Metformin - a new approach.

Metformin is a widely used biguanide drug recommended as a first-line antidiabetic for type 2 diabetes. Currently, metformin is used not only in the treatment of diabetes but also in other diseases. Some studies have shown that metformin causes weight loss in insulin-sensitive and insulin-resistant overweight and obese patients. Metformin is an effective and safe option for women with gestational diabetes and type 2 diabetes in pregnancy, and it may also increase the ovulation rate in patients with polycystic ovary syndrome (PCOS). Longer survival times have been observed in cancer patients using metformin. Metformin has been shown to significantly correlate with lower mortality in obese or type 2 diabetic women hospitalized for COVID-19. It also has a protective effect on the development and progression of many types of cancer. The mechanisms of action of metformin are complex and still not fully understood. Metformin has been shown to act through both AMP-activated protein kinase (AMPK)-dependent mechanisms and AMPK-independent mechanisms. This paper presents the benefits of using metformin in the treatment of various diseases.

Prevalence of Polycystic Ovary Syndrome amongst Females Aged between 15 and 45 Years at a Major Women's Hospital in Dubai, United Arab Emirates.

Objective criteria have been scarce in published data on the occurrence of polycystic ovary syndrome (PCOS) in the United Arab Emirates (UAE). It is crucial that we enhance our comprehension of PCOS prevalence in the UAE to inform key stakeholders about the disease's burden and enable comparisons with other nations. This research aimed to examine the PCOS prevalence at a large academic tertiary centre in Dubai, UAE, called Latifa Women and Children's Hospital. We performed a cross-sectional study by reviewing the electronic medical records of patients accessing care between 2017 and 2022 (5 years). By utilizing the international classification of diseases codes (ICD-10), we discovered a period prevalence of PCOS of 1.6% among 64,722 women aged between 15 and 45 years. It is worth noting that the estimated annual point prevalence rose from 1.19% in 2020 (at the beginning of the COVID19 pandemic) to 2.72% in 2022 (after the start of the COVID-19 pandemic). Therefore, the odds ratio of the risk of a PCOS diagnosis in 2022 compared to 2020 was 2.28. The majority of the women diagnosed with PCOS in this study had an ICD-10 code of E28.2. Women with PCOS were younger than the controls, less likely to be pregnant, and had a higher body mass index and systolic and diastolic blood pressure. This is the most extensive research to date examining PCOS prevalence in the UAE, and it emphasizes the significance of this condition. It is crucial to prioritize PCOS to prevent morbidity and mortality from reproductive and long-term health consequences, including infertility, type 2 diabetes and endometrial cancer, which is presently the most frequent gynecological cancer in the UAE.

Effect of 12-week of aerobic exercise on hormones and lipid profile status in adolescent girls with polycystic ovary syndrome: A study during COVID-19.

Background and aim: COVID-19 as a viral disease has brought up the need to exercise more than before due to its physiological effects on health. Therefore, this study investigates the effect of 12-week of aerobic exercise on female students' hormone levels and lipid profile with polycystic ovary syndrome (PCOS) during the COVID-19 pandemic. Method: Using a 12-week quasi-experimental with pretest, posttest research design among 40 Iranian female students aged 18-14 with PCOS, we randomly allocated the participants to either an experimental (they performed aerobic exercises three 60-minute sessions per week at home using content production) or a control condition. Their anthropometric and blood samples (e.g., testosterone, estrogen, prolactin, and lipid profile) were taken in two stages before and after the training protocol. Results: The results of analysis indicated that 12-week of aerobic exercise reduced testosterone (P = 0.041), prolactin (P = 0.001), estrogen (P = 0.001), body mass (P = 0.002), body mass index (P = 0.002), cholesterol (P = 0.005), triglyceride (P = 0.001) and low-density lipoprotein (P = 0.001), whilst increased high-density lipoprotein (P = 0.002). Conclusion: Findings demonstrated that performing aerobic exercises is an effective and non-invasive method that could have a positive effect on young girls' PCOS during COVID-19 pandemic.

Contexte et objectif: La pandémie de COVID-19, en tant que maladie virale, a fait ressortir la nécessité de faire de l'exercice plus que jamais en raison de ses effets physiologiques sur la santé. Par conséquent, cette étude examine l'effet de 12 semaines d'exercice aérobique sur les niveaux hormonaux et le profil lipidique d'étudiantes atteintes du syndrome d'ovaires polykystiques (SOPK) pendant la pandémie de COVID-19. Méthode: En utilisant un modèle de recherche quasi-expérimental de 12 semaines avec pré-test, post-test auprès de 40 étudiantes iraniennes âgées de 18 à 14 ans atteintes du SOPK, nous avons réparti au hasard les participantes entre une série expérimentale (elles ont effectué des exercices aérobiques à raison de trois séances de 60 minutes par semaine à la maison) et une série contrôle. Les échantillons anthropométriques et sanguins (testostérone, œstrogène, prolactine et profil lipidique) ont été prélevés en deux étapes, avant et après le protocole d'entraînement. Résultats: Les résultats de l'analyse indiquent que 12 semaines d'exercice aérobique ont réduit la testostérone (p = 0,041), la prolactine (p = 0,001), l'œstrogène (p = 0,001), la masse corporelle (p = 0,002), l'indice de masse corporelle (p = 0,002), le cholestérol (p = 0,005), les triglycérides (p = 0,001) et les lipoprotéines de basse densité (p = 0,001), tout en augmentant les lipoprotéines de haute densité (p = 0,002). Conclusion: Les résultats ont démontré que la pratique d'exercices d'aérobic est une méthode efficace et non invasive qui pourrait avoir un effet positif sur le SOPK des jeunes filles pendant la pandémie de COVID-19.

Polycystic Ovary Syndrome and COVID-19.

Polycystic ovary syndrome (PCOS) is generally characterized by hyperandrogenism, obesity, chronic low-grade inflammation, abnormalities in carbohydrate and lipid metabolism, vit. D deficiency and gut microbiota dysbiosis. Each of the aforementioned disturbances might be considered as a risk factor for increased SARS-CoV-2 susceptibility and more severe COVID-19 infection in women with PCOS. Hyperandrogenism is thought to play an essential role for determining the grade of susceptibility as well as the risk of severe COVID-19 infection in PCOS. It could be explained by the expression of a specific cellular co-receptor - transmembrane serine protease-2 (TMPRSS2), the process of androgen-dependent immune modulation and that of the stimulated renin-angiotensin system (RAS). Android obesity, commonly seen in PCOS, represents a condition of chronic low-grade inflammation that leads to the development of immune dysfunction and increased sensitivity to SARS-CoV-2 among the carriers of this syndrome. In addition, vit. D deficiency and gut dysbiosis have been described as other potential pathophysiological factors contributing to an increased risk for severe COVID-19 in women with PCOS.Copyright © 2022 Medical Information Center. All rights reserved.

A Review of Special Considerations on Insulin Resistance Induced Hyperandrogenemia in Women with Polycystic Ovary Syndrome: A Prominent COVID-19 Risk Factor.

Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) infecting mechanism depends on hosting angiotensin-converting enzyme 2 (ACE2) and transmembrane protease serine 2 (TMPRSS2) as essential components and androgens as regulators for inducing the expression of these components. Therefore, hyperandrogenism-related disease such as polycystic ovary syndrome (PCOS) in insulin resistant women in reproductive-age is a high-risk factor for SARS-CoV-2 infection. Here, we describe the signaling pathways that might increase the susceptibility and severity of this new pandemic in PCOS women with insulin resistance (IR). Luteinizing hormone and insulin increase the risk of SARS-CoV-2 infection in these patients via the induction of steroidogenic enzymes expression through cAMP-response element binding protein and Forkhead box protein O1 (FOXO1), respectively. TMPRSS2 expression is activated through phosphorylation of FOXO1 in ovaries. In other words, SARS-CoV-2 infection is associated with temporary IR by affecting ACE2 and disturbing ß-pancreatic function. Therefore, PCOS, IR, and SARS-CoV-2 infection are three corners of the triangle that have complicated relations, and their association might increase the risk of SARS-CoV-2 infection and severity.

Polycystic Ovary Syndrome and COVID-19.

Polycystic ovary syndrome (PCOS) is generally characterized by hyperandrogenism, obesity, chronic low-grade inflammation, abnormalities in carbohydrate and lipid metabolism, vit. D deficiency and gut microbiota dysbiosis. Each of the aforementioned disturbances might be considered as a risk factor for increased SARS-CoV-2 susceptibility and more severe COVID-19 infection in women with PCOS. Hyperandrogenism is thought to play an essential role for determining the grade of susceptibility as well as the risk of severe COVID-19 infection in PCOS. It could be explained by the expression of a specific cellular co-receptor - transmembrane serine protease-2 (TMPRSS2), the process of androgen-dependent immune modulation and that of the stimulated renin-angiotensin system (RAS). Android obesity, commonly seen in PCOS, represents a condition of chronic low-grade inflammation that leads to the development of immune dysfunction and increased sensitivity to SARS-CoV-2 among the carriers of this syndrome. In addition, vit. D deficiency and gut dysbiosis have been described as other potential pathophysiological factors contributing to an increased risk for severe COVID-19 in women with PCOS.Copyright © 2022 Medical Information Center. All rights reserved.

Polycystic Ovary Syndrome and COVID-19.

Polycystic ovary syndrome (PCOS) is generally characterized by hyperandrogenism, obesity, chronic low-grade inflammation, abnormalities in carbohydrate and lipid metabolism, vit. D deficiency and gut microbiota dysbiosis. Each of the aforementioned disturbances might be considered as a risk factor for increased SARS-CoV-2 susceptibility and more severe COVID-19 infection in women with PCOS. Hyperandrogenism is thought to play an essential role for determining the grade of susceptibility as well as the risk of severe COVID-19 infection in PCOS. It could be explained by the expression of a specific cellular co-receptor - transmembrane serine protease-2 (TMPRSS2), the process of androgen-dependent immune modulation and that of the stimulated renin-angiotensin system (RAS). Android obesity, commonly seen in PCOS, represents a condition of chronic low-grade inflammation that leads to the development of immune dysfunction and increased sensitivity to SARS-CoV-2 among the carriers of this syndrome. In addition, vit. D deficiency and gut dysbiosis have been described as other potential pathophysiological factors contributing to an increased risk for severe COVID-19 in women with PCOS.Copyright © 2022 Medical Information Center. All rights reserved.

Addressing Challenges During Community based Screening of Women for Polycystic Ovary Syndrome (PCOS): A Research Experience from Maharashtra, India before and During COVID Pandemic.

Introduction: A multicentric community-based screening to determine prevalence of Polycystic Ovary Syndrome was undertaken in India. This article aims to describe the challenges faced at one site and strategies adopted to mitigate them. Material and Methods: Eligible women were enrolled at household-level and investigated for Polycystic Ovary Syndrome diagnosis as per Rotterdam criteria. Challenges faced were documented and alternate strategies were adopted. Results: Challenges ranged from identifying women as per the polling booth list, enrolling them, and getting them investigated. COVID-19 pandemic added to the challenges. Involving health system workforce, gaining community support, flexible timings, and alternate strategies for investigation including COVID-19 appropriate safety measures helped mitigate some of the challenges. Conclusion: Unforeseen challenges may crop up in community-based studies, like the ones faced during the COVID-19 pandemic. Planning, strategizing, using technology to keep communications on, and finding out of the box and amicable solutions for bottlenecks may help mitigate challenges.

Magnitude and associated factors of menstrual irregularity among young girls: A cross-sectional study during COVID-19 second wave in India.

Background: Several symptoms are typically experienced after a coronavirus disease 2019 (COVID-19) infection. Worldwide, a lot of women are reporting irregularities in their menstrual cycles post-COVID-19 infection. The purpose of this study is to investigate the prevalence of menstrual pattern among young girls during the second wave of COVID-19 pandemic and to determine the risk factors related to lifestyle among young girls. Methods: A cross-sectional study was conducted using a self-designed questionnaire encompassing details of the menstrual pattern, features of hyperandrogenism, lifestyle, and comorbidity among young girls aged 16-24 years. Results: The data from 508 girls fulfilling the inclusion criteria were analyzed. The prevalence of irregular menstrual cycle was found to be 29.1%. Further analysis revealed that a significant percentage of girls with irregular menstrual cycle suffer from depression (14.9%) and are often staying stressed (40.5%) in comparison to the girls having regular menstrual cycle. Also, a total of 58 girls out of 508 were diagnosed with polycystic ovary syndrome (PCOS). Among various comorbid conditions, obesity was found in 60% of girls having PCOS followed by an eating disorder. Conclusions: A significant increase in irregular menstrual cycle in young girls was found during the second wave of COVID-19. The risk factors for causing the irregular menstrual cycle were found to be insomnia, stress, and depression.

Risk of severe acute respiratory syndrome coronavirus 2 infection among women with polycystic ovary syndrome.

OBJECTIVE: To determine whether women with polycystic ovary syndrome (PCOS) had a higher incidence of testing positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) than those without PCOS and evaluate whether PCOS diagnosis independently increased the risk of moderate or severe disease in those with positive SARS-CoV-2 test results. DESIGN: Retrospective cohort study using the National COVID Cohort Collaborative (N3C). SETTING: National COVID Cohort Collaborative. PATIENT(S): Adult nonpregnant women (age, 18-65 years) enrolled in the N3C with confirmed SARS-CoV-2 testing for any indication. Sensitivity analyses were conducted in women aged 18-49 years and who were obese (body mass index, ≥30 kg/m2). INTERVENTION(S): The exposure was PCOS as identified by the N3C clinical diagnosis codes and concept sets, which are a compilation of terms, laboratory values, and International Classification of Diseases codes for the diagnosis of PCOS. To further capture patients with the symptoms of PCOS, we also included those who had concept sets for both hirsutism and irregular menses. MAIN OUTCOME MEASURE(S): Odds of testing positive for SARS-CoV-2 and odds of moderate or severe coronavirus disease 2019 (COVID-19) in the PCOS cohort compared with those in the non-PCOS cohort. RESULT(S): Of the 2,089,913 women included in our study, 39,459 had PCOS. In the overall cohort, the adjusted odds ratio (aOR) of SARS-CoV-2 positivity was 0.98 (95% confidence interval [CI], 0.97-0.98) in women with PCOS compared to women without PCOS. The aORs of disease severity were as follows: mild disease, 1.02 (95% CI, 1.01-1.03); moderate disease, 0.99 (95% CI, 0.98-1.00); and severe disease, 0.99 (95% CI, 0.99-1.00). There was no difference in COVID-19-related mortality (aOR, 1.00; 95% CI, 0.99-1.00). These findings were similar in the reproductive-age and obese reproductive-age cohorts. CONCLUSION(S): Women with PCOS had a similar likelihood of testing positive for SARS-CoV-2. Among those who tested positive, they were no more likely to have moderate or severe COVID-19 than the non-PCOS cohort. Polycystic ovary syndrome is a chronic condition associated with several comorbidities, including cardiovascular disease and mental health issues. Although these comorbidities are also associated with COVID-19 morbidity, our findings suggest that the comorbidities themselves, rather than PCOS, drive the risk of disease severity.

The Implication of Mechanistic Approaches and the Role of the Microbiome in Polycystic Ovary Syndrome (PCOS): A Review.

As a complex endocrine and metabolic condition, polycystic ovarian syndrome (PCOS) affects women's reproductive health. These common symptoms include hirsutism, hyperandrogenism, ovulatory dysfunction, irregular menstruation, and infertility. No one knows what causes it or how to stop it yet. Alterations in gut microbiota composition and disruptions in secondary bile acid production appear to play a causative role in developing PCOS. PCOS pathophysiology and phenotypes are tightly related to both enteric and vaginal bacteria. Patients with PCOS exhibit changed microbiome compositions and decreased microbial diversity. Intestinal microorganisms also alter PCOS patient phenotypes by upregulating or downregulating hormone release, gut-brain mediators, and metabolite synthesis. The human body's gut microbiota, also known as the "second genome," can interact with the environment to improve metabolic and immunological function. Inflammation is connected to PCOS and may be caused by dysbiosis in the gut microbiome. This review sheds light on the recently discovered connections between gut microbiota and insulin resistance (IR) and the potential mechanisms of PCOS. This study also describes metabolomic studies to obtain a clear view of PCOS and ways to tackle it.

An observational multi-centric COVID-19 sequelae study among health care workers.

Background: India has seen more than 43 million confirmed cases of COVID-19 as of April 2022, with a recovery rate of 98.8%, resulting in a large section of the population including the healthcare workers (HCWs), susceptible to develop post COVID sequelae. This study was carried out to assess the nature and prevalence of medical sequelae following COVID-19 infection, and risk factors, if any. Methods: This was an observational, multicenter cross-sectional study conducted at eight tertiary care centers. The consenting participants were HCWs between 12 and 52 weeks post discharge after COVID-19 infection. Data on demographics, medical history, clinical features of COVID-19 and various symptoms of COVID sequelae was collected through specific questionnaire. Finding: Mean age of the 679 eligible participants was 31.49 ± 9.54 years. The overall prevalence of COVID sequelae was 30.34%, with fatigue (11.5%) being the most common followed by insomnia (8.5%), difficulty in breathing during activity (6%) and pain in joints (5%). The odds of having any sequelae were significantly higher among participants who had moderate to severe COVID-19 (OR 6.51; 95% CI 3.46-12.23) and lower among males (OR 0.55; 95% CI 0.39-0.76). Besides these, other predictors for having sequelae were age (≥45 years), presence of any comorbidity (especially hypertension and asthma), category of HCW (non-doctors vs doctors) and hospitalisation due to COVID-19. Interpretation: Approximately one-third of the participants experienced COVID sequelae. Severity of COVID illness, female gender, advanced age, co-morbidity were significant risk factors for COVID sequelae. Funding: This work is a part of Indian Council for Medical Research (ICMR)- Rational Use of Medicines network. No additional financial support was received from ICMR to carry out the work, for study materials, medical writing, and APC.

Ovarian granulosa cells from women with PCOS express low levels of SARS-CoV-2 receptors and co-factors.

PURPOSE: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is global pandemic with more than 5 million deaths so far. Female reproductive tract organs express coronavirus-associated receptors and factors (SCARFs), suggesting they may be susceptible to SARS-CoV-2 infection; however, the susceptibility of ovary/follicle/oocyte to the same is still elusive. Co-morbidities like obesity, type-2 diabetes mellitus, cardiovascular disease, etc. increase the risk of SARS-CoV-2 infection. These features are common in women with polycystic ovary syndrome (PCOS), warranting further scope to study SCARFs expression in ovary of these women. MATERIALS AND METHODS: SCARFs expression in ovary and ovarian tissues of women with PCOS and healthy women was explored by analyzing publically available microarray datasets. Transcript expressions of SCARFs were investigated in mural and cumulus granulosa cells (MGCs and CGCs) from control and PCOS women undergoing in vitro fertilization (IVF). RESULTS: Microarray data revealed that ovary expresses all genes necessary for SARS-CoV-2 infection. PCOS women mostly showed down-regulated/unchanged levels of SCARFs. MGCs and CGCs from PCOS women showed lower expression of receptors ACE2, BSG and DPP4 and protease CTSB than in controls. MGCs showed lower expression of protease CTSL in PCOS than in controls. Expression of TMPRSS2 was not detected in both cell types. CONCLUSION: Human ovarian follicle may be susceptible to SARS-CoV-2 infection. Lower expression of SCARFs in PCOS indicates that the risk of SARS-CoV-2 infection to the ovary may be lesser in these women than controls. This knowledge may help in safe practices at IVF settings in the current pandemic.

Preliminary Results for Personalized Therapy in Pregnant Women with Polycystic Ovary Syndrome During the COVID-19 Pandemic.

Increased androgen level, hyperinsulinemia, diabetes, impaired fibrinolysis, obesity, hypertension, chronic inflammation, abnormal immune response to infections and hyperhomocysteinemia are the most common abnormalities related to polycystic ovary syndrome (PCOS) women and are the factors predisposing to the severe course of COVID-19. The SARS-Cov-2 infection during pregnancy is associated with an increased risk of complications (spontaneous abortion), similar to those in PCOS. The treatment of PCOS pregnant women with a history of fertility failures raises many doubts, especially during the COVID pandemic. However, due to the increasing incidence of infections among reproductive people and the potentially more serious course in pregnant women, numerous questions about the safety and effectiveness of the treatment are still very current. In our study we presented a series of cases of recurrent miscarriages or recurrent implantation failure PCOS pregnant women with confirmed COVID-19. The diagnosis of infertility confirmed the presence of plasminogen activator inhibitor type 1 and/or 5,10-methylenetetrahydrofolate reductase polymorphisms in each of them. Moreover, some of the women presented immune dysfunction associated with infertility. We have described the personalized treatments of each pregnant patient included: metformin, enoxaparin and tacrolimus. The treatment applied had the expected effect, supporting the implantation processes. Furthermore, despite the ambiguous data according to immunological therapy of infertile women during the COVID pandemic, we observed a mild or asymptomatic COVID-19 course and we noticed no pregnancy complications.

Machine-Aided Self-diagnostic Prediction Models for Polycystic Ovary Syndrome: Observational Study.

BACKGROUND: Artificial intelligence and digital health care have substantially advanced to improve and enhance medical diagnosis and treatment during the prolonged period of the COVID-19 global pandemic. In this study, we discuss the development of prediction models for the self-diagnosis of polycystic ovary syndrome (PCOS) using machine learning techniques. OBJECTIVE: We aim to develop self-diagnostic prediction models for PCOS in potential patients and clinical providers. For potential patients, the prediction is based only on noninvasive measures such as anthropomorphic measures, symptoms, age, and other lifestyle factors so that the proposed prediction tool can be conveniently used without any laboratory or ultrasound test results. For clinical providers who can access patients' medical test results, prediction models using all predictor variables can be adopted to help health providers diagnose patients with PCOS. We compare both prediction models using various error metrics. We call the former model the patient model and the latter, the provider model throughout this paper. METHODS: In this retrospective study, a publicly available data set of 541 women's health information collected from 10 different hospitals in Kerala, India, including PCOS status, was acquired and used for analysis. We adopted the CatBoost method for classification, K-fold cross-validation for estimating the performance of models, and SHAP (Shapley Additive Explanations) values to explain the importance of each variable. In our subgroup study, we used k-means clustering and Principal Component Analysis to split the data set into 2 distinct BMI subgroups and compared the prediction results as well as the feature importance between the 2 subgroups. RESULTS: We achieved 81% to 82.5% prediction accuracy of PCOS status without any invasive measures in the patient models and achieved 87.5% to 90.1% prediction accuracy using both noninvasive and invasive predictor variables in the provider models. Among noninvasive measures, variables including acanthosis nigricans, acne, hirsutism, irregular menstrual cycle, length of menstrual cycle, weight gain, fast food consumption, and age were more important in the models. In medical test results, the numbers of follicles in the right and left ovaries and anti-Müllerian hormone were ranked highly in feature importance. We also reported more detailed results in a subgroup study. CONCLUSIONS: The proposed prediction models are ultimately expected to serve as a convenient digital platform with which users can acquire pre- or self-diagnosis and counsel for the risk of PCOS, with or without obtaining medical test results. It will enable women to conveniently access the platform at home without delay before they seek further medical care. Clinical providers can also use the proposed prediction tool to help diagnose PCOS in women.

Impact of social isolation during COVID-19 pandemic on health behaviors and weight management in women with polycystic ovary syndrome.

PURPOSE: COVID-19 pandemic has far-reaching psychosocial implications for chronic health conditions. We aimed to investigate whether COVID-19 associated social isolation affects lifestyle and weight control in women with polycystic ovary syndrome (PCOS). METHODS: We conducted an online survey involving 232 women with PCOS and 157 healthy controls on weight changes, physical activity, sleep and eating patterns using Three-Factor Eating Questionnaire (TFEQ-18), Pittsburgh Sleep Quality Index (PSQI), and International Physical Activity Questionnaire Short Form (IPAQ-SF). PCOS-related quality of life questionnaire (PCOSQ) was also completed by the patients. RESULTS: While 48.5% of all participants gained weight, 13.9% maintained a stable weight, and 37.6% lost weight during the 14-week social isolation. The distribution of weight change was similar between groups (p = 0.44). All participants reported a decrease in physical activity (p < 0.001). While eating behavior showed no significant change in both groups, reduced sleep quality was found only in the PCOS group (p < 0.001). In women with weight gain, increase in BMI values was higher in patients (1.3 ± 1 kg/m2) than controls (1.0 ± 0.6 kg/m2; p = 0.01). Among those who gained weight, delta BMI values showed positive correlations with delta sleep induction time (r = 0.25, p = 0.001), delta PSQI (r = 0.24, p = 0.004) and delta TFEQ-18 scores (r = 0.25, p = 0.001). CONCLUSION: Weight changes during social isolation are similar in women with PCOS and healthy women. However, within those who gain weight, increase in BMI is more pronounced in women with PCOS. Weight gain appears to be related to alterations in sleep quality and eating habits rather than reduced physical activity. LEVEL III: Evidence obtained from cohort or case-control analytic studies.

Effect of pharmacological interventions on lipid profiles and C-reactive protein in polycystic ovary syndrome: A systematic review and meta-analysis.

CONTEXT: Polycystic ovary syndrome (PCOS) is a heterogeneous condition affecting women of reproductive age. It is associated with dyslipidaemia and elevated plasma C-reactive protein (CRP), which increase the risks of cardiovascular disease (CVD). OBJECTIVE: To review the existing evidence on the effects of different pharmacological interventions on lipid profiles and CRP of women with PCOS. DATA SOURCES: We searched PubMed, MEDLINE, Scopus, Embase, Cochrane Library, and Web of Science in April 2020 and updated the results in March 2021. STUDY SELECTION: The study included randomized controlled trials (RCTs) and follows the 2020 Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). DATA EXTRACTION: Two independent researchers extracted data and assessed for risk of bias using the Cochrane risk of bias tool. Covidence systematic review software were used for blinded screening and study selection. DATA SYNTHESIS: In 29 RCTs, there were significant reductions in triglycerides with atorvastatin versus placebo [mean difference (MD): -0.21 mmol/L; 95% confidence interval (CI): -0.39, -0.03, I2 = 0%, moderate grade evidence]. Significant reductions were seen for low-density lipoprotein cholesterol (LDL-C) with metformin versus placebo [standardized mean difference (SMD): -0.41; 95% CI: -0.85, 0.02, I2 = 59%, low grade evidence]. Significant reductions were also seen for total cholesterol with saxagliptin versus metformin (MD: -0.15 mmol/L; 95% CI: -0.23, -0.08, I2 = 0%, very low grade evidence). Significant reductions in C-reactive protein (CRP) were seen for atorvastatin versus placebo (MD: -1.51 mmol/L; 95% CI: -3.26 to 0.24, I2 = 75%, very low-grade evidence). CONCLUSION: There were significant reductions in the lipid parameters when metformin, atorvastatin, saxagliptin, rosiglitazone and pioglitazone were compared with placebo or other agents. There was also a significant reduction of CRP with atorvastatin.

Uncertainty, Anxiety and Isolation: Experiencing the COVID-19 Pandemic and Lockdown as a Woman with Polycystic Ovary Syndrome (PCOS).

Background: The COVID-19 pandemic and the related lockdown measures presented a significant risk to physical and mental wellbeing in affected populations. Women with polycystic ovary syndrome (PCOS) are predisposed to several cardio-metabolic risk factors which increase the susceptibility to severe COVID-19 and also exhibit increased likelihood of impaired mental health wellbeing. Therefore, these women who usually receive care from multiple primary and specialist healthcare services may be disproportionately impacted by this pandemic and the related restrictions. This study aimed to explore the lived experience of the first UK national lockdown as a woman with PCOS. Methods: As part of a larger cross-sectional study, 12 women with PCOS living in the UK during the first national COVID-19 lockdown were recruited to a qualitative study. Telephone interviews were conducted in June/July of 2020, and data collected were subjected to thematic analysis. Results: Five themes were identified. "My PCOS Journey" describes participants' experiences of diagnosis, treatment and ongoing management of their PCOS. "Living Through Lockdown" describes the overall experience and impact of the lockdown on all aspects of participants' lives. "Self-care and Managing Symptoms" describe multiple challenges to living well with PCOS during the lockdown, including lack of access to supplies and services, and disruption to weight management. "Healthcare on Hold" describes the uncertainty and anxiety associated with delays in accessing specialised healthcare for a range of PCOS aspects, including fertility treatment. "Exacerbating Existing Issues" captures the worsening of pre-existing mental health issues, and an increase in health anxiety and feelings of isolation. Conclusion: For the women with PCOS in this study, the COVID-19 pandemic and the first national lockdown was mostly experienced as adding to the pre-existing challenges of living with their condition. The mental health impact experienced by the study participants was increased due to lack of access to their normal support strategies, limitations on healthcare services and uncertainty about their risk of COVID-19.

Vaspin, a novel adipokine in woman granulosa cells physiology and PCOS pathogenesis?

Vaspin is a novel adipokine mainly expressed in visceral adipose tissue and closely related to obesity and insulin-resistance. Currently, data about its ovarian expression are limited to animal models and its role in human reproduction is largely unexplored. Our study's aims were then to characterise vaspin expression in the human ovary and to study in vitro its effects on granulosa cells physiology. Secondly, we assessed vaspin and its receptor GRP78 variations in granulosa cells and follicular fluid of a cohort of 112 infertile women undergoing an in vitro fertilisation procedure and allocated to three groups, each including normal-weight and obese subjects: 34 PCOS patients, 33 women with isolated polycystic ovary morphology (ECHO group) and 45 controls. Vaspin and GRP78 expression in the ovary was assessed by immunohistochemistry, RT-qPCR and Western blot. Granulosa cells and follicular fluid were analysed by RT-qPCR and ELISA, respectively. In vitro, granulosa cells metabolism was studied after stimulation with recombinant human vaspin, with and without a siRNA directed against GRP78. Vaspin was highly expressed in the human ovary and concentration-dependently enhanced granulosa cells steroidogenesis, proliferation and viability through GRP78 (P < 0.0001). Vaspin levels in both granulosa cells and follicular fluid were significantly higher in obese women (P < 0.0001) and in the normal-weight ECHO group (P < 0.001), which also had the highest expression rates of GRP78 (P < 0.05). Although further investigation is needed, vaspin appears as a novel modulator of human granulosa cells physiology and possibly plays a role in PCOS pathogenesis, notably protecting from insulin-resistance induced complications.

Polycystic ovary syndrome (PCOS) and COVID-19: an overlooked female patient population at potentially higher risk during the COVID-19 pandemic.

BACKGROUND: In women of reproductive age, polycystic ovary syndrome (PCOS) constitutes the most frequent endocrine disorder. Women with PCOS are considered to typically belong to an age and sex group which is at lower risk for severe COVID-19. MAIN BODY: Emerging data link the risk of severe COVID-19 with certain factors such as hyper-inflammation, ethnicity predisposition, low vitamin D levels, and hyperandrogenism, all of which have known direct associations with PCOS. Moreover, in this common female patient population, there is markedly high prevalence of multiple cardio-metabolic conditions, such as type 2 diabetes, obesity, and hypertension, which may significantly increase the risk for adverse COVID-19-related outcomes. This strong overlap of risk factors for both worse PCOS cardio-metabolic manifestations and severe COVID-19 should be highlighted for the clinical practice, particularly since women with PCOS often receive fragmented care from multiple healthcare services. Comprehensively informing women with PCOS regarding the potential risks from COVID-19 and how this may affect their management is also essential. CONCLUSION: Despite the immense challenges posed by the COVID-19 outbreak to the healthcare systems in affected countries, attention should be directed to maintain a high standard of care for complex patients such as many women with PCOS and provide relevant practical recommendations for optimal management in the setting of this fast moving pandemic.