Urinary vitamin D-binding protein as a marker of ovarian reserve.

BACKGROUND: Ovarian reserve reflects the quality and quantity of available oocytes and has become an indispensable measure for the better understanding of reproductive potential. Proteomic approaches are especially helpful in discerning differential protein expression patterns associated with normal and diseased states and, thus, proteomic analyses are increasingly used to identify clinically useful biomarkers. The aim of this study was to investigate proteins secreted in the urine of patients with different ovarian reserve by proteomic techniques to identify potential markers for assessing ovarian reserve. METHODS: Urine samples were obtained from patients with polycystic ovary syndrome (PCOS) and diminished ovarian reserve (DOR), and from normal control (NC)participants. We used isobaric tags for relative and absolute quantification (iTRAQ) technology combined with mass spectrometry analysis to identify candidate urinary proteins in the three groups. The selected proteins were confirmed using western blot analysis and enzyme-linked immunosorbent assay (ELISA). Diagnostic performance of the selected proteins was assessed using receiver operating characteristic analysis. RESULTS: When Compared with NC samples, 285 differentially expressed proteins (DEPs) were identified in the DOR samples and 372 in the PCOS samples. By analyzing the intersection of the two groups of DEPs, we found 26 proteins with different expression trends in the DOR and PCOS groups. Vitamin D-binding protein (VDBP) was the key protein for the protein-protein interaction network. ELISA quantification of urinary VDBP revealed the highest levels in the PCOS group, followed by the NC group and the lowest levels in the DOR group (115.90 ± 26.02, 81.86 ± 23.92 and 52.84 ± 21.37 ng/ml, respectively; P < 0.05). As a diagnostic marker, VDBP had a sensitivity of 67.4% and a specificity of 91.8% for DOR, and a sensitivity of 93.8% and a specificity of 77.6% for PCOS. CONCLUSIONS: Urinary VDBP is closely associated with ovarian reserve and can be considered as a novel noninvasive biomarker of ovarian reserve. However, studies including large sample sizes are needed to validate these results.

Indicator of early kidney injury in adolescents with polycystic ovary syndrome: Can urine NGAL level be?

INTRODUCTION AND PURPOSE: The Urinary Neutrophil-gelatinase associated lipocalin (NGAL) levels which are a biomarker for early diagnosis of kidney damage that may develop in patients with Polycystic Ovary Syndrome (PCOS) were investigated in the study. MATERIAL AND METHODS: The 30 patients diagnosed with Polycystic Ovarian Syndrome between the ages of 13 and 18 who applied to the Yuzuncu Yil University General Children's Outpatient Clinic were included in the PCOS group and 30 healthy adolescents without any known acute or chronic illness and drug use were included in the control group. FINDINGS: Urine NGAL value was 842.204 ± 21.561 in PCOS group and 775.379 ± 23.98 in control group. NGAL level in PCOS group was statistically significantly higher than control group (p: .045). When we examine the relationship between dyslipidemia and PCOS; While dyslipidemia was positive in 10 (33.7%) patients in the PCOS group, it was negative in 20 (66.7%) patients. While 1 patient had dyslipidemia, 29 patients did not have dyslipidemia in the control group. A significant relationship was found between dyslipidemia and PCOS (p: .005). CONCLUSION: We found that subclinical kidney dysfunction started in early stage patients in PCOS in our study. The urine NGAL level was thought to increase in response to increased oxidative stress in PCOS. We found no relationship between, insulin resistance and urea, BUN, creatinine and NGAL levels. However, we found a negative correlation between NGAL level and LDL. In addition, dyslipidemia, insulin resistance and ALT elevation were detected in the PCOS group.

Dynamic Analysis of the Biochemical Changes in Rats with Polycystic Ovary Syndrome (PCOS) Using Urinary 1H NMR-Based Metabonomics.

Polycystic ovarian syndrome (PCOS) is the most common endocrine disease that causes reproductive abnormalities in fertile women. It is closely related to the persistent anovulatory, insulin resistance, and high androgen. However, the molecular mechanisms underlying the pathological development of PCOS are still unclear. In this study, we aimed to explore the distinctive metabolic patterns in insulin combined with human chorionic gonadotrophin induced PCOS. The dynamic changes of endogenous metabolites in the development of PCOS were studied using untargeted metabolomic approaches based on nuclear magnetic resonance. The results showed that the degree of PCOS disorder metabolites at different periods was not exactly the same. Twelve significantly differential endogenous metabolites from different time points were selected as potential biomarkers relate to pathological process of PCOS. Among them, six metabolites showed a good diagnostic accuracy with PCOS model. The arginine and proline metabolic pathway was considered as one of the most crucial pathways that affects occurrence and development of PCOS. In addition, IRS-1, Akt, PI3K, IκB, and NF-κB (p65) were significantly changed in the ovary tissue of PCOS rats, which revealed that the IRS-1-PI3K/Akt and NF-κB signal pathway may be involved in the development of PCOS. This study demonstrated that metabolomic analysis is a powerful tool for providing novel insight into understanding the pathogenesis of PCOS and provide a basic reference for the diagnosis of PCOS at the onset stage.

Cystatin C, a novel cardiometabolic risk marker in women with polycystic ovary syndrome.

OBJECTIVE: To investigate the impact of urinary albumin excretion (UAE) and cystatin C on the metabolic components of polycystic ovary syndrome (PCOS). METHODS: Seventy-five women with PCOS were divided into two groups according to metabolic syndrome as MetS + and MetS-. Clinical, metabolic and renal parameters were compared between the groups. Correlation analyses were performed between cystatin C, microalbuminuria and clinical and metabolic parameters in women with PCOS. RESULTS: Waist/hip ratio (WHR), body mass index, LDL cholesterol, triglyceride, total cholesterol, cystatin C, UAE were significantly higher in the MetS + group compared with the MetS - one. HDL cholesterol was significantly higher in the MetS - group than the MetS + one. The UAE positively correlates with LDL cholesterol, triglyceride and total cholesterol levels. Cystatin C positively correlates with UAE, WHR, LDL cholesterol, triglyceride, total cholesterol levels. CONCLUSIONS: Evaluating UAE and cystatin C may be important for the detection of target subjects at high risk for future metabolic syndrome and cardiovascular disease.

Urinary bisphenol A in women with polycystic ovary syndrome - a possible suppressive effect on steroidogenesis?

OBJECTIVES: There is a growing evidence indicating an impact of endocrine distrupting chemicals such as bisphenol A (BPA) on human reproduction. Its higher levels in serum or urine have been documented in women with polycystic ovary syndrome (PCOS), however the relationship to ovarian steroidogenesis remains unclear. Aim of the study was to compare urinary BPA (U-BPA) concentrations among PCOS women and control group. Second aim was to assess the relationship of U-BPA to ovarian steroidogenesis in the group with PCOS. METHODS: Eighty six Caucasian women (age 28.5 ± 5.1 years) diagnosed with PCOS and 32 controls of age 24.9 ± 4.4 years were included in the study. Fasting blood samples were analyzed for biochemical parameters and steroid hormones. U-BPA was measured in the morning urine sample using high pressure liquid chromatography. RESULTS: PCOS women had significantly higher U-BPA as compared with control group (p=0.0001). Those with high levels of U-BPA (U-BPA ≥2.14 ug/g creatinine) demonstrated higher serum insulin (p=0.029) and HOMA IR (p=0.037), lower serum estrone (p=0.05), estradiol (p=0.0126), FSH (p=0.0056), and FAI (p=0.0088), as compared with low-BPA group (U- BPA <2.14 ug/g creatinine). In PCOS women, U-BPA positively correlated with age (p=0.0026; R2=0.17), negatively with estradiol (p=0.0001, R2=0.5), testosterone (p=0.0078, R2=0.15), free-testosterone (p=0.0094, R2=0.12) and FAI (p=0.0003, R2=0.32), respectively. CONCLUSIONS: PCOS women have significantly higher U-BPA concentrations than healthy controls. U-BPA positively correlates with age and negatively with ovarian steroid hormones suggesting a possible suppressive effect of bisphenol A on ovarian steroidogenesis.

Can environmental pollutant bisphenol A increase metabolic risk in polycystic ovary syndrome?

BACKGROUND: Bisphenol A (BPA), a widespread industrial substance is recognized as endocrine disrupting chemical and therefore could be associated with polycystic ovary syndrome (PCOS) related metabolic disturbances. PATIENTS: In this study 29 women of reproductive age with diagnosed PCOS were enrolled. METHODS: BPA in urine samples was analyzed by gas chromatography-mass spectrometry. RESULTS: BPA was detected in urines of 48.28% participants. The waist-to-height ratio (WtHR) was statistically significant higher in PCOS BPA+ in comparison to PCOS BPA- women (p = 0.046). PCOS BPA+ women had 6.88 times (95%Cl 1.3481-35.0600, z = 2.319, p = 0.020) higher risk for waist circumference above 80 cm and 4.95 odds (95%Cl 1.0169-24.096, z = 1.981, p = 0.048) to have WtHR over 0.5 when compared to PCOS BPA-. Statistically significant positive association between BPA urine concentrations and insulin serum levels (p = 0.038) was obtained. BPA urine values were associated with elevated HOMA-IR values and reduced HDL levels with moderate significance (p = 0.079 and p = 0.061, respectively). Also, there was 3.75 times (95%Cl 0.7936-17.7203, z = 1.668, p = 0.095) higher risk for PCOS BPA+ women to have testosterone levels above reference values. CONCLUSION: The obtained results suggested that the BPA exposition in PCOS women was followed by increased metabolic risk through promotion of obesity, especially the visceral type, hyperinsulinemia, insulin resistance, dyslipidemia and elevated androgen levels.

Non-invasive urinary metabolomics reveals metabolic profiling of polycystic ovary syndrome and its subtypes.

Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder, which affects 4-10 % women of reproductive age. Though accumulating scientific evidence, its pathogenesis remains unclear. In the current study, metabolic profiling as well as diagnostic biomarkers for different phenotypes of PCOS was investigated using non-invasive urinary GCMS based metabolomics. A total of 371 subjects were recruited for the study. They constituted the following groups: healthy women, those with hyperandrogenism (HA), women with insulin-resistance (IR) in PCOS. Two cross-comparisons with PCOS were performed to characterize metabolic disturbances. A total of 23 differential metabolites were found. The altered metabolic pathways included glyoxylate and dicarboxylate metabolism, pentose and glucuronate interconversions, and citrate cycle and butanoate metabolism. For differential diagnosis, a panel consisting of 9 biomarkers was found from the comparison of PCOS from healthy subjects. The area under the receiver operating characteristic (ROC) curve (AUC) was 0.8461 in the discovery phase. Predictive value of 89.17 % was found in the validation set. Besides, a panel of 8 biomarkers was discovered from PCOS with HA vs IR. The AUC for 8-biomarker panel was 0.8363, and a panel of clinical markers (homeostasis model assessment-insulin resistance and free androgen index) had 0.8327 in AUC. While these metabolites combined with clinical markers reached 0.9065 in AUC from the discovery phase, and 93.18 % in predictive value from the validation set. The result showed that differences of small-molecule metabolites in urine may reflect underlying pathogenesis of PCOS and serve as biomarkers for complementary diagnosis of the different phenotypes of PCOS.

Urinary volatile metabolomics as a viable alternative diagnostic tool for polycystic ovary syndrome: An exploratory hypothesis.

Polycystic Ovary Syndrome (PCOS) is a metabolic disorder prevalent globally. Female infertility cases are also on the increase during the recent times which almost matches with the increasing incidence of PCOS. The NIH-USA-defined symptoms for clinical confirmation of PCOS include oligo-ovulation, elevated androgen level and presence of cysts in the ovary. Therapeutic approaches to PCOS require confirmatory diagnostics such as measurement of hormones and ultrasound scan of the ovary, which are in part, invasive. Conversely, the volatile organic compounds (VOCs) that are present in body fluids (urine, feces, saliva, etc.) and exhaled breath are reported to be endogenously altered in diseased state, which may be indicative of diseases including cancer. We hypothesize that the hindered metabolic state in PCOS condition would conditionally alter the VOCs that eventually are excreted in urine, which may offer a template to develop a viable and non-invasive diagnostic tool.

Identification of Potential Biomarkers for Urine Metabolomics of Polycystic Ovary Syndrome Based on Gas Chromatography-Mass Spectrometry.

BACKGROUND: Polycystic ovary syndrome (PCOS) is a complex endocrine and metabolic disorder, and it's diagnosis is difficult. The aim of this study was to investigate the metabolic profiles of PCOS patients by analyzing urine samples and identify useful biomarkers for diagnosis of PCOS. METHODS: This study was carried out in the Department of Obstetrics and Gynecology of the Maternal and Child Health Hospital of Hunan Province from December 2014 to July 2016. In this study, the urine samples of 21 women with PCOS and 16 healthy controls were assessed through gas chromatography-mass spectrometry to investigate the urine metabolite characteristics of PCOS and identify useful biomarkers for the diagnosis of this disorder. The Student's t-test and rank sum test were applied to validate the statistical significance of the between the two groups. RESULTS: In total, 35 urine metabolites were found to be significantly different between the PCOS patients and the controls. In particular, a significant increase in the levels of lactose (10.01 [0,13.99] mmol/mol creatinine vs. 2.35 [0.16, 3.26] mmol/mol creatinine, P = 0.042), stearic acid (2.35 [1.47, 3.14] mmol/mol creatinine vs. 0.05 [0, 0.14] mmol/mol creatinine, P < 0.001), and palmitic acid (2.13 [1.07, 2.79] mmol/mol creatinine vs. 0 [0, 0] mmol/mol creatinine, P < 0.001) and a decrease in the levels of succinic acid (0 [0, 0] mmol/mol creatinine vs. 38.94 [4.16, 51.30] mmol/mol creatinine, P < 0.001) were found in the PCOS patients compared with the controls. It was possible to cluster the PCOS patients and the healthy controls into two distinct regions based on a principal component analysis model. Of the differentially expressed metabolites, four compounds, including stearic acid, palmitic acid, benzoylglycine, and threonine, were selected as potential biomarkers. CONCLUSIONS: This study offers new insight into the pathogenesis of PCOS, and the discriminating urine metabolites may provide a prospect for the diagnosis of PCOS.

Urinary steroid profiling in women hints at a diagnostic signature of the polycystic ovary syndrome: A pilot study considering neglected steroid metabolites.

BACKGROUND: Although the polycystic ovary syndrome (PCOS) is the most common endocrine disorder in women with vast metabolic consequences, its etiology remains unknown and its diagnosis is still made by exclusion. This study aimed at characterizing a large number of urinary steroid hormone metabolites and enzyme activities in women with and without PCOS in order to test their value for diagnosing PCOS. METHODS: Comparative steroid profiling of 24h urine collections using an established in-house gas-chromatography mass spectrometry method. Data were collected mostly prospectively. Patients were recruited in university hospitals in Switzerland. Participants were 41 women diagnosed with PCOS according to the current criteria of the Androgen Excess and PCOS Society Task Force and 66 healthy controls. Steroid profiles of women with PCOS were compared to healthy controls for absolute metabolite excretion and for substrate to product conversion ratios. The AUC for over 1.5 million combinations of metabolites was calculated in order to maximize the diagnostic accuracy in patients with PCOS. Sensitivity, specificity, PPV, and NPV were indicated for the best combinations containing 2, 3 or 4 steroid metabolites. RESULTS: The best single discriminating steroid was androstanediol. The best combination to diagnose PCOS contained four of the forty measured metabolites, namely androstanediol, estriol, cortisol and 20ßDHcortisone with AUC 0.961 (95% CI 0.926 to 0.995), sensitivity 90.2% (95% CI 76.9 to 97.3), specificity 90.8% (95% CI 81.0 to 96.5), PPV 86.0% (95% CI 72.1 to 94.7), and NPV 93.7% (95% CI 84.5 to 98.2). CONCLUSION: PCOS shows a specific 24h urinary steroid profile, if neglected metabolites are included in the analysis and non-conventional data analysis applied. PCOS does not share a profile with hyperandrogenic forms of congenital adrenal hyperplasias due to single steroid enzyme deficiencies. Thus PCOS diagnosis by exclusion may no longer be warranted. Whether these findings also apply to spot urine and serum, remains to be tested as a next step towards routine clinical applicability.

Environmental exposure to triclosan and polycystic ovary syndrome: a cross-sectional study in China.

OBJECTIVES: Polycystic ovary syndrome (PCOS) is the most common endocrinopathy of women at reproductive age. Although the aetiology of PCOS remains unclear, potential effects of environmental endocrine-disrupting compounds on the development of PCOS have drawn increasing attention. The aim of the current study was to examine the association between triclosan (TCS) and PCOS, and explore possible mechanisms on how TCS may contribute to the development of clinical manifestations of PCOS. DESIGN: Cross-sectional study. SETTING: This study was conducted in one tertiary-level hospital located in Zhejiang, China. PARTICIPANTS: A total of 674 infertile women at 18-45 years of age were recruited in 2014-2015. Participants with (n=84) and without (n=212) PCOS with urinary TCS concentration available were included in the analyses. METHODS: Urinary TCS concentration was measured using a high-performance liquid chromatography-electrospray ionisation tandem mass spectrometry. Logistic regression model was used to examine the association between TCS and PCOS. Fractional polynomial regression models were built to fit the potential non-linear relationship between TCS concentrations and luteinising hormone (LH) and LH/follicle stimulate hormone (FSH). RESULTS: The PCOS group had significantly higher level of TCS concentration than the non-PCOS group (the median of TCS (IQR), µg/g creatinine: 1.49 (0.68-3.80) vs 1.06 (0.52-3.02), p=0.0407). Compared with the lowest tertile, the highest tertile of TCS concentration was associated with an increased odd of PCOS (OR 2.12, 95% CI 1.12 to 3.99). After adjusting for potential confounders, the significant association remained (OR 1.99, 95% CI 1.05 to 3.79). Positive relationships were found between TCS levels and LH and LH/FSH ratio in non-PCOS participants. CONCLUSIONS: TCS exposure at a relatively low level is associated with PCOS in Chinese women. Further epidemiological studies are needed to confirm our finding, which may have important public health implications.

Lower levels of urinary 2-hydroxyestrogens in polycystic ovary syndrome.

CONTEXT: Women with polycystic ovary syndrome (PCOS) have anovulation due to arrested follicular maturation. The substrate (2-hydroxyestrogen) and product (2-methoxyestrogen) of catechol-O-methyl transferase (COMT) have been shown to modulate proliferation and angiogenesis of granulosa cells. OBJECTIVE: The objective of the study was to evaluate COMT ovarian expression as well as the production of estrogen metabolites (2-hydroxyestrogen and 2-methoxyestrogen) in subjects with PCOS. DESIGN: Immunohistochemistry was used to assess COMT expression in ovarian tissues. Urinary levels of 10 different estrogens and estrogen metabolites were measured using enzyme-labeled immunoassays and/or liquid chromatography with tandem mass spectrometry. SETTING: The study was conducted at a tertiary university referral center. PATIENTS AND OTHER PARTICIPANTS: Ovarian tissues were obtained from six control subjects and six subjects with PCOS. Fasting first-void urinary samples were collected from 49 subjects with PCOS and 36 healthy control subjects. MAIN OUTCOME MEASURE(S): COMT protein expression in ovarian tissues was measured. Urinary levels of 2-hydroxyestrogen and 2-methoxyestrogen levels in PCOS patients were also measured. RESULTS: Whereas immunohistochemistry showed that COMT was expressed in ovaries from control and PCOS subjects, its expression was significantly higher in ovaries from subjects with PCOS, in both the follicular structures and ovarian stroma. The urinary 2-hydroxyestrogen level was significantly lower in subjects with PCOS, compared with normal controls (P = 0.009). Additionally, urinary 2-hydroxyestrogen levels negatively correlated with serum insulin levels in subjects with PCOS (r = -0.333, P =0 .031). CONCLUSIONS: Urinary 2-hydroxyestrogen is decreased in subjects with PCOS, which could be due in part to increased ovarian expression of COMT. Further studies are needed to ascertain the role of estrogen metabolism in PCOS before this information can be used in clinical settings.

Patterns of LHbetacf among women in health and disease.

Urine based gonadotropin assays provide a practical means of analyzing hormone secretion patterns. While research protocols have revealed pulsatile patterns of gonadotropins such as LH in the blood, these assays are of limited clinical use since daily venipuncture sampling is not feasible outside of a research environment. However, collection of several urine samples provides a method to achieve the same visualization of gonadotropin patterns in patients using a convenient and generally applicable technique based on analysis of the highly stable hLHbetacf for monitoring LH and hCGbetacf for monitoring pituitary hCG. We demonstrated that two different sampling techniques for analyzing these gonadotropin metabolites yielded the same information on their excretory patterns, either sampling of spot urines or collecting first morning void urines for several days. Next, we studied the core excretory patterns in several populations: menstruating and postmenopausal women from the general population, and two populations of women from a fertility center, one of which had polycystic ovaries (PCO). The PCO population was also subdivided into those with and without insulin resistance (IR). It was found that our hLHbetacf assay did not measure the form of the LH core (v-hLHbetacf) produced in subjects who were homozygous for a variant form of LH (v-LH). None of our patients tested were homozygous for the variant form of LH. It was also found that in most non-PCO (NPCO) patients, the hLHbetacf peak lasted for 7-9 days while among the PCO patients this peak frequently lasted for less than 7 days and an erratic pattern tended to appear. The overall differences in patterns between the PCO and NPCO patients were confirmed by spectral statistical methods. The prevalence of certain characteristic hLHbetacf patterns may be higher among women with PCO with a more severe clinical presentation. Use of urinary analysis of gonadotropin metabolites, especially hLHbetacf, may supplement subjective ultrasound studies with more sensitive biochemical measurements.

Bisphenol A and Ovarian Reserve among Infertile Women with Polycystic Ovarian Syndrome.

To better understand possible effects of bisphenol A (BPA) exposure on ovarian reserve in women with polycystic ovary syndrome (PCOS), we measured creatinine adjusted urinary BPA (BPA_Cre) concentrations and used regression models to evaluate the association between urinary BPA level and antral follicle count (AFC), antimullerian hormone (AMH), day-3 follicle stimulating hormone levels (FSH) and inhibin B (INHB) in 268 infertile women diagnosed with PCOS. BPA was detected in all women with a median concentration of 2.35 ng/mL (the 25th and 75th percentiles of 1.47 ng/mL and 3.95 ng/mL). A unit increase in BPA_Cre was associated with a significant decrease of 0.34 in AFC (ß = -0.34, 95% CI = -0.60, -0.08; p = 0.01). Likewise, BPA was negatively associated with AMH and day-3 FSH levels, but neither of them reached statistical significance. No association was observed between BPA and INHB. Our results suggest that in women with PCOS, BPA may affect ovarian follicles and, therefore, reduce ovarian reserve.

Genotypes at 11beta-hydroxysteroid dehydrogenase type 11B1 and hexose-6-phosphate dehydrogenase loci are not risk factors for apparent cortisone reductase deficiency in a large population-based sample.

CONTEXT: Apparent cortisone reductase deficiency (ACRD) is a rarely ascertained condition characterized by signs of androgen excess in women or children and decreased urinary excretion of cortisol metabolites compared with cortisone metabolites. These findings suggest a deficiency of 11beta-hydroxysteroid dehydrogenase type 1 (11-HSD1; encoded by the HSD11B1 gene), which normally converts cortisone to cortisol. Common polymorphisms in both HSD11B1 and the hexose-6-phosphate dehydrogenase (H6PD) gene encoding hexose-6-phosphate dehydrogenase have been found together in ACRD patients, who carry three of a possible four minor alleles at the two loci. OBJECTIVE: The objective of this study was to confirm the postulated digenic inheritance mechanism for ACRD. DESIGN: This was a population-based association study (Dallas Heart Study). Subjects were genotyped for the 1971T>G polymorphism in intron 3 of HSD11B1 and the R453Q polymorphism in H6PD. SUBJECTS: The study comprised 3551 individuals in a population-based sample (50% black, 35% white, and 15% Hispanic). MAIN OUTCOME MEASURE: The main outcome measure was association between genotypes and risk for polycystic ovarian syndrome. RESULTS: Both polymorphisms occurred more frequently than previously reported. Thus, ACRD genotypes (at least three of four minor alleles) occurred in 7.0% of subjects. There were no associations between genotype and body mass index; waist/hip ratio; visceral adiposity; measures of insulin sensitivity; levels of testosterone, FSH, or LH (in females); or risk of polycystic ovarian syndrome. There was no genotype effect on urinary free cortisol/cortisone or corticosteroid metabolite ratios, which were measured in 10 subjects, each carrying zero, three, or four minor alleles. CONCLUSIONS: Previously reported associations of ACRD with HSD11B1 and H6PD alleles represent ascertainment bias. However, rare severe mutations in these genes cannot be ruled out.

Detection of urine metabolites in polycystic ovary syndrome by UPLC triple-TOF-MS.

BACKGROUND: Polycystic ovary syndrome (PCOS) is an endocrine disorder whose pathogenesis remains unclear. There are also no effective biomarkers for this disease. We evaluated the metabolic changes in PCOS patients and to investigate potential metabolic biomarkers for PCOS. METHODS: Twenty-two women with PCOS and 15 healthy controls were studied. Urine samples were assessed through ultra-performance liquid chromatography-mass spectrometry followed by principal component analysis and partial least squares discriminant analysis. RESULTS: Using the presented methods, 59 urine metabolites were found at different concentrations in PCOS patients. Moreover, two novel potential biomarkers, testosterone-glucuronide and 11α-hydroxyprogesterone, and four candidate biomarkers, benzofenap, methionyl-phenylalanine, MG(18:4(6Z,9Z,12Z,15Z)/0:0/0:0) and 2-(14,15-epoxyeicosatrienoyl) glycerol, were found to show significant differences through variance analysis (P<0.01) and were identified as target metabolites. The two potential biomarkers identified in this study highly correlate to the metabolites catalyzed by the ovarian cytochrome P450c17α. CONCLUSIONS: Two novel potential urinary biomarkers, testosterone-glucuronide and 11α-hydroxyprogesterone, and four candidate urinary biomarkers, benzofenap, methionyl-phenylalanine, MG(18:4(6Z,9Z,12Z,15Z)/0:0/0:0), and 2-(14,15-epoxyeicosatrienoyl) glycerol, were identified in PCOS patients by a metabolomic approach. Further study of the biomarkers using larger populations is needed to validate these biomarkers and thereby understand the pathogenesis of PCOS, potentially allowing for its diagnosis.

Variations of steroid hormone metabolites in serum and urine in polycystic ovary syndrome after nafarelin stimulation: evidence for an altered corticoid excretion.

To evaluate the clinical relevance of testing pituitary-ovarian responses in patients suffering from polycystic ovary syndrome (PCOS) with the GnRH agonist nafarelin, a 1.2-mg dose of nafarelin was given intranasally to 19 women with PCOS and 15 healthy premenopausal women. The subsequent analysis of steroids in both serum and urine during the test was carried out at several time points for up to 24 h. Serum levels of 17 alpha-hydroxyprogesterone were elevated at all time points of the test in PCOS patients vs. controls [at baseline, 3.5 +/- 0.2 vs. 1.8 +/- 0.1 nmol/L (P < 0.001); at 24 h, 9.9 +/- 0.9 vs. 4.9 +/- 0.3 nmol/L (P < 0.001)]. Basal levels of androstenedione were higher in the patient group, but there was no significant change during the test in either group. Serum testosterone levels were also found to differ in PCOS patients compared with the control values at baseline (2.2 +/- 0.2 vs. 1.5 +/- 0.1 nmol/L; P < 0.05) and after nafarelin treatment (at 24 h, 3.2 +/- 0.4 vs. 1.8 +/- 0.2 nmol/L; P < 0.05). Serum estradiol levels rose significantly in both groups during the test; the posttest levels were significantly higher in PCOS than in controls. The PCOS patients displayed a significant increase in androgen and gestagen metabolites as well as in glucocorticoid metabolites excreted in the urine during the 24 h. In the control subjects, except for 17 alpha-hydroxypregnanolone, which rose significantly, none of the urinary steroids investigated showed relevant changes during the nafarelin test. The posttest excretion of allo-tetrahydrocortisol (1.4 +/- 0.2 vs. 0.3 +/- 0.1 mumol/g creatinine; P < 0.001) and the increase in 17 alpha-hydroxypregnanolone excretion (1.4 +/- 0.2 vs. 0.3 +/- 0.1 mumol/g creatinine; P < 0.001) were distinctly higher in PCOS patients than in the controls; the diagnostic sensitivity of the combination of both parameters was 89% at a 93% specificity. Thus, measurements of 17 alpha-hydroxyprogesterone levels in serum and of urinary allo-tetrahydrocortisol and 17 alpha-hydroxypregnanolone after nafarelin treatment make this stimulation test a valuable diagnostic tool for identifying PCOS patients. The significant changes in the excretion of urinary androgen and gestagen metabolites, unmasked by GnRH agonist stimulation, suggest a functional alteration of the pituitary-ovarian axis. The reason for the increased excretion of glucocorticoid metabolites after nafarelin stimulation remains to be clarified.

Prostate-specific antigen and human glandular kallikrein 2 are markedly elevated in urine of patients with polycystic ovary syndrome.

Prostate-specific antigen (PSA) is a well-established tumor marker of prostatic adenocarcinoma. Human glandular kallikrein 2 (hK2), another serine protease closely related to PSA, is also gaining ground as a promising diagnostic tool in prostate cancer. The expression of these 2 proteases is known to be regulated by androgens and progestins in hormonally responsive tissues, such as the male prostate and the female breast. Previously, we have shown that serum PSA levels in normal women are very low but still detectable by ultrasensitive PSA immunoassays. We have also demonstrated that some women with hyperandrogenic syndromes have elevated serum PSA levels. In this study, we have measured urinary PSA and urinary hK2 levels in 35 polycystic ovary syndrome (PCOS) patients and compared them to those of 41 age-matched controls. We found that urinary PSA levels were significantly higher (P < 0.0001) in PCOS patients (mean +/- SE = 820 +/- 344 ng/L) than in the controls (mean +/- SE = 4.3 +/- 1.8 ng/L). Similarly, the difference between urinary hK2 of patients (mean +/- SE = 8.2 +/- 3.1 ng/L) and controls (0.5 +/- 0.3 ng/L) was also significant (P < 0.001). A weak correlation was observed between urinary PSA and serum 3 alpha-androstanediol glucuronide (r(s) = 0.42, P = 0.03) as well as between urinary PSA and serum testosterone (r(s) = 0.40, P = 0.04). The results of this study indicate that urinary PSA, and possibly urinary hK2, are promising markers of hyperandrogenism in females suffering from PCOS.

Beyond adrenal and ovarian androgen generation: Increased peripheral 5 alpha-reductase activity in women with polycystic ovary syndrome.

Hyperandrogenism, a main clinical feature of polycystic ovary syndrome (PCOS), is thought to result from enhanced ovarian and adrenal androgen generation. To investigate the contribution of peripheral steroidogenesis, we used an oral challenge with dehydroepiandrosterone (DHEA) and analyzed its downstream conversion toward androgens in eight women with PCOS (age, 20-32 yr; body mass index, 20-41 kg/m(2)) and eight healthy women matched for age and body mass index. They underwent frequent serum sampling and urine collection for 8 h on three occasions: at baseline, and after 4 d of dexamethasone (Dex; 4 x 0.5 mg/d), followed by ingestion of 100 mg DHEA or placebo. Dex induced similar significant suppression of circulating steroids in both groups. The oral DHEA challenge led to similar significant increases in the area under the concentration-time curve (0-8 h after Dex) of serum DHEA, DHEA sulfate, androstenedione, and testosterone. However, after oral DHEA, PCOS women had significantly higher increases in serum 5 alpha-dihydrotestosterone (P < 0.01), its main metabolite androstanediol glucuronide (P < 0.05), and the 5 alpha-reduced urinary androgen metabolite androsterone (P < 0.05). PCOS women also had significantly higher baseline excretion of 5 alpha-reduced glucocorticoid (P < 0.01) and mineralocorticoid metabolites (P < 0.05). Taken together, these data indicate enhanced peripheral 5 alpha-reductase activity in PCOS. Thus, not only ovary and adrenal, but also liver and peripheral target tissues, significantly contribute to steroid alterations in PCOS.

Further evidence against dopamine deficiency as the cause of inappropriate gonadotropin secretion in patients with polycystic ovary syndrome.

Previous studies suggested that a relative dopamine (DA) deficiency may explain the altered LH secretory dynamics that occur in patients with polycystic ovary syndrome (PCO). These studies included findings of decreased urinary excretion of homovanillic acid (HVA), a metabolite of DA, and increased urinary excretion of 3-methoxy-4-hydroxyphenylglycol (MHPG), the major brain metabolite of norepinephrine. To further explore the role of DA in these patients, disulfiram (250 mg) was administered daily for 2 weeks to alter the conversion of DA to norepinephrine and to increase both peripheral and central DA in patients with PCO and in normal women. LH pulse frequency and amplitude and the serum LH response to GnRH were assessed before and during disulfiram administration. A dopaminergic effect during disulfiram administration was evidenced by a decrease in serum PRL in the PCO patients and an increase in urinary HVA excretion and a decrease in the ratio of 3-methoxy-4-hydroxyphenylglycol to HVA in urine in both groups (all P less than 0.05). This increase in DA did not significantly alter the serum estrogen level, the mean serum LH level, LH pulse amplitude, or serum LH responses to GnRH in either the PCO patients or the normal women. These data suggest that increasing endogenous DA does not correct the inappropriate gonadotropin secretion characteristic of PCO and places further doubt on the importance of DA in explaining the altered LH secretory dynamics in these patients.