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Circulating SCUBE1 levels in women with polycystic ovary syndrome/Polikistik over sendromlu kadinlarda SCUBE1 duzeyi.


Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders in women of reproductive age, and is a heterogeneous clinical condition characterized by hyperandrogenism and signs of chronic oligo-/anovulation. The prevalence of PCOS ranges from 6% to 10%, depending on the criteria used, ethnicity, and geographic location (1). Although originally considered to be a gynaecologic disorder, PCOS is associated with reproductive and metabolic disturbances, including ovulatory dysfunction, hyperandrogenism, dyslipidaemia, increased insulin resistance, and impaired glucose intolerance. Furthermore, PCOS is thought to represent an early manifestation of metabolic syndrome, which is associated with cardiovascular disease (2). Several cardiovascular risk factors, such as dyslipidaemia, impaired fibrinolysis, chronic low-grade inflammation, endothelial dysfunction, and subclinical and clinical atherosclerosis, are more prevalent in women with PCOS (3). In addition, these risks factors are strongly linked to insulin resistance and are compounded by the common occurrence of obesity. Data regarding the long-term cardiovascular consequences of PCOS are conflicting (4).

Signal peptide-CUB (complement C1r/C1s, Uegf, bone morphogenetic protein-1)-epidermal growth factor-like protein (SCUBE) is an evolutionarily conserved gene family composed of three different isoforms (SCUBE1-3) (5). SCUBE family members are secretory membrane proteins that play important roles during mouse embryogenesis by regulating extracellular signal transport, molecular adhesion, and migration (6,7). Although SCUBE1 was originally isolated from vascular endothelial cells, it is stored predominantly in alpha granules of inactive platelets in humans (8,9). Following platelet activation, SCUBE1 expression is up-regulated and SCUBE1 is translocated to the cell surface, cleaved, and released into circulation in small soluble particles. These circulating fragments enhance platelet-platelet adhesion and agglutination under thrombotic conditions. SCUBE1 accumulates in platelet-rich thrombus and atherosclerotic vascular lesions (9). An experimental study showed that genetic loss or functional neutralisation of soluble SCUBE1 prevents thrombosis (10). In addition, a single nucleotide polymorphism of the SCUBE1 gene is associated with enhanced risk of venous thromboembolism (11). Taken together, these data suggest that SCUBE1 is involved in modulating vascular biology. In this study, we aimed to investigate SCUBE1 levels in lean glucose-tolerant women with PCOS, and to assess the possible associations between SCUBE1 levels and the hormonal and metabolic features of this syndrome.

Materials and Methods

This prospective case-control study was conducted at the Antalya Training and Research Hospital, Antalya, Turkey, between June 2015 and March 2016. The Ethics Committee of the institution approved this study, and all subjects provided written informed consent. A total of 190 lean [body mass index [BMI] <25 kg/[m.sup.2]] patients, aged 20-35 years, with normal glucose tolerance (NGT), were recruited from the outpatient gynaecology clinic of our institution. The study group consisted of 90 women diagnosed with PCOS using the revised 2003 Rotterdam consensus criteria as the presence of two of the following three features: 1) oligomenorrhea (inter-menstrual interval >35 days) or amenorrhea (absence of menstruation for 3 consecutive months), 2) clinical and/or biochemical signs of hyperandrogenism, and 3) polycystic ovaries as revealed by typical imaging features on ultrasonographic examination (12 or more follicles 2-9 mm in diameter in each ovary and/or ovarian volume >10 [cm.sup.3]) (12). One hundred healthy women with no clinical or biochemical features of hyperandrogenism were recruited as the control group. All of the control subjects were ovulatory as evidenced by regular menstruation (lasting 21 to 35 days) and luteal-phase serum progesterone levels >5 ng/mL. The PCOS and control groups were matched in terms of both age and BMI. Glucose tolerance was evaluated before study recruitment using the criteria of the American Diabetes Association (13). Thus, the 2 h 75 g oral glucose tolerance test (OGTT) was administered to all subjects, and only those with NGT were enrolled. NGT was defined as a fasting glucose level <100 mg/dL or a 2 h glucose level <140 mg/dL. Exclusion criteria were impaired glucose regulation, diabetes mellitus (DM), hyperprolactinemia, thyroid dysfunction, Cushing's syndrome, congenital adrenal hyperplasia, acromegaly, hypothalamic disorder, hypertension, systemic inflammatory disease, any vascular disorder, coagulation abnormalities, history of alcohol consumption or smoking, and family history of DM and/or PCOS. No participant had taken any medication known to affect hormone, lipid, or carbohydrate metabolism (e.g. insulin-sensitising drugs, oral contraceptives, anti-androgens, corticosteroids, statins, or aspirin) within the previous 3 months. Late-onset congenital adrenal hyperplasia was excluded by measuring a normal 17-hydroxyprogesterone level (<1.2 ng/mL during the early follicular phase) in a baseline morning blood sample.

Anthropomorphic and clinical measurements

As part of the physical examination, weight and height of each patient were recorded, and BMI was calculated using the formula: weight (kg)/height ([m.sup.2]). Waist and hip circumferences were measured in a standing position with the feet fairly close together. Waist circumference was measured midway between the lower rib margin and the iliac crest, and hip circumference was measured over the maximum circumference of the buttocks, to calculate the waist/hip ratio (WHR). Systolic and diastolic blood pressure of each patient was measured after a 10 min rest and recorded. The modified Ferriman-Gallwey figure was self-scored after all participants were given an explanation and demonstration in full detail (14). Hyperandrogenism was defined as clinical hirsutism (modified Ferriman-Gallwey score [greater than or equal to]8), acne, alopecia, and/or an elevated androgen level (total testosterone >0.75 ng/mL (manufacturer's reference range: 0.1-0.75 ng/mL) and/or dehydroepiandrosterone sulphate (DHEAS) >430 [micro]g/dL (manufacturer's reference range: 35-430 [micro]g/dL). Ovarian morphology was evaluated by transvaginal ultrasonography or transabdominal ultrasonography (DC-7, Mindray Medical International Ltd., Shenzhen, China) with a distended bladder in virginal women on the same day that blood samples were obtained.

Biochemical Analysis

Laboratory tests were performed during the early follicular phase (days 3-7 of the menstrual cycle) after a spontaneous bleeding episode, or independent of the cycle phase if amenorrhea was evident. Baseline blood samples were obtained from large forearm antecubital veins after a 12 h overnight fast, and all subjects underwent the standard 2 h 75 g OGTT. The blood samples were placed in plain tubes, stored at room temperature for at least 30 min to allow clotting, and centrifuged at 2500 rpm for 15 min at 4 [degrees]C to separate the serum. Concentrations of serum glucose, insulin, and other hormone and lipid parameters were assayed immediately. Additional serum was isolated from fasting blood samples and stored at -80 [degrees]C for later analysis of SCUBE1 level. Serum follicle-stimulating hormone (FSH), luteinizing hormone (LH), total testosterone, and sex hormone-binding globulin (SHBG) levels were determined using a two-site immunoenzymatic method, and DHEAS levels were measured using a competitive binding immunoenzymatic method employing a commercially available kit (Beckman Coulter Diagnostics, Fullerton, CA, USA) and an autoanalyer (Access DxI800; Beckman Coulter). Serum 17-hydroxyprogesterone levels were determined using a commercially available kit (DiaMetra, Segrate, Italy) and an autoanalyzer (Etimax 3000; DiaSorin, Stillwater, MN, USA). Glucose levels were measured using the hexokinase technique and a commercially available kit (Beckham AU5800; Beckham Coulter). Insulin levels were determined using a chemiluminescent assay (AccessDxI800; Beckman Coulter). Serum triglyceride, total cholesterol, high-density lipoprotein, and low-density lipoprotein cholesterol levels were determined using an autoanalyzer (Beckman AU5800; Beckman Coulter). The intra- and inter-assay coefficients of variation (CVs) for all assays were 5% and 10%, respectively.

The free androgen index (FAI) was calculated as total serum testosterone level (nmol/L) x100/SHBG (nmol/L). We estimated insulin resistance using the homeostatic model assessment-insulin resistance (HOMA-IR) index, defined as fasting plasma insulin value ([micro]U/mL) x fasting plasma glucose value (mg/dL)/405 (15). Insulin sensitivity was calculated using the quantitative insulin-sensitivity check index (QUICKI), according to the following formula: 1/[log (fasting insulin level ([micro]U/mL) + log (fasting glucose level (mg/dL)] (16).

Serum SCUBE1 levels were measured using a commercially available enzyme-linked immunosorbent assay (cat no. E-EL-H5405; Elabscience Biotechnology, Wuhan, China), according to the manufacturer's instructions. Assay sensitivity was 0.38 ng/mL, and the inter- and intra-assay CVs were <10% and 8%, respectively.

Statistical Analysis

The normality of data distribution was assessed using the Kolmogorov-Smirnov test. Continuous variables are presented as mean [+ or -] standard deviation if normally distributed or as median (range) if not normally distributed. Between-group differences were detected using Student's t-test for parametric data and the Mann-Whitney U test for nonparametric data. Correlations between SCUBE1 levels and other parameters were calculated using Pearson's correlation analysis (normally distributed data) or Spearman's rank test (data not normally distributed). Two-sided p values <0.05 were considered to be significant. The statistical analysis was performed using the SPSS ver. 18.0 software (SPSS Inc., Chicago, IL, USA).


The clinical characteristics and biochemical data of the control subjects and patients with PCOS are presented in Table 1. These parameters were similar between the two groups because the participants were matched in terms of age and BMI (p>0.05). As expected, the hirsutism score was significantly higher in patients with PCOS than in the control group (p<0.001). Obstetric history and WHR did not differ between the groups (p>0.05). Serum levels of LH and total testosterone, as well as the FAI were significantly higher, but serum SHBG level was significantly lower in women with PCOS than in the control group (p<0.05 for all). On the other hand, no differences in FSH, 17-hydroxyprogesterone, DHEAS, insulin, fasting or 2 h post-load glucose concentration, HOMA-IR or QUICKI values or lipid parameters were detected between the two groups. Serum SCUBE1 levels were significantly higher in patients with PCOS than in the controls (5.9[+ or -]3.9 vs. 4.2[+ or -]1.4 ng/mL, p=0.022). Serum SCUBE1 levels in patients with PCOS stratified according to hyperandrogenism were not statistically different from one another (5.8[+ or -]2.8 ng/mL in normoandrogenic PCOS vs. 5.9[+ or -]3.1 ng/mL in hyperandrogenic PCOS, p=0.91). No significant correlation was found between SCUBE1 concentrations and any clinical or biochemical parameters in either group (Table 2).


Our results show that serum levels of SCUBE1, a platelet activation marker, were significantly higher in young, lean glucose-tolerant women with PCOS than in age- and BMI-matched healthy controls. Moreover, no significant correlations were detected between any hormonal or metabolic PCOS parameters and SCUBE1 concentrations. These results suggest that PCOS, in the absence of obesity and glucose intolerance, results in increased platelet activation, even in young women. To the best of our knowledge, this is the first study to evaluate SCUBE1 levels in women with PCOS. Although platelets are involved in fundamental processes of vascular biology, excess platelet activation may lead to platelet-mediated thrombosis and associated clinical ischemic events. Several studies have investigated SCUBE1 as a marker of platelet activation in such patients. Dai et al (17). reported that SCUBE1 was elevated in patients with acute coronary syndrome and acute ischaemic stroke compared with patients with chronic coronary disease and healthy controls. These findings were corroborated by Sonmez et al., (18) who reported that the analysis of circulating SCUBE1 levels provided useful diagnostic information to distinguish patients with acute coronary syndrome from those with non-coronary chest pain. Given the relationship between platelet hyperactivity and cardiovascular events, extensive interest has developed regarding platelet function in women with PCOS. Dereli et al. (19) demonstrated higher platelet aggregation induced by adenosine diphosphate (ADP), collagen, and epinephrine in a cohort of lean women with PCOS compared with those in age-and BMI-matched controls. Of interest, platelet aggregation was negatively correlated with insulin sensitivity. Rajendran et al. (20) found more ADP-induced platelet aggregation and less platelet responsiveness to the inhibitory effects of nitric oxide in lean and obese women with PCOS than in age-matched controls. These authors suggested that hyperandrogenism was responsible for impaired platelet function in women with PCOS because no difference in platelet aggregation was demonstrated between the lean and obese PCOS groups. In contrast, Kahal et al. (21) found no difference in baseline platelet function, ADP-induced platelet aggregation, or platelet responsiveness to the inhibitory effects of prostacyclin between obese women with PCOS and BMI-matched controls.

These equivocal data can be explained by the use of different PCOS diagnostic criteria and techniques to assess platelet function. In addition to the in vitro studies mentioned above, several research groups have investigated in vivo platelet activation biomarkers, such as P-selectin and platelet-derived microparticles (PMPs), in patients with PCOS. P-selectin is an adhesion molecule secreted extracellularly from platelet alpha granules that is involved in platelet aggregation. Yildiz et al. (22) demonstrated that soluble P-selectin levels were significantly higher in young, normal glucose-tolerant women with PCOS than in age-and BMI-matched healthy controls. On the other hand, no significant correlation was observed between soluble P-selectin levels and any anthropometric or biochemical parameter in the PCOS group. PMPs are small vesicles released from the surface of activated or apoptotic platelets as a result of membrane remodelling. PMPs are highly procoagulant due to expression of phospholipids and tissue factors on their outer membranes, which are the main initiators of the coagulation cascade. Koiou et al. (23,24) reported higher circulating PMP levels in lean and overweight/obese women with PCOS compared with those in BMI-matched controls. PMPs were correlated with serum testosterone levels (23) and the mean number of ovarian follicles (24).

In the present study, serum total testosterone levels and FAI were significantly higher in women with PCOS than in controls. Therefore, we speculate that higher SCUBE1 levels in women with PCOS may be attributable to hyperandrogenaemia. However, we failed to show any correlation between SCUBE1 and total testosterone level, FAI, or any other clinical or biochemical parameter in either the control or PCOS groups. The reason for these results is linked to the fact that we included only lean and normal glucose-tolerant subjects to avoid any confounding effects of obesity and/or impaired glucose tolerance on platelet function (25,26). Low-grade systemic inflammatory activation in patients with PCOS may contribute, at least in part, to increased SCUBE1 level (27). Indeed, SCUBE1 levels increase in response to stimulation by proinflammatory cytokines, such as interleukin-1[beta] and tumour necrosis factor-[alpha] (8). Taken together, these findings suggest that increased SCUBE1 level is an independent contributor to an increased risk of cardiovascular events in women with PCOS, regardless of other traditional risk factors, such as obesity, insulin resistance, and hyperandrogenism.

Study Limitations

The present study has several limitations. Our study design was cross-sectional in nature, and long-term consequences of increased SCUBE1 level in women with PCOS were not evaluated. Another limitation is that although SCUBE1 is derived mainly from platelets; we did not investigate expression of this marker from those cells. Finally, our study subjects were mostly young women; therefore, our results may not be generalizable to older patients with PCOS.


Circulating SCUBE1 levels are elevated in young, lean, glucose-tolerant women with PCOS compared with those in healthy controls; thus, this protein may be an early biomarker of cardiovascular disease later in life. Additional studies are required to clarify the potential impact of SCUBE1 in the pathogenesis of PCOS and to investigate its association on the cardiovascular risk of these patients.


Ethics Comittee Approval: The study was approved by the Local Ethics Committee of Antalya Training and Research Hospital (approval number: 2015-81266704).

Informed Consent: All subjects provided written informed consent.

Peer-review: Externally peer-reviewed.

Authorship Contribution

Concept: O.E., Design: O.E., H.Y.E., Data Collection or Processing: M.K.O., H.Y.E., Analysis or Interpretation: O.E., A.U.D., Literature Search: E.E., N.Y., Writing: O.E., H.Y.E.

Conflict of Interest: No conflict of interest was declared by the authors.

Financial Disclosure: This study was supported by the Scientific Research Fund of Antalya Training and Research Hospital (project number: 2015-084).


(1.) Azziz R, Woods KS, Reyna R, Key TJ, Knochenhauer ES, Yildiz B O. The prevalence and features of the polycystic ovary syndrome in an unselected population. J Clin Endocrinol Metab 2004;89:2745-9.

(2.) Caserta D, Adducchio G, Picchia S, Ralli E, Matteucci E, Moscarini M. Metabolic syndrome and polycystic ovary syndrome: an intriguing overlapping. Gynecol Endocrinol 2014;30:397-402.

(3.) Turkcuoglu I, Kafkasli A, Meydanli MM, Ozyalin F, Taskapan C. Independent predictors of cardiovascular risk in polycystic ovarian syndrome. Gynecol Endocrinol 2011;27:915-9.

(4.) Rizzo M, Berneis K, Spinas G, Rini GB, Carmina E. Long-term consequences of polycystic ovary syndrome on cardiovascular risk. Fertil Steril 2009;91 (Suppl 4):1563-7.

(5.) Grimmond S, Larder R, Van Hateren N, Siggers P, Hulsebos TJ, Arkell R, et al. Cloning, mapping, and expression analysis of a gene encoding a novel mammalian EGF-related protein (SCUBE1). Genomics 2000;70:74-81.

(6.) Grimmond S, Larder R, Van Hateren N, Siggers P, Morse S, Hacker T, et al. Expression of a novel mammalian epidermal growth factor-related gene during mouse neural development. Mech Dev 2001;102:209-11.

(7.) Haworth K, Smith F, Zoupa M, Seppala M, Sharpe PT, Cobourne MT. Expression of the Scube3 epidermal growth factor-related gene during early embryonic development in the mouse. Gene Expr Patterns 2007;7:630-4.

(8.) Yang RB, Ng CK, Wasserman SM, Colman SD, Shenoy S, Mehraban F, et al. Identification of a novel family of cell-surface proteins expressed in human vascular endothelium. J Biol Chem 2002;277:46364-73.

(9.) Tu C F, Su YH, Huang YN, Huang YN, Tsai MT, Li LT, et al. Localization and characterization of a novel secreted protein SCUBE1 in human platelets. Cardiovasc Res 2006;71:486-95.

(10.) Wu MY, Lin YC, Liao WJ, Tu C F, Chen MH, Roffler SR, et al. Inhibition of the plasma SCUBE1, a novel platelet adhesive protein, protects mice against thrombosis. Arterioscler Thromb Vasc Biol 2014;34:1390-8.

(11.) Heit JA, Cunningham JM, Petterson TM, Armasu SM, Rider DN, DE Andrade M. Genetic variation within the anticoagulant, procoagulant, fibrinolytic and innate immunity pathways as risk factors for venous thromboembolism. J Thromb Haemost 2011;9:1133-42.

(12.) Rotterdam ESHRE/ASRM-Sponsored PCOS Consensus Workshop Group. Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome. Fertil Steril 2004;8:19-25.

(13.) American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care 2014;37 (Suppl 1):81-90.

(14.) Coskun A, Ercan O, Arikan DC, Ozer A, Kilinc M, Kiran G, et al. Modified Ferriman-Gallwey hirsutism score and androgen levels in Turkish women. Eur J Obstet Gynecol Reprod Biol 2011;154:167-71.

(15.) Matthews DR, Hosker J P, Rudenski AS, Naylor BA, Treacher D F, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985;28:412-9.

(16.) Katz A, Nambi SS, Mather K, Baron A D, Follmann DA, Sullivan G, et al. Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans. J Clin Endocrinol Metab 2000;85:2402-10.

(17.) Dai D F, Thajeb P, Tu C F, Chiang FT, Chen CH, Yang RB, et al. Plasma concentration of SCUBE1, a novel platelet protein, is elevated in patients with acute coronary syndrome and ischemic stroke. J Am Coll Cardiol 2008;51:2173-80.

(18.) Sonmez E, Turkdogan KA, Karabacak M, Civelek C, Yilmaz C, Ozer O F, et al. The diagnostic role of signal peptide-C1r/C1s, Uegf, and Bmp1-epidermal growth factor domain-containing protein 1 in non-ST-elevation acute coronary syndrome. Am J Emerg Med 2015;33:21-4.

(19.) Dereli D, Ozgen G, Buyukkececi F, Guney E, Yilmaz C. Platelet dysfunction in lean women with polycystic ovary syndrome and association with insulin sensitivity. J Clin Endocrinol Metab 2003;88:2263-8.

(20.) Rajendran S, Willoughby SR, Chan W P, Liberts EA, Heresztyn T, Saha M, et al. Polycystic ovary syndrome is associated with severe platelet and endothelial dysfunction in both obese and lean subjects. Atherosclerosis 2009;204:509-14.

(21.) Kahal H, Aburima A, Ungvari T, Rigby AS, Dawson AJ, Coady AM, et al. Polycystic ovary syndrome has no independent effect on vascular, inflammatory or thrombotic markers when matched for obesity. Clin Endocrinol (Oxf) 2013;79:252-8.

(22.) Yildiz B O, Bozdag G, Harmanci A, Otegen U, Boynukalin K, Vural Z, et al. Increased circulating soluble P-selectin in polycystic ovary syndrome. Fertil Steril 2010;93:2311-5.

(23.) Koiou E, Tziomalos K, Katsikis I, Kalaitzakis E, Kandaraki EA, Tsourdi EA, et al. Circulating platelet-derived microparticles are elevated in women with polycystic ovary syndrome diagnosed with the 1990 criteria and correlate with serum testosterone levels. Eur J Endocrinol 2011;165:63-8.

(24.) Koiou E, Tziomalos K, Katsikis I, Papadakis E, Kandaraki EA, Panidis D. Platelet-derived microparticles in overweight/obese women with the polycystic ovary syndrome. Gynecol Endocrinol 2013;29:250-3.

(25.) Coban E, Kucuktag S, Basyigit S. Platelet activation in subjects with impaired glucose tolerance. Platelets 2007;18:591-4.

(26.) Anfossi G, Russo I, Trovati M. Platelet dysfunction in central obesity. Nutr Metab Cardiovasc Dis 2009;19:440-9.

(27.) Diamanti-Kandarakis E, Paterakis T, Kandarakis HA. Indices of low-grade inflammation in polycystic ovary syndrome. Ann N Y Acad Sci 2006;1092:175-86.

[iD] Onur Erol (1), [iD] Hamit Yasar Ellidag (2), [iD] Mustafa Kemal Ozel (1), [iD] Aysel Uysal Derbent (1), [iD] Esin Eren (2), [iD] Necat Yilmaz (2)

(1) University of Health Sciences, Antalya Training and Research Hospital, Clinic of Obstetrics and Gynecology, Antalya, Turkey

(2) University of Health Sciences, Antalya Training and Research Hospital, Clinic of Biochemistry, Antalya, Turkey

Address for Correspondence/Yazisma Adresi: Onur Erol, MD,

University of Health Sciences, Antalya Training and Research Hospital, Clinic of Obstetrics and Gynecology, Antalya, Turkey

Phone: +90 532 252 48 25 E-mail: ORCID ID:

Received/Gelis Tarihi: 11.04.2018

Accepted/Kabul Tarihi: 27.06.2018

DOI: 10.4274/tjod.25826
Table 1. Clinical and laboratory features of the control and Polycystic
ovary syndrome groups

                                           Control (n=100)

Age (years)                                26.6[+ or -]5.1
Anthropometric measurements
BMI (kg/[m.sup.2])                         22.1[+ or -]1.9
WHR                                         0.74[+ or -]0.04
Systolic blood pressure (mm Hg)            117.3[+ or -]5.8
Diastolic blood pressure (mm Hg)            70.8[+ or -]5.3
Hirsutism score                              5.1[+ or -]1.9
Hormonal components
FSH (mIU/mL)                                 5.5[+ or -]1.7
LH (mIU/mL)                                  4.5[+ or -]3.1
17-OHP (ng/mL)                               0.8[+ or -]0.3
Total testosterone (ng/mL)                   0.4[+ or -]0.1
DHEAS ([micro]g/dL)                        230.8[+ or -]110.8
SHBG (nmol/L)                               55.5[+ or -]26.8
Free androgen index                          3.1[+ or -]2.2
Insulin sensitivity and glucose tolerance
Fasting insulin (mIU/mL)                     8.1[+ or -]3.7
Fasting glucose (mg/dL)                     85.8[+ or -]6.5
2 h glucose (mg/dL)                         88.8[+ or -]17.4
HOMA-IR                                      1.7[+ or -]0.8
QUICKI                                       0.35[+ or -]0.03
Lipid profiles
Triglyceride (mg/dL)                        89.8[+ or -]39.9
Total cholesterol (mg/dL)                  160.8[+ or -]31.8
HDL cholesterol (mg/dL)                     62.4[+ or -]24.4
LDL cholesterol (mg/dL)                     89.2[+ or -]21.5
SCUBE1 (ng/mL)                               4.2[+ or -]1.4

                                           PCOS (n=90)

Age (years)                                 25.1[+ or -]4.5
Anthropometric measurements
BMI (kg/[m.sup.2])                          22.3[+ or -]1.7
WHR                                          0.75[+ or -]0.03
Systolic blood pressure (mm Hg)            120.4[+ or -]9.5
Diastolic blood pressure (mm Hg)            74.6[+ or -]3.5
Hirsutism score                             14.2[+ or -]7.1
Hormonal components
FSH (mIU/mL)                                 5.6[+ or -]1.5
LH (mIU/mL)                                 10.1[+ or -]5.4
17-OHP (ng/mL)                               0.7[+ or -]0.3
Total testosterone (ng/mL)                   0.6[+ or -]0.2
DHEAS ([micro]g/dL)                        264.2[+ or -]112.5
SHBG (nmol/L)                               42.1[+ or -]29.5
Free androgen index                          7.1[+ or -]5.7
Insulin sensitivity and glucose tolerance
Fasting insulin (mIU/mL)                     9.8[+ or -]5.7
Fasting glucose (mg/dL)                     86.1[+ or -]7.1
2 h glucose (mg/dL)                         91.2[+ or -]17.7
HOMA-IR                                      2.1[+ or -]1.2
QUICKI                                       0.36[+ or -]0.02
Lipid profiles
Triglyceride (mg/dL)                        98.3[+ or -]51.9
Total cholesterol (mg/dL)                  170.2[+ or -]32.8
HDL cholesterol (mg/dL)                     51.7[+ or -]12.6
LDL cholesterol (mg/dL)                     92.9[+ or -]20.1
SCUBE1 (ng/mL)                               5.9[+ or -]3.9

                                           p value

Age (years)                                 0.118
Anthropometric measurements
BMI (kg/[m.sup.2])                          0.467
WHR                                         0.737
Systolic blood pressure (mm Hg)             0.45
Diastolic blood pressure (mm Hg)            0.52
Hirsutism score                            <0.001 (*)
Hormonal components
FSH (mIU/mL)                                0.774
LH (mIU/mL)                                <0.001 (*)
17-OHP (ng/mL)                              0.127
Total testosterone (ng/mL)                 <0.001 (*)
DHEAS ([micro]g/dL)                         0.117
SHBG (nmol/L)                              <0.001 (*)
Free androgen index                         0.002 (*)
Insulin sensitivity and glucose tolerance
Fasting insulin (mIU/mL)                    0.247
Fasting glucose (mg/dL)                     0.468
2 h glucose (mg/dL)                         0.392
HOMA-IR                                     0.279
QUICKI                                      0.301
Lipid profiles
Triglyceride (mg/dL)                        0.122
Total cholesterol (mg/dL)                   0.133
HDL cholesterol (mg/dL)                     0.111
LDL cholesterol (mg/dL)                     0.064
SCUBE1 (ng/mL)                              0.022 (*)

Values are given as mean [+ or -] SD or median (range) as indicated
PCOS: Polycystic ovary syndrome, BMI: Body mass index, WHR: Waist-hip
ratio, FSH: Follicle-stimulating hormone, LH: Luteinizing hormone,
17-OHP: 17-hydroxyprogesterone, DHEAS: Dehydroepiandrosterone sulfate,
SHBG: Sex hormone-binding globulin, HOMA-IR: Homeostasis model
assessment insulin resistance, QUICKI: Quantitative insulin-sensitivity
check index, HDL: High-density lipoprotein, LDL: Low-density
(*) Significant difference

Table 2. Correlations of SCUBE1 levels with clinical and biochemical
parameters in the control and Polycystic ovary syndrome groups

                     Control           PCOS
                     r        p value  r       p value

Age                   0.036   0.824     0.029  0.856
BMI                   0.106   0.458     0.149  0.189
WHR                   0.176   0.272     0.049  0.666
Hirsutism score       0.022   0.893     0.163  0.152
FSH                   0.078   0.627     0.013  0.909
LH                    0.163   0.309     0.018  0.875
17-OHP                0.277   0.079     0.048  0.676
DHEAS                 0.014   0.932     0.099  0.387
SHBG                 -0.238   0.134     0.164  0.261
Total testosterone   -0.1     0.534    -0.012  0.916
Free androgen index   0.054   0.737     0.129  0.259
Fasting insulin       0.086   0.595     0.034  0.767
Fasting glucose       0.163   0.308     0.136  0.231
2-h glucose           0.035   0.828     0.079  0.491
HOMA-IR               0.075   0.643     0.029  0.798
QUICKI               -0.128   0.424    -0.001  0.995
Total cholesterol    -0.201   0.209    -0.128  0.263
Triglyceride          0.084   0.604     0.199  0.079
HDL cholesterol      -0.089   0.578    -0.054  0.636
LDL cholesterol      -0.248   0.119    -0.001  0.991

PCOS: Polycystic ovary syndrome, BMI: Body mass index, WHR: Waist-hip
ratio, FSH: Follicle-stimulating hormone, LH: Luteinizing hormone,
17-OHP: 17-hydroxyprogesterone, DHEAS: Dehydroepiandrosterone sulfate,
SHBG: Sex hormone-binding globulin, HOMA-IR: Homeostasis model
assessment insulin resistance, QUICKI: Quantitative insulin-sensitivity
check index, HDL: High-density lipoprotein, LDL: Low-density lipoprotein
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Author:Erol, Onur; Ellidag, Hamit Yasar; Ozel, Mustafa Kemal; Derbent, Aysel Uysal; Eren, Esin; Yilmaz, Nec
Publication:Turkish Journal of Obstetrics and Gynecology
Date:Sep 1, 2018
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