Abstract
Objectives
Angiogenesis is involved in polycystic ovary syndrome (PCOS) progression. Vascular endothelial growth factor-C (VEGF-C) and its receptors are key angiogenic markers. The main objective of this study was to investigate the serum levels of VEGF-C and its receptors, soluble VEGF receptor 2 (sVEGFR-2) and VEGFR-3, in patients with PCOS and healthy controls and determine the link between serum levels of these VEGF-related proteins and the biochemical and hormonal data of patients with PCOS.
Methods
Thirty-six women with PCOS and 30 controls were included in this study. The measurement of VEGF-C, sVEGFR-2, and VEGFR-3 levels in serum and routine biochemical and hormone analysis were performed.
Results
In the PCOS group, significantly higher serum sVEGFR-2 levels and no significant differences in serum VEGF-C and VEGFR-3 were observed compared to the controls. Serum sVEGFR-2 levels exhibited positive associations with VEGF-C, VEGFR-3, total cholesterol, and anti-müllerian hormone (AMH) in women with PCOS. Moreover, a positive correlation between serum VEGF-C and VEGFR-3 concentrations was detected in patients with PCOS. The cutoff value of serum sVEGFR-2 was 4.24 ng/mL (sensitivity 68 %, specificity 64 %) to distinguish PCOS.
Conclusions
Despite unaltered levels of serum VEGF-C and VEGFR-3, there was an association between circulating levels of sVEGFR-2 and these VEGF-related proteins. sVEGFR-2 could be a promising diagnostic biomarker for PCOS. Regarding the significant correlation between sVEGFR-2 and AMH, sVEGFR-2 could have an impact on the hormonal elements of PCOS. Further studies are warranted to fully understand the function of VEGF-C and its receptors in PCOS.
Introduction
Polycystic ovary syndrome (PCOS) is generally accompanied by a combination of endocrine and reproductive disorders with a wide range of clinical signs, abnormal menstruation cycles, hyperandrogenism, and polycystic ovary morphology [1]. Although the etiopathogenesis of the disease has not yet been thoroughly defined, the condition of low-grade inflammation such as obesity, insulin resistance, hyperinsulinemia, and dyslipidemia is frequently observed in PCOS and is believed to play a pivotal role in its development [2]. Moreover, many studies have found a higher risk of pregnancy-related complications in women with PCOS [3]. The diagnosis of PCOS is received by two of these criteria such as ovulation dysfunction, hyperandrogenism, and polycystic ovaries on ultrasonography [2]. However, there is still no specific biomarker that can be an effective method for the diagnosis of the disease. Treatment options for PCOS require lifestyle changes and medical management to limit the metabolic features of the disease [4].
The disruption of the angiogenesis process in the ovary, follicular fluid, and serum plays a significant role in the pathophysiology of PCOS [5]. A key component of angiogenesis, vascular endothelial growth factor (VEGF) promotes the proliferation and migration of endothelial cells [6]. Several studies have shown high VEGF levels in the serum and follicular fluid of PCOS patients and VEGF gene expression in PCOS ovaries [7], [8], [9]. VEGF gene upregulation in the ovarian stroma observed in PCOS has also been linked to ovulation disorders and subfertility [9]. VEGF-C is a family member of VEGF that is involved in angiogenesis and lymphangiogenesis [10]. The decreased VEGF-C protein level in serum and decreased VEGF-C gene and protein expression in granulosa cells of PCOS patients have been reported previously [11, 12]. VEGF-C functions via VEGF receptor (VEGFR)-2 and VEGFR-3 [10]. A soluble form of VEGFR-2 (sVEGFR-2) can decrease VEGF-mediated angiogenic activity by binding the VEGF before reaching its membranous receptors or directly binding its membrane receptor [13]. Subjects with obesity and the metabolic syndrome demonstrated higher serum levels of sVEGFR-2 [14, 15]. VEGFR-3 is mainly involved in lymphangiogenesis as well as angiogenesis [16]. A study by Zheng et al. demonstrated a decrease in serum VEGFR-3 protein level in PCOS patients according to protein array analysis [11, 12].
In the current research, we focused on evaluating the differences in the concentration of serum VEGF-C, sVEGFR-2, and VEGFR-3 between subjects with PCOS and healthy controls and determining the association between these proteins and hormonal and biochemical parameters to identify the value of serum VEGF-C and its receptors as potential diagnostic circulating markers among patients with PCOS. Furthermore, this is the first study evaluating the levels of circulating sVEGFR-2 and its relationship with serum levels of VEGF-C and VEGFR-3 in PCOS.
Materials and methods
Study subjects and laboratory measurements
In the present study, 30 healthy controls and 36 women with PCOS were enrolled from January 2023 to May 2023 at Amasya University, Department of Obstetrics and Gynecology. This study was conducted with the approval of Amasya University Faculty of Medicine Clinical Research Ethics Committee (Jan 19/2023 date, 2023/08 number). Prior to participation in the study, each individual provided their informed consent. The Rotterdam criteria were used to diagnose PCOS [2].
The exclusion criteria for all women included age>40 years, pregnancy, smoking, any acute, chronic or endocrine disease, use of oral contraceptives, weight loss and antihypertensive drugs, pharmaceutical products that affect cholesterol or glucose metabolism, or any other hormone therapies at least 3 months prior to the study. Women with normal ovarian morphology, regular menstrual periods, no sign of hirsutism, and endocrine dysfunction were included in the study as control subjects. Blood samples in serum separator tubes were centrifuged at 2,500 rpm for 15 min and the serum samples were kept frozen at −70 °C for further examination. The serum biochemistry profile of all participants, including fasting blood glucose, total cholesterol, triglyceride, high density lipoprotein-cholesterol (HDL-C), low density lipoprotein-cholesterol (LDL-C), and CRP was determined using an AU680 clinical chemistry system (Beckman Coulter Inc., Brea, CA, USA) and appropriate kits. Serum hormone levels (follicle-stimulating hormone [FSH], luteinizing hormone [LH], estradiol, total testosterone, and anti-müllerian hormone [AMH]) were evaluated by a chemiluminescence method (ADVIA Centaur XPT Immunoassay System, Siemens, Erlangen, Germany), and free testosterone was assessed using a radioimmunoassay method (Siemens, Germany). In addition, serum insulin levels of PCOS cases and controls were measured using chemiluminescence immunoassay technology according to assay instructions using Abbott Architect i2000 SR auto-analyzer (Abbot Laboratories, Chicago, IL, USA).
Serum concentrations of VEGF-C, sVEGFR-2, and VEGFR-3 were assayed using ELISA kits (catalog no. YLA0798HU [VEGF-C], YLA1212HU [sVEGFR-2], YLA1379HU [VEGFR-3]; Shanghai Biotech Co., Shanghai, China). According to the protocol, 50 μL of serum was treated with a specific capture antibody and the detection antibody. Optical density at 450 nm was detected using an ELISA reader (Biotek Instruments Inc., Winooski, USA). The minimum detectable concentrations of the assays were 10.58 ng/L, 0.022 ng/mL, and 0.114 ng/mL for VEGF-C, sVEGFR-2 and VEGFR-3, respectively, and the intraassay and interassay coefficients of variance of all kits were 8 and 10 %.
Statistical analysis
For statistical analysis, SPSS 20.0 version (SPSS Inc., Chicago, IL) software was utilized. The comparisons of clinical characteristics of PCOS and non-PCOS subjects were made by the Student’s t-test and Mann-Whitney test according to the Kolmogorov-Smirnov test result. Data that are normally distributed are stated as mean ± SD, and median (interquartile range) was employed to describe data that do not follow a normal distribution. Pearson’s (parametric) and Spearman’s (nonparametric) correlation tests were employed to determine the correlation between VEGF-C, sVEGFR-2, and VEGFR-3 with other variables. The effects of VEGF-related proteins as independent variables on the risk of PCOS were determined using logistic regression. The analysis of the receiver operating characteristic (ROC) curve of serum sVEGFR-2 was also performed to evaluate its diagnostic precision in PCOS. Statistics were deemed significant if p<0.05.
Results
Comparison of clinical features and circulating VEGF-C, sVEGFR-2, and VEGFR-3 levels between groups
The demographic parameters and laboratory measurements of the study subjects with and without PCOS are given in Table 1. PCOS patients had substantially greater levels of serum LH, CRP, total testosterone, and AMH compared to healthy controls (p=0.034 for LH; p<0.001 for CRP, total testosterone, and AMH). Serum HDL-C levels were observed to be lower in the PCOS group when compared with controls (p<0.001). Systolic and diastolic blood pressure (SBP and DBP) were slightly elevated in the PCOS group (p=0.135 and p=0.072; respectively).
Comparison of characteristics and measurements between PCOS and control groups.
| Variables | PCOS group (n=36) | Control group (n=30) | p-Value |
|---|---|---|---|
| Age | 24.8 ± 5.3 | 25.2 ± 5.6 | 0.767 |
| BMI, kg/m2 | 25.7 ± 4.8 | 24.6 ± 3.4 | 0.308 |
| SBP, mmHg | 117.5 (100–130) | 100 (100.0–117.5) | 0.135 |
| DBP, mmHg | 78 (69.25–80) | 70 (70–80) | 0.072 |
| FBG, mg/dL | 87 (80.75–92) | 90 (80.75–96.75) | 0.299 |
| Insulin, mIU/L | 15.6 (9.75–18.2) | 13.1 (11.6–15.4) | 0.239 |
| Total cholesterol, mg/dL | 154 ± 22.3 | 153 ± 28.5 | 0.889 |
| Triglyceride, mg/dL | 82 (61–110) | 79 (70–108) | 0.553 |
| HDL-C, mg/dL | 47 (42–51) | 55 (50–63) | <0.001 |
| LDL-C, mg/dL | 96 ± 27 | 90 ± 15.2 | 0.339 |
| FSH, mlU/mL | 5.22 ± 1.26 | 4.80 ± 2.26 | 0.494 |
| LH, mlU/mL | 9.16 (6.0–12.6) | 6.46 (4.38–10.3) | 0.034 |
| Estradiol, pg/mL | 62.5 (46.5–76.5) | 54.1 (39.5–73.6) | 0.279 |
| CRP, mg/L | 3.95 (2.32–9) | 1.66 (0.97–3.14) | <0.001 |
| Total testosterone, ng/dL | 28.5 (19.6–38.4) | 17.2 (13.5–20.4) | <0.001 |
| Free testosterone, ng/L | 1.81 (0.88–2.61) | 1.62 (0.99–1.90) | 0.244 |
| AMH, ng/mL | 6.87 (5.99–9.75) | 2.92 (2.16–3.85) | <0.001 |
| VEGF-C, ng/L | 494.7 (409.8–741.9) | 504.2 (428.5–616.9) | 0.827 |
| sVEGFR-2, ng/mL | 4.27 (3.78–7.00) | 3.84 (3.23–5.06) | 0.023 |
| VEGFR-3, ng/mL | 14.0 ± 5.7 | 13.3 ± 7 | 0.667 |
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Data are expressed as the mean ± SD, median (25–75 percentile). Student’s t-test and Mann-Whitney U test were used to analyze the differences between the two groups. p<0.05 indicates statistical significance compared to the control group as shown in bold font. AMH, anti-müllerian hormone; BMI, body mass index; CRP, C-reactive protein; DBP, diastolic blood pressure; FBG, fasting blood glucose; FSH, follicle-stimulating hormone; HDL-C, high density lipoprotein-cholesterol; LDL-C, low density lipoprotein-cholesterol; LH, luteinizing hormone; PCOS, polycystic ovary syndrome; SBP, systolic blood pressure, VEGF, vascular endothelial growth factor; VEGFR, vascular endothelial growth factor receptor; sVEGFR, soluble vascular endothelial growth factor receptor.
Serum VEGF-C and VEGFR-3 levels did not significantly differ between PCOS patients and healthy controls (p=0.827 and p=0.667; Table 1). PCOS women had considerably higher serum levels of sVEGFR-2 than healthy women (p=0.023; Table 1).
Correlations of serum levels of VEGF-C and its receptors with other measurements
Correlation coefficients between serum VEGF-C, sVEGFR-2, and VEGFR-3 levels with hormonal and biochemical parameters are shown in Table 2. VEGF-C levels showed a significant correlation with HDL-C (r=0.349, p=0.037) in patients with PCOS. Serum sVEGFR-2 was positively related to DBP (r=0.353, p=0.035) and total cholesterol (r=0.407, p=0.014). There was also a remarkable positive correlation between serum sVEGFR-2 levels and AMH according to our findings (r=0.399, p=0.016).
Correlations between serum VEGF-C, sVEGFR-2, and VEGFR-3 levels and hormonal and metabolic variables in PCOS patients.
| Serum VEGF-C concentration, ng/L | Serum sVEGFR-2 concentration, ng/mL | Serum VEGFR-3 concentration, ng/mL | ||||
|---|---|---|---|---|---|---|
| r | p-Value | r | p-Value | r | p-Value | |
| BMI, kg/m2 | −0.010 | 0.956 | −0.047 | 0.787 | 0.212 | 0.214 |
| SBP, mmHg | −0.051 | 0.766 | 0.090 | 0.602 | 0.161 | 0.346 |
| DBP, mmHg | 0.323 | 0.054 | 0.353 | 0.035 | 0.178 | 0.298 |
| FBG, mg/dL | 0.115 | 0.503 | 0.090 | 0.602 | −0.014 | 0.931 |
| Insulin, mIU/L | −0.013 | 0.942 | −0.117 | 0.496 | −0.147 | 0.390 |
| Total cholesterol, mg/dL | −0.003 | 0.987 | 0.407 | 0.014 | 0.156 | 0.363 |
| Triglyceride, mg/dL | −0.202 | 0.237 | 0.281 | 0.097 | −0.019 | 0.908 |
| HDL-C, mg/dL | 0.349 | 0.037 | 0.134 | 0.434 | 0.312 | 0.063 |
| LDL-C, mg/dL | 0.109 | 0.528 | 0.145 | 0.400 | 0.077 | 0.651 |
| FSH, mlU/mL | −0.269 | 0.113 | 0.014 | 0.935 | 0.098 | 0.568 |
| LH, mlU/mL | −0.292 | 0.084 | −0.312 | 0.064 | −0.081 | 0.636 |
| Estradiol, pg/mL | 0.102 | 0.556 | 0.002 | 0.990 | −0.009 | 0.955 |
| CRP, mg/L | −0.049 | 0.776 | 0.179 | 0.297 | 0.081 | 0.634 |
| Total testosterone, ng/dL | −0.014 | 0.934 | −0.237 | 0.164 | 0.078 | 0.650 |
| Free testosterone, ng/L | −0.187 | 0.276 | −0.019 | 0.913 | −0.066 | 0.700 |
| AMH, ng/mL | 0.104 | 0.546 | 0.399 | 0.016 | 0.125 | 0.467 |
| Serum VEGF-C, ng/L | 0.355 | 0.033 | 0.747 | <0.001 | ||
| Serum sVEGFR-2, ng/mL | 0.355 | 0.033 | 0.410 | 0.013 | ||
| Serum VEGFR-3, ng/mL | 0.747 | <0.001 | 0.410 | 0.013 | ||
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p<0.05 demonstrates the significance of the correlation. Statistically significant p-values are indicated in bold. Correlations (r) were measured by Pearson’s or Spearman’s correlation test. AMH, anti-müllerian hormone; BMI, body mass index; CRP, C-reactive protein; DBP, diastolic blood pressure; FBG, fasting blood glucose; FSH, follicle-stimulating hormone; HDL-C, high density lipoprotein-cholesterol; LDL-C, low density lipoprotein-cholesterol; LH, luteinizing hormone; PCOS, polycystic ovary syndrome; SBP, systolic blood pressure; VEGF, vascular endothelial growth factor; VEGFR, vascular endothelial growth factor receptor; sVEGFR, soluble vascular endothelial growth factor receptor.
Interestingly, sVEGFR-2 was highly correlated with VEGF-C (r=0.355, p=0.033) and VEGFR-3 (r=0.410, p=0.013). In addition, a positive correlation at the p<0.001 level was observed between serum VEGFR-3 and VEGF-C in PCOS patients (r=0.747, p<0.001).
Logistic regression analysis
Direct logistic regression based on VEGF-C, sVEGFR-2, and VEGFR-3 as independent variables was performed to evaluate the effect of these markers on the likelihood of PCOS. According to this model, 62.1 % of cases were correctly classified. As shown in Table 3, sVEGFR-2 made a statistically significant contribution to the logistic regression model (odds ratio [OR]=1.480 [1.034–2.118]; p=0.032), indicating that serum sVEGFR-2 was a potential relevant predictor of PCOS.
Logistic regression analysis for determining likelihood of PCOS.
| Odds ratio | 95 % CI for odds ratio | p-Value | ||
|---|---|---|---|---|
| Lower | Upper | |||
| VEGF-C | 1.000 | 0.997 | 1.004 | 0.934 |
| sVEGFR-2 | 1.480 | 1.034 | 2.118 | 0.032 |
| VEGFR-3 | 0.959 | 0.848 | 1.085 | 0.505 |
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Bold font indicates statistical significance at the p<0.05 level. CI, confidence interval; PCOS, polycystic ovary syndrome; VEGF, vascular endothelial growth factor; VEGFR, vascular endothelial growth factor receptor; sVEGFR, soluble vascular endothelial growth factor receptor.
ROC analysis of serum sVEGFR-2 levels for PCOS diagnosis
The cutoff value was 4.24 ng/mL, with an appropriate sensitivity (68 %) and specificity (64 %) to distinguish patients with PCOS from controls (area under the curve [AUC]=0.772, 95 % confidence interval [CI]=0.650–0.893, p<0.001) (Figure 1).

ROC curve analysis of sVEGFR-2 levels for PCOS. AUC: 0.772 (95 % CI: 0.650–0.893, p<0.001).
Discussion
Growth factors are thought to be involved in the etiology of PCOS, and according to previous studies, serum VEGF levels in the serum are noticeably greater in those with PCOS [7, 8, 17]. Furthermore, it has been reported that elevated serum VEGF levels in PCOS may be related to increased ovarian vascularization [17], [18], [19]. Thus, the evaluation of antiangiogenic sVEGFR-2 together with VEGF-C and VEGFR-3 in serum is also valuable. Although a study by Zheng et al. demonstrated a decrease in serum VEGF-C and VEGFR-3 protein levels in patients with PCOS based on protein array results [11], the changes in serum levels of these markers were not examined by specific ELISA kits. Thus, this study could be a continuation of this previous study in terms of serum VEGF-C and VEGFR-3 levels with different samples, sizes, and methods. According to our data, there were no appreciable variations in the serum levels of VEGF-C and VEGFR-3 among the groups, which was inconsistent with previous findings [11]. However, the correlation analysis revealed that the serum level of VEGF-C was positively correlated with VEGFR-3 in the PCOS group, which could support the involvement of angiogenesis mechanisms in PCOS. As far as we know, there have been no previous reports on the serum levels of sVEGFR-2 in women with PCOS. The findings demonstrated that sVEGFR-2 levels were considerably increased and correlated significantly with serum VEGF-C and VEGFR-3 levels in participants diagnosed with PCOS, indicating a possible relationship between PCOS, angiogenesis and the presence of elevated sVEGFR-2 levels. It can be suggested that serum sVEGFR-2 has a relationship with these two VEGF-related molecules in PCOS.
PCOS is defined as a low-grade inflammation state [20]. Insulin resistance and obesity could be inducers of the inflammatory state in PCOS [20]. Elevated CRP levels in women with PCOS were found in previous studies [20, 21], which is similar to our finding. Compared with women without PCOS, our findings demonstrated lower HDL-C levels in the PCOS patients, which was consistent with a study by Rudnicka et al. [20]. In our data, LH and total testosterone levels were higher in individuals with PCOS than in controls, in line with other investigations [1, 20]. Testosterone can modulate the actions of ovarian granulosa cells by increasing AMH expression [22]. Previous studies have also reported significant relationships between higher AMH levels and elevated LH and testosterone concentrations in patients with PCOS [23, 24]. Moreover, it has been known that polycystic ovaries lead to increased synthesis and secretion of AMH [25]. Similarly, our results showed that serum AMH levels in the PCOS group were higher than those in controls, as reported in earlier studies [26, 27]. In addition, our results showed increased SBP and DBP, but the differences were statistically non-significant, probably due to the limited number of participants in the current study. These data also supported the results of Liu et al. [1] for SBP and DBP.
VEGF is the major mediator of sVEGFR-2 levels as circulating fragments of VEGFR-2 [28], [29], [30]. The availability of VEGF in endothelial cells is assumed to be negatively regulated by the soluble receptors via downregulating angiogenic activity [13, 31]. sVEGFR-2 inhibits VEGF-mediated angiogenesis in a strong and selective manner [30] and lymphatic vessel growth [32]. In the current study, we could not measure serum VEGF levels. However, increased serum VEGF levels in PCOS women have been reported in many previous reports [7, 8, 18], thus, according to previous studies and our findings, it could be deduced that an increased serum sVEGFR-2 (angiogenesis inhibitor) concentration in PCOS could be a compensatory mechanism to counteract the angiogenesis and block the action of VEGF. Furthermore, it has been reported that sVEGFR-2 plays a role as an endogenous VEGF-C antagonist [32]. The reason for unchanged serum VEGF-C levels in women with PCOS could be related to increased sVEGFR-2 serum levels. Similar to our results, serum sVEGFR-2 levels have also been reported to be significantly high in subjects with obesity and metabolic syndrome [14, 15]. Furthermore, diminished soluble VEGFR-1 (sVEGFR-1) and a rise in the bioavailability of VEGF in the serum have been shown in PCOS women undergoing controlled ovarian stimulation [33]. Furthermore, in our study, serum levels of sVEGFR-2 were positively correlated with VEGF-C, and VEGFR-3 indicated that the growing concentrations of sVEGFR-2 responded to higher VEGF-C and VEGFR-3 levels, and serum levels of VEGF-C and VEGFR-3 could affect the expression of sVEGFR-2. In addition, sVEGFR-2 was correlated with DBP and total cholesterol among clinical variables. Likewise, in a previous clinical trial, serum sVEGFR-2 levels indicated positive correlations with DBP and total cholesterol in women with metabolic syndrome [15]. We can suggest that circulating sVEGFR-2 levels are associated with some metabolic parameters, such as DBP and total cholesterol in PCOS. Moreover, serum sVEGFR-2 was positively correlated with AMH levels. Tal et al. reported that AMH was positively correlated with a VEGF family member, placental growth factor levels in follicular fluid in women with PCOS [34]. In another study by Wu et al., serum AMH levels were negatively correlated with follicular fluid VEGF levels in patients receiving in vitro fertilization treatment [35]. The role of angiogenic factors and AMH and their related relationship have also been reported previously in the pathophysiology of follicular development in PCOS [36]. These findings strengthen the possible link between AMH and angiogenesis, which is consistent with our finding. In addition, it seems that serum sVEGFR-2 levels could be an acceptable predictor to identify the likelihood of PCOS.
In the current study, no difference was noted regarding serum levels of VEGF-C and its receptor, VEGFR-3 between the groups. Firstly, the sample size and the subset of PCOS patients may be the reasons for these results. A study by Liu et al. demonstrated that serum VEGF levels were significantly higher in PCOS patients with normal androgen levels than in PCOS women who fulfilled all PCOS diagnostic criteria [37]. Moreover, Liu et al. also found a negative correlation between VEGF and testosterone in PCOS patients, which could be an explanation for the increased VEGF levels in PCOS patients with normal androgen levels compared to PCOS patients with hyperandrogenemia [37]. Based on this, it can be suggested that the hormonal profile of patients with PCOS could affect the levels of angiogenic factors. In the present study, PCOS patients were not stratified into subsets according to PCOS inclusion criteria. If we had grouped PCOS patients according to PCOS phenotypes, we could have achieved different results regarding the levels of studied biomarkers. In addition, previous studies have demonstrated that the VEGF-C/VEGFR-3 signaling system is involved in regulating both angiogenesis and mostly lymphangiogenesis [38, 39]. Thus, no alteration in the levels of VEGF-C and VEGFR-3 in PCOS might be related to their predominant function in lymphangiogenesis besides angiogenesis. VEGF-C, which is the ligand for VEGFR-3, can bind and induce the activation of VEGFR-3 [40]. A positive correlation between VEGF-C and its receptor, VEGFR-3 may be related to their receptor-ligand interaction to elicit biological responses. Moreover, the hormonal regulation of VEGF-C gene levels in cultured human granulosa-luteal cells has been previously demonstrated [41]. Based on this information, serum VEGF-C levels could also be affected by hormone levels in subjects with PCOS. In previous studies, decreased protein levels of serum VEGF-C and VEGFR-3 in patients with PCOS and decreased VEGF-C gene and protein expression in granulosa cells of PCOS patients were reported [11, 12]. A study by Wei et al. [12] suggested that the elevated apoptosis in ovarian granulosa cells might lead to the dysregulation of folliculogenesis in PCOS, and this might be related to decreased VEGF-C expression. A previous study demonstrated high VEGF-C serum levels in overweight and obese individuals [14]. In a study by Zhang et al., treatment with VEGF-C-stimulated adipose-derived stem cells decreased chronic intestinal inflammation in mice by activating VEGF-C/VEGFR-3 signaling [42]. These results suggest that VEGF-C could be associated with inflammatory mechanisms in PCOS. Moreover, Wada et al. [43] indicated that circulating levels of VEGF-C were significantly related to dyslipidemia in human subjects, whereas we observed a positive correlation between serum VEGF-C and HDL-C levels in the PCOS group, possibly demonstrating that increasing VEGF-C levels might not be linked to dyslipidemia in PCOS subjects.
The limited sample size of this study is its principal weakness, which may impair statistical power. Secondly, this study only measured serum levels of VEGF-C and its receptors. However, the effect of elevated serum levels of sVEGFR-2 on the ovary tissue angiogenesis was not evaluated. In addition, angiogenesis mechanisms could be mediated by a large number of angiogenic factors and concurrently antiangiogenic factors [14]. Our study was limited to the analysis of only one angiogenic molecule, VEGF-C, and its two receptors, sVEGFR-2 and VEGFR-3. Therefore, the lack of data evaluating the ratio of angiogenic VEGF to its antiangiogenic soluble receptor, sVEGFR-2, could be another limitation of the study. Thus, this aspect makes it difficult to evaluate the relationship and imbalance between the studied biomarkers and other angiogenesis-related factors in patients with PCOS.
Conclusions
Since this study is the first to evaluate the serum levels of sVEGFR-2 and its relationship with VEGF-C and VEGFR-3 in women with PCOS, it could be a pioneering study on this subject. Circulating sVEGFR-2 levels were significantly elevated and positively correlated with VEGF-C, VEGFR-3, and AMH serum levels in women with PCOS. VEGF-C/VEGFRs axis appears effective in PCOS. More research is needed to understand the function of VEGF-C and its receptors in the pathophysiology of PCOS and to validate the utility of these markers as prospective treatment targets.
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Research ethics: The study was approved by Amasya University Faculty of Medicine Clinical Research Ethics Committee (Jan 19/ 2023 date, 2023/08 number). This study has been carried out in accordance with the Declaration of Helsinki.
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Informed consent: Informed consent was obtained from all individuals included in this study.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: Authors state no conflict of interest.
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Research funding: None declared.
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Data availability: The raw data can be obtained on request from the corresponding author.
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Articles in the same Issue
- Frontmatter
- Review
- Quercetin induces cytotoxicity and apoptosis, reduces metastasis and drug resistance in oral cancer cells
- Research Articles
- Comparison of results of two hematological analyzer systems: Dirui BF-7200 and Sysmex XN-1000
- User verification of Abbott Alinity HQ hematology analyzer
- Erythrocyte labile iron pool indicating concealed iron overload in non-transfusion-dependent β-thalassemia
- Flow cytometric analysis of lymphocyte subsets, monocytes, and HLA-DR expressions on these cells in patients with COVID-19
- Comparative vascular effects of levetiracetam and valproate with hyperhomocysteinemia in rat models
- Evaluation of systemic inflammatory and fibrosis indices in Saprochaete capitata infections: a retrospective case-control study
- Class IA PI3K isoforms lead to differential signalling downstream of PKB/Akt
- Enzymatic comparison and expression pattern of pig B4GALNT2 and B4GALNT2-like proteins
- Does COVID-19 affect thyroid more than non-COVID-19 infections? A retrospective study
- Desmin’s conformational modulation by hydrophobicity
- Assessment of myogenic potency in patient-derived fibroblasts with c.1289-2A>G Desmin mutation
- GSH-related enzyme activity and tumor relation: glutathione peroxidase and glutathione reductase status under hypoxia in HepG2 cells
- Can triglyceride related indices be reliable markers in the assessment of polycystic ovarian syndrome?
- Vascular endothelial growth factor (VEGF)-C and its receptors, soluble VEGFR-2 and VEGFR-3, in polycystic ovary syndrome
- Platelet activating factor acetylhydrolase is associated with cardiac valvular calcification in dialysis patients
- Reticulated platelets and coronary slow flow: a study in stable coronary artery disease
- Identification of the role of TG2 on the expression of TGF-β, TIMP-1 and TIMP-2 in aged skin
- Unveiling the link: Helicobacter pylori infection and impact on ischemia modified albumin, thiol, and disulfide levels
Articles in the same Issue
- Frontmatter
- Review
- Quercetin induces cytotoxicity and apoptosis, reduces metastasis and drug resistance in oral cancer cells
- Research Articles
- Comparison of results of two hematological analyzer systems: Dirui BF-7200 and Sysmex XN-1000
- User verification of Abbott Alinity HQ hematology analyzer
- Erythrocyte labile iron pool indicating concealed iron overload in non-transfusion-dependent β-thalassemia
- Flow cytometric analysis of lymphocyte subsets, monocytes, and HLA-DR expressions on these cells in patients with COVID-19
- Comparative vascular effects of levetiracetam and valproate with hyperhomocysteinemia in rat models
- Evaluation of systemic inflammatory and fibrosis indices in Saprochaete capitata infections: a retrospective case-control study
- Class IA PI3K isoforms lead to differential signalling downstream of PKB/Akt
- Enzymatic comparison and expression pattern of pig B4GALNT2 and B4GALNT2-like proteins
- Does COVID-19 affect thyroid more than non-COVID-19 infections? A retrospective study
- Desmin’s conformational modulation by hydrophobicity
- Assessment of myogenic potency in patient-derived fibroblasts with c.1289-2A>G Desmin mutation
- GSH-related enzyme activity and tumor relation: glutathione peroxidase and glutathione reductase status under hypoxia in HepG2 cells
- Can triglyceride related indices be reliable markers in the assessment of polycystic ovarian syndrome?
- Vascular endothelial growth factor (VEGF)-C and its receptors, soluble VEGFR-2 and VEGFR-3, in polycystic ovary syndrome
- Platelet activating factor acetylhydrolase is associated with cardiac valvular calcification in dialysis patients
- Reticulated platelets and coronary slow flow: a study in stable coronary artery disease
- Identification of the role of TG2 on the expression of TGF-β, TIMP-1 and TIMP-2 in aged skin
- Unveiling the link: Helicobacter pylori infection and impact on ischemia modified albumin, thiol, and disulfide levels