Abstract
Etanercept (ETN) is an anti-tumour necrosis factor (TNF)-α agent used in rheumatoid arthritis (RA) and psoriatic arthritis (PsA). Few studies focused on the effects of anti-TNF-α on peripheral blood cells. We aimed to evaluate peripheral blood cells in RA and PsA patients during ETN treatment and to explore their relationships with disease activity. RA (n = 82) and PsA (n = 32) patients who started ETN were included into the study and evaluated prospectively before the beginning of ETN therapy and after 14, 22, 54 and 102 weeks. Patients were studied in terms of disease activity score on 28 joints (DAS28), clinical response and laboratory findings. Natural killer (NK) cells, B cells and T cells were characterized by immunophenotyping. Both the RA and the PsA patients showed reduced NK and B cell count before ETN treatment compared with controls. A negative correlation was demonstrated between DAS28 and B cell count in RA patients at baseline. Sustained significant increase of NK and B cells up to normal levels was observed in RA and PsA patients along ETN treatment. Increase of NK cell count was associated with a good–moderate clinical response to ETN in both RA and PsA patients. During ETN treatment peripheral blood NK and B cells levels were restored in RA and PsA patients. Correlations between NK and B cells with disease activity were observed, suggesting that those effects could be mediated by ETN treatment.
Keywords: arthritis, autoimmunity, B cell, natural killer cells
Introduction
Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease characterized by synovitis that leads to destruction of cartilage and bone, functional limitation and disability 1. Psoriatic arthritis (PsA) is defined as a hyperproliferative and inflammatory arthritis associated closely with psoriasis 2. PsA is distinguished from RA by infrequent seropositivity for rheumatoid factor (RF) and anti-citrullinated peptide antibodies (ACPA), as well as by the presence of distinctive clinical features 3. Elevated levels of tumour necrosis factor (TNF)-α have been detected in both the blood and the synovial fluid of RA and PsA patients together with the tissue targets 3–5. Treatment with anti-TNF-α agents represents a significant advance in the management of these patients 3–5. Etanercept (ETN) is the first biological to be approved for use in RA and PsA. It is able to reduce disease signs and symptoms, to improve physical function and to inhibit the progression of structural damage in patients with moderate to severe active RA and in patients with active PsA 2,6–9. ETN is the only fully human TNF-α receptor p75-Fc fusion protein that binds both the soluble and the cell-surface transmembrane form of TNF-α 10,11. Its mechanism of action concerns the competitive inhibition of the binding of both TNF-α and TNF-β [lymphotoxin-α (LT- α)] to cell surface TNF receptors modulating a wide range of immune and inflammatory pathways 12–20. Few lines of evidence focus on the effects of ETN on the regulation of different cell populations in RA and PsA, and there is no consensus in the literature about the effects exerted by ETN on peripheral blood cells 21,22.
Thus, we aimed to evaluate the peripheral blood cells, in particular natural killer (NK) and B cells, in a cohort of RA and PsA patients treated with ETN and to explore the relationship with disease activity reaching novel markers that can potentially be related with the response to the treatment.
Materials and methods
Patients
This study is a longitudinal cohort study that involves repeated observations over a long time (102 weeks). Observation times of repeated measurements occurred every 3 months in order to assess therapeutic efficacy and disease control. Written informed consent was obtained from patients and healthy controls (HC) according to the Declaration of Helsinki (updated 2008) and the study was approved by the scientific ethic committee of the University of Tor Vergata, Rome, Italy. Blood samples were obtained from 82 patients affected by RA, diagnosed according to the American College of Rheumatology revised criteria 23, and 32 patients affected by PsA diagnosed according to the CASPAR (ClASsification criteria for Psoriatic Arthritis) criteria 24. Blood samples from 45 HC, matched for sex and age, were also analysed. Sera were collected using standard protocols and stored at −70°C until they were tested. Clinical and demographic data of all subjects are summarized in Table 1. Disease activity was assessed using the disease activity score on 28 joints (DAS28) with the evaluation of the erythrocyte sedimentation rate (ESR, mm/h) 25. All RA and PsA patients had active disease (DAS28 > 3·2), and for this reason they started treatment with ETN (50 mg/week subcutaneously). Twenty-six RA (31·7%) and 19 (59·4%) PsA patients did not take disease-modifying anti-rheumatic drugs (DMARDs) or steroid treatment in the last month before recruitment since they failed to respond to those drugs (referred to in the text as ‘DMARDs-free’). This DMARDs-free group of patients started ETN in monotherapy; the other patients added ETN to their therapeutic regimen (Table 1). The clinical and laboratory findings were evaluated at baseline (T0) and after 14, 22, 54 and 102 weeks (T14, T22, T54, T102) from the start of ETN therapy. Clinical response was evaluated according to DAS28 remission and European League Against Rheumatism (EULAR) response criteria (classified as good, moderate or no-response). Patients were divided into ‘responders’, which included good and moderate response, and ‘no-responders’ 26. The clinical response and the dropouts during the follow-up are indicated in Table 2. During the follow-up DMARDs and/or steroid were added if necessary in those patients who resulted as no-responders. Dropouts were registered when patients did not reach disease control and/or experienced side effects.
Table 1.
Clinical and demographic data of enrolled patients at baseline and healthy controls.
| RA | PsA | HC | |
|---|---|---|---|
| Number | 82 | 32 | 45 |
| Sex female/male | 65/17 | 17/15 | 33/12 |
| Age (years) | 55·5 ± 14 | 47·4 ± 15·1 | 50 ± 10·3 |
| Disease duration (years) | 9 ± 9·3 | 6·4 ± 6 | n.a. |
| DAS28 | 5·3 ± 1·5 | 5·2 ± 1·4 | n.a. |
| RF-positive, n (%) | 56 (68·3) | 6 (18·7) | n.r. |
| ACPA-positive, n (%) | 65 (79·3) | 0 (0) | n.r. |
| CRP (mg/l) | 16·3 ± 18·7 | 8·9 ± 16·3 | n.r. |
| ESR (mm/h) | 31·2 ± 22·1 | 25·4 ± 21·3 | n.r. |
| ETN in monotherapy, n (%) | 26 (31·7) | 19 (59·4) | n.a. |
| DMARDs, n (%) | 49 (59·8) | 12 (37·5) | n.a. |
| Methotrexate | 23 (28) | 3 (9·4) | n.a. |
| Sulphasalazine | 5 (6) | 3 (9·4) | n.a. |
| Leflunomide | 10 (12·2) | 1 (3·1) | n.a. |
| Hydroxycloroquine | 22 (26·8) | 1 (3·1) | n.a. |
| Cyclosporine A | 4 (4·8) | 4 (12·5) | n.a. |
| Prednisone equivalent (≤ 0·1 mg//kg/day), n (%) | 30 (36·6) | 3 (9·4) | n.a. |
Data are reported as mean ± standard deviation. ACPA = anti-citrullinated peptide antibodies; CRP = C-reactive protein; DAS28 = disease activity score on 28 joints; DMARDs = disease modifying anti-rheumatic drugs; ESR = erythrosedimentation rate; ETN = etanercept; HC = healthy controls; n.a. = not applicable; n.r. = not reported; PsA = psoriatic arthritis; RA = rheumatoid arthritis; RF = rheumatoid factor.
Table 2.
Clinical response and dropouts in rheumatoid arthritis and psoriatic arthritis patients treated with etanercept during the follow-up.
| Timing | T14 weeks | T22 weeks | T54 weeks | T102 weeks |
|---|---|---|---|---|
| RA patients (n) | 82 | 81 | 70 | 66 |
| Responders (n/%) | 60/73·2 | 58/71·6 | 49/70 | 43/65·2 |
| No-responders (n/%) | 22/26·8 | 23/28·4 | 21/30 | 23/34·8 |
| Dropouts (n/%) | 1/1·2 | 11/13·6 | 4/5·7 | 8/12·1 |
| PsA patients (n) | 32 | 32 | 29 | 27 |
| Responders (n/%) | 21/65·6 | 21/65·6 | 20/68·9 | 19/70·3 |
| No-responders (n/%) | 11/34·4 | 11/34·4 | 9/31·1 | 9/29·7 |
| Dropouts (n/%) | 0 | 3/9·4 | 2/6·9 | 2/7·4 |
PsA = psoriatic arthritis; RA = rheumatoid arthritis; T = time-point.
Laboratory assays
All patients were evaluated for serum levels of C-reactive protein (CRP, mg/l) and ESR. Anti-nuclear antibodies (ANA) were evaluated by indirect immunofluorescence using Hep2 cells as substrate (Medica, Bedford, MA, USA). An ANA titre ≥ 1:160 was considered positive. RF was tested using immunonephelometry (Behring, Marburg, Germany). Results were expressed as international units (IU)/ml according to the manufacturer's instructions and values above 20 IU/ml were considered positive. ACPA were detected by second-generation anti-CCP-2 antibody QUANTA-Lite CCP immunoglobulin (Ig)G enzyme-linked immunosorbent assay (ELISA) (Medical Technology Promedt Consulting GmBH, Ingbert, Germany). Results were expressed in IU/ml and values above 20 IU/ml were considered positive. Anti-cardiolipin (aCL) IgG and IgM antibodies were detected by means of standard ELISA (Diamedix, Miami, FL, USA). Results were expressed as IU/ml according to the manufacturer's instructions, and values above 20 IU/ml were considered positive. Extractable nuclear antigen (ENA) autoantibodies were measured by standard ELISA using the ENA-6 screen Enzyme Immunoassay test kit (Diamedix) to detect IgG antibodies against the following antigens: Sm, Sm/nRNP, SS-A, SS-B, Scl-70 and Jo-1. Values above 20 IU/ml were considered positive according to the manufacturer's instructions.
Peripheral blood cells
Peripheral blood mononuclear cells (PBMC) were isolated from heparinized blood samples of patients and HC by density-gradient centrifugation on Ficoll-Hypaque (Nycomed Pharma, Oslo, Norway) and resuspended in 1·5 ml phosphate-buffered saline (PBS)/1% bovine serum albumin (BSA) (1 × 106 cells/100 μl).
Immunophenotyping
Freshly isolated PBMC were stained with fluorescein isothiocyanate (FITC), phycoerythrin (PE), peridinin-chlorophyll protein (PerCP) or allophycocyanin (APC)-conjugated monoclonal antibodies (mAbs) specific for the following human cell surface markers: anti-CD3 (PerCP), anti-CD56 (PE), anti-CD16 (FITC), anti-CD19 (PE), anti-CD45 (APC), anti-CD4 (FITC) and anti-CD8 (PE) or the fluorescence-conjugated isotype-matched controls (all purchased from BD Biosciences, Mountain View, CA, USA). Cells were incubated with a combination of mAb in PBS/1% BSA at +4°C for 20 min. Stained cells were washed twice in PBS/BSA and analysed using a fluorescence activated cell sorter (FACS) Calibur flow cytometer (BD Biosciences, Oxford, UK) with FACS diva software (BD Biosciences). A total of 50 000–80 000 events were acquired for each sample. Peripheral blood NK cells were identified as CD45+CD56+CD16+ cells, B cells as CD45+CD19+ cells, T cells as CD45+CD3+CD4+ cells and CD45+CD3+CD8+ cells. Results were expressed as a percentage of total lymphocyte count. Cell counting was provided by the Laboratory Medicine service at the University of Tor Vergata by using automated counts through flow cytometer. Blind cell counting of the blood samples of patients and controls was performed at each time-point.
Statistics
Normally distributed variables were expressed as the mean ± standard deviation, and non-normally distributed variables were summarized using median, interquartile ranges (IQR) and confidence intervals (CI), unless specified differently. Statistical comparisons in patients and HC were performed using a non-parametric unpaired Mann–Whitney U-test. Median group values of different cell populations were compared before and after the start of ETN in RA and PsA patients using the non-parametric paired Wilcoxon's signed-rank test. Univariate comparisons between nominal variables were performed by χ2 test. Spearman's rank order correlation test was used to assess the relationship between NK and B cell populations and disease activity scores. P-values < 0·05 were considered significant. All statistical analyses were performed using GraphPad Prism software version 4.
Results
NK cells in patients with RA and PsA
Figure 1 shows representative dot-plots of NK cells in a control subject (Fig. 1a,b) and in a patient with RA (Fig. 1c,d) before and after ETN treatment. The influence of gender and age on the number of NK cells was first analysed. Neither the gender nor the age affected the number of NK cells in RA and PsA patients and in HC (data not shown). NK cell count at T0 was reduced significantly in RA patients (median 230 cells/μl, IQR 186–373·5 cells/μl) compared with HC (median 309·5 cells/μl, IQR 230–406·5 cells/μl) (P = 0·01) (Fig. 2a). A significant increase in NK cell number was observed in RA patients during ETN treatment at T14 (P = 0·01), T22 (P < 0·01), T54 (P < 0·01) and T102 (P < 0·01) compared with T0 (Fig. 2a). During ETN treatment, the NK cell percentage increased at T22 (median 17%, IQR 12–20%) and T54 (median 17%, IQR 12·7–22·2%) compared with T0 (median 14%, IQR 9·5–17%) (P = 0·04 and P = 0·01, respectively). Conversely, the NK cell percentage did not change at T14 (median 14%, IQR 10–21%) and T102 (median 17%, IQR 10–22%) compared with the baseline values. NK cell count was reduced significantly in PsA patients (median 210 cells/μl, IQR 145·5–290·5 cells/μl) compared with HC (median 309·5 cells/μl, IQR 230–406·5 cells/μl) (P = 0·008) (Fig. 2b). During ETN treatment, PsA patients showed a significant increase in the NK cell number at T54 (P < 0·05) and T102 (P < 0·01) compared with T0 (Fig. 2b). Conversely, NK cell percentage did not change compared with T0 (T0 median 11·5%, IQR 8–17·7%; T14 median 15·5%, IQR 10·7–20·2%; T22 median 15%, IQR 10–20·5%; T54 median 14%, IQR 11–20·5%; T102 median 12%, IQR 12–22%).
Fig. 1.

Circulating CD16+CD56+ natural killer (NK) and CD19+ B cells in a healthy control (HC) and a rheumatoid arthritis (RA) patient. Representative examples of dot-plots from one HC (a,b) and one RA patient (c,d). (a) The gating strategy with the lymphocyte population identified by CD45 (indicated with P1). CD45+CD56+ cells identified NK cells and CD45+CD19+ cells showed B cells in a HC (b). (c) CD45+CD56+ NK cells and CD45+CD19+ B cells are shown in a representative RA patient before etanercept treatment. (d) CD45+CD56+ and CD45+CD19+ cells of the same RA patient are shown after 102 weeks of etanercept treatment.
Fig. 2.

Circulating natural killer (NK) cells during etanercept treatment. Circulating NK cell numbers in treated rheumatoid arthritis (RA) (n = 82) (a), treated psoriatic arthritis (PsA) patients (n = 32) (b), disease-modifying anti-rheumatic drugs (DMARDs)-free RA (n = 26) (c) and DMARDs-free PsA (n = 19) (d) patients before and after etanercept at different time-points. Data registered in healthy controls (n = 45) are reported in each panel. Data are shown as box-plots; each box represents the 25th–75th percentiles; lines inside the box represent the median. The whiskers represent the 95% confidence interval (CI). Statistical analyses in patients and controls were performed using the Mann–Whitney U-test, while Wilcoxon's signed-rank test was used to compare cells pre- and post-treatment. *P < 0·05; **P < 0·01; ***P < 0·001.
There were no significant differences in the NK cell percentage between HC (median 13·5%, IQR 10–18·2%) and both RA and PsA patients at T0.
DMARDs-free RA and PsA patients were analysed separately. NK cell number was reduced significantly in RA (median 223 cells/μl, IQR 202·5–235·5 cells/μl) and PsA patients (median 191 cells/μl, IQR 145·5–232 cells/μl) compared with HC (P = 0·002 and P = 0·004, respectively) (Fig. 2c,d). Moreover, in patients treated with ETN in monotherapy, a significant increase in NK cell number was observed in RA at T22 (P = 0·03), T54 (P < 0·0006) and T102 (P = 0·005) (Fig. 2c) and in PsA compared with T0 (T0 versus T14 and T0 versus T54: P = 0·01, T0 versus T22: P = 0·008, T0 versus T102: P = 0·004) (Fig. 2d). There was no significant difference in the baseline NK cell percentage in DMARDs-free RA (median 14%, IQR 9–19%) and PsA patients (median 11·5%, IQR 8–16%) compared with HC (median 13·5%, IQR 10–18·2%). Similarly, NK cell percentage did not change in DMARDs-free RA and PsA patients during the follow-up (RA: T14 median 15·5%, IQR 12–18·7%; T22 median 17%, IQR 13–20%; T54 median 16% IQR 12·7–20·7%; T102 median 17%, IQR 14–21%; PsA: T14 median 17%, IQR 12–21·2%; T22 median 15·5%, IQR 13·7–20·5%; T54 median 14·5% IQR 12–23·5%; T102 median 13·5%, IQR 12–25%).
Relationship between NK cells and disease activity during ETN treatment
A significant reduction of the disease activity evaluated with DAS28 was demonstrated in both RA (P < 0·0001 at all time-points) and PsA patients (P < 0·0001 at all time-points) during ETN treatment, together with the progressive increase of NK cell number (Fig. 3). No correlation was demonstrated between DAS28 and NK cell number at T0 in RA and PsA patients (data not shown).
Fig. 3.

Disease activity score on 28 joints (DAS28), circulating natural killer (NK) and B cell numbers in patients treated with etanercept. DAS28 levels, circulating NK and B cell number in rheumatoid arthritis (a) and psoriatic arthritis patients (b) before and after 14, 22, 54 and 102 weeks of treatment with etanercept. Each value represents mean ± standard error.
A significant increase in NK cell number was observed in RA patients who reached a good–moderate EULAR response at T54 and T102 compared with those patients who did not reach a clinical response (T0 versus T54: P = 0·002; T0 versus T102: P = 0·003) (Fig. 4a). In the same manner, an increase in NK cell number was observed in PsA patients who reached a good–moderate response at T54 compared with that in PsA patients who did not reach a clinical response (T0 versus T54: P = 0·01) (Fig. 4b). No correlations were detected between NK cell number and CRP, ESR and DAS28 remission during ETN treatment in both RA and PsA patients (data not shown).
Fig. 4.

Circulating natural killer (NK) cells in rheumatoid arthritis (RA) and psoriatic arthritis (PsA) patients according to the clinical response. NK cell numbers in RA (a) and PsA (b) patients classified as responders (Resp) and no-responders (No-resp) after 54 and 102 weeks of treatment with etanercept. Data are shown as box-plots, where each box represents the 25th–75th percentiles; lines inside the box represent the median. The whiskers represent the 95% confidence interval (CI). Statistical analyses were performed using Wilcoxon's signed-rank test. *P < 0·05; **P< 0·01.
B cells in patients with RA and PsA
Figure 1 shows representative dot-plots of B cells in a control subject (Fig. 1b) and in a patient with RA (Fig. 1c,d) before and after ETN treatment. The influence of gender and age on the number of B cells was investigated. Neither gender nor age affected the number of B cells in RA and PsA patients and HC (data not shown). A significant reduction in B cell number was observed in RA patients at T0 (median 149 cells/μl, IQR 114–282 cells/μl) compared with HC (median 265·5 cells/μl, IQR 193·5–354 cells/μl) (P = 0·0003) (Fig. 5a). During the follow-up, an increase in B cell number was observed in RA patients at T14, T54 and T102 compared with T0 (P = 0·04 for all the considered time-points) (Fig. 5a). A significant reduction in B cell number was also detected in PsA patients at T0 (median 183 cells/μl, IQR 147·5–224 cells/μl) compared with HC (median 265·5 cells/μl, IQR 193·5–354 cells/μl) (P = 0·003) (Fig. 5b). PsA patients showed a significant increase in B cell number at T14 compared with T0 (P = 0·01) (Fig. 5b).
Fig. 5.

Circulating B cell numbers during etanercept treatment. Circulating B cell numbers in treated rheumatoid arthritis (RA) (n = 82) (a), treated psoriatic arthritis (PsA) (n = 32) (b), disease-modifying anti-rheumatic drugs (DMARDs)-free RA (n = 26) (c) and DMARDs-free PsA patients (n = 19) (d) during etanercept treatment. Data registered in healthy controls (n = 45) are reported in each panel. Data are shown as box-plots, where each box represents the 25th–75th percentiles; lines inside the box represent the median. Whiskers represent the 95% confidence interval (CI). Statistical analyses in patients and controls were performed using the Mann–Whitney U-test, while Wilcoxon's signed-rank test was used to compare cell population pre- and post-treatment. *P < 0·05; **P < 0·01; ***P < 0·001.
DMARDs-free RA and PsA patients were evaluated separately. A significant reduction in B cell count was detected in RA (median 189 cells/μl, IQR 135·5–314·5 cells/μl) and PsA patients (median 153 cells/μl, IQR 120–170 cells/μl) compared with HC (P = 0·03, P = 0·001, respectively) (Fig. 5c,d). In patients treated with ETN in monotherapy, a significant increase in B cell number was detected in RA (Fig. 5c) at all time-points (P < 0·05 for all time-points), as well as in PsA at T14 and T22 compared with T0 (P = 0·01 and P = 0·03, respectively) (Fig. 5d).
There were no significant differences in the percentage of B cells between HC (median 12%, IQR 8·7–15%) and the groups of patients at T0 (RA: median 9%, IQR 7–11·5%; PsA: median 9%, IQR 7–10%). Moreover, the percentage of B cells did not change during ETN treatment in all patients (RA: T14 median 10·5%, IQR 9·5–18·2%; T22 median 11·5%, IQR 8–14·5%; T54 median 12% IQR 9·2–15·7%; T102 median 11%, IQR 6·5–15%; PsA: T14 median 10·5%, IQR 9–19·5%; T22 median 16·5%, IQR 8·7–20·2%; T54 median 10% IQR 8·2–15·5%; T102 median 11·5%, IQR 6·5–16·5%).
Relationship between B cells and disease activity during ETN treatment
A negative correlation was detected between B cell number and DAS28 in RA patients at T0 (r = −0·34, P = 0·01) (Fig. 6a). In contrast, no correlation was demonstrated between DAS28 and B cell number in PsA patients (data not shown). There was no significant difference in B cell number when RA patients were stratified according to EULAR response criteria. Conversely, a significant increase in B cell number was detected in responder PsA patients compared with no-responders at T14 (T0 versus T14: P = 0·01) (Fig. 6b). No correlations were detected between B cell number and CRP, ESR and DAS28 remission during ETN treatment in both RA and PsA patients (data not shown).
Fig. 6.

Circulating B cells and clinical outcome in rheumatoid arthritis (RA) and psoriatic arthritis (PsA) patients. (a) Negative correlation between disease activity score on 28 joints (DAS28) levels and B cell numbers in RA patients (n = 82) before etanercept treatment. The correlation was assessed by Spearman's rank order correlation test. (b) B cell numbers in responders and no-responders PsA patients after 14 weeks of treatment with etanercept. Data are shown as box-plots, where each box represents the 25th–75th percentiles; lines inside the box represent the median. Whiskers represent the 95% confidence interval (CI). Statistical analyses were performed using Wilcoxon's signed-rank test. *P < 0·05.
NK and B cells in RA patients according to RF and ACPA status
RA patients were stratified into groups according to their RF status: RF-positive [n = 56, 43 women, 13 men, median age 55 (range 33–75) years, median disease duration 7 (range 1–40) years] and RF-negative patients [n = 26, 21 women, five men, median age 58 (range 19–76) years, median disease duration 5 (range 1–49) years]. The observations described above concerning NK and B cell number/percentage in RA patients at baseline and during the ETN treatment were confirmed in both RF-positive and -negative patients (data not shown). No differences occurred in both NK and B cell number/percentage between RF-positive and -negative patients (data not shown). RA patients were also stratified into groups according to their ACPA status: ACPA-negative patients [n = 17, 16 women, one man, median age 55 (range 19–76) years, median disease duration 8 (range 1–49) years] and ACPA-positive patients (n = 65, 49 women, 16 men, median age 58 (range 33–76) years, median disease duration 7 (range 1–40) years]. NK and B cell number/percentage were not affected by ACPA status at baseline and during the ETN treatment (data not shown).
Autoantibodies
During the ETN treatment, a significant increase in the percentage of ANA-positive RA patients was observed in both RA and PsA patients at T54 and T102 with respect to T0 (P < 0·05). There was no change in RF and ACPA serum levels in RA and PsA patients during ETN treatment, despite a trend towards a reduction in RF levels in RA patients. No modifications in aCL IgG /IgM and ENA antibodies were reported in ETN-treated RA and PsA patients during the follow-up (Table 3).
Table 3.
Autoantibody profile in rheumatoid arthritis and psoriatic arthritis patients during etanercept treatment
| T0 weeks | T14 weeks | T22 weeks | T54 weeks | T102 weeks | ||
|---|---|---|---|---|---|---|
| RF-positive patients (%) | RA | 68·3 | 69·5 | 61·7 | 71·4 | 53 |
| PsA | 18·7 | 12·5 | 18·7 | 17·2 | 11·1 | |
| RF (IU/ml) | RA | 212·1 ± 461·4 | 201·2 ± 311·4 | 160 ± 296·5 | 174·6 ± 308·4 | 169·9 ± 263·8 |
| PsA | 17·3 ± 16·9 | 11·2 ± 4·5 | 12·22 ± 5·0 | 22·08 ± 39·12 | 11·13 ± 3·29 | |
| ACPA-positive patients (%) | RA | 79·3 | 73·2 | 74 | 64·2 | 68·2 |
| PsA | 0 | 3·1 | 0 | 6·8 | 0 | |
| APCA (IU/ml) | RA | 118·4 ± 126·7 | 136·4 ± 123·4 | 140·9 ± 123·7 | 134·9 ± 127·6 | 115·5 ± 112·7 |
| PsA | 3·18 ± 3·74 | 16·09 ± 52·28 | 10·15 ± 21·99 | 14·50 ± 41·18 | 3·97 ± 1·43 | |
| ANA-positive patients (%) | RA | 30·5 | 41·2 | 37 | 60a | 66·6a |
| PsA | 9·4 | 12·5 | 12·5 | 34·5a | 40·7a | |
| ENA-positive patients (%) | RA | 6·66 | 9·8 | 9·26 | 5·34 | 5·36 |
| PsA | 4·76 | 4·76 | 4·76 | 4·34 | 6·25 | |
| IgM–aCL positive patients (%) | RA | 6·35 | 6 | 5·55 | 6·2 | 6·23 |
| PsA | 3·12 | 3·12 | 6·25 | 6·25 | 0 | |
| IgG–aCL-positive patients (%) | RA | 0 | 0 | 0 | 4·44 | 4·16 |
| PsA | 0 | 0 | 0 | 0 | 0 |
Data are reported as mean ± standard deviation or the percentage of positive patients. Statistical analyses between nominal variables in rheumatoid arthritis and psoriatic arthritis patients were performed at all different time-points compared with T0 using χ2 test.
P < 0·05. aCL = anti-cardiolipin antibodies; ACP = anti-citrullinated protein antibodies; ANA = anti-nuclear antibodies; ENA = extractable nuclear antigens; Ig = immunoglobulin; PsA = psoriatic arthritis; RA = rheumatoid arthritis; RF = rheumatoid factor; T = time-point.
Peripheral blood T cells
There was no significant change in the count and percentage of CD4+ T cells, CD8+ T cells and total CD3+ T cells in both RA and PsA patients during ETN treatment. An increase in CD45+ lymphocyte number was detected in RA patients at T102 (median 2449 cells/μl, IQR 1890–2700 cells/μl) compared with T0 (median 1890 cells/μl, IQR 1420–2325 cells/μl) (P = 0·006). Conversely, no significant change in CD45+ lymphocyte number was observed in PsA patients at all time-points compared with baseline (data not shown).
Discussion
This is the first study, to our knowledge, where peripheral blood NK and B cells have been analysed prospectively in a long-term follow-up in RA and PsA patients during ETN treatment. We have demonstrated that RA and PsA patients, both treated and DMARDs-free, showed lower levels of circulating NK and B cells compared with HC. This imbalance was restored after ETN treatment.
NK cells are prominent components of the innate immune response that can exert a disease-promoting or a disease-controlling role in immune-mediated diseases including RA and PsA 27–32. An impaired NK activity has been demonstrated in RA, while peripheral blood NK cell number can be normal or reduced compared with healthy subjects 28,29,32. Moreover, a positive correlation between NK cell cytotoxicity in vitro and disease activity has been described in PsA 33,34. An abnormal distribution of peripheral B cell subsets has also been reported in both RA and PsA. Evidence has been reported that RA patients exhibit a reduction in both naive and memory B cell number compared with controls 35,36. Different mechanisms may explain the reduction of peripheral NK cells and B lymphocytes observed in the present study, such as their recruitment into the inflamed target tissues (synovium and skin) and altered apoptosis 35–37. Indeed, NK cells enrich RA synovial membrane and secrete proinflammatory cytokines such as TNF-α, interleukin (IL)-12, IL-18 and IL-15 28. In this study the reduction of peripheral blood NK and B cells seems to be restored during ETN treatment. We report an early and permanent increase up to normalization of NK and B cells in both DMARDs-free and treated RA patients. The same results occur in NK cell number in both DMARDs-free and treated PsA patients, while the modification in B cell number appears to be early, but transient. These data may suggest the existence of a mechanism connecting the TNF-α pathway and NK and B cells in the peripheral blood. Previous evidence showed debated data about the effects exerted by TNF-α inhibitors on the immune cellular network in RA and PsA patients 38. A recent study supports that ETN decreases CD69 expression on peripheral blood NK cells from healthy donors in vitro 39. A significant reduction in CD27+ memory B cell count has been detected in the peripheral blood from RA patients treated with ETN compared with patients treated with methotrexate and HC 40. Furthermore, ETN neutralizes both TNF-α and LT-α that is crucial for B cell proliferation 41. Thus, in our study, the effect of ETN on peripheral blood B cells may be partially associated with these interactions. According to our data, modification of NK and B cell number appears to be independent from the RF and the ACPA status in RA patients. This result is partially in contrast with previous findings showing that memory B cells increased significantly only in RF-negative patients treated with anti-TNF-α 42. However, it should be noted that we characterized all the CD19+ cells, but did not characterize the memory B cell compartment. It is well known that treatment with anti-TNF-α agents may affect the white blood cell count in RA and PsA patients 5. Thus, the modifications in NK and B cell number that we reported may be related to this issue, rather than a specific change in these cell subsets. However, according to our data, CD4+ T cells, CD8+ T cells, CD3+ T cells and CD45+ cells did not change in both RA and PsA patients during treatment, suggesting that ETN could act directly on the NK and B cell subsets. Indeed, we reported an intriguing correlation between peripheral blood NK and B cells and disease activity in RA and PsA patients. The increase of NK cell number occurs only in those patients who achieved a good–moderate clinical response, suggesting a relationship between peripheral blood cells levels and clinical outcome. Moreover, a negative correlation was demonstrated between B cell number and DAS28 in RA patients at baseline. Previous study observed that DAS28 was correlated negatively with the number of regulatory B cells (Breg) in anti-TNF-α-treated RA patients, indicating that Breg cells have a potentially crucial role in controlling disease activity. Thus, the increase of the peripheral blood B cell number that we registered might be associated with modification of the Breg subset, as reported in the literature 43,44. It is well established that anti-TNF drugs may stimulate the production of autoantibodies such as ANA, although the effect of ETN on RF, ACPA and aCL antibodies is debated 18,45–48. A high prevalence of ANA-positive patients was detected during ETN treatment in both RA and PsA, while we did not find significant modification in RF, ACPA and aCL levels.
The present study suffers from several limitations. First, analysis of the NK and B cells relies on basic cell surface markers that should be further improved by using specific immunophenotyping and activity assays. Secondly, we analysed only healthy subjects as controls, and did not include patients who were not treated with ETN; thus, the observed changes in cell populations could not be ascribed definitively to ETN itself.
Acknowledgments
None.
Disclosures
The authors declare that there are no conflicting financial interests and they received no financial support for this study.
References
- 1.Lee DM, Weinblatt ME. Rheumatoid arthritis. Lancet. 2001;358:903–911. doi: 10.1016/S0140-6736(01)06075-5. [DOI] [PubMed] [Google Scholar]
- 2.Mease PJ, Goffe BS, Metz J, VanderStoep A, Finck B, Burge DJ. Etanercept in the treatment of psoriatic arthritis and psoriasis: a randomised trial. Lancet. 2000;356:385–390. doi: 10.1016/S0140-6736(00)02530-7. [DOI] [PubMed] [Google Scholar]
- 3.van Kuijk AW, Tak PP. Synovitis in psoriatic arthritis: immunohistochemistry, comparisons with rheumatoid arthritis, and effects of therapy. Curr Rheumatol Rep. 2011;13:353–359. doi: 10.1007/s11926-011-0181-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Takeuchi T, Miyasaka N, Tatsuki Y, et al. Baseline tumour necrosis factor alpha levels predict the necessity for dose escalation of infliximab therapy in patients with rheumatoid arthritis. Ann Rheum Dis. 2011;70:1208–1215. doi: 10.1136/ard.2011.153023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Feldmann M. What is the mechanism of action of anti-tumour necrosis factor-alpha antibody in rheumatoid arthritis? Int Arch Allergy Immunol. 1996;111:62–65. doi: 10.1159/000237393. [DOI] [PubMed] [Google Scholar]
- 6.Moreland LW, Baumgartner SW, Schiff MH, et al. Treatment of rheumatoid arthritis with a recombinant human tumor necrosis factor receptor (p75)-Fc fusion protein. N Engl J Med. 1997;337:141–147. doi: 10.1056/NEJM199707173370301. [DOI] [PubMed] [Google Scholar]
- 7.Weinblatt ME, Kremer JM, Bankhurst AD, et al. A trial of etanercept, a recombinant tumor necrosis factor receptor:Fc fusion protein, in patients with rheumatoid arthritis receiving methotrexate. N Engl J Med. 1999;340:253–259. doi: 10.1056/NEJM199901283400401. [DOI] [PubMed] [Google Scholar]
- 8.Jarvis B, Faulds D. Etanercept: a review of its use in rheumatoid arthritis. Drugs. 1999;57:945–966. doi: 10.2165/00003495-199957060-00014. [DOI] [PubMed] [Google Scholar]
- 9.Chimenti MS, Perricone C, Graceffa D, et al. Complement system in psoriatic arthritis: a useful marker in response prediction and monitoring of anti-TNF treatment. Clin Exp Rheumatol. 2012;30:23–30. [PubMed] [Google Scholar]
- 10.Mitoma H, Horiuchi T, Tsukamoto H, et al. Mechanisms for cytotoxic effects of anti-tumor necrosis factor agents on transmembrane tumor necrosis factor alpha-expressing cells: comparison among infliximab, etanercept, and adalimumab. Arthritis Rheum. 2008;58:1248–1257. doi: 10.1002/art.23447. [DOI] [PubMed] [Google Scholar]
- 11.Horiuchi T, Mitoma H, Harashima SI, Tsukamoto H, Shimoda T. Transmembrane TNF-α: structure, function and interaction with anti-TNF agents. Rheumatology (Oxf) 2010;49:1215–1228. doi: 10.1093/rheumatology/keq031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Harashima S, Horiuchi T, Hatta N, et al. Outside-to-inside signal through the membrane TNF-alpha induces E-selectin (CD62E) expression on activated human CD4+ T cells. J Immunol. 2001;166:130–136. doi: 10.4049/jimmunol.166.1.130. [DOI] [PubMed] [Google Scholar]
- 13.Klimiuk PA, Sierakowski S, Domyslawska I, Chwiecko J. Effect of etanercept on serum levels of soluble cell adhesion molecules (sICAM-1, sVCAM-1, and sE-selectin) and vascular endothelial growth factor in patients with rheumatoid arthritis. Scand J Rheumatol. 2009;38:439–444. doi: 10.3109/03009740903079321. [DOI] [PubMed] [Google Scholar]
- 14.Zivojinovic SM, Pejnovic NN, Sefik-Bukilica MN, Kovacevic LV, Soldatovic II, Damjanov LF. Tumor necrosis factor blockade differentially affects innate inflammatory and Th17 cytokines in rheumatoid arthritis. J Rheumatol. 2012;39:18–21. doi: 10.3899/jrheum.110697. [DOI] [PubMed] [Google Scholar]
- 15.Caproni M, Antiga E, Melani L, Volpi W, Del Bianco E, Fabbri P. Serum levels of IL-17 and IL-22 are reduced by etanercept, but not by acitretin, in patients with psoriasis: a randomized-controlled trial. J Clin Immunol. 2009;29:210–214. doi: 10.1007/s10875-008-9233-0. [DOI] [PubMed] [Google Scholar]
- 16.Wang F, Smith N, Maier L, et al. Etanercept suppresses regenerative hyperplasia in psoriasis by acutely downregulating epidermal expression of interleukin (IL)-19, IL-20 and IL-24. Br J Dermatol. 2012;167:92–102. doi: 10.1111/j.1365-2133.2012.10961.x. [DOI] [PubMed] [Google Scholar]
- 17.Esposito M, Giunta A, Mazzotta A, et al. Efficacy and safety of subcutaneous anti-tumor necrosis factor-alpha agents, etanercept and adalimumab, in elderly patients affected by psoriasis and psoriatic arthritis: an observational long-term study. Dermatology. 2012;225:312–319. doi: 10.1159/000345623. [DOI] [PubMed] [Google Scholar]
- 18.Di Muzio G, Perricone C, Ballanti E, et al. Complement system and rheumatoid arthritis: relationships with autoantibodies, serological, clinical features, and anti-TNF treatment. Int J Immunopathol Pharmacol. 2011;24:357–366. doi: 10.1177/039463201102400209. [DOI] [PubMed] [Google Scholar]
- 19.Ballanti E, Perricone C, Di Muzio G, et al. Role of the complement system in rheumatoid arthritis and psoriatic arthritis: relationship with anti-TNF inhibitors. Autoimmun Rev. 2011;10:617–623. doi: 10.1016/j.autrev.2011.04.012. [DOI] [PubMed] [Google Scholar]
- 20.Catrina AI, Klint EA, Ernestam S, et al. Anti-tumor necrosis factor therapy increases synovial osteoprotegerin expression in rheumatoid arthritis. Arthritis Rheum. 2006;54:76–81. doi: 10.1002/art.21528. [DOI] [PubMed] [Google Scholar]
- 21.Leandro MJ. Anti-tumor necrosis factor therapy and B cells in rheumatoid arthritis. Arthritis Res Ther. 2009;11:128. doi: 10.1186/ar2809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Moreland LW, Bucy RP, Weinblatt ME, Mohler KM, Spencer-Green GT, Chatham WW. Immune function in patients with rheumatoid arthritis treated with etanercept. Clin Immunol. 2002;103:13–21. doi: 10.1006/clim.2001.5183. [DOI] [PubMed] [Google Scholar]
- 23.Arnett FC, Edworthy SM, Bloch DA, et al. The American Rheumatism Association 1987 revised criteria for the classification of rheumatoid arthritis. Arthritis Rheum. 1988;31:315–324. doi: 10.1002/art.1780310302. [DOI] [PubMed] [Google Scholar]
- 24.Taylor W, Gladman D, Helliwell P, Marchesoni A, Mease P, Mielants H CASPAR Study Group. Classification criteria for psoriatic arthritis: development of new criteria from a large international study. Arthritis Rheum. 2006;54:2665–2673. doi: 10.1002/art.21972. [DOI] [PubMed] [Google Scholar]
- 25.Prevoo ML, van't Hof MA, Kuper HH, van Leeuwen MA, van de Putte LB, van Riel PL. Modified disease activity scores that include twenty-eight-joint counts. Development and validation in a prospective longitudinal study of patients with rheumatoid arthritis. Arthritis Rheum. 1995;38:44–48. doi: 10.1002/art.1780380107. [DOI] [PubMed] [Google Scholar]
- 26.van Gestel AM, Haagsma CJ, van Riel PL. Validation of rheumatoid arthritis improvement criteria that include simplified joint counts. Arthritis Rheum. 1998;41:1845–1850. doi: 10.1002/1529-0131(199810)41:10<1845::AID-ART17>3.0.CO;2-K. [DOI] [PubMed] [Google Scholar]
- 27.Manda G, Neagu M, Livescu A, Constantin C, Codreanu C, Radulescu A. Imbalance of peripheral B lymphocytes and NK cells in rheumatoid arthritis. J Cell Mol Med. 2003;7:79–88. doi: 10.1111/j.1582-4934.2003.tb00206.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Conigliaro P, Scrivo R, Valesini G, Perricone R. Emerging role for NK cells in the pathogenesis of inflammatory arthropathies. Autoimmun Rev. 2011;10:577–581. doi: 10.1016/j.autrev.2011.04.017. [DOI] [PubMed] [Google Scholar]
- 29.Perricone R, Perricone C, De Carolis C, Shoenfeld Y. NK cells in autoimmunity: a two-edged weapon of the immune system. Autoimmun Rev. 2008;7:384–390. doi: 10.1016/j.autrev.2008.03.002. [DOI] [PubMed] [Google Scholar]
- 30.Perricone R, Perricone C, Shoenfeld Y. Autoimmunity: when the immune system becomes the self-ish giant. Autoimmun Rev. 2011;10:575–576. doi: 10.1016/j.autrev.2011.05.003. [DOI] [PubMed] [Google Scholar]
- 31.Mukai E, Nagashima M, Hirano D, Yoshino S. Comparative study of symptoms and neuroendocrine–immune network mediator levels between rheumatoid arthritis patients and healthy subjects. Clin Exp Rheumatol. 2000;18:585–590. [PubMed] [Google Scholar]
- 32.Aramaki T, Ida H, Izumi Y, et al. A significantly impaired natural killer cell activity due to a low activity on a per-cell basis in rheumatoid arthritis. Mod Rheumatol. 2009;19:245–252. doi: 10.1007/s10165-009-0160-6. [DOI] [PubMed] [Google Scholar]
- 33.Massari D, Prpic-Massari L, Kehler T, et al. Analysis of granulysin-mediated cytotoxicity in peripheral blood of patients with psoriatic arthritis. Rheumatol Int. 2012;32:2777–2784. doi: 10.1007/s00296-011-2013-9. [DOI] [PubMed] [Google Scholar]
- 34.Spadaro A, Scrivo R, Moretti T, et al. Natural killer cells and gamma/delta T cells in synovial fluid and in peripheral blood of patients with psoriatic arthritis. Clin Exp Rheumatol. 2004;22:389–394. [PubMed] [Google Scholar]
- 35.Sellam J, Rouanet S, Hendel-Chavez H, et al. Blood memory B cells are disturbed and predict the response to rituximab in patients with rheumatoid arthritis. Arthritis Rheum. 2011;63:3692–3701. doi: 10.1002/art.30599. [DOI] [PubMed] [Google Scholar]
- 36.Souto-Carneiro MM, Mahadevan V, Takada K, et al. Alterations in peripheral blood memory B cells in patients with active rheumatoid arthritis are dependent on the action of tumour necrosis factor. Arthritis Res Ther. 2009;11:R84. doi: 10.1186/ar2718. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Eggleton P, Harries LW, Alberigo G, et al. Changes in apoptotic gene expression in lymphocytes from rheumatoid arthritis and systemic lupus erythematosus patients compared with healthy lymphocytes. J Clin Immunol. 2010;30:649–658. doi: 10.1007/s10875-010-9429-y. [DOI] [PubMed] [Google Scholar]
- 38.Benucci M, Saviola G, Manfredi M, Sarzi-Puttini P, Atzeni F. Tumor necrosis factors blocking agents: analogies and differences. Acta Biomed. 2012;83:72–80. [PubMed] [Google Scholar]
- 39.Thaher F, Plankenhorn S, Klein R. Differential effects of the tumor necrosis factor alpha-blocker infliximab and etanercept on immunocompetent cells in vitro. Int Immunopharmacol. 2011;11:1724–1731. doi: 10.1016/j.intimp.2011.06.005. [DOI] [PubMed] [Google Scholar]
- 40.Anolik JH, Ravikumar R, Barnard J, et al. Cutting edge: anti-tumor necrosis factor therapy in rheumatoid arthritis inhibits memory B lymphocytes via effects on lymphoid germinal centers and follicular dendritic cell networks. J Immunol. 2008;180:688–692. doi: 10.4049/jimmunol.180.2.688. [DOI] [PubMed] [Google Scholar]
- 41.Chiang EY, Kolumam G, McCutcheon KM, et al. In vivo depletion of lymphotoxin-alpha expressing lymphocytes inhibits xenogeneic graft-versus-host-disease. PLOS ONE. 2012;7:e33106. doi: 10.1371/journal.pone.0033106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Roll P, Muhammad K, Schumann M, Kleinert S, Tony HP. RF positivity has substantial influence on the peripheral memory B-cell compartment and its modulation by TNF inhibition. Scand J Rheumatol. 2012;41:180–185. doi: 10.3109/03009742.2011.645056. [DOI] [PubMed] [Google Scholar]
- 43.Ma L, Liu B, Jiang Z, Jiang Y. Reduced numbers of regulatory B cells are negatively correlated with disease activity in patients with new-onset rheumatoid arthritis. Clin Rheumatol. 2014;33:187–195. doi: 10.1007/s10067-013-2359-3. [DOI] [PubMed] [Google Scholar]
- 44.Karampetsou MP, Andonopoulos AP, Liossis SN. Treatment with TNFα blockers induces phenotypical and functional aberrations in peripheral B cells. Clin Immunol. 2011;140:8–17. doi: 10.1016/j.clim.2011.01.012. [DOI] [PubMed] [Google Scholar]
- 45.Valesini G, Iannuccelli C, Marocchi E, Pascoli L, Scalzi V, Di Franco M. Biological and clinical effects of anti-TNFalpha treatment. Autoimmun Rev. 2007;7:35–41. doi: 10.1016/j.autrev.2007.03.003. [DOI] [PubMed] [Google Scholar]
- 46.De Rycke L, Baeten D, Kruithof E, Van den Bosch F, Veys EM, De Keyser F. The effect of TNFalpha blockade on the antinuclear antibody profile in patients with chronic arthritis: biological and clinical implications. Lupus. 2005;14:931–937. doi: 10.1191/0961203305lu2240rr. [DOI] [PubMed] [Google Scholar]
- 47.Yazdani-Biuki B, Stadlmaier E, Mulabecirovic A, et al. Blockade of tumor necrosis factor alpha significantly alters the serum level of IgG- and IgA-rheumatoid factor in patients with rheumatoid arthritis. Ann Rheum Dis. 2005;64:1224–1226. doi: 10.1136/ard.2004.030262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Chen HA, Lin KC, Chen CH, et al. The effect of etanercept on anti-cyclic citrullinated peptide antibodies and rheumatoid factor in patients with rheumatoid arthritis. Ann Rheum Dis. 2006;65:35–39. doi: 10.1136/ard.2005.038851. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Jonsdottir T, Forslid J, van Vollenhoven A, et al. Treatment with tumour necrosis factor alpha antagonists in patients with rheumatoid arthritis induces anticardiolipin antibodies. Ann Rheum Dis. 2004;63:1075–1078. doi: 10.1136/ard.2003.018093. [DOI] [PMC free article] [PubMed] [Google Scholar]
