scholarly journals Prevalence of metabolic syndrome in four phenotypes of PCOS and its relationship with androgenic components among Iranian women: A cross-sectional study

2020 ◽  
Author(s):  
Narges Zaeemzadeh ◽  
Shahideh Jahanian Sadatmahalleh ◽  
Saeideh Ziaei ◽  
Anoshirvan Kazemnejad ◽  
Azadeh Mottaghi ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Sex Hormone Binding Globulin ◽  
Control Group ◽  
Total Testosterone ◽  
Ovary Syndrome ◽  
Significant Positive Association ◽  
Cross Sectional ◽  
Significant Difference

Background: Polycystic ovary syndrome (PCOS) increases the risk of metabolic syndrome (MetS). Insulin resistance (IR) plays a major role in the pathophysiology of both PCOS and MetS. Objective: This study was designed to compare the prevalence of MetS among different phenotypes of PCOS and its relationship with androgenic components. Materials and Methods: 182 participants eligible for this five-group comparative study were selected by convenience sampling method. They were classified according to the Rotterdam criteria: clinical and/or biochemical hyperandrogenism (H) + PCOS on ultrasound (P) + ovulation disorders (O) (n = 41), clinical and/or biochemical H + PCOS on P (n = 33), PCOS on P + O (n = 40), clinical and/or biochemical H + O (n = 37), and control (without PCOS) (n = 31). MetS was measured based on the National Cholesterol Education Program Adult Treatment Panel III criteria. Androgenic components included free androgen- index (FAI), total-testosterone (TT) level and sex-hormone-binding-globulin (SHBG). Results: A significant difference was observed between the study groups in terms of MetS prevalence (p = 0.01). In phenotype H+P+O, there was a statistically significant positive association between TG and TT, and a significant negative association between SBP and DBP with SHBG. In phenotype O+P, WC was inversely associated with SHBG. In phenotype H+O, FBS and TG were positively associated with FAI but HDL was inversely associated with FAI. Moreover, WC and DBP were positively associated with TT in phenotype H+O. No associations were detected between MetS parameters and androgenic components in other PCOS subjects (phenotype H+P) and in the control group. TT was significantly higher in the PCOS group suffering from MetS (p = 0.04). Conclusion: According to the research results, hyperandrogenic components are potent predictors of metabolic disorders. Thus, we suggest that MetS screening is required for the prevention of MetS and its related complications in PCOS women. Key words: Polycystic ovary syndrome, Metabolic syndrome, Hyperandrogenism.

scholarly journals Increased micronucleus frequencies in peripheral blood lymphocytes in women with polycystic ovary syndrome

2006 ◽  
Vol 154 (4) ◽  
pp. 563-568 ◽  
Author(s):  
Elif Yesilada ◽  
Ibrahim Sahin ◽  
Hamdi Ozcan ◽  
Ibrahim Halil Yildirim ◽  
Saim Yologlu ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Genomic Instability ◽  
Polycystic Ovary ◽  
Peripheral Blood Lymphocytes ◽  
Sex Hormone Binding Globulin ◽  
Control Group ◽  
Total Testosterone ◽  
Ovary Syndrome ◽  
Insulin Levels ◽  
Pcos Group

Objective: We aimed to assess possible genomic instability in women with polycystic ovary syndrome (PCOS). Design: The frequency of micronuclei in cultured peripheral lymphocytes was used as a biomarker of genomic instability in somatic cells. Methods: Nineteen women, diagnosed with PCOS and 19 healthy female volunteers of corresponding ages and body-mass index (BMI) were included in the study. Micronuclei frequencies were assessed in cytokinesis-blocked lymphocytes. Results: The frequency of micronucleated cells (per thousand) was 9.00 (5.00) (interquartile range in parentheses) for patient group and 3.0 (3.0) for the control group (P < 0.0001, Mann-Whitney U-test). The serum levels of follicle-stimulating hormone (FSH), estradiol, prolactin, glucose and dehydroepiandrosterone sulfate (DHEAS) and the homeostasis model of assessment of insulin resistance (HOMA-IR) were not different between the two groups (P > 0.05). Serum total testosterone, luteinizing hormone (LH) and insulin levels and hirsutism score in the PCOS group were significantly (P = 0.007, P < 0.0001, P = 0.009 and P < 0.0001 respectively) higher than those of the control group (2.3 (2.1) nmol/l vs 1.7 (0.4) nmol/l; 8.5 (5.88) mU/ml vs 4.8 (4.4) mU/ml; 6.8 (5.1) μU/ml vs 9.7 (4.2) μU/ml; 19.5 (6.5) vs 4.0 (2.5) respectively). However, the mean level of sex hormone-binding globulin (SHBG) in PCOS group was significantly (P = 0.004) lower than in control group (36.4(22.6) nmol/l vs 48.6(25.2) nmol/l respectively). Conclusion: These findings suggest that women with PCOS have a high incidence of genomic instability, and this condition is positively correlated with the hirsutism score, BMI, LH and serum total testosterone and insulin levels, and is negatively correlated with SHBG.

scholarly journals Association of SNP rs700519 in CYP19A1 Gene with Polycystic Ovary Syndrome (PCOS) Among Females of Quetta, Pakistan

2021 ◽  
Vol 21 (03) ◽  
Author(s):  
Rozeena Shaikh
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Cross Sectional Study ◽  
Control Group ◽  
Ovary Syndrome ◽  
Chi Square ◽  
Cross Sectional ◽  
Significant Difference ◽  
Reproductive Disorder ◽  
Pcos Group

ABSTRACT Polycystic Ovary Syndrome (PCOS) is endocrine reproductive disorder which causes oligomenorrhea/ amenorrhea, infertility, type II diabetes. The present study aims in CYP19A1 polymorphism rs700519 (C/T) identification that elevates androgen among PCOS females in Quetta, Pakistan. Cross-sectional study involved enrollment of 100 control and 100 affected females. Blood samples were collected for genetic and hormonal analysis. The samples were amplified via ARMS PCR and analyzed by sequencing. The frequency of CC genotype in control and PCOS group was 48 percent and 33 percent. For CT, it was 52 percent and 67 percent. In control group, the allele frequency for C and T was 0.74 and 0.26. In PCOS group, it was 0.67 and 0.33 for C and T, respectively. The Pearson Chi-Square p=0.031 (p<0.05) at 95% Confidence Interval inferred a significant difference between the observed genotypes. The study inferred that CT genotype is a risk factor for PCOS progression in the population of Quetta.

scholarly journals Polymorphisms of TCF7L2 gene in South Brazilian women with polycystic ovary syndrome: a cross-sectional study

2013 ◽  
Vol 169 (5) ◽  
pp. 569-576 ◽  
Author(s):  
Ramon Bossardi Ramos ◽  
Denusa Wiltgen ◽  
Poli Mara Spritzer
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Cross Sectional Study ◽  
Sex Hormone Binding Globulin ◽  
Total Testosterone ◽  
Model Assessment ◽  
Nucleotide Polymorphisms ◽  
Sectional Study ◽  
Ovary Syndrome ◽  
Cross Sectional

ObjectiveTo assess whetherTCF7L2single nucleotide polymorphisms rs7903146 C/T and rs11196236 C/T are associated with polycystic ovary syndrome (PCOS) in South Brazilian women.DesignCross-sectional study.MethodsTwo hundred PCOS patients and 102 non-hirsute, ovulatory controls were genotyped by real-time PCR. Haplotypes were constructed from the combination of both polymorphisms. Frequencies were inferred using the PHASE 2.1.1 software.Results and conclusionsThe distribution of rs7903146 (PCOS, 54.4% CC; 28.5% CT; 17.1% TT; controls, 51.0% CC; 37.0% CT; 12.0% TT) and rs11196236 (PCOS, 4.3% CC; 33.5% CT; 62.2% TT; controls, 3.2% CC; 35.5% CT; 61.3% TT) was similar between the groups. rs7903146 and rs11196236 were not in linkage disequilibrium (|D′|=0.34;r2=0.07). PCOS participants were younger, with higher age-adjusted BMI, waist circumference, blood pressure, triglycerides, insulin, homeostasis model assessment index to estimate insulin resistance and total testosterone, and lower HDL-C and sex hormone binding globulin vs controls. In PCOS, no differences between genotypes and haplotypes were found for clinical and metabolic variables. However, for each T (rs7903146) and T (rs11196236) allele added to the haplotypes, a variation of 5.87 cm in waist (Ptrend=0.01), 10.7 mg/dl in total cholesterol (Ptrend=0.03), and 10.3 mg/dl in LDL-C (Ptrend=0.01) was recorded.TCF7L2variants are probably not implicated in PCOS development in South Brazilian women.

scholarly journals Serum Asprosin Level in Different Subtypes of Polycystic Ovary Syndrome: A Cross-sectional Study

2020 ◽  
Author(s):  
yonghui jiang ◽  
yue liu ◽  
zhiheng yu ◽  
ping yang ◽  
lei xie ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Laboratory Data ◽  
Control Group ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Significant Difference ◽  
Pcos Group

Abstract Objective Polycystic ovary syndrome (PCOS) can be divided into different subtypes, including insulin resistance (IR) and hyperandrogenism (HA). Asprosin is a novel hormone associated with IR; however, the role of asprosin in women with PCOS has not been investigated. Thus, the aim of this study was to investigate the relationship between serum asprosin levels and PCOS subtypes. Methods Ninety-three women with PCOS and 77 healthy women as controls were selected for this study. Clinical and laboratory data were compared between the PCOS group and the control group. The PCOS group was further divided into subgroups: 1) women with or without HA (PCOS HA and PCOS NHA, respectively); 2) women with or without IR (PCOS IR and PCOS NIR, respectively). Serum asprosin was measured by ELISA. Results Serum asprosin levels showed no significant difference between the PCOS and control groups. However, it was significantly lower in the PCOS HA and IR groups compared to the respective PCOS NHA and NIR groups (P < .05). In the PCOS group, serum asprosin was negatively correlated with body mass index, luteinizing hormone, testosterone, basal antral follicles, fasting insulin, Homeostatic Model Assessment of Insulin Resistance, and triglycerides. After adjusting for BMI, the correlations were not significant and asprosin was only positively correlated with prolactin (r = 0.426, P < .001). Conclusions Our study shows that women with PCOS HA or IR exhibit significantly lower serum asprosin levels compared to controls, and the lower asprosin level directly correlated with PRL level.

scholarly journals Association of SNP rs700519 in CYP19A1 Gene with Polycystic Ovary Syndrome (PCOS) Among Females of Quetta, Pakistan

2021 ◽  
Vol 21 (02) ◽  
Author(s):  
Rozeena Shaikh
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Cross Sectional Study ◽  
Control Group ◽  
Ovary Syndrome ◽  
Chi Square ◽  
Cross Sectional ◽  
Significant Difference ◽  
Reproductive Disorder ◽  
Pcos Group

ABSTRACT Polycystic Ovary Syndrome (PCOS) is endocrine reproductive disorder which causes oligomenorrhea/ amenorrhea, infertility, type II diabetes. The present study aims in CYP19A1 polymorphism rs700519 (C/T) identification that elevates androgen among PCOS females in Quetta, Pakistan. Cross-sectional study involved enrollment of 100 control and 100 affected females. Blood samples were collected for genetic and hormonal analysis. The samples were amplified via ARMS PCR and analyzed by sequencing. The frequency of CC genotype in control and PCOS group was 48 percent and 33 percent. For CT, it was 52 percent and 67 percent. In control group, the allele frequency for C and T was 0.74 and 0.26. In PCOS group, it was 0.67 and 0.33 for C and T, respectively. The Pearson Chi-Square p=0.031 (p<0.05) at 95% Confidence Interval inferred a significant difference between the observed genotypes. The study inferred that CT genotype is a risk factor for PCOS progression in the population of Quetta.

scholarly journals The Relevant Hormonal Levels and Diagnostic Features of Polycystic Ovary Syndrome in Adolescents

2020 ◽  
Vol 9 (6) ◽  
pp. 1831
Author(s):  
Elena Khashchenko ◽  
Elena Uvarova ◽  
Mikhail Vysokikh ◽  
Tatyana Ivanets ◽  
Lyubov Krechetova ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Polycystic Ovary Syndrome ◽  
Diagnostic Accuracy ◽  
Polycystic Ovary ◽  
Regression Function ◽  
High Sensitivity ◽  
Sex Hormone Binding Globulin ◽  
Control Group ◽  
Ovary Syndrome ◽  
Diagnostic Features

Relevance: The clinical picture of polycystic ovary syndrome (PCOS) is extremely polymorphic, especially in adolescence. At the same time, the diagnostic criteria of PCOS in adolescence are still under discussion, and the hormonal parameters, including anti-Mullerian hormone range and hyperandrogenism, are not determined. The aim of the present study was to characterize the pivotal clinical and hormonal features of PCOS in adolescents and to establish the age-specific thresholds of the most essential hormonal parameters. Design: A case-control study. Methods: The study included 130 girls with PCOS according to the complete Rotterdam criteria, aged 15 to 17 years. The control group consisted of 30 healthy girls with a regular menstrual cycle of the same age. A complete clinical and laboratory examination, hormonal assays, and ultrasound of the pelvic organs were performed. The serums anti-Mullerian hormone (AMH), follicle-stimulating hormone (FSH), luteinizing hormone (LH), LH/FSH, prolactin, estradiol, 17α-OH progesterone (17α-OHP), androstenedione, testosterone (T), dehydroepiandrosterone sulfate (DHEAS), sex hormone-binding globulin (SHBG), leptin, and free androgen index (FAI) were analyzed. The diagnostic accuracy of AMH, FAI, LH/FSH, T, and androstenedione levels in predicting PCOS in adolescents was established using a logistic regression model and calculating area under the receiver operator characteristic (ROC) curve (AUC). Results: The serum levels of LH (9.0 (5.4–13.8) vs. 3.7 (2.5–4.7) IU/L; p < 0.0001), LH/FSH (1.6 (1.0–2.3) vs. 0.7 (0.5–1.1); p < 0.0001), 17α–OHP (4.1 (3.2–5.1) vs. 3.4 (2.7–3.8) nmol/L; p = 0.0071), cortisol (464.0 ± 147.6 vs. 284.0 ± 129.7 nmol/L; p < 0.0001), prolactin (266.0 (175.0–405.0) vs. 189.0 (142.0–269.0) mIU/L; p = 0.0141), T (1.9 (1.2–2.5) vs. 0.8 (0.7–1.1) nmol/L; p < 0.0001), androstenedione (15.8 (11.6–23.2) vs. 8.3 (6.5–10.8) ng/mL; p < 0.0001), AMH (9.5 (7.5–14.9) vs. 5.8 (3.8–6.9) ng/mL; p < 0.0001), FAI (5.5 (2.8–7.0) vs. 1.6 (1.1–2.3); p < 0.0001), SHBG (37.0 (24.7–55.5) vs. 52.9 (39.0–67.6) nmol/L; p = 0.0136), DHEAS (6.8 ± 3.2 vs. 5.1 ± 1.5 μmol/L; p = 0.0039), and leptin (38.7 ± 27.1 vs. 23.7 ± 14.0 ng/mL; p = 0.0178) were significantly altered in the PCOS patients compared to the controls. Multivariate analysis of all studied hormonal and instrumental parameters of PCOS in adolescents revealed as the most essential: AMH level > 7.20 ng/mL, FAI > 2.75, androstenedione > 11.45 ng/mL, total T > 1.15 nmol/L, LH/FSH ratio > 1.23, and the volume of each ovary > 10.70 cm3 (for each criterion sensitivity ≥ 75.0–93.0%, specificity ≥ 83.0–93.0%). The diagnostic accuracy of PCOS determination was 90.2–91.6% with the combined use of either four detected indexes, which was significantly higher than the use of each index separately. The accuracy of PCOS diagnostics reached 92% using AMH and leptin concentrations when the value of the logistic regression function [85.73 − (1.73 × AMH) − (0.12 × Leptin)] was less than 70.72. Conclusions: The results of the study estimate the threshold for AMH, FAI, androstenedione, testosterone, LH/FSH, and ovarian volume, which could be suggested for use in the PCOS diagnostics in adolescents with a high sensitivity and specificity. Moreover, the combination of either four determined indexes improved the diagnostic accuracy for the PCOS detection in adolescents.

scholarly journals Insulin resistance in relation to clinical, endocrine and metabolic profile of infertile women with polycystic ovary syndrome

2021 ◽  
Vol 14 (1) ◽  
pp. 1-6
Author(s):  
Shakeela Ishrat ◽  
Marufa Hossain ◽  
Subrata Kumar Biswas
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Polycystic Ovary Syndrome ◽  
Body Mass ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Infertile Women ◽  
Significant Difference

The objective of this study is to explore how hyperinsulinemia and insulin resistance relate to the clinical, endocrine and metabolic factors in the infertile women with polycystic ovary syndrome. This study was conducted on 121 consecutive infertile women with polycystic ovary syndrome attending the Infertility unit from January 2017 to December 2017. They were divided into two groups: insulin resistant and insulin sensitive. There was significant difference in body mass index and waist circumference between the two groups. Serum lipids were not associated with insulin resistance. Hyperinsulinemia was significantly associated with metabolic syndrome. Reducing body mass index and waist circumference may improve insulin resistance in infertile women with polycystic ovary syndrome. Screening the infertile women with polycystic ovary syndrome for hyperinsulinemia and insulin resistance and subsequent counseling is recommended to address the long-term risks of metabolic syndrome.

scholarly journals Association between Luteinizing Hormone/Choriogonadotropin Receptor Ins18LQ Gene Polymorphism and Polycystic Ovary Syndrome

2020 ◽  
Vol 8 (A) ◽  
pp. 517-520
Author(s):  
Hilma Putri Lubis ◽  
Muhammad Fidel Ganis Siregar ◽  
Ichwanul Adenin ◽  
Binarwan Halim ◽  
Henry Salim Siregar ◽  
...  
Keyword(s):  
Luteinizing Hormone ◽  
Polycystic Ovary Syndrome ◽  
Gene Polymorphism ◽  
Polycystic Ovary ◽  
Control Group ◽  
Control Groups ◽  
Ovary Syndrome ◽  
Significant Difference ◽  
Pcos Group ◽  
And Control

BACKGROUND: Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders of women in the childbearing period. However, its pathophysiology is still unclear. Certain polymorphisms of the luteinizing hormone/choriogonadotropin receptor (LHCGR) genes may lead to changes in the bioactivity of this hormone. The important functional role of LHCGR in the metabolism of androgen and ovulation, the LHCGR gene variant, may be related to the risk of PCOS. AIM: The aim of this study was to evaluate the association between LHCGR Ins18LQ gene polymorphism and PCOS. METHODS: A case–control study was performed in women with PCOS and non-PCOS from May 2019 to October 2019 in HFC IVF Center. We included 50 women with PCOS and 50 healthy controls. Polymorphism of the LHCGR (ins18LQ) gene was genotyped using polymerase chain reaction-restriction fragment length polymorphism. RESULTS: From this study, we found that there was no significant difference in the proportion of ages between the groups (p > 0.05). There were significant differences in the characteristics of body mass index, FSH level, LH level, and LH/FSH ratio between the PCOS and control groups (p < 0.05). We also found that the proportion of heterozygote variant non-ins/ins was higher in the PCOS group compared to the control group, but there was no significant difference between the polymorphisms of the non-ins and non-nonins variants between the PCOS and control groups (p = 0.269). The frequency of ins alleles was higher in the PCOS group compared to the control group. CONCLUSION: There was no significant association between LHCGR ins18LQ gene polymorphism and PCOS.

scholarly journals Endotrophin as a novel marker in PCOS and its relation with other adipokines and metabolic parameters: a pilot study

2021 ◽  
Vol 12 ◽  
pp. 204201882110496
Author(s):  
Gurhan Guney ◽  
Mine Islimye Taskin ◽  
Ozgur Baykan ◽  
Ertan Adali ◽  
Selin Gul Tezcan ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Density Lipoprotein ◽  
Resistance Index ◽  
Total Testosterone ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Ovary Syndrome ◽  
Significant Difference

Background: Polycystic ovary syndrome is known to be the most common hormonal disorder in women of reproductive age. Current evidence shows that regulatory proteins secreted from the adipose tissue called adipokines may have a role in polycystic ovary syndrome. We planned to investigate the role of endotrophin that has never been researched in polycystic ovary syndrome before and its correlation with other metabolic parameters and adipokines such as adiponectin and ghrelin in patients with polycystic ovary syndrome. Methods: Forty-three women ( n: 43) with polycystic ovary syndrome and 43 ( n: 43) women as a control group were enrolled in this cross-sectional study. Serum levels of endotrophin, adiponectin, and ghrelin levels were measured with the enzyme-linked immunosorbent assay method. High-density lipoprotein cholesterol, low-density lipoprotein cholesterol, total cholesterol levels, luteinizing hormone/follicle-stimulating hormone ratio, total testosterone, and triglyceride levels were measured. Homeostasis model assessment for insulin resistance index, body mass index, Ferriman Gallwey Score, and waist-to-hip ratio were also evaluated. Results: Total testosterone, homeostasis model assessment for insulin resistance, C-reactive protein, luteinizing hormone/follicle-stimulating hormone ratio, and triglyceride levels were higher in patients with polycystic ovary syndrome ( p < 0.01). No difference was detected between the groups in terms of body mass index, Ferriman Gallwey Score, waist-to-hip ratio, total cholesterol, low-density lipoprotein, and high-density lipoprotein levels ( p > 0.05). We did not observe any significant difference in adiponectin and ghrelin levels between the groups ( p > 0.05). Patients with polycystic ovary syndrome had significantly higher endotrophin levels ( p < 0.01). According to our regression analyses [area under the curve: 0.973 (0.935–1.000), 95% confidence interval, 95.2% sensitivity, and 100% specificity], it was shown that endotrophin greater than 92 ng/ml and homeostasis model assessment for insulin resistance greater than 2.5 might be good predictors for polycystic ovary syndrome diagnosis. Conclusion: We demonstrated that endotrophin level is higher in patients with polycystic ovary syndrome and may have predicted polycystic ovary syndrome with increased homeostasis model assessment for insulin resistance index. There was no significant difference in adiponectin and ghrelin levels in the polycystic ovary syndrome group. Endotrophin may have a role in polycystic ovary syndrome etiology rather than other adipokines.

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