Arthritis
Volume 2016 (2016), Article ID 4963950, 12 pages
http://dx.doi.org/10.1155/2016/4963950

Research Article

Rituximab Downregulates Gene Expression Associated with Cell Proliferation, Survival, and Proteolysis in the Peripheral Blood from Rheumatoid Arthritis Patients: A Link between High Baseline Autophagy-Related ULK1 Expression and Improved Pain Control

Elena V. Tchetina,¹ Anastasya N. Pivanova,² Galina A. Markova,¹ Galina V. Lukina,² Elena N. Aleksandrova,¹ Andrey P. Aleksankin,¹ Sergey A. Makarov,³ and Aleksandr N. Kuzin⁴

¹Clinical Immunology Department, Nasonova Research Institute of Rheumatology, Moscow 115522, Russia
²Clinical Pharmacology Department, Nasonova Research Institute of Rheumatology, Moscow 115522, Russia
³Department of Surgery, Nasonova Research Institute of Rheumatology, Moscow 115522, Russia
⁴Forensic Medicine Service, Moscow City Health Department, Moscow 115516, Russia

Received 9 July 2015; Revised 22 December 2015; Accepted 3 January 2016

Academic Editor: Shigeru Kotake

Copyright © 2016 Elena V. Tchetina et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Objective. To clarify molecular mechanisms for the response to rituximab in a longitudinal study. Methods. Peripheral blood from 16 RA patients treated with rituximab for a single treatment course and 26 healthy controls, blood and knee articular cartilages from 18 patients with long-standing RA, and cartilages from 14 healthy subjects were examined. Clinical response was assessed using ESR, ACPA, CRP, RF, DAS28 levels, CD19+ B-cell counts, bone erosion, and joint space narrowing scores. Protein expression in PBMCs was quantified using ELISA. Gene expression was performed with quantitative real-time PCR. Results. A decrease () in DAS28, ESR, and CRP values after rituximab treatment was associated with the downregulation of MTOR, p21, caspase 3, ULK1, TNFα, IL-1β, and cathepsin K gene expression in the peripheral blood to levels found in healthy subjects. MMP-9 expression remained significantly higher compared to controls although decreased () versus baseline. A negative correlation between baseline ULK1 gene expression and the number of tender joints at the end of follow-up was observed. Conclusions. The response to rituximab was associated with decreased MTOR, p21, caspase 3, ULK1, TNFα, IL-1β, and cathepsin K gene expression compared to healthy subjects. Residual increased expression in MMP-9, IFNα, and COX2 might account for remaining inflammation and pain. High baseline ULK1 gene expression indicates a good response in respect to pain.

1. Introduction

Rheumatoid arthritis (RA) is one of the most common autoimmune rheumatic diseases and represents a complex systemic multifactorial inflammatory process involving joint destruction [1, 2]. The synovium is a major site of the pathogenesis because activated fibroblast-like synoviocytes produce prostanoids, cytokines, chemokines, matrix degrading enzymes, angiogenic factors, and adhesion molecules [3]. In addition, synovial tissue is invaded by macrophages and activated lymphocytes. T-lymphocytes are involved in the production of a wide range of proinflammatory cytokines, predominantly from the tumor necrosis factor and interleukin superfamilies, and growth factors. B-lymphocytes are associated with the production of autoantibodies, such as rheumatoid factor (RF) and anticyclic citrullinated peptide antibodies (ACPA) [4].

Rituximab (RTX) is a chimeric monoclonal mouse or human antibody IgG1k binding surface antigen, CD20 [5–10], which is expressed in B-cells at different differentiation stages excluding B-cell precursors or terminally differentiated plasma cells [11]. After binding, RTX induces depletion of B-cells by complement- or antibody-mediated cellular cytotoxicity, although some noncirculating tissue B-cells could bind to RTX without causing depletion [12, 13]. RTX in combination with methotrexate (MTX) has been shown to decrease RA disease activity [14–16] and slow joint destruction [17], whereas the latter often occurs independent of patient clinical response [17].

The cellular mechanisms for RTX activity in RA are not clear at present. Several studies have sought to identify RTX response genes based on baseline gene expression signatures in peripheral blood from RA patients. These studies have shown that RTX responders exhibited low expression of genes related to the interferon pathway [18, 19] and arginase (Arg1) as well as low levels of chemokines carrying the C-X-C sequence (CXCL13), a B-cell chemoattractant [20]. Upregulation of genes associated with macrophage and T-cell function, tumor necrosis factor (TNF) receptor-associated factor (TRAF) 1, toll-like receptor (TLR) 4 [21], nuclear factor (NF) kB-related genes, including interleukin- (IL-) 33, and signal transducer and activator of transcription (STAT) 5A [19] was also found in the responders. In contrast, high expression of interferon- (IFN-) α [22, 23] and genes related to tissue remodeling, namely, clusterin, tissue inhibitor of metalloproteinase (TIMP) 3, and metalloproteinase (MMP) 9 in synovial tissue [24], was observed in the nonresponders.

A longitudinal study of synovial tissue showed downregulation of genes, encoding immunoglobulins, chemotaxis, leucocyte activation, and immune response after RTX therapy, whereas gene expression associated with cell developmental processes and tissue regeneration increased [25]. Another longitudinal study has shown that good responders demonstrated increased expression of type I IFN-response genes [18]. However, no comparison of RA patient gene expression changes after RTX treatment with gene expression in healthy subjects has been performed.

Our previous studies have shown that methotrexate (MTX) treatment for RA patients significantly decreased the gene expression of the proinflammatory cytokine tumor necrosis factor (TNF) α to a level found in healthy controls after 24 months of follow-up [26]. However, the initially increased expression of the non-tissue specific regulatory genes, MTOR (mechanistic target of rapamycin), the major regulator of cell growth and proliferation; ULK1, an autophagy marker involved in longevity and autonomous cell survival; p21, a cyclin-dependent kinase inhibitor; and caspase 3, an apoptosis indicator, was not significantly affected by this drug. Gene expression of the proteases cathepsin K and MMP-9, which are involved in bone and articular cartilage degradation, was also upregulated in the peripheral blood of RA patients compared to healthy subjects and demonstrated variable changes through the course of MTX treatment. Further upregulation of MMP-9 and cathepsin K gene expression compared to baseline in seropositive RA patients treated with MTX was associated with an increase in erosion numbers. Seronegative RA patients exhibited an absence of significant changes in MMP-9 and cathepsin K gene expression in the blood and no increase in the erosion score at the end of the study [26].

To further investigate the mechanisms of antirheumatic drug actions, we analyzed changes in clinical, immunological, and radiological indices and gene expression in the above non-tissue specific regulatory genes, proteases, and cytokines TNFα, IL-1β, COX2, and IFNα in peripheral blood from RA patients before and after one cycle of RTX therapy compared to healthy subjects. We hypothesized that the ability of RTX to ameliorate RA manifestations and delay joint degradation in responsive subjects might be associated with the downregulation of genes involved in bone and articular cartilage destruction and non-tissue specific regulatory genes in the peripheral blood. We found that a significant decrease in DAS28, ESR, and CRP values after RTX therapy was associated with downregulation of MTOR, caspase 3, ULK1, TNFα, IL-1β, and cathepsin K gene expression to levels found in healthy subjects.

2. Patients and Methods

2.1. Ethics Statement

Our study was in compliance with the Helsinki Declaration. The study protocol was approved by the Local Committee on the Ethics of Human Research, and informed consent was obtained from all subjects.

2.2. Patients

Inclusion criteria of the control subjects: the control group consisted of 26 subjects, (average age years, range 19–69 years) with no current chronic or acute infection and no family history of autoimmune diseases.

Inclusion criteria for the RA patients: the RA patient group consisted of 16 consecutive, unrelated rheumatoid arthritis patients (average age years, range 18–68 years), who visited the clinic at the Nasonova Institute of Rheumatology. The inclusion criteria involved a diagnosis of RA, as defined by the American College of Rheumatology (ACR) 2010 [27], and age ≥18 years (with previous failure of DMARD and anti-TNFα blockers).

The exclusion criteria were manifestations of any microbial or viral infections less than two weeks before screening, any symptoms of not entirely controlled systemic, neurological, or psychiatric disease, any malignant or premalignant manifestations at present or in the last five years, and women who were pregnant or lactating.

All patients included in this study received one cycle of RTX therapy at one of two different doses: eight patients received 0.5 g and another eight patients received 1 g. In addition, seven out of 16 patients received MTX (15–20 mg per week), two patients were treated with leflunomide (20 mg daily), another two patients received hydroxychloroquine (200–400 mg daily), and one was treated with azathioprine (150 mg daily). In addition, 11 patients received methylprednisolone (3–12 mg daily), and 14 patients were also treated with NSAIDs. Each patient was followed up by the same investigator through the entire study period.

Another RA patient group consisted of 18 consecutive, unrelated long-standing RA patients undergoing knee joint replacement surgery (average age years, range 31–65 years) diagnosed with RA, as defined by the American College of Rheumatology (ACR) 2010 [27].

2.3. Cartilage

Human femoral condylar cartilage was obtained at total knee arthroplasty from the same long-standing 18 patients (average age years, range 31–65 years) with RA diagnosed according to the criteria of the American College of Rheumatology [27].

Human articular cartilage from 14 healthy individuals (average age years, range 29–51 years) (controls) was obtained less than 12 hours postmortem at autopsy from the femoral condylar surfaces of the knee that articulate with the patella.

2.4. Demographic, Clinical, and Immunologic Assessment

The evaluation data were collected at baseline and six months. These data included age, gender, disease duration, Steinbrocker’s radiographic stage [28], duration of morning stiffness (min), and the disease activity score (DAS) using a modified index involving 28 joints [27, 29]. Concentrations of serum C-reactive protein (cut-off value, 5 mg/L) and IgM class rheumatoid factor (RF) (a standard cut-off value of 15 mU/L was used) were measured via nephelometry using a BN-100 analyzer (Dade Bering, Germany). Anticitrullinated protein autoantibodies (ACPA) were detected using ELISA according to the manufacturer’s recommendations (the cut-off level was set at 5 U/mL for antibody positivity) (Axis Shield Diagnostics Limited, Great Britain).

The percentage of CD19+ B-cells in the peripheral blood was determined by flow cytometry using the monoclonal antibodies Cyto-Stat Tetra Chrome CD45-FITC/CD56-RD-1/CD19-ECD/CD3-PC5 and Cyto-Stat Tetra Chrome CD45-FITC/CD56-RD-1/CD8-ECD/CD3-PC5 (Beckman Coulter, USA) with a Cytomics FC 500 cytometer equipped with Cell Quest software according to the manufacturer’s recommendations (Beckman Coulter, USA).

2.5. Radiographic Assessment

Radiographs of hands and feet were obtained at months 0 and 12. The radiographs were evaluated blind and in chronological order by two independent observers and scored using Sharp’s method as modified by van der Heijde [30, 31]. For each patient, an erosion and joint space narrowing score was registered for hands and feet at baseline and after one year, and the mean of the scores from two observers was used to determine the final radiographic scores for erosions and joint space narrowing.

2.6. Peripheral Blood Fractionation

Peripheral blood (10 mL) was collected in Vacutainer tubes containing ethylenediaminetetraacetic acid (EDTA) (BDH, England). The blood samples were taken in a standardized manner in the morning (between 07:00 AM and 09:00 AM). Whole blood fractionation was performed using a Ficoll density gradient [32]. PBMCs were collected and washed twice in phosphate-buffered saline (PBS). The obtained cell fractions were frozen and kept at –70°C prior to protein extraction.

2.7. Quantification of p70-S6K, p21, MMP-9, and Caspase 3 Protein Levels

Concentrations of phospho-p70-S6K (KHO0581), p21WAF1/Cip1 (KHO5421), MMP-9 (KHC3061), and active caspase 3 (KHO1091) were determined in isolated PBMCs using commercially available enzyme linked immunosorbent assay (ELISA) kits (Invitrogen, Camarillo, CA, USA) according to the manufacturer’s instructions. For MTOR protein expression, we evaluated levels of p70-S6K, an MTOR direct target for phosphorylation, which is usually used as an MTOR readout [33, 34]. One unit of p70-S6K [pT389] standard is equivalent to the amount of p70-S6R [pT389] phosphorylated from 1.0 ng of total p70-S6K protein.

PBMC lysates were obtained using Cell Extraction Buffer containing 10 mM Tris, pH 7.4, 100 mM NaCl, 1 mM EDTA, 1 mM EGTA, 1 mM NaF, 20 mM Na₄P₂O₇, 20 mM Na₃VO₄, 1% Triton X-100, 10% glycerol, 0.1% SDS, and 0.5% deoxycholate (Invitrogen, Camarillo, CA, USA) supplemented with Protease Inhibitor Cocktail (Sigma-Aldrich, Inc., St. Louis, USA) and 1 mM PMSF (Sigma-Aldrich, Inc., St. Louis, USA) according to the manufacturer’s instructions. Total DNA content in PBMC lysates was measured spectrophotometrically using GeneQuant (Amersham Biosciences, United States). Results were expressed per μg of DNA.

2.8. Total RNA Isolation and Reverse Transcriptase (RT) Reaction

For detection of gene expression total RNA was isolated from 100 μL of whole blood immediately after withdrawal using Ribo-zol-A kit (InterLabService, Moscow, Russia) in accordance with the manufacturer’s recommendations. Total RNA was also isolated from fresh knee articular cartilage using TRIzol reagent according to the manufacturer’s recommendations (Invitrogen, Carlsbad, CA USA). Total RNA had . The RT reaction was performed using a Reverta kit containing M-MLV Reverse Transcriptase, random hexanucleotide primers, and total RNA according to the manufacturer’s recommendations (InterLabService, Moscow, Russia).

2.9. Real-Time Quantitative PCR

The following premade primers and probes were used for the TaqMan assay (Applied Biosystems, Foster City, CA, USA): MTOR (Hs00234522_m1), Unc-51-like kinase 1 (ULK1) (Hs00177504_m1), p21WAF1/Cip1 (p21) (Hs00355782_m1), caspase 3 (Hs00263337_m1), TNFα (Hs00174128_m1), IL-1β (Hs00174097_m1), COX2 (Hs00153133-m1), IFNα (Hs00855471_m1), MMP-9 (Hs00234579_m1), and cathepsin K (Hs00166165_m1). β-Actin was used as an endogenous control.

The quantification of gene expression was conducted using a 7300 Real-Time PCR System (Applied Biosystems, Foster City, CA, USA) as described previously [35]. Briefly, 1 μL of RT product was subjected to real-time PCR in a 15 μL total reaction mixture containing 7.5 μL of TaqMan Universal PCR Master Mix (Applied Biosystems), 900 nM sense and antisense primers, 50 nM probe, and template cDNA. After a single step of 50°C for 2 min and an initial activation at 95°C for 10 min, the reaction mixtures were subjected to 40 amplification cycles (15 s at 95°C for denaturation and 1 min of annealing and extension at 60°C).

Relative mRNA expression was determined using the delta-delta method, as detailed by the manufacturer guidelines (Applied Biosystems) [36]. The delta value was calculated by subtracting the value for the housekeeping β-actin gene from the value for each sample. A delta-delta value was then calculated by subtracting the delta value of the control (each healthy patient) from the delta value of each RA patient. Each PCR was performed in duplicate. Three “no template” controls were consistently negative for each reaction.

2.10. Statistical Analysis

The descriptive values of the variables, which did not have a Gaussian distribution, were expressed as medians and interquartile ranges. A statistical comparison between the independent patient groups was performed using the Mann-Whitney test and Spearman’s rank correlations. For the statistical comparison between the RA patient groups before and after treatment, the Wilcoxon matched pairs test was applied. To compare percentages, a one-tailed -test for percentages was applied. Statistica 6 software (StatSoft, Tulsa, OK, USA) was used for all of the statistical analyses. values ≤ 0.05 were considered to be significant.

3. Results

3.1. Whole Blood Gene Expression in Rheumatoid Arthritis Patients at Baseline and at Six Months

The majority of the examined genes, including the regulator of cell growth and proliferation MTOR; the autophagy marker ULK1; the apoptosis indicator caspase-3; the proinflammatory cytokines TNFα, IL-1β, IFNα, and COX2; and the proteases MMP-9 and cathepsin K, were significantly upregulated in a sample of RA patients () at baseline compared to healthy subjects (Figure 1). Although there was a considerable variation in ULK1 gene expression, plotting the data without an outlier confirmed that RA patients exhibited significantly upregulated ULK1 gene expression () at baseline (Supplementary Material, Figure  4, available online at http://dx.doi.org/10.1155/2016/4963950). RTX treatment resulted in a significant decrease in MTOR () and MMP-9 () gene expression compared to baseline. Expression of the majority of examined genes also decreased and became comparable to those of healthy controls (), whereas expression of MMP-9, COX-2, and IFNα remained significantly higher than in control subjects (). Therefore, RTX therapy was effective in downregulating genes related to growth, proliferation, cell survival, apoptosis, and proinflammatory cytokines TNFα and IL-1β and partially effective for genes related to bone tissue destruction. However, expression of the metalloproteinase MMP-9 and proinflammatory mediators COX2 and IFNα remained high.

(a)

(b)

(c)

(d)

(e)

(f)

(g)

(h)

(i)

(j)

Figure 1: Relative expression of the genes MTOR (a), ULK1 (b), p21 (c), caspase 3 (d), IFNα (e), MMP-9 (f), cathepsin K (g), TNFα (h), IL-1β (i), and COX2 (j) with reference to β-actin as determined using real-time PCR analyses in whole blood from RA patients () compared to healthy controls (). The controls are shown as 1.0 as required for relative quantification with the real-time PCR protocol. Asterisks () indicate significant differences from the control in pairwise comparisons (Mann-Whitney test). The number signs () show significant differences from baseline in pairwise comparisons (Wilcoxon matched pairs test).

An analysis of bivariate correlations using Spearman’s correlation coefficient for the expression of MTOR, ULK1, p21, caspase 3, and TNFα at baseline showed positive correlations () with each other in the examined RA patients () (Table 1). Cathepsin K gene expression positively correlated with only MMP-9 and TNFα. IL-1β gene expression correlated with only COX2 and IFNα. A positive correlation was also noted between p21, cathepsin K, and COX2 gene expression and serum RF protein level.

Table 1: Spearmen’s correlation coefficients and their significance () are shown for the expression of the examined genes in relation to each other and immunological marker in RA patients () at baseline.

ULK1
P21
Caspase 3
MMP-9
Cathepsin K
TNFα
COX2
IFNα

MTOR
0.891
p < 0.001
0.607
p = 0.01
0.878
p < 0.001
0.597
p = 0.01
0.859
p < 0.001
0.747
p < 0.001

ULK1

0.800
p = 0.003
0.963
p < 0.001
0.729
p = 0.002
0.906
p < 0.001
0.792
p < 0.001

P21

0.773
p < 0.001
0.600
p = 0.01
0.954
p < 0.001
0.758
p < 0.001

Caspase 3

0.723
p = 0.002
0.927
p < 0.001
0.797
p < 0.001

MMP-9

0.651
p = 0.01

Cathepsin K

0.840
p < 0.001

IL-1β

0.611
p = 0.01
0.608
p = 0.002

RF

0.585
p = 0.01

0.607
p = 0.02

0.529
p = 0.03

An assessment with Spearman’s correlation coefficient for the expression of the examined genes at baseline versus clinical and immunological indices measured after six months of follow-up showed a positive correlation () of ULK1, caspase 3, and MMP-9 gene expression with serum ACPA protein levels as well as p21 and cathepsin K gene expression with serum RF levels (Table 2). However, the most important observation was related to a negative correlation between ULK1 baseline gene expression and the number of tender joints measured at the end of the study (Table 2). In contrast, baseline ULK1 gene expression versus that at the end of follow-up in the same RA patients revealed a positive correlation (Spearman’s correlation coefficient , ).

Table 2: Spearmen’s correlation coefficients and their significance () are shown for the baseline expression of the examined genes in relation to immunological markers at the end of one cycle of RTX treatment of RA patients ().

Clinical and immunological indices after one cycle of RTX therapy ()
ULK1
P21
Caspase 3
MMP-9
Cathepsin K

АСPA
0.736
p = 0.004

0.710
p = 0.006
0.600
p = 0.02

RF

0.582
p = 0.01

0.616
p = 0.01

Number of tender joints
−0.514
p = 0.04

Plotting cathepsin K and MMP-9 gene expression in PBMCs versus articular cartilage from the same 18 patients with long-standing RA revealed a significant correlation (Pearson’s correlation coefficient ; ) for only cathepsin K (Figure 2).

Figure 2: A relationship between cathepsin K gene expression measured in the blood or articular cartilage from long-standing RA patients ().

3.2. Protein Expression of Phospho-p70-S6K, p21, MMP-9, and Active Caspase 3 in Isolated PBMCs

To further investigate the clinical significance of MTOR, p21, MMP-9, and caspase 3 relative gene expression in whole blood from RA patients we analyzed the protein levels of phospho-p70-S6K serine/threonine kinase (a direct target for phosphorylation by mTOR [33, 34]), p21, MMP-9, and active caspase 3 in the PBMC fraction. These studies showed that at baseline phospho-p70-S6K, MMP-9, and caspase 3 protein concentrations in PBMCs were significantly higher in RA patients than in healthy controls (Figure 3). At the end of the study, protein expression of phospho-p70-S6K, p21, and caspase 3 was close to control values, whereas the MMP-9 concentration though significantly decreased compared to the baseline remained much higher than those of healthy subjects.

(a)

(b)

(c)

(d)

Figure 3: Protein concentrations of phospho-p70-S6K (a), p21 (b), active caspase 3 (c), and MMP-9 (d) measured using ELISA in PBMCs from RA patients () compared to controls (). Asterisks () indicate significant differences from the healthy control patients in pairwise comparisons (Mann-Whitney test). The number signs () show significant differences from baseline in pairwise comparisons (Wilcoxon matched pairs test).

3.3. Clinical, Immunological, and Radiological Parameters at Baseline and Six Months and the Therapeutic Response to RTX in Rheumatoid Arthritis Patients

The mean disease duration at enrollment was years. Seven patients had Steinbrocker’s radiographic stage II; another seven had stage III; and two patients had stage IV both at baseline and after six months of follow-up (Table 3). All of the patients were ACPA-positive, whereas 15 of 16 were RF positive at baseline. The average ACPA and RF levels did not change significantly through the course of treatment. RF IgM levels reached normal values in only two of the examined patients by the end of the study. ESR and CRP levels despite a significant decrease () remained high by the end of the study and only eight and four patients, respectively, reached normal values. Most patients (14 out of 16) exhibited high disease activity (DAS28 > 5.1) at study entry. The DAS28 index decreased significantly after six months of follow-up (). An average change in the disease activity score (ΛDAS) was 2.6 (varied from 1.2 to 5.0). All of the patients were responsive to RTX with 1.2 or higher ΛDAS values observed after six months of follow-up. However, only three patients fulfilled the remission criteria (DAS28 < 2.6), and low disease activity (2.6 < DAS28 < 3.2) was observed in five patients. Another five patients exhibited moderate disease activity (3.2 < DAS28 < 5.1), whereas three patients maintained high disease activity at the end of the study.

Table 3: Clinical, immunological, and radiological parameters at baseline and after one cycle of RTX treatment in rheumatoid arthritis patients ().

Patients
At baseline
()
Ме  25; 75
After one cycle of RTX treatment
()
Ме  25; 75

(Wilcoxon matched pairs test)

RF, mU/L
(range)
282.5 143.5; 455 
(9.5–1980)
172 96.5; 538.5 
(9.5–541.8)
0.67

ACPA, U/mL
(range)
200 111.6; 332.2 
(46.2–3016.1)
328.5 121.2; 501 
(0.1–501)
0.54

CRP, mg/mL
(range)
27.1 11.6; 44.1 
(5.9–154)
7.9 5.6; 20.2 
(0.4–38.9)
0.01

ESR, mm 
(range)
45 35.5; 62.5 
(8–87)
21 16.5; 36 
(5–56)
0.001

DAS 28
(range)
6.3 5.7; 7.1 
(4.2–7.6)
3.5 2.7; 4.5 
(1.3–6.44)
0.0001

Δ DAS 28
(range)

2.6 1.2; 3.7 
(1.2–5.0)

Stiffness
(range)
135 45; 210 
(0–240)
7.5 0; 35 
(0–120)
0.001

Number of swollen joints
(range)
7 2.5; 10.5 
(2–15)
1 0.5; 4 
(0–8)
0.001

Number of tender joints
(range)
16.0 10; 23.5 
(4–26)
2 1; 7 
(0–28)
0.001

Erosion number
(range)
7 0; 22 
(0–24)
6 0; 22 
(0–23)
0.5

Joint space narrowing
(range)
65 19; 91 
(8–95)
76 33; 91 
(17–95)
0.25

CD19+ В-cells amounts (%)
10.3 4.2; 13.5 
(3.3–24.8)
0.06 0; 0.32 
(0–0.9)
0.0002

These findings were associated with significant decreases in morning stiffness and the number of swollen and tender joints at the end of the study. However, swollen joints were observed in 12 of 16 patients, whereas tender joints were found in 13 of 16 patients by the end of follow-up. All of the RA patients demonstrated almost complete depletion of CD19+ B-cells (). The number of bone erosions showed no change, whereas the joint space narrowing score slightly increased after one-year followed treatment compared to baseline values.

4. Discussion

Almost all phenotypic aspects of RA are determined by pathophysiological processes encoded by genes and their products, which are responsible for the unique pathogenesis of the disease [37, 38]. Therefore, our longitudinal study on the changes in gene expression in peripheral blood from RA patients during RTX therapy permitted some insights into the mechanisms of drug action at the molecular level.

In particular, the improvement in clinical indices was associated with decreased expression of genes responsible for regulating cell proliferation (MTOR, p21), survival (ULK1), and apoptosis (caspase 3) in the peripheral blood from RA patients after RTX treatment to the level observed in healthy controls. This finding might indicate the recovery of a healthier cellular phenotype in these cells. Downregulation of caspase 3 expression in the examined RA patients to the level of healthy subjects after RTX therapy contradicts the notion that stimulation of apoptosis could be one of the mechanisms for RTX-mediated B-cell elimination [39] and supports a belief that the ability of RTX to induce apoptosis is very low [40]. We also noted a difference in the gene expression outcome after RTX treatment with the MTX effects observed in our previous studies where the gene expression of ULK1, p21, and caspase 3 was still upregulated at the end of the follow-up period in blood from RA patients treated with MTX [26].

The significant decrease in MMP-9 gene expression compared to baseline and downregulation of cathepsin K expression to healthy control values were accompanied by the absence of any increase in the erosion number and a negligible increase in joint space narrowing one year after RTX treatment. Because these genes are responsible for bone and articular cartilage destruction in RA [41], our results support previous observations for the ability of RTX to slow joint degeneration [17]. In contrast, after MTX therapy for RA patients, MMP-9 and cathepsin K gene expression remained upregulated, and this finding was associated with persistent joint degrading activity [26]. Moreover, a positive correlation of cathepsin K gene expression in the peripheral blood and articular cartilage of the same patients with long-standing RA who were undergoing arthroplasty indicates that this gene expression in the blood might mirror its activity in the joint and serve a blood-based marker for joint degradation.

The gene expression changes observed here were accompanied by almost complete B-cell depletion in the blood, which was also noted in other studies [42, 43]. We also observed a significant decrease in disease activity (registered by DAS28), stiffness, number of tender and swollen joints, ESR, and CRP serum levels. Although all of the patients responded to RTX therapy as demonstrated by a decrease in DAS28 ≥ 1.2, their average disease activity decreased only to a moderate level and was accompanied by increased serum levels of RF, ACPA, ESR, and CRP, stiffness, and persistence of several tender and swollen joints.

Retention of the inflammatory process, as manifested by the maintenance of swollen joints in 12 of 16 patients and moderate disease activity, was observed despite a significant decrease in TNFα and IL-1β gene expression to the level found in healthy controls. The remaining inflammation might be associated with a high residual expression of COX2 and IFNα, which were shown to be capable of inducing RA symptoms [44–47]. This finding supports previous observations that RTX can slow joint destruction independent of clinical outcome [17].

In addition, high residual expression of MMP-9 and COX2 could be associated with joint pain maintenance in the majority of the examined RA patients because these gene products were previously found to be responsible for neuropathic pain in animal studies [48, 49].

Although association of autophagy in pain processing is not sufficiently studied at present [50], autophagy might be involved in pain control as its induction by rapamycin, pentobarbital, or morphine was accompanied by long-lasting analgesic effects while its inhibition by chloroquine or miR-195 aggravated neuropathic pain following peripheral nerve injury in animal studies [51–54]. A positive correlation of baseline ULK1 expression with that at the end of the follow-up indicates an improved capacity of RA patients with high baseline ULK1 gene expression to maintain sufficient levels of autophagy activity for pain regulation. This is supported by the observation that stimulation of autophagy was associated with suppression of clinical arthritis and inflammatory cytokine production in RA [55, 56]. Therefore, a negative correlation observed here for baseline expression of autophagy-related ULK1 gene with the number of tender joints at the end of RTX therapy suggests that RA patients with high expression of this gene might better respond to RTX in terms of pain control. Therefore, controlling ULK1 expression before RTX therapy could be reasonable.

In conclusion, our study shows that after one cycle of RTX therapy the improvement in clinical and laboratory indices in RA patients was associated with the downregulation of the non-tissue specific regulatory genes MTOR, ULK1, p21, caspase 3, cytokines TNFα and IL-1β, and protease cathepsin K to healthy control levels. The maintenance of increased expression of MMP-9, IFNα, and COX2 might be associated with persistent moderate disease activity and maintenance of tender and swollen joints in the majority of RA patients after one cycle of RTX therapy. In addition, a high baseline gene expression of ULK1 might indicate a better response to RTX treatment in terms of pain control. Further studies involving larger patient cohorts are required to confirm our observations and to identify new gene expression biomarkers for personalized prediction of RTX response.

Disclosure

The sponsor had no role in the study design or execution, data analysis, writing of the paper, or the decision to submit the paper for publication.

Conflict of Interests

The authors declare that they have no conflict of interests.

Acknowledgment

This study was supported by the Russian Foundation for Basic Research (Project no. 12-04-00038a to Elena V. Tchetina).

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