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. 2013 Jun 24;15(3):R69. doi: 10.1186/ar4246

High serum sCD163/sTWEAK ratio is associated with lower risk of digital ulcers but more severe skin disease in patients with systemic sclerosis

Otylia Kowal-Bielecka 1,✉, Marek Bielecki 2, Serena Guiducci 3, Beata Trzcinska-Butkiewicz 4, Małgorzata Michalska-Jakubus 5, Marco Matucci-Cerinic 3, Marek Brzosko 4, Dorota Krasowska 5, Lech Chyczewski 6, Krzysztof Kowal 7
PMCID: PMC4060194  PMID: 23800379

Abstract

Introduction

Systemic sclerosis (SSc) is an autoimmune disease characterized by chronic inflammation, vascular injury and excessive fibrosis. CD163 is a scavenger receptor which affects inflammatory response and may contribute to connective tissue remodelling. It has recently been demonstrated that CD163 can bind and neutralize the TNF-like weak inducer of apoptosis (TWEAK), a multifunctional cytokine which regulates inflammation, angiogenesis and tissue remodelling. We aimed to investigate the relationships between serum levels of soluble CD163 (sCD163) and soluble TWEAK (sTWEAK) in relation to disease manifestations in SSc patients.

Methods

This study included 89 patients with SSc who had not received immunosuppressive drugs or steroids for at least 6 months and 48 age- and sex-matched healthy controls (HC) from four European centres. Serum concentrations of sTWEAK and sCD163 were measured using commercially available ELISA kits.

Results

The mean serum concentrations of sTWEAK were comparable between SSc patients (mean +/- SD: 270 +/- 171 pg/mL) and HC (294 +/- 147pg/mL, P >0.05). Concentration of sCD163 and sCD163/sTWEAK ratio were significantly greater in SSc patients (984 +/- 420 ng/mL and 4837 +/- 3103, respectively) as compared to HC (823 +/- 331 ng/mL and 3115 +/- 1346 respectively, P <0.05 for both). High sCD163 levels and a high sCD163/sTWEAK ratio (defined as > mean +2SD of HC) were both associated with a lower risk of digital ulcers in SSc patients (OR, 95%CI: 0.09; 0.01, 0.71, and 0.17; 0.06, 0.51, respectively). Accordingly, patients without digital ulcers had a significantly higher sCD163 concentration and sCD163/sTWEAK ratio as compared to SSc patients with digital ulcers (P <0.01 for both) and HC (P <0.05 for both). A high sCD163/sTWEAK ratio, but not high sCD163 levels, was associated with greater skin involvement.

Conclusions

The results of our study indicate that CD163-TWEAK interactions might play a role in the pathogenesis of SSc and that CD163 may protect against the development of digital ulcers in SSc. Further studies are required to reveal whether targeting of the CD163-TWEAK pathway might be a potential strategy for treating vascular disease and/or skin fibrosis in SSc.

Introduction

Systemic sclerosis (SSc, scleroderma) is a chronic, autoimmune disease, which affects skin, the lungs, heart, gastrointestinal tract and the kidneys. Excessive production of extracellular matrix by activated fibroblasts and widespread vascular injury are believed to play a key role in the pathogenesis of SSc. In addition, inflammatory infiltrates consisting mainly of mononuclear cells are found in the skin and affected organs, in particular in the early stage of the disease [1,2].

CD163 is a member of the scavenger receptor cysteine-rich (SRCR) family, which is expressed exclusively in monocytes/macrophages and takes part in the uptake of circulating haptoglobin-haemoglobin complexes [3,4]. Shedding of membrane CD163 through a proteolytic process produces soluble CD163 molecule (sCD163), which can be detected in body fluids [5-7]. Both membrane bound and soluble CD163 (sCD163) exert strong anti-inflammatory effects [8]. Uptake of haptoglobin-haemoglobin complexes by CD163-expressing macrophages leads to increase in production of interleukin-10 and expression of haeme oxygenase -1 [9]. Soluble CD163 can directly inhibit T cells proliferation [10,11]. Expression of CD163 on tissue macrophages increases during the resolution phase of acute inflammatory response [8]. Similarly, increase in plasma levels of sCD163 and expression of CD163 on monocytes have been associated with lack of prolonged airway inflammation after allergen challenge in asthmatic patients [12]. Moreover, expression of CD163 increases during the wound healing phase, indicating a possible role of CD163 in the regulation of connective tissue remodelling [13,14].

Recently, it has been shown that CD163 can specifically bind and neutralize TNF-like weak inducer of apoptosis (TWEAK), a newly identified pleiotropic cytokine belonging to the TNF-α superfamily of cytokines [15]. TWEAK is involved in the regulation of inflammation, angiogenesis and tissue repair and remodelling [16,17]. Interacting with its specific receptor, fibroblast growth factor-inducible 14 (Fn14) (TWEAKR), TWEAK activates NF-kB and mitogen-activated protein (MAP) kinase pathways and induces production of pro-inflammatory mediators, including interleukin-6, interleukin-8, monocyte chemotactic protein-1 and several metalloproteinases by different cell types, including macrophages, fibroblasts, and endothelial cells [17-21]. TWEAK also stimulates endothelial cell migration, proliferation and survival and cooperates with other pro-angiogenic factors such as vascular endothelial growth factor (VEGF) and fibroblast growth factor (FGF) in the regulation of development of new blood vessels [16]. Moreover, TWEAK can directly activate fibroblasts [19-21].

As mentioned above, binding of TWEAK to CD163 neutralizes TWEAK and in this way inhibits its function [15]. Moreover, it has recently been shown that CD163-expressing monocytes/macrophages are able to bind and internalize exogenous TWEAK [22]. It has also been shown that sCD163/sTWEAK ratio in peripheral blood is a more sensitive biomarker of subclinical atherosclerosis than sCD163 or sTWEAK alone, indicating that interactions between TWEAK and CD163 might play an important role in vivo [22]. Since both CD163 and TWEAK have been implicated in the regulation of fibroblast function, their interactions might also be of importance for connective tissue remodelling.

Only a few papers have reported on the evaluation of serum levels of sCD163 or sTWEAK in SSc. However, none have addressed the issue of the mutual relationship between sCD163 and sTWEAK in SSc [23-25]. Taking into account molecular interaction between TWEAK and CD163 molecules, in the present study we evaluated concentration of both proteins in a sample of 89 SSc patients and 48 healthy controls.

Patients and methods

Eighty-nine patients and appropriate healthy controls (HC) from four clinical centres were enrolled. All patients fulfilled the American College of Rheumatology (ACR) classification criteria for SSc and/or Medsger and LeRoy criteria for early SSc [26,27]. Only patients who had not received immunosuppressive therapies or steroids for at least 6 months before the study were considered eligible. In addition, all patients with known coronary artery disease, clinical manifestations of atherosclerosis, such as stroke or peripheral obliterative arterial disease, as well as those with symptoms of infection were excluded from the study. Patients were classified as having diffuse cutaneous SSc (dSSc) or limited cutaneous SSc (lSSc) as defined by LeRoy and Medsger [28]. Patients' assessment included evaluation of duration of Raynaud's phenomenon and duration of the disease defined from the first non-Raynaud's symptom attributable to SSc. In order to better understand the relationship between disease duration and changes in expression of investigated molecules, patients were divided into those with short- and long-term disease. In agreement with previous studies, patients were considered as having short-term disease if disease duration was not longer than 3 years in dSSc or 5 years in lSSc measured from the first non-Raynaud symptom [29-31]. Accordingly, patients with dSSc in whom disease lasted longer than 3 years and patients with lSSc in whom disease lasted longer than 5 years were considered as having long-term disease.

The extent of skin involvement was assessed using the modified Rodnan skin score (mRSS), as described elsewhere [32]. The presence of scleroderma interstitial lung disease (ILD) was defined based on the typical findings in high resolution computed tomography (HRCT) of the lungs. Pulmonary function tests were used for assessment of the severity of lung involvement and included measurements of forced vital capacity (FVC) and diffusion capacity of the lungs for carbon monoxide (DLCO). Pulmonary artery systolic pressure (PASP) was calculated based on the tricuspid regurgitation velocity on Doppler echocardiography. The presence of pulmonary hypertension (PH) was defined as PASP higher than 45 mmHg, which was shown to have 95% specificity versus right heart catheterization, which is considered a gold standard for diagnosis of PH [33]. Scleroderma renal crisis was defined as new renal insufficiency with or without arterial hypertension, which could not be explained other than by SSc.

As in previous studies, digital ulcers (DU) were defined as a painful area of loss of tissue located on the volar surface of the fingertips or around the nail distal to the proximal interphalangeal digital crease, present at the time of blood collection [34].

The presence of antinuclear antibodies (ANA) and anticentromere antibodies (ACA) was assessed by indirect immunofluorescence and the presence of anti-topoisomerase antibodies (anti-topo I) was evaluated using ELISA. Erythrocyte sedimentation rate (ESR) was used as a laboratory parameter of activity of systemic inflammation.

The control group consisted of 48 age- and sex-matched healthy subjects without evidence of any disease including atherosclerosis or infection (Table 1).

Table 1.

Clinical characteristics of the patients with systemic sclerosis and the control group.

Parametera SSc patients
(n = 89)		 Controls
(n = 48)
Female/male ratio 80/9 42/6c
Age, years 57.23 ± 12.31 53.71 ± 14.38c
Disease duration, yearsb 10.65 ± 9.00
Duration of Raynaud's phenomenon, years (data available for 54 patients only) 9.59 ± 8.45
dSSc/lSSc, number of patients 20/69
ANA-positive, n (%) patients 84 (94.38)
Anti-topo I-positive, n (%) patients 35 (39.33)
ACA-positive, n (%) patients 33 (37.08)
ILD by HRCT/radiograph, n (%) patients 55 (61.78)
Pulmonary hypertension, n (%) patients (data available for 81 patients only) 4 (4.94)
Digital ulcers, n (%) patients 38 (42.70)
Scleroderma renal crisis, n (%) patients 0
Arterial hypertension, n (%) patients 8 (9.00) 0
CCBs, n (%) patients
Pentoxyphylline, n (%) patients
ACEIs, n (%) patients
Sildenafil, n (%) patients
NSAIDs, n (%) patients		 27 (30.34)
33 (37.08)
12 (13.48)
4 (4.49)
13 (14.61)		 0
0
0
0
0
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Values are given as mean ± SD unless stated otherwise. aData available for 89 patients unless stated otherwise; bcalculated from the time of the first non-Raynaud's symptom attributable to SSc; cstatistically non-significant (P >0.05). ACA, anticentromere antibodies; ACEIs, angiotensin-converting enzyme inhibitors; ANA, antinuclear antibodies; CCBs, calcium channel blockers; dSSc, diffuse systemic sclerosis; HRCT, high resolution computed tomography; lSSc, limited systemic sclerosis; ILD, scleroderma interstitial lung disease; NSAIDs, non-steroidal anti-inflammatory drugs. Detailed definitions of particular organ involvement are given in the methods section.

The study protocol was approved by the bioethics committee at the Medical University of Bialystok, and informed consent was obtained from all patients.

Measurements of sCD163 and sTWEAK in the sera

Peripheral blood was collected from cubical vein after the patient had fasted for at least 10 hours; the blood was allowed to coagulate for 30 minutes. Subsequently, samples were centrifuged, and sera were collected and stored at -80°C until measurements were taken [35]. Serum sCD163 and sTWEAK levels were measured using commercially available ELISA kits (sCD163 from R&D Systems, Inc. Minneapolis, MN, USA; sTWEAK from Bender Medsystems, Vienna, Austria) according to the protocol provided by the manufacturer.

Statistical analysis

For between-group comparisons, the Kruskal-Wallis test, the Mann-Whitney U-test and Fisher's test were used, as appropriate. Correlations between continuous values were evaluated using Spearman's rank test. Potential relationships between individual parameters were assessed using univariate and multivariate regression analysis. All parameters with P <0.1 in univariate regression analysis were included in multivariate regression. For all other tests P <0.05 was considered significant. Values are given as mean and SD unless stated otherwise. Values in SSc patients higher than the mean + 2 SD of the control group were considered high. To assess the association between high concentrations of soluble proteins, or high sCD163/sTWEAK ratio and the presence of DU, the odds ratio (OR) with 95% CI was calculated.

Results

Clinical characteristics of SSc patients

Of the patients, 20 (23%) had dSSc and the remaining 69 (77%) had lSSc. HRCT of the lungs revealed ILD in 55 patients (62%). PH was found in 4 out of 81 (5%) patients in whom the results of echocardiography were available. Thirty-eight patients (43%) had DU at the time of the study. None of the patients had scleroderma renal crisis. ANA, anti-topo I antibodies and ACA were found in 84 (94%), 35 (39%) and 33 (37%) patients, respectively. Arterial hypertension of unknown cause (considered essential) was found in 8 SSc patients (9%) and none of the control subjects. When enrolled into the study, 27 SSc patients (30%) were being treated with calcium channel blockers (CCBs), 33 (37%) with pentoxyphylline, 12 (14%) with angiotensin-converting enzyme inhibitors (ACEIs), 4 (5%) with sildenafil and 13 (15%) with non-steroidal anti-inflammatory drugs (NSAIDs). Detailed clinical characteristics of the SSc patients are presented in Table 1.

Serum concentrations of sCD163 and sTWEAK

The mean concentration of sCD163 in patients with SSc (mean ± SD 984 ± 420 ng/mL, range 302 to 2,275 ng/mL) was significantly higher than in HC (823 ± 331 ng/mL, range 329 to 1,659 ng/mL; P = 0.023) (Figure 1). High sCD163 concentration, defined as greater than the mean + 2 SD of the value in HC (1,485 ng/mL), was found in 13 SSc patients (15%). Comparison of those 13 SSc patients with high sCD163 concentration with the remaining 76 SSc patients revealed that patients with high serum sCD163 were less likely to have DU compared with those with normal sCD163 concentration (Table 2). Indeed, DU were present in only one out of thirteen (8%) SSc patients with high serum sCD163 concentration compared with 37 out of 76 (48%) SSc patients with normal sCD163 levels (OR 0.09, 95% CI 0.01, 0.71; P <0.05). Accordingly, the mean concentration of sCD163 in patients without DU (1,119 ± 439 ng/mL) was significantly higher than in patients with DU (802 ± 317 ng/mL, P = 0.002) (Figure 1). Moreover, the mean concentration of sCD163 in the former subgroup of SSc patients was significantly higher than in HC (P = 0.0008), whereas the mean concentration of sCD163 in SSc patients with DU did not differ significantly from the control group (P >0.05) (Figure 1).

Figure 1.

Figure 1

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Serum concentration of sCD163 in patients with systemic sclerosis (SSc) and healthy controls. Concentration of sCD163 in the sera of all SSc patients (SSc), SSc patients without digital ulcers (DU-), SSc patients with digital ulcers (DU+) and healthy controls. Closed circles represent values in individual subjects, bars represent the mean values of the groups, and horizontal lines the appropriate SDs. NS, not significant.

Table 2.

Comparison of demographic, clinical and laboratory features of SSc patients with high and normal concentration of sCD163 and high and normal sCD163/sTWEAK ratios.

Characteristica sCD163 sCD163/sTWEAK
High* (n = 13) Normal (n = 76) P-value High* (n = 29) Normal (n = 60) P-value
Age, years 56.08 ± 16.11 57.42 ± 11.67 NS 59.38 ± 12.86 56.18 ± 12.01 NS
Disease duration, years 8.23 ± 6.91 11.66 ± 9.29 NS 11.53 ± 7.81 10.23 ± 9.55 NS
Duration of RP (data available for 54 patients), years 11.46 ± 8.04 9.11 ± 8.58 NS 10.36 ± 7.55 9.32 ± 8.82 NS
DSSc, n/total 5/13 (38.46%) 15/76 (19.74%) NS 10/29 (34.48%) 10/60 (16.67%) 0.055
mRSS (data available for 72 patients) 10.92 ± 9.78 7.95 ± 6.58 NS 12.30 ± 9.68 6.63 ± 4.85 0.0085
ILD, n/total 9/13 (69.23%) 46/76 (60.53%) NS 17/29 (58.6%) 38/60 (63.33%) NS
PH, n/total (data available for 81 patients) 2/13 (15.39%) 2/68 (2.94%) NS 2/29 (6.90%) 2/52 (3.85%) NS
FVC (data available for 75 patients), % of predicted 86.33 ± 19.89 94.56 ± 21.61 NS 95.42 ± 23.40 92.37 ± 20.26 NS
DLCO (data available for 53 patients), % of predicted 74.38 ± 22.94 80.10 ± 30.32 NS 73.16 ± 24.73 82.19 ± 30.97 NS
PASP (data available for 56 patients), mmHg 32.86 ± 12.03 29.23 ± 10.99 NS 29.00 ± 9.25 30.13 ± 12.23 NS
Digital ulcers, n/total 1/13 (7.69%) 37/76 (46.68%) 0.005 5/29 (17%) 33/60 (55%) 0.0006
Anti-topo I, n/total 4/13 (30.77%) 31/76 (40.79%) NS 10/29 (35%) 25/60 (41.67%) NS
ACA, n/total 3/13 (23.08%) 30/76 (39.47%) NS 9/29 45%) 24/60 (40%) NS
ESR (data available for 51 patients), mm/h 28.18 ± 21.05 21.78 ± 19.27 NS 19.64 ± 11.47 24.49 ± 21.93 NS
Arterial hypertension, n/total 2/13 (15.39%) 6/76 (7.90%) NS 3/29 (10.35%) 5/60 (8.33%) NS
CCBs, n/total
Pentoxyphylline, n/total
ACEIs, n/total
Sildenafil, n/total
NSAIDs, n/total		 3/13 (23.08%)
5/13 (38.46%)
4/13 (30.77%)
1/13 (7.69%)
3/13 (23.08%)		 25/76 (32.90%)
29/76 (38.16%)
8/76 (10.53%)
3/76 (3.95%)
10/76 (13.16%)		 NS
NS
NS
NS
NS		 8/29 (27.58%)
7/29 (24.14%)
4/29 (13.79%)
1/29 (3.45%)
4/29 (13.79%)		 19/60 (31.67%)
26/60 (43.33%)
8/60 (13.33%)
3/60 (5.00%)
9/60 (15.00%)		 NS
NS
NS
NS
NS
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Because high concentrations of sTWEAK were found in two SSc patients only, no reliable statistical comparisons between SSc patients with high and those with normal sTWEAK concentration could be performed. Values are given as mean ± SD unless stated otherwise. aData available for 89 patients unless stated otherwise. *The high concentration of sCD163 and high sCD163/sTWEAK ratio was defined as a value greater than the mean + 2 SD of the value in healthy controls. sTWEAK, soluble tumour necrosis factor-like weak inducer of apoptosis; NS, not significant (P >0.05); ACA, anticentromere antibodies; ACEIs, angiotensin-converting enzyme inhibitors; ANA, antinuclear antibodies; CCBs, calcium channel blockers; DLCO, diffusing capacity of the lungs for carbon monoxide; dSSc, diffuse systemic sclerosis; ESR, erythrocyte sedimentation rate; FVC, forced vital capacity; HRCT, high resolution computed tomography; ILD, scleroderma interstitial lung disease; mRSS, modified Rodnan skin score; NSAIDs, non-steroidal anti-inflammatory drugs; PASP, pulmonary artery systolic pressure; PH, pulmonary hypertension; RP, Reynaud's phenomenon.

No significant association or correlation was found between serum sCD163 concentration and any other clinical or laboratory factor (Tables 2 and 3). There were no significant differences in serum concentration of sCD163 between SSc patients receiving different therapies or between those with and without arterial hypertension (data not shown), nor any other significant associations between different treatments or the presence of arterial hypertension and sCD163 levels (Table 2).

Table 3.

Correlations between sCD163, sTWEAK and sCD163/sTWEAK ratio and clinical and laboratory parameters of patients with systemic sclerosis.

Parameter
(number of subjects)		 R Spearman (P-value)
sCD163 sTWEAK sCD163/sTWEAK
Disease duration (89) -0.09
(P >0.05)		 -0.32
P = 0.002		 0.23
P = 0.03
Duration of Raynaud's phenomenon (54) 0.14
(P >0.05)		 0.11
(P >0.05)		 0.03
(P >0.05)
mRSS (82) 0.03
(P >0.05)		 -0.08
(P >0.05)		 0.13
(P >0.05)
FVC (75) -0.06
(P >0.05)		 -0.22
(P >0.05)		 0.09
(P >0.05)
DLCO (53) -0.09
(P >0.05)		 -0.05
(P >0.05)		 -0.02
(P >0.05)
PASP (57) -0.14
(P >0.05)		 -0.20
(P >0.05)		 0.11
(P >0.05)
ESR (51) 0.15
(P >0.05)		 0.07
(P >0.05)		 0.04
(P >0.05)
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sTWEAK, soluble tumour necrosis factor-like weak inducer of apoptosis; DLCO, diffusing capacity of the lungs for carbon monoxide; ESR, erythrocyte sedimentation rate; FVC, forced vital capacity; mRSS, modified Rodnan skin score; PASP, pulmonary artery systolic pressure.

The mean serum concentrations of sTWEAK were comparable between patients with SSc (270 ± 171 pg/mL, range 56 to 1,135 pg/mL) and HC (294 ± 147 pg/mL, range 132 to 1,015 pg/mL, P >0.05) (Figure 2). In SSc patients sTWEAK showed a weak inverse correlation with duration of SSc (R = -0.32 P = 0.002) (Table 3). Accordingly, concentration of sTWEAK was significantly greater in 33 patients with short-term SSc (334 ± 222 pg/mL) as compared to the remaining 56 SSc patients with longer disease duration (232 ± 120 pg/mL, P = 0.01) (Figure 2). The mean concentration of sTWEAK in SSc patients with short-term disease did not differ significantly from the control group (P = 0.7) while sTWEAK levels in SSc patients with longer disease duration was significantly diminished compared with HC (P = 0.02). However, in multivariate regression analysis including disease duration and other clinical parameters of the disease, no significant association between sTWEAK and disease duration was found (data not shown).

Figure 2.

Figure 2

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Serum concentration of soluble tumour necrosis factor-like weak inducer of apoptosis (sTWEAK) in patients with systemic sclerosis (SSc) and controls. Concentration of sTWEAK in the sera of all SSc patients (SSc), SSc patients with short-term disease (defined as not longer than 3 years in diffuse SSc and not longer than 5 years in limited SSc), those with longer disease duration and healthy controls. Closed circles represent values in individual subjects, bars represent the mean values of the groups, and horizontal lines the appropriate SDs. NS, not significant.

High sTWEAK concentration (above the mean + 2SD of the control group, which was 588 pg/mL) was found in two patients only (Figure 2). Because of the small number of SSc patients with high sTWEAK levels, no reliable statistical comparisons between SSc patients with high or normal sTWEAK concentration were performed. There were no further significant associations between sTWEAK and clinical or laboratory parameters of the disease in SSc patients (Tables 2 and 3). There were no significant differences in serum concentration of sTWEAK between SSc patients receiving different therapies or between those with and without arterial hypertension (data not shown). Serum concentrations of sCD163 and sTWEAK did not correlate with each other either in patients with SSc (R = -0.05, P >0.05) or in the whole group (R = 0.1, P >0.05).

sCD163/sTWEAK ratio and clinical and laboratory parameters of disease

The mean sCD163/sTWEAK ratio was significantly higher in patients with SSc (4,837 ± 3,103, range 660 to 14,440) compared with HC (3,115 ± 1,346, range 980 to 6,160; P <0.001) (Figure 3). High sCD163/sTWEAK ratio (greater than the mean + 2SD of HC, which was 5,807) was found in 29 (33%) SSc patients. Comparison of those 29 SSc patients with high sCD163/sTWEAK ratio to the remaining 60 SSc patients showed that high sCD163/sTWEAK ratio was associated with greater skin involvement as indicated by higher mRSS (Table 2). The diffuse form of the disease was twice as frequent (35%) in patients with high sCD163/sTWEAK ratio as in SSc patients with normal sCD163/sTWEAK ratio (18%), but the difference was of borderline significance (P = 0.055) (Table 2). Moreover, patients with high sCD163/sTWEAK ratio had lower risk of DU (Table 2): 5 out of 29 (17%) of the SSc patients with high sCD183/sTWEAK ratio had DU at the time of the study compared with 33 out of 60 (55%) of those with normal sCD183/sTWEAK ratio (OR 0.17, 95% CI 0.06, 0.51; P <0.05). The sCD163/sTWEAK ratio was significantly greater in patients without DU (5,664 ± 3,158) compared with patients with DU (3,727 ± 2,687, P = 0.001) (Figure 3). The sCD163/sTWEAK ratio in patients without DU was also significantly greater as compared with HC (P = 0.0001) (Figure 3).

Figure 3.

Figure 3

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sCD163/soluble tumour necrosis factor-like weak inducer of apoptosis (sTWEAK) in patients with systemic sclerosis (SSc) and healthy controls. sCD163/sTWEAK ratio in the sera of all SSc patients (SSc), SSc patients without digital ulcers (DU-), SSc patients with digital ulcers (DU+) and healthy controls. Closed circles represent values in individual subjects, bars represent the mean values of the groups, and horizontal lines the appropriate SDs. NS, not significant.

In the whole group of SSc patients, sCD163/sTWEAK ratio showed a weak correlation with duration of the disease (R = 0.23, P = 0.03). However, the sCD163/sTWEAK ratio was not significantly different between patients with shorter disease duration (4,101 ± 2,650) compared with patients with longer duration of SSc (5,271 ± 3,287, P = 0.09).

In multivariate regression analysis, including mRSS, the presence of DU and disease duration as independent values, only mRSS (β coefficient = 0.35, P <0.01) and the presence of DU (β coefficient = -0.38, P <0.001) but not disease duration (β coefficient = 0.2, P >0.05) were independently associated with sCD163/sTWEAK ratio.

No significant association or correlation was found between the sCD163/sTWEAK ratio and other clinical or laboratory features of the disease (Tables 2 and 3). There were no significant differences in sCD163/sTWEAK ratio between SSc patients receiving different therapies or between those with and without arterial hypertension (data not shown), nor any other significant associations between treatments received by SSc patients or the presence of arterial hypertension and sCD163/sTWEAK ratio (Table 2).

Both high concentration of sCD163 and high sCD163/sTWEAK ratio were associated with lower risk of DU in SSc patients (Table 2). Analysis of individual SSc patients revealed that the majority of patients (11 out of 13, 85%) with high sCD163 levels also had high sCD163/sTWEAK ratio. In the remaining 2 of the 13 SSc patients with high sCD163 levels the sCD163/sTWEAK ratio was lower than 2 SD above the mean in the controls (due to relatively high levels of sTWEAK). Correlation between concentration of sCD163 and sCD163/sTWEAK ratio in individual SSc patients is shown in Figure 4.

Figure 4.

Figure 4

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Correlation between concentration of sCD163 and sCD163/soluble tumour necrosis factor-like weak inducer of apoptosis (sTWEAK) ratio in patients with systemic sclerosis (SSc).

DU were present in 5 out of 18 (28%) SSc patients with high sCD163/sTWEAK ratios, but at a normal sCD163 level, and in none of the SSc patients who had both high sCD163 levels and sCD163/sTWEAK ratios. Thus, in our study the presence of both high sCD163 level and high sCD163/sTWEAK ratio was a better predictor of DU in SSc patients than a high sCD163/sTWEAK ratio alone.

Discussion

To the best of our knowledge this is the first study evaluating relationships between serum sCD163 and sTWEAK in patients with SSc. We show that the sCD163/sTWEAK ratio is significantly increased in patients with scleroderma compared with healthy subjects, and that a high sCD163/sTWEAK ratio is associated with greater skin involvement but lower risk of DU in SSc. Moreover, high serum concentration of sCD163 was independently associated with fewer DU, indicating that the processes that lead to elevated secretion of sCD163 and/or sCD163 itself might be involved in protection against development of DU in SSc.

In the present study the mean serum concentration of sCD163 in the whole population of SSc patients was significantly higher than in HC. Our results are in agreement with two recent reports by Nakayama et al. and Shimizu et al. In those two studies, which included 43 and 56 Japanese patients with SSc, respectively, serum concentration of sCD163 was significantly higher in scleroderma patients compared with the control group [23,24]. We have confirmed those observations in a greater population derived from several clinical centres.

CD163 is synthesized exclusively by monocytes/macrophages and originally expressed as a membrane protein, which is shed from the cell surface in a process that is dependent on proteolytic enzymes [4-6]. The shedding occurs constitutively but can also be induced by inflammatory stimuli or oxidative stress [36]. Because of the constant shedding of membrane CD163 it is assumed that the blood levels of sCD163 may reflect its overall synthesis by mononuclear phagocytes [37]. Indeed, Higashi-Kuwata et al. reported increased expression of CD163 on skin macrophages and a subset of peripheral blood mononuclear cells in SSc patients compared with healthy subjects, which is also in line with our present findings [38].

Interestingly, elevated serum sCD163 levels in our study were associated with a significantly lower risk of DU. Of note, was that previous studies had found an association between high serum sCD163 levels and greater frequency of PH or higher pulsatility index, which is a surrogate marker of kidney arterial injury [23,24]. However, neither of these two previous reports separately evaluated relationships between serum sCD163 levels and active DU [23,24]. Thus, our results and those of others indicate an association between CD163 and the involvement of blood vessels in SSc. The discrepancies between the studies concerning significant association with particular forms of vessel involvement might be attributed to the differences in the clinical profile of patients involved in different studies as well as to methodological differences in clinical assessments.

The results of our study do not allow us to make firm conclusions about the role of CD163 in the pathogenesis of DU in scleroderma. However, there are several mechanisms through which CD163 might protect against development of DU. As a scavenger receptor responsible for removal of haemoglobin-haptoglobin complexes, CD163 protects from the toxic effects of free haemoglobin and oxidative stress [39]. This function of CD163 might be of special interest in SSc because microvascular injury is a constant feature of the disease and might result in oxidative stress and increased injury to erythrocytes, with subsequent release of free haemoglobin [40]. Elevated expression of CD163 has been associated with triggering anti-inflammatory effects in response to extracellular haemoglobin [9,39]. This phenomenon might also be of relevance in SSc because inflammatory reaction, in addition to vascular disease, is believed to be responsible for increased oxidative stress in scleroderma patients [40]. It has also been shown that CD163-expressing cells possess pro-angiogenic activity and may stimulate formation of new blood vessels through activation of proliferation of endothelial cells [41]. The latter phenomenon might be directly involved in healing of DU and appears to be an appealing explanation of the association between high serum sCD163 concentration and absence of DU in SSc as observed in our study.

As discussed above, it has been shown that CD163 can bind and neutralize TWEAK, a newly identified member of the TNFα superfamily, which is involved in the regulation of inflammation, angiogenesis and connective tissue remodelling [16-21]. Although TWEAK is involved in the regulation of processes that are considered of key importance in the pathogenesis of SSc, so far only one study has investigated blood levels of sTWEAK in SSc [25]. Yanaba et al. found significantly higher levels of sTWEAK in sera from SSc patients compared with HC [25]. Unlike Yanaba et al., in the present study we did not find significant differences in the serum concentration of sTWEAK between SSc patients and the control group. The discrepancies between those two studies can be attributed to differences in the clinical characteristics of the patients. Moreover, our present findings are in agreement with our previous study showing that synthesis of sTWEAK by peripheral blood mononuclear cells is comparable between SSc patients and healthy subjects [42].

Consistent with significantly higher sCD163 concentration in SSc patients and lack of difference in sTWEAK levels between SSc patients and HC, in our study the sCD163/sTWEAK ratio was significantly increased in SSc patients compared with healthy subjects. Both high sCD163 and sCD163/sTWEAK ratio were associated with lower risk of DU, suggesting that elevated expression of CD163 plays a crucial role in that phenomenon, and the effects are not associated with its ability to neutralize TWEAK. However, in our study high sCD163/sTWEAK ratio, but not sCD163 alone, was associated with greater extent of skin fibrosis, indicating that the CD163-TWEAK interaction might be specifically involved in the progression of skin disease in SSc The significance of our findings remains to be established. At present little is known about the role of CD163 and TWEAK in the pathogenesis of fibrosis and the available evidence appears controversial. On one hand, CD163 positive macrophages, which are involved in wound healing, have been shown to exert profibrotic function [43]. Moreover, in the study by Yanaba et al., serum concentration of sTWEAK inversely correlated with the risk of ILD, indicating that TWEAK might have a protective role against the development of fibrosis in SSc patients [25]. On the other hand, the results of in vitro studies suggest that inhibition of TWEAK by CD163 might have a potential anti-fibrotic effect because, as discussed above, TWEAK can directly activate fibroblast functions [19-21]. Further studies are therefore required to explain the role of CD163-TWEAK interactions in the development of skin fibrosis in SSc.

Conclusions

In conclusion, we showed that serum concentration of sCD163 is increased in SSc patients and that high serum sCD163 level and sCD163/sTWEAK ratio are associated with lower risk of DU in patients with scleroderma. Moreover, the results of our study indicate that interactions between CD163 and TWEAK might play a role in the development of skin fibrosis. This appears of great interest with respect to improvement of the management of patients with scleroderma. Evaluation of sCD163 and sCD163/sTWEAK ratio might be helpful in the assessment of the risk of DU in SSc. Further studies are required to reveal whether the targeting of the CD163-TWEAK pathway might be a potential strategy for treating vascular disease and/or skin fibrosis in SSc.

Abbreviations

ACA: anticentromere antibodies; ACEI: angiotensin-converting enzyme inhibitor; ANA: antinuclear antibodies; anti-topo I: anti-topoisomerase antibodies; CCB: calcium channel blocker; DLCO: diffusion capacity of the lungs for carbon monoxide; DU: digital ulcers; dSSc: diffuse cutaneous systemic sclerosis; ELISA: enzyme-linked immunosorbent assay; ESR: erythrocyte sedimentation rate; FGF: fibroblast growth factor; FVC: forced vital capacity; HC: healthy controls; HRCT: high resolution computed tomography; ILD: interstitial lung disease; lSSc: limited cutaneous systemic sclerosis; mRSS: modified Rodnan skin score; NF-kB: nuclear factor-kB;

NS: not significant; NSAID: non-steroidal anti-inflammatory drug; OR: odds ratio; PASP: pulmonary artery systolic pressure; PH: pulmonary hypertension; sCD163: soluble CD163; sTWEAK: soluble tumour necrosis factor-like weak inducer of apoptosis; SSc: systemic sclerosis; TNF: tumour necrosis factor; TWEAK: tumour necrosis factor-like weak inducer of apoptosis; VEGF: vascular endothelial growth factor.

Competing interests

The authors declare that they have no Competing interests.

Authors' contributions

OKB participated in the development of the concept and design of the study, data acquisition, analysis and interpretation of the results, and manuscript writing. MBi participated in the development of the concept of the study, data acquisition, analysis and interpretation of the results, and manuscript writing. SG, BTB and MMJ participated in acquisition, analysis and interpretation of data. MMC participated in study design, acquisition, analysis and interpretation of data. MBr and DK participated in study design, acquisition, analysis and interpretation of data. LC participated in study design, data acquisition and analysis, and drafting the manuscript. KK conceived the study, participated in analysis and interpretation of the results and manuscript writing. All authors have critically revised the manuscript and approved its final version.

Contributor Information

Otylia Kowal-Bielecka, Email: otylia@umb.edu.pl.

Marek Bielecki, Email: handchir@poczta.fm.

Serena Guiducci, Email: s.guiducci@hotmail.com.

Beata Trzcinska-Butkiewicz, Email: beatatb@o2.pl.

Małgorzata Michalska-Jakubus, Email: mjm@poczta.onet.eu.

Marco Matucci-Cerinic, Email: marco.matuccicerinic@unifi.it.

Marek Brzosko, Email: brzoskom@sci.pam.szczecin.pl.

Dorota Krasowska, Email: dorota.krasowska@am.lublin.pl.

Lech Chyczewski, Email: lchycz@umb.edu.pl.

Krzysztof Kowal, Email: kowalkmd@umb.edu.pl.

Acknowledgements

This study was supported by research grants from the Medical University of Bialystok (grants no 3-60733L and 113-60783L).

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