, SJC, ESR, CRP, and DAS28.
Serum VEGF is better at reflecting the treatment response to b-DMARD than ESR or CRP
We next investigated whether the serum angiogenic factors VEGF and IL-6 could be used as indicators of the treatment response since they correlated well with the disease activity of RA. To this end, serum VEGF and IL-6, as well as ESR and CRP were serially monitored in active RA patients whose DAS28 score was >3.2 at study entry and then compared with EULAR response criteria. The baseline characteristics of c-DMARD users (n = 53) and b-DMARD users (n = 49) are described in Supplementary Table 3. One patient treated with ts-DMARD was excluded from the analysis. Age, sex, BMI, and autoantibody status were similar between the two groups. However, ESR and DAS28 at baseline were higher in b-DMARD users than in c-DMARD users.
As a result, in good and moderate responders with c-DMARD, serum VEGF and IL-6, as well as ESR and CRP significantly decreased after 6 months of treatment (Fig. 4a–c, and d) but were not altered in nonresponders. These data indicate that changes in the pro-angiogenic cytokines VEGF and IL-6, in addition to ESR and CRP, could well reflect the treatment response to c-DMARD, thus discriminating the responder group from the nonresponder group. In support of this finding, ΔDAS28 was positively correlated with ΔESR and ΔCRP, as well as with ΔVEGF and ΔIL-6 (Supplementary Fig. 3a).
In b-DMARD users, serum VEGF levels significantly decreased in good or moderate responders and showed no significant change in nonresponders, similar to the results in c-DMARD users (Fig. 4e). However, serum IL-6 levels were not significantly changed in responders or nonresponders (Fig. 4f), indicating no role of IL-6 in reflecting the treatment response to b-DMARD. This absent role of IL-6 seemed to be associated with the use of tocilizumab, an antibody against the IL-6 receptor, because subgroup analysis demonstrated that ΔIL-6 showed no association with ΔDAS28 in patients treated with tocilizumab but not in those treated with non-tocilizumab biologics (Supplementary Fig. 3b, c, d). Interestingly, although CRP levels considerably decreased in responders as expected, they were also reduced in nonresponders after b-DMARD treatment (Fig. 4g). The ESR level tended to show a similar pattern (Fig. 4h).
Taken together, our data suggest that, in contrast with the c-DMARD subgroup, in patients receiving b-DMARD, CRP can be nonspecifically decreased irrespective of the therapeutic response and that ΔVEGF might be a good alternative to assess the treatment response in a specific subgroup of biologics users.
Change in serum VEGF level is an independent factor associated with a good and moderate response to DMARD
Based on our finding that serum VEGF, but not CRP, well represented the disease activity and treatment response in both c-DMARD- receiving and b-DMARD-receiving patients, we further investigated whether VEGF could serve as an independent indicator of the therapeutic response. Baseline characteristics of good/moderate responders (n = 82) and nonresponders (n = 21) are described in Supplementary Table 4. The proportions of cDMARD users and bDMARD users did not significantly differ between good/moderate responders and nonresponders. Baseline VEGF levels were similar between good/moderate responders and nonresponders. However, when laboratory parameters and serum ΔVEGF levels (serum VEGF concentration at baseline – VEGF concentration at 6 months after treatment with DMARD) were compared between the two groups, good/moderate responders had older age, higher ΔESR, and higher ΔVEGF than nonresponders (Supplementary Table 4). These data suggest that these parameters, including changes in VEGF levels, could serve as surrogate biomarkers to reflect the treatment response to DMARD.
Multivariable logistic regression analysis was performed to assess whether serum ΔVEGF could independently reflect the treatment response to DMARD. The multivariable logistic model consisted of age, ΔESR/ΔCRP, and ΔVEGF, which showed statistical significance in the univariable analysis. As a result, ΔVEGF was found to be an independent factor associated with a good/moderate response to DMARD with an odds ratio of 3.55. Of note, ΔESR and ΔCRP levels failed to show a significant predictive power (Table 1), consistent with our finding of a nonspecific reduction of CRP by b-DMARD irrespective of clinical outcome (Fig. 4g, h).
Table 1.
Variable | Univariable | Multivariable | ||
---|---|---|---|---|
Unadjusted OR | p | Adjusted OR | p | |
Age | 1.05 (1.01–1.10) | 0.026 | 1.05 (0.99–1.12) | 0.056 |
BMI ≥ 25 | 1.46 (0.44–4.84) | 0.533 | ||
Duration of disease, years | 1.02 (0.96–1.08) | 0.537 | ||
Abnormal ESR | 0.60 (0.18–1.99) | 0.406 | ||
Abnormal CRP | 1.02 (0.37–2.82) | 0.972 | ||
Baseline DAS28 | 1.60 (0.93–2.74) | 0.088 | ||
High-positive RF | 0.87 (0.32–2.39) | 0.782 | ||
High-positive ACPA | 0.34 (0.07–1.59) | 0.170 | ||
vdH Sharp score | 0.99 (0.98–1.00) | 0.132 | ||
Glucocorticoid use | 2.48 (0.93–6.65) | 0.071 | ||
b-DMARD use | 1.63 (0.61–4.34) | 0.332 | ||
Abatacept use | 0.58 (0.13–2.65) | 0.480 | ||
Tocilizumab use | 2.13 (0.38–11.83) | 0.389 | ||
High VEGF | 1.95 (0.65–5.84) | 0.235 | ||
High IL-6 | 2.33 (0.87–6.23) | 0.091 | ||
High ΔVEGF (baseline-F/U) | 4.67 (1.70–12.82) | 0.003 | 3.55 (1.15–10.93) | 0.027 |
High ΔIL-6 (baseline-F/U) | 1.88 (0.71–5.02) | 0.207 | ||
High ΔESR (baseline-F/U) | 4.21 (1.53–11.54) | 0.005 | 2.27 (0.72–7.10) | 0.160 |
High ΔCRP (baseline-F/U) | 8.93 (1.14–70.26) | 0.038 | 5.76 (0.68–48.62) | 0.108 |
Variables with p values less than 0.05 were entered into multivariable logistic regression analysis.
OR odds ratio, BMI body mass index, ESR erythrocyte sedimentation rate, CRP C-reactive protein, DAS28 disease activity score 28, RF rheumatoid factor, ACPA anti-citrullinated peptide antibodies, vdH van der Heijde, bDMARD biologic disease-modifying anti-rheumatic drug, VEGF vascular endothelial growth factor; IL-6 interleukin-6, and F/U follow-up.
Values in bold indicate statistical significance (p < 0.05).
Discussion
In this study, we postulate that angiogenic cytokines secreted from RA synoviocytes could specifically represent a ‘pannus’ pathology and well reflect the pathologic and inflammatory status of RA when they overflow into the periphery. We tested whether the levels of the angiogenic cytokines VEGF, IL-6, and PlGF, as major pro-angiogenic cytokines in RA, could reflect the synovitis severity, disease activity, and treatment response in RA patients. We demonstrated that the expression levels of PlGF and VEGF were elevated in proportion to synovitis severity as assessed by GSUS and/or PDUS. In c-DMARD users, serially monitored serum VEGF, IL-6, ESR, and CRP levels all decreased in good and moderate responders but were not significantly changed in nonresponders. In contrast, in b-DMARD users, only changes in serum VEGF well represented the treatment response, having a better value than ESR and CRP. Importantly, changes in serum VEGF were an independent factor associated with good and moderate responses. Taken together, our data suggest that PlGF and VEGF, as angiogenic cytokines, are correlated with synovitis severity and disease activity in RA patients and that serum VEGF has a better value to represent treatment response than ESR and CRP.
Musculoskeletal US has become a useful diagnostic tool in clinical practice and research because it well represents joint pathology without performing invasive methods36. US can monitor the clinical outcomes of a therapy. Improvement in the power Doppler grade, along with the improvement in disease activity, has been found after treatment with TNF-α inhibitors37–39. In addition, power Doppler grade at baseline may help predict relapse in RA patients who have achieved clinical remission40–42. In this study, VEGF, PlGF, and IL-6 were selected for comparison with US findings of joints because they are all pro-angiogenic factors predominantly secreted from hypertrophic synoviocytes. We found that in the synovial compartment, PlGF and IL-6 levels, but not VEGF or sFlt-1, were higher with increasing vascularity on PDUS and synovial hypertrophy on GSUS. Interestingly, in the peripheral compartment, serum VEGF and IL-6 levels increased in proportion to synovitis severity on US, correlating with conventional disease activity markers including ESR, CRP, and DAS28, whereas serum PlGF failed to show such correlation, which is consistent with earlier reports showing that PDUS grade correlates with serum VEGF43,44. It is unclear why serum PlGF did not reflect RA activity, but this finding may be associated with the very low level of PlGF in RA sera in contrast to that in RA SF; indeed, serum PlGF was detectable (above 10 pg/ml) in only 18 (11.5%) out of 157 RA patients tested, whereas serum VEGF was measurable in the majority of the RA patients (100 patients, 63.7%). Considering that fibrovascular hyperplasia is a characteristic pathology of RA, these results suggest that the proangiogenic cytokines PlGF and VEGF can be used as surrogate markers for synovial pathology, although their clinical roles are different depending on body compartment.
One of the major goals of RA treatment is to maintain minimal residual disease or complete remission45. The blood markers ESR and CRP have been widely used for RA assessment. However, they do not always precisely reflect the disease activity or treatment response46–49. For example, ESR can be influenced by anemia and age46,47. Importantly, ESR and CRP are nonspecifically elevated by infection, and they remain normal in more than a third of RA patients at presentation irrespective of disease activity48,49. Moreover, CRP may not be a reliable biomarker in patients with anti-IL-6 blocking agents because IL-6 is crucial to the hepatic biosynthesis of CRP48,49. Although DAS28 has been widely used for RA assessment, it is also based on ESR or CRP measurements. In these instances, there is an unmet need for the identification of reliable biomarkers for more precisely assessing the disease activity and treatment response in RA patients, particularly in patients treated with biologics.
In this study, serum VEGF and IL-6 levels were correlated with TJC, SJC, ESR, CRP, and DAS28, consistent with previous studies demonstrating the association of serum VEGF with RA activity measures, including acute phase reactants and DAS2816–18,34. Serum VEGF is reduced in RA patients who experience clinical remission after c-DMARD treatment15, suggesting that it is an indicator of treatment response. However, it remains to be determined whether changes in serum VEGF levels could discriminate responders from nonresponders to b-DMARD. Moreover, no trial has been conducted to compare the diagnostic performance of the conventional biomarker ESR and CRP between c-DMARD and b-DMARD users. In a prospective trial, we found that in c-DMARD users, serum VEGF, IL-6, CRP, and ESR were all reduced in correlation with the treatment response. In b-DMARD-treated patients, serum VEGF also decreased in good or moderate responders but not in nonresponders, indicating that serum VEGF could help distinguish responders from nonresponders among b-DMARD users. In contrast, ESR and CRP were nonspecifically decreased in b-DMARD users irrespective of the clinical outcome. Serum IL-6 levels were also irrelevant to the responsiveness to b-DMARD. Taken together, these data suggest that serum VEGF could be an alternative biomarker for adequately monitoring the therapeutic response to DMARD and that the diagnostic value of CRP should be readjusted in patients treated with b-DMARD.
Our study population is unique in that it consisted of similar numbers of c-DMARD cases (n = 53) and b-DMARD cases (n = 49). In a multivariable logistic regression analysis performed in this population, we found that ΔVEGF was an independent factor associated with a good or moderate response to DMARD. Notably, ΔESR and ΔCRP levels failed to show statistical significance in relation to the treatment response. These results, together with our findings of nonspecific reduction of CRP by b-DMARD, suggest that serum VEGF may be better at reflecting the treatment response to DMARD, particularly to b-DMARD, than ESR or CRP. In this regard, the concept of DAS28 using serum VEGF could be introduced. If a new composite score, such as DAR28VEGF, is reasonably established, it would be interesting to test its diagnostic performance in comparison to that of DAS28ESR and DAS28CRP.
A limitation of this study was that the number of patients for each group of c-DMARD and b-DMARD cases was relatively too small to reach a strong conclusion. Moreover, the study population of the b-DMARD subgroup was heterogeneous, consisting of 19 patients treated with tocilizumab, 10 patients treated with TNF-α inhibitors, 19 patients treated with abatacept, and 1 patient treated with rituximab. Therefore, it was inconclusive which kind of b-DMARD primarily contributed to our conclusion. Further studies on a large scale are required to address this issue. Notwithstanding those limitations, our investigation has strength in that it is the first proof-of concept study demonstrating that angiogenic cytokines PlGF and VEGF are surrogate markers that represent the sonographic severity of synovial pathology. Moreover, this is the first study suggesting that VEGF might be better at representing the treatment response than ESR or CRP, particularly in RA patients treated with b-DMARD.
In summary, in a single-center prospective study, we found that the angiogenic cytokines PlGF and VEGF, which are major pro-angiogenic cytokines secreted from synoviocytes, were elevated in the SF and sera of RA patients and that their expression was increased with increasing synovitis severity. Serum VEGF levels correlated with disease activity and treatment response in both c-DMARD-treated and b-DMARD-treated patients. In contrast, the traditional biomarker CRP was nonspecifically reduced by b-DMARD irrespective of the clinical outcome. On the other hand, a change in serum VEGF was an independent factor representing the therapeutic response to DMARD. Conclusively, our results suggest that the diagnostic value of CRP should be reconsidered in the era of biologics and that serum VEGF could be an alternative to ESR and CRP, which are the two widely accepted biomarkers of RA activity.
Supplementary information
Acknowledgements
We thank members of the Center for Integrative Rheumatoid Transcriptomics and Dynamics at the Catholic University of Korea for their assistance. This work was supported by grants (No. 2015R1A3A2032927 to W.U.K., 2018R1D1A1B07045491 to J.H.K., and 2019R1A2C2010897 to S.A.Y.) from the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology.
Author contributions
J.W.K., J.S.K., and S.L. performed the experiments. W.U.K. designed the experiments and analyzed the data. J.W.K. and J.H.K. helped analyze the data. J.W.K. and W.U.K. drafted the paper. J.H.K., J.J., and W.U.K. revised the paper. All authors commented on the manuscript.
Conflict of interest
The authors declare that they have no conflict of interest.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Jingchun Jin, Email: jingchun680928@163.com.
Wan-Uk Kim, Email: wan725@catholic.ac.kr.
Supplementary information
Supplementary information accompanies this paper at 10.1038/s12276-020-0443-8.
References
- 1.You S, Koh JH, Leng L, Kim WU, Bucala R. The tumor-like phenotype of rheumatoid synovium: molecular profiling and prospects for precision medicine. Arthritis Rheumatol. 2018;70:637–652. doi: 10.1002/art.40406. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Marrelli A, et al. Angiogenesis in rheumatoid arthritis: a disease specific process or a common response to chronic inflammation? Autoimmun. Rev. 2011;10:595–598. doi: 10.1016/j.autrev.2011.04.020. [DOI] [PubMed] [Google Scholar]
- 3.Jackson JR, Minton JA, Ho ML, Wei N, Winkler JD. Expression of vascular endothelial growth factor in synovial fibroblasts is induced by hypoxia and interleukin 1beta. J. Rheumatol. 1997;24:1253–1259. [PubMed] [Google Scholar]
- 4.Berse B, et al. Hypoxia augments cytokine (transforming growth factor-beta (TGF-beta) and IL-1)-induced vascular endothelial growth factor secretion by human synovial fibroblasts. Clin. Exp. Immunol. 1999;115:176–182. doi: 10.1046/j.1365-2249.1999.00775.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Hitchon C, et al. Hypoxia-induced production of stromal cell-derived factor 1 (CXCL12) and vascular endothelial growth factor by synovial fibroblasts. Arthritis Rheum. 2002;46:2587–2597. doi: 10.1002/art.10520. [DOI] [PubMed] [Google Scholar]
- 6.Akhavani MA, et al. Hypoxia upregulates angiogenesis and synovial cell migration in rheumatoid arthritis. Arthritis Res. Ther. 2009;11:R64. doi: 10.1186/ar2689. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Konisti S, Kiriakidis S, Paleolog EM. Hypoxia–a key regulator of angiogenesis and inflammation in rheumatoid arthritis. Nat. Rev. Rheumatol. 2012;8:153–162. doi: 10.1038/nrrheum.2011.205. [DOI] [PubMed] [Google Scholar]
- 8.de Bandt M, et al. Suppression of arthritis and protection from bone destruction by treatment with TNP-470/AGM-1470 in a transgenic mouse model of rheumatoid arthritis. Arthritis Rheum. 2000;43:2056–2063. doi: 10.1002/1529-0131(200009)43:9<2056::AID-ANR17>3.0.CO;2-2. [DOI] [PubMed] [Google Scholar]
- 9.Ferrara N, Davis-Smyth T. The biology of vascular endothelial growth factor. Endocr. Rev. 1997;18:4–25. doi: 10.1210/edrv.18.1.0287. [DOI] [PubMed] [Google Scholar]
- 10.Veikkola T, Alitalo K. VEGFs, receptors and angiogenesis. Semin. Cancer Biol. 1999;9:211–220. doi: 10.1006/scbi.1998.0091. [DOI] [PubMed] [Google Scholar]
- 11.Ikeda M, Hosoda Y, Hirose S, Okada Y, Ikeda E. Expression of vascular endothelial growth factor isoforms and their receptors Flt-1, KDR, and neuropilin-1 in synovial tissues of rheumatoid arthritis. J. Pathol. 2000;191:426–433. doi: 10.1002/1096-9896(2000)9999:9999<::AID-PATH649>3.0.CO;2-E. [DOI] [PubMed] [Google Scholar]
- 12.Fava RA, et al. Vascular permeability factor/endothelial growth factor (VPF/VEGF): accumulation and expression in human synovial fluids and rheumatoid synovial tissue. J. Exp. Med. 1994;180:341–346. doi: 10.1084/jem.180.1.341. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Koch AE, et al. Vascular endothelial growth factor. A cytokine modulating endothelial function in rheumatoid arthritis. J. Immunol. 1994;152:4149–4156. [PubMed] [Google Scholar]
- 14.Paleolog EM, et al. Modulation of angiogenic vascular endothelial growth factor by tumor necrosis factor alpha and interleukin-1 in rheumatoid arthritis. Arthritis Rheum. 1998;41:1258–1265. doi: 10.1002/1529-0131(199807)41:7<1258::AID-ART17>3.0.CO;2-1. [DOI] [PubMed] [Google Scholar]
- 15.Harada M, et al. Vascular endothelial growth factor in patients with rheumatoid arthritis. Scand. J. Rheumatol. 1998;27:377–380. doi: 10.1080/03009749850154429. [DOI] [PubMed] [Google Scholar]
- 16.Lee SS, et al. Vascular endothelial growth factor levels in the serum and synovial fluid of patients with rheumatoid arthritis. Clin. Exp. Rheumatol. 2001;19:321–324. [PubMed] [Google Scholar]
- 17.Clavel G, et al. Angiogenesis markers (VEGF, soluble receptor of VEGF and angiopoietin-1) in very early arthritis and their association with inflammation and joint destruction. Clin. Immunol. 2007;124:158–164. doi: 10.1016/j.clim.2007.04.014. [DOI] [PubMed] [Google Scholar]
- 18.Kurosaka D, et al. Clinical significance of serum levels of vascular endothelial growth factor, angiopoietin-1, and angiopoietin-2 in patients with rheumatoid arthritis. J. Rheumatol. 2010;37:1121–1128. doi: 10.3899/jrheum.090941. [DOI] [PubMed] [Google Scholar]
- 19.Kim WU, et al. Interaction of vascular endothelial growth factor 165 with neuropilin-1 protects rheumatoid synoviocytes from apoptotic death by regulating Bcl-2 expression and Bax translocation. J. Immunol. 2006;177:5727–5735. doi: 10.4049/jimmunol.177.8.5727. [DOI] [PubMed] [Google Scholar]
- 20.Bottomley MJ, et al. Placenta growth factor (PlGF) induces vascular endothelial growth factor (VEGF) secretion from mononuclear cells and is co-expressed with VEGF in synovial fluid. Clin. Exp. Immunol. 2000;119:182–188. doi: 10.1046/j.1365-2249.2000.01097.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Yoo SA, et al. Role of placenta growth factor and its receptor flt-1 in rheumatoid inflammation: a link between angiogenesis and inflammation. Arthritis Rheum. 2009;60:345–354. doi: 10.1002/art.24289. [DOI] [PubMed] [Google Scholar]
- 22.Yoo SA, et al. Placental growth factor-1 and -2 induce hyperplasia and invasiveness of primary rheumatoid synoviocytes. J. Immunol. 2015;194:2513–2521. doi: 10.4049/jimmunol.1402900. [DOI] [PubMed] [Google Scholar]
- 23.Yoo SA, et al. Placental growth factor regulates the generation of TH17 cells to link angiogenesis with autoimmunity. Nat. Immunol. 2019;20:1348–1359. doi: 10.1038/s41590-019-0456-4. [DOI] [PubMed] [Google Scholar]
- 24.Wang J, Devenport J, Low JM, Yu D, Hitraya E. Relationship between baseline and early changes in C-reactive protein and interleukin-6 levels and clinical response to tocilizumab in rheumatoid arthritis. Arthritis Care. Res. 2016;68:882–885. doi: 10.1002/acr.22765. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Chiu WC, et al. Ultrasound is more reliable than inflammatory parameters to evaluate disease activity in patients with RA receiving tocilizumab therapy. J. Investig. Med. 2018;66:1015–1018. doi: 10.1136/jim-2017-000705. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Aletaha D, et al. 2010 rheumatoid arthritis classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative. Ann. Rheum. Dis. 2010;69:1580–1588. doi: 10.1136/ard.2010.138461. [DOI] [PubMed] [Google Scholar]
- 27.Gopinathan G, et al. Interleukin-6 stimulates defective angiogenesis. Cancer Res. 2015;75:3098–3107. doi: 10.1158/0008-5472.CAN-15-1227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Szkudlarek M, et al. Interobserver agreement in ultrasonography of the finger and toe joints in rheumatoid arthritis. Arthritis Rheum. 2003;48:955–962. doi: 10.1002/art.10877. [DOI] [PubMed] [Google Scholar]
- 29.D’Agostino MA, et al. Scoring ultrasound synovitis in rheumatoid arthritis: a EULAR-OMERACT ultrasound taskforce-Part 1: definition and development of a standardised, consensus-based scoring system. RMD Open. 2017;3:e000428. doi: 10.1136/rmdopen-2016-000428. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.van der Heijde D. How to read radiographs according to the Sharp/van der Heijde method. J. Rheumatol. 2000;27:261–263. [PubMed] [Google Scholar]
- 31.Anderson J, et al. Rheumatoid arthritis disease activity measures: American College of Rheumatology recommendations for use in clinical practice. Arthritis Care. Res. 2012;64:640–647. doi: 10.1002/acr.21649. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Fransen J, van Riel PL. The disease activity score and the EULAR response criteria. Rheum. Dis. Clin. North. Am. 2009;35:745–757, vii-viii. doi: 10.1016/j.rdc.2009.10.001. [DOI] [PubMed] [Google Scholar]
- 33.Houssiau FA, Devogelaer JP, Van Damme J, de Deuxchaisnes CN, Van Snick J. Interleukin-6 in synovial fluid and serum of patients with rheumatoid arthritis and other inflammatory arthritides. Arthritis Rheum. 1988;31:784–788. doi: 10.1002/art.1780310614. [DOI] [PubMed] [Google Scholar]
- 34.Sone H, et al. Elevated levels of vascular endothelial growth factor in the sera of patients with rheumatoid arthritis correlation with disease activity. Life. Sci. 2001;69:1861–1869. doi: 10.1016/s0024-3205(01)01264-4. [DOI] [PubMed] [Google Scholar]
- 35.Rajaei, E. et al. Evaluating the relationship between serum level of interleukin-6 and rheumatoid arthritis severity and disease activity. Curr. Rheumatol. Rev. 10.2174/1573397115666190206144223 (2019). [DOI] [PubMed]
- 36.Andersen M, et al. Ultrasound colour Doppler is associated with synovial pathology in biopsies from hand joints in rheumatoid arthritis patients: a cross-sectional study. Ann. Rheum. Dis. 2014;73:678–683. doi: 10.1136/annrheumdis-2012-202669. [DOI] [PubMed] [Google Scholar]
- 37.Hau M, et al. High resolution ultrasound detects a decrease in pannus vascularisation of small finger joints in patients with rheumatoid arthritis receiving treatment with soluble tumour necrosis factor alpha receptor (etanercept) Ann. Rheum. Dis. 2002;61:55–58. doi: 10.1136/ard.61.1.55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Terslev L, et al. Effects of treatment with etanercept (Enbrel, TNRF:Fc) on rheumatoid arthritis evaluated by Doppler ultrasonography. Ann. Rheum. Dis. 2003;62:178–181. doi: 10.1136/ard.62.2.178. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Naredo E, Moller I, Cruz A, Carmona L, Garrido J. Power Doppler ultrasonographic monitoring of response to anti-tumor necrosis factor therapy in patients with rheumatoid arthritis. Arthritis Rheum. 2008;58:2248–2256. doi: 10.1002/art.23682. [DOI] [PubMed] [Google Scholar]
- 40.Foltz V, et al. Power Doppler ultrasound, but not low-field magnetic resonance imaging, predicts relapse and radiographic disease progression in rheumatoid arthritis patients with low levels of disease activity. Arthritis Rheum. 2012;64:67–76. doi: 10.1002/art.33312. [DOI] [PubMed] [Google Scholar]
- 41.Scire CA, et al. Ultrasonographic evaluation of joint involvement in early rheumatoid arthritis in clinical remission: power Doppler signal predicts short-term relapse. Rheumatology. 2009;48:1092–1097. doi: 10.1093/rheumatology/kep171. [DOI] [PubMed] [Google Scholar]
- 42.Saleem B, et al. Can flare be predicted in DMARD treated RA patients in remission, and is it important? A cohort study. Ann. Rheum. Dis. 2012;71:1316–1321. doi: 10.1136/annrheumdis-2011-200548. [DOI] [PubMed] [Google Scholar]
- 43.Kawashiri SY, et al. The power Doppler ultrasonography score from 24 synovial sites or 6 simplified synovial sites, including the metacarpophalangeal joints, reflects the clinical disease activity and level of serum biomarkers in patients with rheumatoid arthritis. Rheumatology. 2011;50:962–965. doi: 10.1093/rheumatology/keq415. [DOI] [PubMed] [Google Scholar]
- 44.Kitchen J, Kane D. Greyscale and power Doppler ultrasonographic evaluation of normal synovial joints: correlation with pro- and anti-inflammatory cytokines and angiogenic factors. Rheumatology. 2015;54:458–462. doi: 10.1093/rheumatology/keu354. [DOI] [PubMed] [Google Scholar]
- 45.Smolen JS, et al. Treating rheumatoid arthritis to target: 2014 update of the recommendations of an international task force. Ann. Rheum. Dis. 2016;75:3–15. doi: 10.1136/annrheumdis-2015-207524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Wells G, Li T, Maxwell L, Maclean R, Tugwell P. Responsiveness of patient reported outcomes including fatigue, sleep quality, activity limitation, and quality of life following treatment with abatacept for rheumatoid arthritis. Ann. Rheum. Dis. 2008;67:260–265. doi: 10.1136/ard.2007.069690. [DOI] [PubMed] [Google Scholar]
- 47.Bottiger LE, Svedberg CA. Normal erythrocyte sedimentation rate and age. Br. Med. J. 1967;2:85–87. doi: 10.1136/bmj.2.5544.85. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Kushner I. C-reactive protein in rheumatology. Arthritis Rheum. 1991;34:1065–1068. doi: 10.1002/art.1780340819. [DOI] [PubMed] [Google Scholar]
- 49.Pincus T, Braun J, Kavanaugh A, Smolen JS. Optimisation of assessment for rheumatic diseases in clinical trials, observational studies and routine clinical care. Clin. Exp. Rheumatol. 2014;32:S–1. [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.