Introduction

Systemic sclerosis (SSc) is a chronic, autoimmune connective tissue disease whose key features include immune system activation, progressive vasculopathy and accumulation of collagen in the skin and viscera [1]. The early stages of the disease are characterized by immune system dysregulation and microvascular abnormalities; however, these are later replaced by inflammation and fibrosis. Immunosuppressive therapy may prevent the progression of SSc. Worsening internal organ damage is also observed as a result of blood vessel occlusion caused by extracellular matrix deposition and fibrosis in the absence of compensatory angiogenesis. Although the agent responsible for displacing the equilibrium towards the antiangiogenic side in SSc remains unknown, it has been proposed that specific cytokines may inhibit new blood vessel formation. The authors define angiogenesis as the de novo formation of a primitive vascular network, and sprouting angiogenesis as the formation of new capillaries from existing vasculature coordinated by vascular endothelial growth factor (VEGF) [2, 3]. However, VEGF overexpression may disrupt angiogenic pathways and stop angiogenesis from proceeding past the stage of vasculogenesis.

Increased levels of VEGF cannot make up for deficits in other angiogenic cytokines [4]. Another member of the VEGF family is placental growth factor (PlGF), increased levels of which might enhance the action of VEGF by recruiting monocytes and macrophages to inflammatory lesions via vascular endothelial growth factor receptor 1 (VEGFR1) and significantly enhancing pathological angiogenesis [5, 6]. Hepatocyte growth factor (HGF) was proved to promote angiogenesis and the survival of neurons in a rat model [7]. It has also been shown that TGF-β could induce angiogenesis via VEGF-mediated apoptosis and stimulate the transformation of lymphocytes into Th17 cells [8]. Zhao et al. discovered that the granulocyte/macrophage colony-stimulating factor (GM-CSF) accelerated angiogenesis and wound healing by increasing the expression of VEGF [9].

Interleukin-17 (IL-17) has been found to influence the expression of VEGF, resulting in enhanced human retinal vascular endothelial cell (HREC) capillary tube formation [10]. It is speculated that its pro-angiogenic effect is mediated via VEGF-dependent and VEGF-independent pathways. Targeting the cytokine could therefore represent a potential therapeutic strategy against ocular neovascular diseases [11]; indeed, some reports indicate that the IL-17 cytokine family plays a key role in the pathogenesis of SSc and the process of angiogenesis [12–14]. Interestingly, the IL-17 family is known to display both angiogenic and antiangiogenic action: IL-17A stimulates new blood vessel formation, while IL-17B and IL-17F have antiangiogenic properties [15–19]. Recent findings indicate that IL-17 acts together with the complement system, cytoskeletal re-arrangement, and with VEGF and VEGF-related cytokines to exert its angiogenic effects. It predominantly targets endothelial, epithelial and stromal cells [11, 20, 21]. However, few studies have examined the potential of IL-17 to induce resistance against VEGF-blocking drugs, which are used for their anticancer and antiangiogenic properties [22, 23]. There is currently a lack of information on the interactions between known proangiogenic factors and IL-17 family cytokines and their effects in neovascularization in SSc subjects.

Therefore the aim of our study was to evaluate the angiogenic activity of IL-17 family cytokines in patients with SSc. It examines the correlations between the levels of IL-17A, IL-17B, IL-17E and IL-17F and those of proangiogenic cytokines (VEGF, PlGF, HGF, TGFβ, GM-CSF) in a group of 42 patients with SSc and another group of 20 healthy age- and gender-matched controls.

Material and methods

Forty-two patients with systemic sclerosis (SSc) were enrolled in the study: 39 women and three men. The diagnosis of SSc was made based on the 1980 criteria of the American College of Rheumatology, and the 2013 ACR/EULAR SSc Classification Criteria for SSc [24, 25]. Eleven subjects suffered from diffuse systemic sclerosis (dSSc) and 31 from limited systemic sclerosis (lSSc) in fulfillment of LeRoy’s classification [26]. The control group (n = 20) consisted of healthy age-matched (17–70 years) and gender-matched individuals, who did not have any signs, symptoms or personal history of infectious, systemic or neoplastic disease. The study was approved by the Ethical Committee of the Medical University of Lodz, and informed consent was obtained from all participants.

Clinical assessment

Thorough clinical evaluation was performed on all the enrolled patients. The exact time of onset of Raynaud’s phenomenon, thickening of the skin, duration of skin lesions and symptoms of internal organ damage were determined based on medical history. The area and severity of skin induration were evaluated according to Kahaleh et al. from 1986 (KTSS) [27]. Standard tests were carried out in all subjects: blood count, erythrocyte sedimentation rate, biochemical tests (serum creatinine, serum uric acid, AST, ALT) and urinalysis. Antinuclear antibody (ANA) levels were determined by indirect immunofluorescence (IIF) using the standard Sigma Diagnostics (USA) kit with HEp-2 tumor cells as the substrate. Precise identification was carried out using an agar gel immune-double-diffusion test, utilizing an extract of the veal thymus gland, which contains soluble nuclear antigens, as well as the Euroimmun Poland sp. z o.o. ELISA assay.

The involvement of individual organs was determined by esophageal transit scintigraphy, ECG, 24-hour Holter ECG monitoring, echocardiography, chest X-ray and high-resolution computed tomography (HRCT). A five-year follow-up found the patients with lSSc to be taking medication to improve blood circulation: pentoxifylline, a calcium channel blocker (CCB) or an angiotensin-converting enzyme inhibitor (ACEI), or a combination with vitamin E. They were also treated periodically with i.v. pentoxifylline or 10% Dextran 40 000. Some of the patients were also found to be either continuing the immunosuppressive therapy regimen that they had started earlier or one that had been modified according to clinical indications: corticosteroids such as 0.5 mg/kg BW (body weight) prednisone, or a cytotoxic agent such as 15 mg/week methotrexate or cyclophosphamide, or a combination of them. All patients with SSc were taking vasodilators; some of them were also taking corticosteroids (15 patients: nine with lSSc, six with dSSc) and/or methotrexate (4 patients: 3 with lSSc, 1 with dSSc) and/or cyclophosphamide (5 patients: 3 with lSSc, 2 with dSSc). The clinical data of the patients are presented in Table I.

Table I

Clinical data of the patients with systemic sclerosis and its limited SSc and diffuse SSc forms

CharacteristicsSystemic sclerosis
(n = 42)
Limited SSc
(n = 31)
Diffuse SSc
(n = 11)
Limited SSc
vs. diffuse SSc
Sex (female/male)39/329/210/1ns*
Age [years]54.5 ±10.354.4 ±10.754.5 ±9.5ns**
Disease duration [years]9.5 ±6.39.8 ±6.68.54 ±5.7ns**
Duration of Raynaud’s phenomenon [years]13.7 ±7.815.0 ±7.910.0 ±6.3p = 0.051**
Gastrointestinal manifestation, n (%)25 (59)17 (55)8 (73)ns*
Cardiac involvement, n (%)29 (69)19 (61)10 (91)ns*
Pulmonary fibrosis, n (%)18 (43)13 (42)5 (45)ns*
Renal abnormalities, n (%)7 (16)2 (6)5 (45)p < 0.01*
Hematological involvement, n (%)10 (24)7 (22)3 (27)ns*
Arthralgia, n (%)30 (71)21 (68)9 (82)ns*

Results are shown as number and percent. Duration is represented in years as the mean ± standard deviation.

* Fisher’s exact test,

** Mann-Whitney U test, ns – not significant, SSc – systemic sclerosis.

Measurement of cytokine concentrations

Blood samples were collected between 7 and 9 a.m. and kept at 4°C for 1 h to allow a clot to form. They were then centrifuged for 60 s at 2000 x g. Before the analysis, the obtained serum was split into aliquots and stored at –80°C. All clinical data were acquired immediately after the blood samples were taken. All medications, including immunosuppressive agents and steroid hormones, were withdrawn 24 h before sampling.

VEGF, PlGF, HGF, transforming growth factor β1 (TGF-β1), GM-CSF, IL-17A, IL-17B, IL-17E and IL-F levels were quantified in the serum by ELISA sandwich kits in accordance with the producer’s instructions (R&D Systems Inc, Minneapolis, USA). Detection limits for the protocol were as follows: VEGF = 9.0 pg/ml, PlGF = 7.0 pg/ml, HGF = 24.1 pg/ml, TGFβ1 = 3.4 pg/ml, GM-CSF = 3.0 pg/ml, IL-17A = 0 pg/ml, IL-17B = 2.5 pg/ml, IL-17E = 0 pg/ml, IL-17F = 0 pg/ml. Intra-assay variation, determined by measuring standards and samples in duplicate, was found to be within the range given by the producer.

Statistical analysis

All analyses were performed using Statistica version 12 (StatSoft, Poland). As the distribution of serum levels of IL-17 was not normal (Shapiro-Wilk test), nonparametric tests were used to analyze the data: concentrations were compared with the Mann-Whitney U test, categorical data with Fisher’s exact test, and relationships were assessed with Spearman’s rank correlation coefficient. Analysis of covariance (ANCOVA) was used to determine whether there were any significant differences between two or more independent parameters, such as the duration of Raynaud’s phenomenon, age, and gender, in relation to a dependent variable. Concentrations were presented as mean ± standard deviation, and median with lower (25th) and upper (75th) quartile (25th–75th centile). In all calculations, a p-value less than 0.05 was regarded as statistically significant.

Results

Serum concentrations of VEGF, PlGF, TGF-β1, HGF, GM-CSF, IL-17A, IL-17B, IL-17E and IL-17F in patients with systemic sclerosis (SSc), diffuse SSc (dSSc) and limited SSc (lSSc), and in the control group are displayed in Table II.

Table II

Serum concentrations of VEGF, PlGF, TGF-β1, HGF, GM-CSF, IL-17A, IL-17B, IL-17E, and IL-17F in patients with systemic sclerosis, limited SSc, diffuse SSc and controls

VariableHealthy control group (c)
n = 20
Systemic sclerosis (SSc)
n = 42
Limited SSc (lSSc)
n = 31
Diffuse SSc (dSSc)
n = 11
Comparison with Mann-Whitney
U test
VEGF [pg/ml]427 ±209
423
(336–572)
507.3 ±434.0
474
(191–595)
463.7 ±462.4
296
(161–595)
645 ±322
550
(496–938)
SSc vs. c: ns
lSSc vs. c: ns
dSSc vs. c: ns
lSSc vs. dSSc: ns
PlGF [pg/ml]11.4 ±2.5
10.5
(9.9–12.0)
19.3 ±6.5
17
(14.9–22.5)
18.6 ±6.1
16.4
(14.5–21.4
21.1 ±7.5
21.4
(15.2–26.3)
SSc vs. c: p < 0.001
lSSc vs. c: p < 0.001
dSSc vs. c: p < 0.001
lSSc vs. dSSc: ns
TGF-β1 [pg/ml]35991 ±9126
3393
(30666–38770)
781.6 ±222.8
794
(693–897)
748.5 ±239.1
784
(631–897)
874.9 ±137.5
807
(792–996)
SSc vs. c: p < 0.001
lSSc vs. c: p < 0.001
dSSc vs. c: p < 0.001
lSSc vs. dSSc: ns
HGF [pg/ml]1483 ±495
1482
(1246-1742)
1931 ±761
1867
(1419-2436)
1845.3 ±726.5
1738
(1349-2436)
2172 ±842
1961
(1675-2752)
SSc vs. c: p < 0.05
lSSc vs. c: p < 0.01
dSSc vs. c: p < 0.001
lSSc vs. dSSc: ns
GMCSF [pg/ml]0.39 ±0.38
0.3
(0.1–0.7)
0.44 ±0.64
0.3
(0.0–0.8)
0.32 ±0.61
0.1
0.7 ±0.6
0.6
(0.4–1.1)
SSc vs. c: ns
lSSc vs. c: ns
dSSc vs. c: ns
lSSc vs. dSSc: p < 0.05
IL-17A [pg/ml]0.63 ±2.0
0.0
(0.0–0.0)
1.46 ±8.56
0.0
(0.0–0.0)
0.16 ±0.64
0.0
(0.0–0.0)
5.1 ±16.7
0.0
(0.0–0.0)
SSc vs. c: ns
lSSc vs. c: ns
dSSc vs. c: ns
lSSc vs. dSSc: ns
IL-17B [pg/ml]2.6 ±5.4
0.0
(0.0–2.45)
67.0 ±71.6
41.7
(15.2–84.4)
57.7 ±61.0
28.7
(14.7–78.4)
93.2 ±94.1
56.5
(19.7–140.4)
SSc vs. c: p < 0.001
lSSc vs. c: p < 0.001
dSSc vs. c: p < 0.001
lSSc vs. dSSc: ns
IL-17E [pg/ml]0.64 ±0.76
0.25
(0.0–1.3)
8.0 ±9.1
5.5
(2.2–9.6)
7.0 ±8.3
4.7
(2.0–8.5)
10.7 ±11.1
7.3
(2.6–16.3)
SSc vs. c: p < 0.001
lSSc vs. c: p < 0.001
dSSc vs. c: p < 0.001
lSSc vs. dSSc: ns
IL-17F [pg/ml]0.0 ±0.0
0.0
(0.0–0.0)
0.42 ±1.28
(0.0–0.5)
0.5 ±1.4
0.0
(0.0–0.5)
0.0 ±0.0
0.0
(0.0–0.0)
SSc vs. c: p < 0.01
lSSc vs. c: p < 0.01
dSSc vs. c: ns
lSSc vs. dSSc: ns

[i] Results are presented as mean ± standard deviation, median, lower (25th) and upper (75th) quartile; ns – not significant, VEGF – vascular endothelial growth factor, PlGF – placental growth factor, TGF-β 1 – transforming growth factor β 1, HGF – hepatocyte growth factor, GM-CSF – granulocyte/macrophage colony-stimulating factor, IL-17 – interleukin-17.

PIGF concentration in SSc patients and healthy controls

The serum concentration of PlGF was significantly higher (p < 0.001) in the SSc group (mean value 19.3 pg/ml), lSSc group (mean value 18.6 pg/ml) and dSSc group (mean value 21.1 pg/ml) compared to controls (mean value 11.4 pg/ml). No differences in PIGF levels were found between the dSSc and lSSc groups.

When organ involvement was investigated separately, PIGF concentration was higher in lSSc patients with kidney involvement than in those without (respectively 25.5 ±11.7 pg/ml vs. 18.2 ±5.7 pg/ml, p < 0.05). No other differences were found in PIGF level with regard to organ involvement. No relationship was found between gender and the serum concentration of measured cytokines in the SS, lSSc and dSSc groups.

TGF-β1 concentration in SSc patients and healthy controls

Mean serum TGF-β1 level was significantly lower (p < 0.001) in the SSc group (781 pg/ml), the lSSc group (748.5 pg/ml, p < 0.001) and the dSSc group (874.9 pg/ml, p < 0.001) than in the controls (35991 pg/ml). No differences in TGF-β1 levels were observed between the dSSc and lSSc groups.

HGF concentration in SSc patients and healthy controls

Mean serum HGF level was significantly higher in the SSc group (1931 pg/ml, p < 0.05), the lSSc group (1845.3 pg/ml, p < 0.01) and the dSSc group (2172 pg/ml, p < 0.001) than in controls (1483 pg/ml). No significant differences in HGF level compared to reference values were observed between dSSc and lSSc groups.

In the lSSc group, both age and disease duration were correlated with HGF level (respectively r = 0.35 and r = 0.39; p < 0.05) according to Spearman’s correlation.

GM-CSF concentration in SSc patients and healthy controls

No significant differences in mean serum GM-CSF level were found between the SSc group (0.44 pg/ml), the dSSc group (0.7 pg/ml) or the lSSc group (0.32 pg/ml) and the controls (0.39 pg/ml). However, serum GM-CSF was significantly higher in the dSSc group (p < 0.05) than the lSSc group.

VEGF concentrations in SSc patients and healthy controls

No differences in mean serum VEGF concentrations were observed between the SSc group (507.3 pg/ml) and the reference group (427 pg/ml). No significant difference in mean VEGF levels were observed between controls and dSSc (645 pg/ml), controls and lSSc (463.7 pg/ml), or between dSSc and lSSc.

IL-17B concentration in SSc patients and healthy controls

Mean serum IL-17B level was higher in the SSc group (67.0 pg/ml, p < 0.001) than controls (2.6 pg/ml). Mean IL-17B levels were elevated in both the lSSc (57.7 pg/ml, p < 0.001) and dSSc (93.2 pg/ml, p < 0.001) cohorts compared to controls. No significant differences in IL-17B level were observed between the dSSc and lSSc groups.

IL-17E concentration in SSc patients and healthy controls

Mean serum IL-17E level was higher in the SSc (8.0 pg/ml, p < 0.001), lSSc (7.0 pg/ml, p < 0.001) and dSSc (10.7 pg/ml, p < 0.001) groups than in controls (0.64 pg/ml). No differences in IL-17E levels were observed between the dSSc and lSSc groups.

IL-17F concentration in SSc patients and healthy controls

Significantly higher mean serum concentrations of IL-17F were observed in the SSc group (0.42 pg/ml, p < 0.01) and the lSSc group (0.5 pg/ml, p < 0.01) compared to controls (0.0 pg/ml). No such difference was observed between the dSSc group (0.0 pg/ml) and controls, or between the dSSc and lSSc groups.

IL-17A concentration in SSc patients and healthy controls

No differences in mean serum IL-17A level were found between the SSc group (1.46 pg/ml) and controls (0.63 pg/ml). Similarly, no significant difference in IL-17A levels were found between diffuse (mean value 5.1 pg/ml) and limited (mean value 0.16 pg/ml) SSc groups and controls. In addition, no differences in IL-17A level were observed between the dSSc and lSSc groups.

A positive association was observed between VEGF and IL-17B levels (r = 0.48; p < 0.05) and between VEGF and IL-17E levels (r = 0.54; p < 0.05) in the SSc group.

The ANCOVA did not reveal other parameters such as age, duration of Raynaud’s phenomenon and gender to be significant predictors of measured cytokines.

The significant correlations are presented in Figures 1 A–H.

Figure 1

Correlations between measured cytokines in patients with systemic sclerosis. A – Correlation between serum concentrations of VEGF and IL-17B (r = 0.48; p < 0.05). B – Correlation between VEGF and IL-17E (r = 0.54; p < 0.05). C – Correlation between serum concentration of PlGF and GM-CSF (r = 0.47; p < 0.05). D – Correlation between PlGF and IL-17A (r = 0.39; p < 0.05). E – Correlation between serum concentration of HGF and IL-17B (r = 0.44; p < 0.05). F – Correlation between HGF and IL-17 E (r = 0.32; p < 0.05). G – Correlation between serum concentration of GM-CSF and IL-17A (r = 0.5; p < 0.05). H – Correlation between serum concentration of IL-17B and IL-17E (r = 0.65; p < 0.05)

https://www.archivesofmedicalscience.com/f/fulltexts/128102/AMS-22-4-128102-g001_min.jpg

Serum concentration of PlGF correlated with the concentrations of GM-CSF (0.47; p < 0.05) and IL-17A (r = 0.39; p < 0.05).

No correlation was observed between the serum concentration of TGF-β1 and of other investigated cytokines.

Serum HGF level correlated with concentrations of both IL-17B (r = 0.44; p < 0.05) and IL-17E (r = 0.32, p < 0.05).

A correlation was observed between serum concentrations of GM-CSF and IL-17A (r = 0.5; p < 0.05).

A positive correlation was found between the serum concentrations of IL-17B and IL-17E (r = 0.65; p < 0.05).

No correlation was observed between the serum concentration of IL-17F and those of other investigated cytokines.

Discussion

Significantly higher concentrations of angiogenic cytokines (HGF, PlGF) were found in the study subjects with SSc, and their levels positively correlated with those of IL-17B, IL-17F, and IL-17E in serum, indicating their involvement in the pathogenesis of vascular abnormalities. Previous investigations from our group revealed that SSc patients present significantly higher IL-17B, IL-17F and IL-17E but not IL-17A levels [28]. Similarly, in the present study, IL-17A concentration was found to be lower than IL-17B, IL-17F and IL-17E and to not significantly differ within the SSc group; however, its level significantly correlated with PlGF and GM-CSF levels. The differences observed between the patient groups in the current and previous studies are due to a lack of serum samples, not patient selection: 3 patients did not provide sufficient serum to measure the concentrations of all cytokines.

The mean disease duration in the present study was 9.5 years, which indicates that the disease was in a chronic stage, i.e. clinical stabilization, predominated by fibrosis; this may have been responsible for the low levels of IL-17A found in the studied SSc subjects. A negative correlation has previously been reported between IL-17 levels and disease duration [29], and significantly increased production of IL-17 has been observed in early stage SSc [30]. Our present findings suggest the presence of higher levels of IL-17 at the onset of SSc, which subsequently decrease during the course of the disease. Earlier in vivo mouse studies indicate that IL-17 may play a role in the process of fibrosis: in a model of chronic lung hypersensitivity disease caused by Saccharopolyspora rectivirgula, IL-17A receptor-deficient mice were found to demonstrate decreased mononuclear infiltrates and lower collagen content in the lung compared with wild-type C57BL/6 mice [31]. Similarly, in a model of bleomycin-induced SSc in mice, the loss of IL-17A significantly ameliorated skin fibrosis [32]. However, the large majority of in vitro studies with human cells have failed to demonstrate any direct pro-fibrotic effect of IL-17A on fibroblasts. Brembilla et al. observed that in vitro Th17 cells increase inflammation while also suppressing collagen production in fibroblasts, likely protecting against fibrosis. This mechanism was to a certain extent determined by IL-17 [33]. It is important to continue with human research to establish whether IL-17 might play a therapeutic role in SSc, or whether its blockage would only facilitate the disease progression.

Placental growth factor is a member of the VEGF family. It has been shown to stimulate new blood vessel formation during conditions of hypoxia, tumor growth or wound repair, or when blood circulation is inadequate [34, 35]. PlGF elicits its biological effect through VEGFR1 [36]. PlGF has been observed to compete with VEGF for binding to VEGFR1 [34]. Clinical trials conducted in systemic sclerosis found that subjects with skin induration are more likely to demonstrate high concentrations of serum PlGF, and that this increase may be indicative of the formation of new digital ulcers. However, no association has been confirmed between PlGF level and pulmonary fibrosis in the course of SSc [37, 38].

The SSc group in the present study presented significantly higher PlGF levels than controls, which is consistent with previous reports. Our findings confirm those of Avouac et al. regarding the association between PlGF, skin involvement and digital ulcers [37]. There is a lack of data regarding correlations between PlGF and IL-17A in SSc subjects in the available literature. Investigators reported significantly lower expression of both cytokines within a group of subjects with preeclampsia, without significant correlations [39]. Our recent study on systemic lupus erythematosus patients showed significantly higher concentrations of both cytokines without any correlations between the two [40]. Therefore, it seems to be the first report of such a correlation occurring in a group of SSc patients.

GM-CSF has many functions. It promotes wound healing by stimulating angiogenesis, re-epithelization, and the recruitment of inflammatory cells [41, 42]. GM-CSF has also been found to impede the deposition of type I collagen, but increase the production of other components of the extracellular matrix [43]. In addition, higher GM-CSF receptor expression was observed in SSc fibroblasts in vitro, suggesting that it may contribute to the pathogenesis of the disease [44]. Recently, an SSc group was found to demonstrate significantly higher GM-CSF expression than healthy controls; however, no variation was observed between lSSc and dSSc subgroups [45]. In the present study, although no difference in serum GM-CSF was found between SSc patients and controls, it was found to be significantly higher in dSSc (p < 0.05) than the lSSc group; this may account for the occurrence of rapidly progressive and more widespread cutaneous sclerosis in dSSc. IL-17 has also previously been found to potentiate GM-CSF release from human epithelial cells in vitro [46], and a positive feedback loop involving GM-CSF/IL-17A may exist, based on findings obtained in a mouse model of inflammatory dilated cardiomyopathy [47]. Similarly, in the present study, GM-CSF concentration correlated with IL-17A; however, further studies are needed in SSc subjects.

Similarly as for IL-17A, we did not find VEGF concentration significantly different in the SSc group; still it correlated with IL-17B and IL-17E, which confirms the possibility of correlations existing between the studied proteins. VEGF is a model example of an angiogenic cytokine. Recent reports reveal that it operates not only by stimulating angiogenesis (VEGF 165 isoform) but also by suppressing it (VEGF 165b-VEGF A isoform) [48]. It has also been proven that in SSc patients, the balance between the two isoforms is biased in favor of antiangiogenic VEGF 165b. Over-expression of VEGF 165b was observed in the endothelial cells, fibroblasts and monocytes of SSc patients, constituting inflammatory infiltration surrounding the blood vessels [49]. Also, recent findings indicate increased production of VEGF 165b by platelets in SSc patients, which further suggests their involvement in the abnormal angiogenesis associated with the disease [48].

Nevertheless, the agent responsible for displacing the equilibrium towards anti-angiogenesis in SSc subjects remains unknown; however, it does not lead to compensatory activation of angiogenesis – the repair process triggered in most medical conditions, including malignancies. Current investigations of cancer patients indicate that IL-17A triggers angiogenesis not only by stimulating endothelial cells but also by increasing VEGF release [50]. As neither cytokine was present in the SSc group, it can be assumed that angiogenesis had not been triggered.

Few, if any, reports regarding the effect of IL-17A on VEGF release in SSc subjects have been published so far. Zhou et al. report significantly elevated levels of IL-17A and VEGF mRNA expression in the affected skin of 10 SSc subjects; however, no reciprocal correlations were found between the two cytokines [51]. Previous studies have indicated that IL-17 has stimulating effects in this regard; together with IL-6 and TGF-β, its activity contributes to increased fibroblast proliferation and endothelial cell activation [52]. In contrast, our present observation that VEGF concentration is positively correlated with increased IL-17B and IL-17E level suggests that an increase in IL-17B and IL-17E production may reverse the process of angiogenesis in SSc patients from a stimulating pathway to a suppressing one; however, this idea generally lacks support in the existing literature. Not only do our studies confirm the presence of increased concentrations of IL-17B and IL-17E, levels of which are related to those of VEGF and HGF, but also the relationship between them is statistically significant. Our findings emphasize the need for more detailed analysis of the signaling pathways in which these cytokines are engaged, particularly among patients with SSc.

The available literature suggests that IL-17E plays a more significant role in fibrosis than angiogenesis, and is known to have a strong impact on collagen production in lung fibroblasts [53]. Its expression has also been found to be increased in subjects with idiopathic pulmonary fibrosis, morphea and SSc [54, 55]. Its widespread production by epithelial and endothelial cells, among others, may contribute to its wide distribution and contribution to many physiological and pathological processes related to the immunological response, inflammatory reaction and new blood vessel formation [56–60]. Similarly to IL-17E, IL-17B is manufactured by a range of cells: its mRNA has been identified in a wide range of cells and tissues, including the spinal cord, testis, stomach, small intestine, pancreas, prostate, ovary tissue and chondrocytes [61, 62]. It has been found to suppress angiogenesis through its effect on the migration and growth of epithelial cells and tubule formation [15]. As a significant proportion of SSc patients in our study have associated interstitial lung disease, it is possible that this is a major factor responsible for the observed elevated levels of IL-17E. As indicated by our present findings, the concentrations of IL-17B and IL-17E correlate with one another; this relationship may be associated not only with their common origin from Th17 lymphocytes but possibly also with their function and their wide distribution. Monitoring the levels of the two cytokines in the course of SSc may be helpful in assessing disease severity.

Experimental studies indicate that IL-17F acts as an angiogenesis-inhibiting factor and that its activity is related to increased TGF-β expression [63]. However, these findings are contradicted by those of our present test group, in which increased TGF-β expression did not appear to have any influence on the antiangiogenic action of IL-17F. Although our findings do suggest a correlation between increased IL-17F level and disease progression, the concentration of TGF-β in the SSc group was significantly below that observed in a healthy population, and no correlation was observed between the concentrations of the two cytokines.

Studies of patients with malignancies, immunologic diseases and diseases associated with extended fibrosis indicate that TGF-β potentiates the production of VEGF [64, 65]. However, as no significantly higher VEGF concentration was observed in our present investigation, it is likely that neither cytokine has any influence on the angiogenesis observed in our test group. In addition, no correlations were observed between TGF-β and other IL-17 family interleukins. Therefore, the abnormalities observed in the present study appear to be significantly interconnected with TGF-β-dependent signaling pathways. However, previous studies, focusing primarily on the antiangiogenic action of IL-17F in malignancies coupled with TGF-β activity, emphasize the role of IL-17F in regulating angiogenesis and the expression of other cytokines in endothelial cells [16].

Trevor et al. suggest that the immunologic response involving activated TCD4 and monocytes may play a role in the inhibition of angiogenesis in malignant diseases, and that IL-17F could act to connect the two processes. However, few, if any observations have been published regarding this specific topic in SSc. The concentration of IL-17F in the sera of SSc patients remains unknown, as do IL-17B and IL-17E levels. Due to the lack of existing data regarding IL-17F in the pathogenesis of many diseases, it is hard to evaluate its contribution to the pathogenesis of abnormal angiogenesis in our test group. Nevertheless, our observation that it appears to be increased in the present study group prompts the need for further studies, especially in patients with SSc.

None of our patients used anti-VEGF, anti-IL, or anti-TNF therapy. However, some used glucocorticoids (GCs), methotrexate (MTX), or cyclophosphamide (CP), which are anti-inflammatory and immunosuppressive agents. Their activity could potentially affect the levels of the investigated IL-17 cytokines [66, 67], and insufficient data exist regarding their influence on angiogenesis. This is an important consideration as, due to the heterogeneous course of SSc, many different medications are used depending on the nature and degree of internal organ involvement: MTX is the drug of choice in skin and joint manifestations, whereas CP is more effective in lung fibrosis and renal involvement. Although our patients’ care was chosen according to expert recommendations [68], it is possible that these treatments could affect the findings in our SSc cohort.

In conclusion, our findings indicate that not only IL-17A but also other cytokines from the IL-17 family participate in the development of SSc. There is, hence, a need for clinical trials aimed at gaining a clearer understanding of its pathogenic influence, not only regarding angiogenesis but also on other pathways underlying the pathogenesis of SSc. The use of anti-IL-17 agents offers great hope as therapy for autoimmune diseases such as SSc and psoriasis or malignancies. One such agent, brodalumab, inhibits not only the activity of IL-17A, but also that of IL-17F and IL-17E. However, the lack of available information regarding the signaling pathways of the IL-17 cytokine family besides IL-17A further emphasizes the need for further investigations, before specific in vivo therapeutic targeting of IL-17B–E can be implemented [69].