Superior metabolic improvement of polycystic ovary syndrome traits after GLP1-based multi-agonist therapy.

Polycystic ovary syndrome (PCOS) is a heterogeneous condition, defined by oligo-/anovulation, hyper-androgenism and/or polycystic ovaries. Metabolic complications are common in patients suffering PCOS, including obesity, insulin resistance and type-2 diabetes, which severely compromise the clinical course of affected women. Yet, therapeutic options remain mostly symptomatic and of limited efficacy for the metabolic and reproductive alterations of PCOS. We report here the hormonal, metabolic and gonadal responses to the glucagon-like peptide-1 (GLP1)-based multi-agonists, GLP1/Estrogen (GLP1/E), GLP1/gastric inhibitory peptide (GLP1/GIP) and GLP1/GIP/Glucagon, in two mouse PCOS models, with variable penetrance of metabolic and reproductive traits, and their comparison with metformin. Our data illustrate the superior efficacy of GLP1/E vs. other multi-agonists and metformin in the management of metabolic complications of PCOS; GLP1/E ameliorates also ovarian cyclicity in an ovulatory model of PCOS, without direct estrogenic uterotrophic effects. In keeping with GLP1-mediated brain targeting, quantitative proteomics reveals changes in common and distinct hypothalamic pathways in response to GLP1/E between the two PCOS models, as basis for differential efficiency. Altogether, our data set the basis for the use of GLP1-based multi-agonists, and particularly GLP1/E, in the personalized management of PCOS.

Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data.

Polycystic Ovarian Disease or Polycystic Ovary Syndrome (PCOS) is becoming increasingly communal among women, owing to poor lifestyle choices. According to the research conducted by National Institutes of Health, it has been observe that PCOS, an endocrine condition common in women of childbearing age, has become a significant contributing factor to infertility. Ovarian abnormalities brought on by PCOS carry a high risk of miscarriage, infertility, cardiac problems, diabetes, uterine cancer, etc. Ovarian cysts, obesity, menstrual irregularities, elevated amounts of male hormones, acne vulgaris, hair loss, and hirsutism are some of the symptoms of PCOS. It is not easy to determine PCOS because of its different combinations of symptoms in different women and various criteria needed for diagnosis. Taking biochemical tests and ovary scanning is a time-consuming process and the financial expenses have become a hardship to the patients. Thus, early prognosis of PCOS is crucial to avoid infertility. The goal of the proposed work is to analyse PCOS symptoms based on clinical data for early diagnosis and to classify into PCOS affected or not. To achieve this objective, clinical features dataset and ultrasound imaging dataset from Kaggle is utilized. Initially 541 instances of 45 clinical features such as testosterone, hirsutism, family history, BMI, fast food, menstrual disorder, risk etc. are considered and correlation-based feature extraction method is applied to this dataset which results in 17 features. The extracted features are applied to various machine learning algorithms such as Logistic Regression, Naïve Bayes and Support Vector Machine. The performance of each method is evaluated based on accuracy, precision, recall, F1-score and the result shows that among three models, Support Vector Machine model achieved high accuracy of 94.44%. In addition to this, 3856 ultrasound images are analysed by CNN based deep learning algorithm and VGG16 transfer learning algorithm. The performance of these models is evaluated using training accuracy, loss and validation accuracy, loss and the result depicts that VGG16 outperforms than CNN model with validation accuracy of 98.29%.

Unraveling the pathogenic interplay between SARS-CoV-2 and polycystic ovary syndrome using bioinformatics and experimental validation.

The prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among polycystic ovary syndrome (PCOS) is significantly higher than in the general population. However, the mechanisms underlying this remain obscure. This study aimed to explore the mechanisms by identifying the genetic signature of SARS-CoV-2 infection in PCOS. In the present study, a total of 27 common differentially expressed genes (DEGs) were selected for subsequent analyses. Functional analyses showed that immunity and hormone-related pathways collectively participated in the development and progression of PCOS and SARS-CoV-2 infection. Under these, 7 significant hub genes were identified, including S100A9, MMP9, TLR2, THBD, ITGB2, ICAM1, and CD86 by using the algorithm in Cytoscape. Furthermore, hub gene expression was confirmed in the validation set, PCOS clinical samples, and mouse model. Immune microenvironment analysis with the CIBERSORTx database demonstrated that the hub genes were significantly correlated with T cells, dendritic cells, mast cells, B cells, NK cells, and eosinophils and positively correlated with immune scores. Among the hub genes, S100A9, MMP9, THBD, ITGB2, CD86, and ICAM1 demonstrated potential as possible diagnostic markers for COVID-19 and PCOS. In addition, we established the interaction networks of ovary-specific genes, transcription factors, miRNAs, drugs, and chemical compounds with hub genes with NetworkAnalyst. This work uncovered the common pathogenesis and genetic signature of PCOS and SARS-CoV-2 infection, which might provide a theoretical basis and innovative ideas for further mechanistic research and drug discovery of the comorbidity of the two diseases.

Efficacy of WeChat-Based Digital Intervention Versus Metformin in Women With Polycystic Ovary Syndrome: Randomized Controlled Trial.

BACKGROUND: The first-line treatment for polycystic ovary syndrome (PCOS) is lifestyle modification. However, it is currently unknown whether digital medicine can assist patients with PCOS in maintaining a healthy lifestyle while alleviating PCOS symptoms. OBJECTIVE: This study aims to evaluate the efficacy of WeChat-based digital intervention versus metformin treatment in women with PCOS and insulin resistance. METHODS: A total of 80 women with PCOS and insulin resistance were recruited from an endocrinology clinic and randomly assigned to receive either a WeChat-based digital intervention (n=40, 50%) or metformin (n=40, 50%) for 12 weeks. The WeChat-based digital intervention consisted of 3 modules; a coach assisted the patients in using the intervention. The primary outcome was the change in a homeostatic model assessment for insulin resistance. At baseline and after the 12-week intervention, anthropometric parameters, menstruation frequency, sex hormone levels, metabolic factors, and body fat distribution were measured in the clinic. Furthermore, self-assessed web-based questionnaires on diet, exercise, sleep, anxiety, and depression were obtained. RESULTS: A total of 72 participants completed the follow-up (for a 90% follow-up rate), including 35 of 40 (88%) participants from the digital intervention group and 37 of 40 (93%) participants from the metformin group. The homeostatic model assessment for insulin resistance in the digital intervention group was significantly improved after 12 weeks of treatment with a mean change of -0.93 (95% CI -1.64 to -0.23), but no statistical difference was observed between the groups (least squares mean difference -0.20; 95% CI -0.98 to 0.58; P=.62). Both digital intervention and metformin treatment significantly improved menstruation frequency (digital intervention: P<.001; metformin: P<.001) and reduced body weight (digital intervention: P<.001; metformin: P<.001) and total fat mass (digital intervention: P<.001; metformin: P<.001). Furthermore, the digital intervention had a significant advantage over metformin in improving waist circumference (least squares mean difference -1.84; 95% CI -3.44 to -0.24; P=.03), waist-to-hip ratio (least squares mean difference -0.02; 95% CI -0.03 to 0.00; P=.03), total fat mass (least squares mean difference -1.59; 95% CI -2.88 to -0.30; P=.02), and dehydroepiandrosterone sulfate (least squares mean difference -69.73; 95% CI -129.70 to -9.75; P=.02). In terms of safety, the main adverse events were sensations of hunger in the digital intervention group (2/40, 5%) and gastrointestinal adverse events in the metformin group (12/40, 30%). CONCLUSIONS: Our data suggest that digital intervention is an effective treatment option for patients with PCOS, with an efficacy comparable to that of metformin, and that it can also alleviate the negative effects of medications and make it easier and more efficient to adhere to lifestyle treatments. WeChat-based digital interventions have the potential to provide a new path for the improvement and health of women with PCOS in China. TRIAL REGISTRATION: ClinicalTrials.gov NCT05386706; https://clinicaltrials.gov/study/NCT05386706.

Disclosing α-lactalbumin impact on the intestinal and vaginal microbiota of women suffering from polycystic ovary syndrome.

Polycystic ovary syndrome (PCOS) is one of the most widespread endocrinopathy affecting women of reproductive age with detrimental effects on life quality and health. Among several mechanisms involved in its aetiopathogenesis, recent studies have also postulated the involvement of the vaginal and intestinal microbiota in the development of this disorder. In this study, an accurate insight into the microbial changes associated with PCOS was performed through a pooled-analysis highlighting that this syndrome is characterized by intestinal and vaginal dysbiosis with a reduction of beneficial microorganisms and a higher proportion of potential pathogens. Based on this observation, we evaluated the ability of a milk-derived protein exerting positive outcomes in the management of PCOS, that is, α-lactalbumin (α-LA), to recover PCOS-related dysbiosis. In vitro experiments revealed that this protein improved the growth performances of members of two health-promoting bacterial genera, that is, Bifidobacterium and Lactobacillus, depleted in both intestinal and vaginal microbiota of PCOS-affected women. In addition, α-LA modulated the taxonomic composition and growth performances of the microbial players of the complex intestinal and vaginal microbiota. Finally, an in vivo pilot study further corroborated these observations. The oral administration of α-LA for 30 days to women with PCOS revealed that this protein may have a role in favouring the growth of health-promoting bacteria yet limiting the proliferation of potential pathogens. Overall, our results could pave the way to the use of α-LA as a valid compound with 'prebiotic effects' to limit/restore the PCOS-related intestinal and vaginal dysbiosis.

Diabetes screening among women with polycystic ovary syndrome: a descriptive study of commercial claims, 2011-2019.

BACKGROUND: Polycystic ovary syndrome (PCOS) is a hormonal disorder that affects 6-12% of United States women of reproductive age. Because women with PCOS are at an increased risk of developing type 2 diabetes, clinical practice guidelines from a number of organizations (e.g. American Diabetes Association, American College of Obstetricians and Gynecologists, US Preventive Services Task Force) recommend that individuals with PCOS are routinely screened for diabetes. Guidelines further indicate that an oral glucose tolerance test (OGTT) should be used for diabetes screening in women with PCOS as opposed to an A1C or fasting plasma glucose test. The purpose of this study is two-fold: 1) to estimate rates of diabetes screening among a nationwide sample of commercially insured women with PCOS and 2) to report the percentage of women screened using each test (OGTT, A1C, fasting plasma glucose) among those who were screened. METHODS: We used the MarketScan Commercial Claims database (2011-2019) to identify a sample of women aged 18-64 years with PCOS who were free from diabetes at baseline and had ≥ 5 years of continuous enrollment in their insurance plan. PCOS was ascertained using International Classification of Disease diagnosis codes (ICD-9: 256.4; ICD-10: E28.2). Diabetes screening was ascertained using Current Procedural Terminology (CPT) codes (A1C: 8303683037; Fasting blood sugar: 82947; OGTT: 82950). Diabetes screening rates were calculated for the overall study sample as well as across subgroups defined by age, overweight/obesity, hypertension, hypercholesterolemia, and vascular disease. RESULTS: In our sample of 191,110 commercially insured women with PCOS, 73.40% were screened at least once for diabetes during a five-year period. Among the women screened, 19.24% were screened using the Androgen Excess Society (AES)-recommended OGTT, 61.58% were screened using A1C, and 23.37% were screened using fasting blood sugar. CONCLUSIONS: In a sample of commercially insured individuals spanning the timeframe 2011-2019, nearly 75% of women with PCOS complied with the ACOG screening guidelines for diabetes. Although OGTT is recommended as the preferred screening tool for women with PCOS it was less commonly used than A1C and fasting blood sugar tests.

[Polycystic ovary syndrome: new and promising treatment methods].

Polycystic Ovary Syndrome (PCOS) - is a polygenic endocrine disorder caused by genetic, hormonal, and epigenetic factors. The importance of addressing PCOS lies in its prevalence, affecting approximately 10 to 13% of women, as well as the associated health conditions that can have a negative impact on women's lives, including infertility, dermatological manifestations of hyperandrogenism (such as hirsutism and acne), cardiovascular pathologies, metabolic disorders, and psychoemotional disorders. Currently, many theories of the development of this disease have been proposed, and as a consequence of methods of influencing and treating it. According to the clinical recommendations of the Ministry of Health of the Russian Federation, modifying the patient's lifestyle forms the basis of comprehensive therapy. We have analyzed about 60 articles on various dietary approaches to the treatment of PCOS, sourced from PubMed, Nature Reviews, Oxford Academic, Clinical Nutrition, EJOG, ScienceDirect, and MDPI. The Mediterranean diet, the DASH diet, the ketogenic diet and the low-carb diet have proven themselves the best. Also, it's necessary to add vitamin D, E, folic acid, calcium, various pro- and prebiotics to a woman's diet. Currently, the use of inositol and GPP-1 is becoming a promising method of PCOS therapy. According to the results of the analysis, a positive effect of diet therapy on the anthropometric and biochemical parameters was noted. Based on the analysis, a positive effect of diet therapy on anthropometric and biochemical parameters has been observed. It is crucial to consider the individual characteristics of each patient and not rely solely on drug therapy when approaching the treatment of PCOS.

Impact of body mass index and polycystic ovary syndrome (PCOS) subtypes on periodontal health in Chinese women with PCOS and periodontitis.

BACKGROUND: This study aimed to investigate the impact of body mass index (BMI) and Polycystic Ovary Syndrome (PCOS) subtypes on periodontal parameters in Chinese women with PCOS and periodontitis. METHOD: We conducted a retrospective case-control study analyzing data from 88 women with PCOS and 82 healthy controls. Participants were categorized by BMI (<24.0 kg/m2and ≥24.0 kg/m2) and PCOS subtypes. We compared periodontal parameters [including probing depth (PD), gingival bleeding index (GBI)] and reproductive hormone-related parameters. RESULTS: Women with PCOS and periodontitis had a significantly higher GBI (2.71 ± 0.53) compared to controls (2.25 ± 0.41, p < 0.0001). Among patients with BMI <24.0 kg/m2, those with PCOS had a younger age [25.00(5.00) vs. 26.00(6.00) years, p < 0.05], lower PD [3.24(0.55) mm vs. 3.43 (0.48) mm, p < 0.01], and higher GBI [2.63(0.76) vs. 2.23(0.55), p < 0.0001]. For BMI ≥24.0 kg/m2, PCOS patients had a higher GBI [2.91(0.36) vs. 2.38(0.59), p < 0.01] but a lower percentage of severe periodontal disease (p < 0.05). CONCLUSION: PCOS could potentially worsen gingival inflammation among women already suffering from periodontitis, and a higher BMI might further intensify this correlation.

Exploring blood pressure dynamics and oxidative stress markers in an animal model of polycystic ovary syndrome.

Background: Polycystic ovary syndrome (PCOS) is a hormonal disorder characterized by elevated androgen levels, heightened insulin secretion, and dysregulation of luteinizing hormone and follicle-stimulating hormone. This disorder results in metabolic disruptions, while the irregular estrous cycles associated with PCOS impact cellular functions like growth, movement, and alterations in cell adhesion within the tissue matrix. Aim: This study aims to identify the blood tension, serum malondialdehyde (MDA) levels, and serum Metalloproteinase-1 (MMP-1) in rat models of PCOS. The study was conducted using female Wistar rats aged 6 months weighing between 130 and 180 g. Methods: The rats were divided into three treatment groups: negative control, induction of testosterone propionate (TP) at a dose of 100 mg/kg BW IP for 12 days, and induction of estradiol valerate (EV) at a dose of 2 mg/kg BW IP for 2 days. Data were analyzed quantitatively using a one-way analysis of variance followed by a Posthoc Test using the least significant difference with a confidence level of 95%. Results: The research results indicate that the average blood pressure of TP Group and EV Group did not differ significantly from the negative control (p > 0.05). Serum MDA levels were significantly different in the TP Group compared to the negative control (p < 0.05). On the other hand, MMP-1 levels showed no significant difference (p > 0.05) among all the treatment groups. Conclusion: The findings of this study suggest that TP induction in a rat model of PCOS can potentially contribute to oxidative stress and lipid peroxidation, but does not significantly affect blood pressure or serum MMP-1 levels.

The discriminatory capability of anthropometric measures in predicting reproductive outcomes in Chinese women with PCOS.

OBJECTIVE: Obesity is a common feature in women with polycystic ovary syndrome (PCOS) and potentially significantly influences reproductive function. However, opinions are divided as to which factor is a more appropriate obesity predictor of reproductive outcomes. The aim of this study was to investigate the discriminatory capability of anthropometric measures in predicting reproductive outcomes in Chinese women with PCOS. METHODS: A total of 998 women with PCOS from PCOSAct were included. Logistic regression models were used to compute the odds ratios (ORs) and 95% confidence interval (95% CIs) to assess the effect of anthropometric measures, including body mass index (BMI), waist circumference (WC), hip circumference (HC), the waist‒hip ratio (WHR) and the waist‒height ratio (WHtR), on reproductive outcomes. The discrimination abilities of the models were assessed and compared based on the area under the receiver operating characteristic curve (AUC), Akaike's information criterion (AIC) and integrated discrimination improvement (IDI). RESULTS: Among PCOS women, there was a graded association between anthropometric measures and predicted reproductive outcomes across quintiles of anthropometric measures, including a linear association among WHR, BMI and reproductive outcomes and among waist circumference, WHtR and live birth, pregnancy, and ovulation. However, only a linear association was noted between the hip and ovulation. C-statistic comparisons and IDI analyses revealed a trend towards a significant superiority of BMI for ovulation and WHR for live birth, pregnancy and conception in the models. Combining obesity variables improved discrimination in the multivariable models for reproductive outcomes. CONCLUSIONS: Our findings support that BMI is a better predictor of ovulation and that the WHR is a better predictor of live birth, pregnancy and conception, whereas the combination of obesity variables contributes to the discrimination of reproduction.

Effects of interleukin-1 receptor antagonism in women with polycystic ovary syndrome-the FertIL trial.

Introduction: Chronic low-grade inflammation might contribute to hyperandrogenemia and metabolic complications in polycystic ovary syndrome (PCOS). The proinflammatory cytokine interleukin (IL)-1 stimulates androgen production from ovarian cells, whereas blockade of the IL-1 pathway improves cardiometabolic health. We aimed to investigate whether blocking the IL-1 pathway ameliorates hyperandrogenemia in patients with PCOS. Methods: This is a prospective, interventional, single-arm, proof-of-concept trial performed at a tertiary hospital in Switzerland (August 2018 to July 2020) in 18 premenopausal women with a diagnosis of PCOS according to the Rotterdam criteria, total testosterone levels ≥ 1.7 nmol/L, and C-reactive protein (CRP) ≥ 1.0 mg/L. Patients received 100 mg/day of the IL-1-receptor antagonist anakinra for 28 days and underwent weekly blood sampling until 1 week after the end of treatment. The primary endpoint was the change in serum androstenedione levels on day 7 of treatment, assessed with liquid chromatography-tandem mass spectrometry. Seven of these women participated in a subsequent observational sub-study (May 2021 to December 2021). Results: Median [interquartile range (IQR)] androstenedione increased by 0.5 [-0.1, 1.6] nmol/L (p = 0.048) with anakinra and by 1.3 [0.08, 2.4] nmol/L [p = 0.38] without anakinra between baseline and day 7. Anakinra reduced CRP levels on days 7, 21, and 28 (p < 0.001) but did not lead to an absolute reduction in androgens. However, four of six patients (67%) had smaller areas under the curves for androstenedione and/or testosterone during the 28-day intervention with anakinra as compared to 28 days without treatment. Discussion: Our findings suggest that anakinra suppresses IL-1-mediated chronic low-grade inflammation in PCOS and might attenuate biochemical hyperandrogenemia.

CTBP1 links metabolic syndrome to polycystic ovary syndrome through interruption of aromatase and SREBP1.

Some patients with polycystic ovarian syndrome (PCOS) suffered from metabolic syndrome (MetS) including dyslipidemia, hyperinsulinism, but the underlying mechanism is unclear. Although C-terminal Binding Protein 1 (CTBP1) is a transcriptional co-repressor frequently involved in hormone secretion disorders and MetS-associated diseases, the role of CTBP1 in PCOS is rarely reported. In the present study, we found that CTBP1 expression was significantly elevated in primary granulosa cells (pGCs) derived from the PCOS with MetS patients and was positively associated with serum triglyceride, but negatively correlated with serum estradiol (E2) or high-density lipoprotein. Mechanistic study suggested that CTBP1 physically bound to the promoter II of cytochrome P450 family 19 subfamily A member 1 (CYP19A1) to inhibit the aromatase gene transcription and expression, resulting in the reduced E2 synthesis. Moreover, CTBP1 interacted with the phosphorylated SREBP1a at S396 in nuclei, leading to the FBXW7-dependent protein degradation, resulting in the reduced lipid droplets formation in pGCs. Therefore, we conclude that CTBP1 in GCs dysregulates the synthesis of steroid hormones and lipids through suppression of aromatase expression and promotion of SREBP1a protein degradation in PCOS patients, which may offer some fresh insights into the potential pathological mechanism for this tough disease.

Polycystic ovary syndrome in obstructive sleep apnea-hypopnea syndrome: an updated meta-analysis.

Background: Obstructive sleep apnea-hypopnea syndrome (OSAHS) is correlated with metabolic deterioration in patients experiencing polycystic ovary syndrome (PCOS). Women diagnosed with PCOS exhibit a heightened prevalence of OSAHS. This meta-analysis aims to assess the morbidity of OSAHS in women affected by PCOS and to examine the differences in metabolism-related indicators between OSAHS-positive and OSAHS-negative in women with PCOS. Methods: A comprehensive literature analysis of OSAHS morbidity in women with PCOS was conducted, utilizing databases such as CNKI, EMBASE, PubMed, Web of Science, and Wanfang. A comparison was carried out between patients with OSAHS-positive and those with OSAHS-negative in terms of their clinical characteristics and metabolic differences. The search language included English and Chinese. The acquired data were analyzed by employing RevMan 5.2 and Stata 11.0. Continuous variables with the same units were combined and analyzed through weighted mean differences (WMDs) as effect sizes, while continuous variables with different units were combined and analyzed through standardized mean differences (SMDs) as effect sizes. A conjoint analysis was performed on the basis of I2 value, using either a fixed effect model (I2 ≤ 50%) or a random effect model (I2 > 50%). Results: A total of 21 articles met the inclusion criteria for this study. The findings indicated that 20.8% of women with PCOS were found to have comorbid OSAHS. The subjects were categorized into various subgroups for meta-analysis on the basis of race, age, disease severity, body mass index (BMI), and diagnostic criteria of PCOS. The results revealed high morbidity of OSAHS in all subgroups. In addition, most metabolic indicators and parameters of metabolic syndrome were notably worse in women suffering from both PCOS and OSAHS in comparison to their counterparts solely diagnosed with PCOS. Conclusion: The current literature indicates higher morbidity of OSAHS among women with PCOS, linking OSAHS with worse metabolic status and obesity in this population. Consequently, clinicians are advised to prioritize the detection and management of OSAHS in women with PCOS. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/#myprospero PROSPERO, identifier (CRD42024528264).

Research status of polycystic ovary syndrome treatment: a mini review and a bibliometric analysis from 2010 to 2023.

BACKGROUND: Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder in premenopausal women, often linked to abdominal obesity, insulin resistance, and metabolic issues. With its heterogeneous nature, PCOS treatment should be tailored to individual symptoms and patient preferences. This study examines collaboration networks among countries, institutions, authors, references, and journals related to PCOS treatment. METHODS: Web of Science data was analyzed using VOSviewer and CiteSpace for bibliometric visualization. Chinese and Western medicine treatments for PCOS were reviewed, emphasizing symptom-targeted solutions. RESULTS: Data from 4682 records authored by 400 individuals from 515 institutes in 62 countries revealed China as the leading contributor. Notable authors include Monash University and Richard S. Legro. Common research themes include adipocytes, inflammation, insulin sensitivity, oxidative stress, and the gut microbiome. Tailoring treatment to individual needs is essential, focusing on hyperandrogenism, ovulation, and insulin resistance, with lifestyle counseling to address obesity. CONCLUSION: This bibliometric analysis provides valuable insights into the research status of PCOS treatment. China has made significant contributions, and complementary and alternative therapies, such as traditional Chinese medicine and acupuncture, have also shown beneficial effects recently. The research on inflammation, oxidative stress, and the gut microbiome may provide new targets and strategies for the treatment of PCOS. The recognition of the metabolic problems in PCOS patients facilitates the formulation of more personalized treatment plans to improve the prognosis of patients.

Is combined letrozole and clomiphene superior to either as monotherapy: a systemic review and meta-analysis based on clinical trials.

OBJECTIVE: This research was conducted to assess the therapeutic advantage of combined letrozole and clomiphene citrate versus monotherapy for polycystic ovarian syndrome (PCOS) patients. STUDY DESIGN: Five databases were searched using the search string: (letrozole and clomiphene) AND (clomiphene OR clomiphene citrate OR CC) AND (letrozole OR LE) AND (ovulation induc* OR fertility induc* OR fertility preserv*) AND (polycystic ovarian syndrome OR PCOS). All statistical analyses were conducted in Review Manager 5.4.1. Random effect-effect model was used to pool risk ratio (RR), mean difference (MD), and odds ratio (OR) and their corresponding 95% confidence interval (CI). Moreover, qualitative analysis was conducted to qualitatively analyze ovulation, secondary outcomes, and cycle characteristics. RESULTS: One clinical trial and three randomized clinical trials (RCTs) were used in the study. Two studies were used in a quantitative analysis showing that combination was superior for ovulation induction (RR = 1.86 [1.37, 2.53]; p < 0.0001; I2 = 0%), but the number of follicles ≥15 mm was significantly associated with the combination (MD = 0.40[0.14, 0.66]; p = 0.002; I2 = 0%). On subgroup analysis, only hot flushes were significantly associated with the combination (RR = 2.67[1.12, 6.36]; p = 0.03; I2 = 0%). The meta-analysis of two studies reported a significantly higher ovulation rate and number of dominant follicles in the combination therapy group compared with the LE alone arm but no significant difference in pregnancy rate, endometrial thickness, and adverse events. CONCLUSION: Our study demonstrates a significant effect of the combination on ovulation induction. The combination yielded a better chance of conception and viable pregnancy. Further studies are needed to determine the live birth rate. HighlightsCombined Letrozole and Clomiphene is superior to either of these drugs alone for ovulation induction in PCOS.Our results conclude that the combination results in better ovulation, cycle characteristics, and secondary changes.Only the incidence of hot flushes as an adverse effect is increasingly reported in combination.

Piperine's potential in treating polycystic ovarian syndrome explored through in-silico docking.

Polycystic Ovarian Syndrome (PCOS) is a multifaceted metabolic and hormonal condition that impacts women in their procreative ages, identified by ovarian dysfunction, hyperandrogenaemia overweight and insulin insensitivity. The piperine, an important alkaloid compound of black pepper has shown promise in modulating various physiological processes. In this work, employed computational docking studies to explore the potential of piperine as a treatment for PCOS. Utilizing computational methods, we analyzed the binding interactions between piperine and key molecular targets implicated in PCOS pathogenesis, including hyperandrogenism, and "oligomenorrhea. The network pharmacology analysis report found 988 PCOS-related genes, 108 hyperandrogenism-related genes, and 377 oligomenorrhea-related genes, and we finally shortlisted 5 common genes in PCOS, hyperandrogenism, and "oligomenorrhea": NR3C1, PPARG, FOS, CYP17A1, and H6PD. Our results reveal favorable binding affinities with PPARG (-8.34 Kcal/mol) and H6PD (-8.70 Kcal/mol) and interaction patterns, suggesting the potential of piperine to modulate these targets. Moreover, the reliability of the piperine-target interactions was revealed by molecular simulations studies. These findings support further experimental investigations to validate the therapeutic efficacy of piperine in PCOS management. The integration of computational approaches with experimental studies has the potential to lay the groundwork for the creation of new therapies specifically targeting PCOS and related endocrine disorders.

Role of Omega-3 Fatty Acids in Improving Metabolic Dysfunctions in Polycystic Ovary Syndrome.

Polycystic ovary syndrome (PCOS) is a common endocrine disorder that impacts women of reproductive age. In addition to reproductive and psychological complications, women with PCOS are also at a higher risk of developing metabolic diseases such as obesity, type 2 diabetes and cardiovascular disease. While weight reduction can help manage these complications in overweight or obese women, many weight loss interventions have been ineffective due to weight stigma and its psychological impact on women with PCOS. Therefore, exploring alternative dietary strategies which do not focus on weight loss per se is of importance. In this regard, omega-3 polyunsaturated fatty acids of marine origin (n-3 PUFAs), which are known for their hypotriglyceridemic, cardioprotective and anti-inflammatory effects, have emerged as a potential therapy for prevention and reversal of metabolic complications in PCOS. Several clinical trials showed that n-3 PUFAs can improve components of metabolic syndrome in women with PCOS. In this review, we first summarize the available clinical evidence for different dietary patterns in improving PCOS complications. Next, we summarize the clinical evidence for n-3 PUFAs for alleviating metabolic complications in PCOS. Finally, we explore the mechanisms by which n-3 PUFAs improve the metabolic disorders in PCOS in depth.

The effects of different exercises on weight loss and hormonal changes in women with polycystic ovarian syndrome: a network meta-analysis study.

BACKGROUND: Polycystic ovarian syndrome (PCOS) is one of the most common endocrine illnesses. There is evidence that exercise training positively affects on improvement of the pathogenic factors in women with PCOS. On the other hand, some studies reported similar effects of aerobic and resistance exercises or no effect of exercises on the improvement of the pathogenic factors. The aim of the current study was to perform a network meta-analysis of RCTs to evaluate the efficacy of exercises on body mass index (BMI), hormone concentrations, and regular menstruation in women with PCOS. METHODS: The search was performed from databases of PubMed, Scopus, and Web of Science with the keywords of exercise, resistance exercise, aerobic exercise, endurance exercise, yoga, polycystic ovary syndrome, randomized controlled trial based on the CONSORT, BMI, sex hormone and regular menstruation from inception until April 15, 2022. Bayesian random-effects network meta-analyses were performed to calculate mean difference and 95% credible intervals. RESULTS: Out of 1140 studies, 19 were eligible for inclusion. The results showed that moderate-intensity aerobic exercise effectively reduces BMI compared to no intervention and Yoga. No other forms of exercise led to weight loss. Additionally, exercise had no impact on sex hormones and regular menstruation. It was concluded that moderate-intensity aerobic exercise is the most effective for reducing BMI in women with PCOS. CONCLUSIONS: Due to the limitations regarding the small sample size and lack of subgroup and sensitivity analysis, the results of this study demonstrated that moderate-intensity, aerobic exercise is the most effective exercise for reducing BMI, while the other exercises were ineffective. Moderate-intensity aerobic exercise is suggested to decrease the BMI in women with PCOS. SYSTEMATIC REVIEW REGISTRATION: This systematic review and network meta-analysis study was registered in PROSPERO (CRD42022324839).

Exploring Genetic Interactions in Colombian Women with Polycystic Ovarian Syndrome: A Study on SNP-SNP Associations.

Polycystic ovary syndrome (PCOS) is an endocrine and metabolic disorder with high prevalence in women around the world. The identification of single-nucleotide polymorphisms (SNPs) through genome-wide association studies has classified it as a polygenic disease. Most studies have independently evaluated the contribution of each SNP to the risk of PCOS. Few studies have assessed the effect of epistasis among the identified SNPs. Therefore, this exploratory study aimed to evaluate the interaction of 27 SNPs identified as risk candidates and their contribution to the pathogenesis of PCOS. The study population included 49 control women and 49 women with PCOS with a normal BMI. Genotyping was carried out through the MassARRAY iPLEX single-nucleotide polymorphism typing platform. Using the multifactor dimensionality reduction (MDR) method, the interaction between SNPs was evaluated. The analysis showed that the best interaction model (p < 0.0001) was composed of three loci (rs11692782-FSHR, rs2268361-FSHR, and rs4784165-TOX3). Furthermore, a tendency towards synergy was evident between rs2268361 and the SNPs rs7371084-rs11692782-rs4784165, as well as a redundancy in rs7371084-rs11692782-rs4784165. This pilot study suggests that epistasis may influence PCOS pathophysiology. Large-scale analysis is needed to deepen our understanding of its impact on this complex syndrome affecting thousands of women.

The Role of 11-Oxygenated Androgens and Endocrine Disruptors in Androgen Excess Disorders in Women.

Polycystic ovary syndrome (PCOS) and idiopathic hirsutism (IH) are androgen excess disorders requiring the determination of classic androgen levels for diagnosis. 11-oxygenated androgens have high androgenic potential, yet their clinical value in those disorders is not clear. Additionally, the role of endocrine disruptors (EDs), particularly in IH, remains understudied. We analyzed 25 steroids and 18 EDs in plasma samples from women with IH, PCOS, and controls using LC-MS/MS. Cytokine levels and metabolic parameters were assessed. Comparisons included non-obese women with PCOS (n = 10), women with IH (n = 12) and controls (n = 20), and non-obese versus obese women with PCOS (n = 9). Higher levels of 11-oxygenated androgens were observed in women with PCOS compared to those with IH, but not controls. Conversely, 11-oxygenated androgen levels were lower in women with IH compared to controls. Cytokine levels did not differ between women with IH and controls. Bisphenol A (BPA) levels were higher in obese women with PCOS compared to non-obese women with PCOS. Bisphenol S occurrence was higher in women with PCOS (90%) compared to controls (65%) and IH (50%). Significant correlations were found between androgens (11-ketotestosterone, androstenedione, testosterone) and insulin and HOMA-IR, as well as between immunomodulatory 7-oxygenated metabolites of DHEA and nine interleukins. Our data confirms that PCOS is a multiendocrine gland disorder. Higher BPA levels in obese women might exacerbate metabolic abnormalities. IH was not confirmed as an inflammatory state, and no differences in BPA levels suggest BPA does not play a role in IH pathogenesis.