scholarly journals A meta-analysis of the effect of sodium glucose cotransporter-2 inhibitors (SGLT-2is) on metabolic parameters in patients with polycystic ovary syndrome (PCOS)

2021 ◽  
Author(s):  
Binayak Sinha ◽  
Sami Ghosal
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Symptomatic Relief ◽  
Group Versus ◽  
Control Group ◽  
Size Estimation ◽  
Childbearing Age ◽  
Ovary Syndrome ◽  
Sodium Glucose Cotransporter

Abstract Background Polycystic ovary syndrome (PCOS) is the most common endocrinopathy among women of childbearing age and is associated with multiple morbidities. However, treatment for this condition is mainly applied for symptomatic relief and does not address the complex pathophysiology of this condition. This meta-analysis was conducted on the usage of sodium-glucose cotransporter 2 inhibitors (SGLT-2is) in PCOS because this group of drugs presents an attractive strategy to address the metabolic and hormonal defects by managing the pathophysiological defects observed in this syndrome. Methods We included prospective trials that enrolled patients with established PCOS and compared an SGLT-2i group versus a control group with at least 2 weeks of follow-up. The standardized mean difference (SMD) was used for effect size estimation from individual studies and was pooled using the fixed effect model. Results We included four trials with a pooled population of 158 patients with documented PCOS who received either an SGLT-2i or standard management. From a metabolic perspective, significant improvements were observed in the reduction in body weight (SMD: -0.68, 95% CI -1.16 to -0.19, < 0.01), fasting plasma glucose (FPG) (SMD: -0.59, 95% CI -0.99 to -0.19, P < 0.01), and insulin resistance as assessed with the HOMA-IR (SMD: -0.39, 95% CI -0.76 to -0.03, P = 0.03). In addition, a significant improvement was noted in dehydroepiandrosterone sulphate (DHEAS) levels (SMD: -0.55, 95% CI -0.94 to -0.16, P < 0.01). Conclusion SGLT-2i use is associated with salutary outcomes of metabolic and anthropometric markers of PCOS and likely favourable hormonal effects.

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

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Poli Mara Spritzer ◽  
Ramon Bossardi Ramos ◽  
Lucas Bandeira Marchesan ◽  
Monica de Oliveira ◽  
Enrico Carmina
Keyword(s):  
Systematic Review ◽  
Polycystic Ovary Syndrome ◽  
Metabolic Profile ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Reproductive Age ◽  
Control Group ◽  
Cochrane Central Register ◽  
Ovary Syndrome ◽  
Metabolic Traits

Abstract 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.

scholarly journals Non‐alcoholic fatty liver disease in premenopausal women with polycystic ovary syndrome: A systematic review and meta‐analysis

JGH Open ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 434-445
Author(s):  
Mohamed Shengir ◽  
Tianyan Chen ◽  
Elena Guadagno ◽  
Agnihotram V Ramanakumar ◽  
Peter Ghali ◽  
...  
Keyword(s):  
Systematic Review ◽  
Liver Disease ◽  
Polycystic Ovary Syndrome ◽  
Fatty Liver Disease ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Premenopausal Women ◽  
Ovary Syndrome ◽  
Alcoholic Fatty Liver ◽  
Alcoholic Fatty Liver Disease

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

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Zora Lazúrová ◽  
Jana Figurová ◽  
Beáta Hubková ◽  
Jana Mašlanková ◽  
Ivica Lazúrová
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Bisphenol A ◽  
Steroid Hormones ◽  
Polycystic Ovary ◽  
Suppressive Effect ◽  
Human Reproduction ◽  
Control Group ◽  
Ovary Syndrome ◽  
Ovarian Steroidogenesis ◽  
The Relationship

Abstract 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.

scholarly journals Effects of probiotic and synbiotic supplementation on insulin resistance in women with polycystic ovary syndrome: a meta-analysis

2021 ◽  
Vol 49 (7) ◽  
pp. 030006052110317
Author(s):  
Chenyun Miao ◽  
Qingge Guo ◽  
Xiaojie Fang ◽  
Yun Chen ◽  
Ying Zhao ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Confidence Interval ◽  
Polycystic Ovary ◽  
Serum Insulin ◽  
Meta Analysis ◽  
Mean Difference ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Synbiotic Supplementation

Objective This meta-analysis evaluated the effect of probiotics and synbiotics on insulin resistance in patients with polycystic ovary syndrome (PCOS). Methods A systematic search was performed to identify all relevant publications listed on the electronic databases (PubMed®, Web of Science, Embase® and China National Knowledge Infrastructure) between inception and 30 October 2020. All statistical analyses were performed on randomized controlled trials (RCTs) using RevMan version 5.3 software provided by the Cochrane Collaboration. Results A total of 486 patients from seven RCTs were included in the meta-analysis. Probiotic and synbiotic supplementation appeared to improve levels of homeostatic model assessment of insulin resistance (mean difference = –0.37; 95% confidence interval –0.69, –0.05) and serum insulin (standardized mean difference = –0.66; 95% confidence interval –1.19, –0.12). The results failed to show any influence of probiotic and synbiotic supplementation on body mass index, waist circumference, hip circumference and fasting blood sugar. Conclusions Probiotics and synbiotics appear to have a partially beneficial effect on indices of insulin resistance in patients with PCOS.

scholarly journals Family-Based Quantitative Trait Meta-Analysis Implicates Rare Noncoding Variants in DENND1A in Polycystic Ovary Syndrome

2019 ◽  
Vol 104 (9) ◽  
pp. 3835-3850 ◽  
Author(s):  
Matthew Dapas ◽  
Ryan Sisk ◽  
Richard S Legro ◽  
Margrit Urbanek ◽  
Andrea Dunaif ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Quantitative Trait ◽  
Rare Variants ◽  
Polycystic Ovary ◽  
Association Studies ◽  
Meta Analysis ◽  
Premenopausal Women ◽  
Endocrine Disorders ◽  
Genome Wide Association Studies ◽  
Ovary Syndrome

AbstractContextPolycystic ovary syndrome (PCOS) is among the most common endocrine disorders of premenopausal women, affecting 5% to15% of this population depending on the diagnostic criteria applied. It is characterized by hyperandrogenism, ovulatory dysfunction, and polycystic ovarian morphology. PCOS is highly heritable, but only a small proportion of this heritability can be accounted for by the common genetic susceptibility variants identified to date.ObjectiveThe objective of this study was to test whether rare genetic variants contribute to PCOS pathogenesis.Design, Patients, and MethodsWe performed whole-genome sequencing on DNA from 261 individuals from 62 families with one or more daughters with PCOS. We tested for associations of rare variants with PCOS and its concomitant hormonal traits using a quantitative trait meta-analysis.ResultsWe found rare variants in DENND1A (P = 5.31 × 10−5, adjusted P = 0.039) that were significantly associated with reproductive and metabolic traits in PCOS families.ConclusionsCommon variants in DENND1A have previously been associated with PCOS diagnosis in genome-wide association studies. Subsequent studies indicated that DENND1A is an important regulator of human ovarian androgen biosynthesis. Our findings provide additional evidence that DENND1A plays a central role in PCOS and suggest that rare noncoding variants contribute to disease pathogenesis.

scholarly journals Relationships Between Biochemical Markers of Hyperandrogenism and Metabolic Parameters in Women with Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis

2019 ◽  
Vol 51 (01) ◽  
pp. 22-34 ◽  
Author(s):  
Mina Amiri ◽  
Fahimeh Tehrani ◽  
Razieh Bidhendi-Yarandi ◽  
Samira Behboudi-Gandevani ◽  
Fereidoun Azizi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Polycystic Ovary Syndrome ◽  
Biochemical Markers ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Metabolic Parameters ◽  
High Density Lipoproteins ◽  
Total Testosterone ◽  
Ovary Syndrome ◽  
Increased Risk

AbstractWhile several studies have documented an increased risk of metabolic disorders in patients with polycystic ovary syndrome (PCOS), associations between androgenic and metabolic parameters in these patients are unclear. We aimed to investigate the relationships between biochemical markers of hyperandrogenism (HA) and metabolic parameters in women with PCOS. In this systematic review and meta-analysis, a literature search was performed in the PubMed, Scopus, Google Scholar, ScienceDirect, and Web of Science from 2000 to 2018 for assessing androgenic and metabolic parameters in PCOS patients. To assess the relationships between androgenic and metabolic parameters, meta-regression analysis was used. A total number of 33 studies involving 9905 patients with PCOS were included in this analysis. The associations of total testosterone (tT) with metabolic parameters were not significant; after adjustment for age and BMI, we detected associations of this androgen with low-density lipoproteins cholesterol (LDL-C) (β=0.006; 95% CI: 0.002, 0.01), high-density lipoproteins cholesterol (HDL-C) (β=–0.009; 95% CI: –0.02, –0.001), and systolic blood pressure (SBP) (β=–0.01; 95% CI: –0.03, –0.00). We observed a positive significant association between free testosterone (fT) and fasting insulin (β=0.49; 95% CI: 0.05, 0.91); this association remained significant after adjustment for confounders. We also detected a reverse association between fT and HDL-C (β=–0.41; 95% CI: –0.70, –0.12). There was a positive significant association between A4 and TG (β=0.02; 95% CI: 0.00, 0.04) after adjustment for PCOS diagnosis criteria. We also found significant negative associations between A4, TC, and LDL-C. Dehydroepiandrosterone sulfate (DHEAS) had a positive association with LDL-C (β=0.02; 95% CI: 0.001, 0.03) and a reverse significant association with HDL-C (β=–0.03; 95% CI: –0.06, –0.001). This meta-analysis confirmed the associations of some androgenic and metabolic parameters, indicating that measurement of these parameters may be useful for predicting metabolic risk in PCOS patients.

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.

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