Prevalence and characteristics of polycystic ovary syndrome in Brazilian women: protocol for a nation-wide case-control study

Anthropometric, Metabolic, and Endocrine Parameters as Predictors of Estimated Average Glucose and Other Biomarkers of Dysglycemia in Women with Different Phenotypes of Polycystic Ovary Syndrome

The aim of the study was to evaluate the efficacy of anthropometric, metabolic, and endocrine abnormalities as predictors of estimated average glucose and other biomarkers of dysglycemia in women with different phenotypes of polycystic ovary syndrome (PCOS). This cross-sectional study included 648 women with PCOS and 330 controls. A single protocol of investigation was applied for all subjects. PCOS women were divided by phenotypes according to the Rotterdam criteria. Biomarkers of dysglycemia were considered dependent variables and anthropometric, lipid, and hormone alterations as independent variables using univariate and multivariate logistic regressions. Univariate logistic regression analysis, controlled for age and BMI, showed that many biomarkers of dysglycemia could be predicted by anthropometric, lipid, and endocrine variables. Multivariate logistic models showed that in non-PCOS women estimated average glucose (eAG) was predicted by lower TSH levels (OR=0.39; p=0.045); fasting glucose was predicted by increased T (OR=2.3). For PCOS, phenotype A, eAG was predicted by decreased HDL-C (OR=0.17, p=0.023) and high levels of free estradiol (OR=7.1, p<0.001). Otherwise, in PCOS, phenotype D, eAG was predicted by higher levels of HDL-C. The current study demonstrated that eAG was poorly predicted by anthropometric, lipid, and hormone parameters. Nevertheless, without adding significant benefits, it was comparable with other established markers of dysglycemia in women with different PCOS phenotypes.

The status of relationship between coping strategies and quality of life in women with polycystic ovary syndrome

BACKGROUND

Polycystic ovary syndrome (PCOS) has a profound effect on patients' quality of lives; and it is important to identify the affecting factors. The aim of this study was to assess the status of and relationship between coping strategies and quality of life in women with PCOS.

MATERIALS AND METHODS

In this cross-sectional study, we recruited 200 married women (20-50 years old) with PCOS from Arash and Bu Ali hospitals in Tehran in 2019-2020. Data were collected using the two following questionnaires: Coping strategies and quality of life. Data were analyzed using the regression analysis test in the SPSS-21.

RESULTS

The results showed that 119 (59.5%) participants were identified with increased hirsutism, 166 (83%) women were obese, 140 (70%) had irregular menstruation and 136 participants (68%) had painful menstruation as the side effects of PCOS. Sixty nine (34.5%) individuals reported unknown side effects. There was a relationship between emotional coping strategy and problem solving coping strategy with quality of life (beta = 0.270 and 0.219, respectively).

CONCLUSION

Patients with PCOS were more likely to use emotional coping strategies. Low quality of life exacerbated symptoms of the disease.

Metabolic profile of women with PCOS in Brazil: a systematic review and meta-analysis

BACKGROUND

Polycystic ovary syndrome (PCOS) is a common endocrine disease affecting women of reproductive age and associated with reproductive and metabolic dysfunction. Few studies are available regarding metabolic traits in Brazilian women with PCOS. The aim of this systematic review and meta-analysis was to summarize the available evidence regarding metabolic traits and comorbidities in Brazilian women with polycystic ovary syndrome (PCOS).

METHODS

We systematically searched PubMed, Cochrane Central Register of Controlled Trials, and Embase for cross-sectional, case-control, or cohort studies focusing on populations of different regions from Brazil, published until July 31, 2019. Studies were selected if they reported PCOS diagnostic criteria. Studies without a control group were included if they presented relevant metabolic data.

RESULTS

Of 4856 studies initially identified, 27 were included in the systematic review and 12 were included in the meta-analysis, for a total of 995 women with PCOS defined by Rotterdam criteria and 2275 controls from different regions of Brazil. Obesity, metabolic syndrome and IGT were prevalent, and standard mean differences for BMI (SMD 0.67, 95% CI, 0.29, 1.05), waist circumference (SMD 0.22, 95% CI 0.02, 0.41), systolic (SMD 0.66, 95% CI 0.30, 1.01) and diastolic blood pressure (SMD 0.55, 95% CI 0.24, 0.87), glucose (SMD 0.21, 95% CI 0.04, 0.38) and HOMA (SMD 0.78, 95% CI 0.52, 1.04) were significantly higher in Brazilian women with PCOS compared to controls. Lipid profile was more adverse in PCOS vs. non-PCOS women. Between-study heterogeneities were low/moderate for glucose and HOMA and moderate/high for the other variables.

CONCLUSIONS

The data of this systematic review and meta-analysis indicate that Brazilian women with PCOS have a worse metabolic profile than women without PCOS with no important regional differences. The prevalence of metabolic changes is intermediate in Brazil vs. other countries.

Therapeutic Effect of Curcumin in Women with Polycystic Ovary Syndrome Receiving Metformin: A Randomized Controlled Trial

Polycystic ovary syndrome (PCOS) is the most common cause of anovulatory infertility, for which the insulin sensitizer metformin has been used therapeutically. It has been shown that curcumin also exhibits insulin-sensitizing properties. Given that metformin acts as an ovulation inducing agent and both curcumin and metformin can reduce insulin resistance, the aim of the current study was to evaluate the effect of metformin with and without curcumin nanomicelles in the treatment of women with polycystic ovary syndrome. This clinical trial was conducted on 100 women with PCOS, diagnosed according to the Rotterdam criteria, who were sequentially recruited and randomly divided into two groups (n = 50 each). Group 1 received 500 mg metformin three times daily and group 2 received 80 mg/day capsule of curcumin nanomicelle and 500 mg metformin three times a day for 3 months. After collecting fasting blood samples, biochemical parameters including triglycerides, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol, plasma glucose, alanine amino transferase (ALT) and aspartate aminotransferase (AST) were evaluated based on enzymatic methods. Hormonal parameters were assessed using immunoassay kits. Insulin resistance (HOMA-IR) and insulin-sensitivity check index (QUICKI) were also assessed. After treatment, fasting insulin, HOMA-IR, and total testosterone in group 2 were significantly lower than those in group 1 (p < 0.05). Post-treatment LDL-C levels in groups 1 and 2 were 117.9 ± 24 and 91.12 ± 19.46 mg/dL, respectively (p < 0.01). In addition, HDL-C levels were increased with curcumin (group 1: 38.1 ± 4.36 mg/dL; group 2: 44.12 ± 7.3 mg/dL, p < 0.05). Total cholesterol was decreased with curcumin level (group 1: 207.9 ± 39.84 mg/dL; group 2; 159.7 ± 48.43 mg/dL, p < 0.05), with a decrease in triglycerides levels (group 1: 141.6 ± 9.57; group 2: 97.5 ± 8.8 mg/dL, p < 0.01). This study showed that curcumin has a synergistic effect with metformin in the improvement of insulin resistance and lipid profile in patients with PCOS. Therefore, the combined use of metformin and curcumin may have therapeutic utility in patients with PCOS.

Polymorphisms of the GSTT1 and GSTM1 genes in polycystic ovary syndrome

SUMMARY BACKGROUND: This study aimed to investigate the deletion polymorphisms of the genes of the glutathione S-transferase family GSTT1 and GSTM1 in patients with Polycystic Ovarian Syndrome (PCOS), comparing them with a control population. METHODS: Blood was collected from 219 women (110 with PCOS and 109 controls) and genomic DNA was extracted. For the analysis of polymorphisms, the technique used was multiplex PCR. In the statistical analysis, the chi-square test and multiple logistic regression were used. RESULTS: There is no association between the GSTM1 null and GSTT1 null genotypes with PCOS when analyzed separately (P = 0.616 and P = 0.188). The analysis of the combined genotypes showed differences between the groups (P < 0.05), evidencing that the genotypic combination GSTT1 positive and GSTM1 negative is more frequent among patients. In the multivariate analysis, smoking was more frequent in the control group (OR = 0.22; 95% CI - 0.87-0.57; P = 0.002) while the presence of a family history of PCOS (OR = 2, 96; 95% CI - 1.54-5.68; P = 0.001) was more frequent in women with PCOS. CONCLUSIONS: In the studied sample, the deletion polymorphisms of the GSTT1 and GSTM1 genes isolated are not associated with PCOS, but in combination, they may be implicated in the etiology of the condition.

Prevalence of metabolic disturbances among women with polycystic ovary syndrome in different regions of Brazil

OBJECTIVE

To describe the prevalence of metabolic disturbances in a large cohort of women with polycystic ovary syndrome (PCOS) in southeastern Brazil and to compare the findings with other cohorts of Brazilian women with PCOS.

METHODS

A retrospective study analyzing clinical and laboratory data of 462 women with PCOS treated at an outpatient clinic in a tertiary hospital in southeastern Brazil. Prevalence of insulin resistance, glucose intolerance, type 2 diabetes, dyslipidemia, central obesity, hypertension, and metabolic syndrome was compared to that of other cohorts of age and body mass index-matched Brazilian women with PCOS.

RESULTS

Women with PCOS had a median age of 25.0 (21.0-29.0) years and BMI of 28.7 (23.9-34.0) kg/m² . Prevalence of insulin resistance, glucose intolerance, and type 2 diabetes varied from 39.6% to 55.0%, 7.2% to 28.1%, and 2.0% to 4.1%, respectively. Prevalence of central obesity, dyslipidemia due to decreased high-density lipoprotein cholesterol, hypertriglyceridemia, and metabolic syndrome ranged from 57.8% to 66.4%, 54.1% to 70.4%, 22.9% to 35.1%, and 27.4% to 38.3%, respectively, which did not differ among regions in Brazil.

CONCLUSION

Prevalence of metabolic disturbances was high among Brazilian women with PCOS. This study suggests that, from a public health perspective, authorities in Brazil should be aware of and encourage screening for metabolic dysfunction in women with PCOS in all regions of the country.