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Clinical and Experimental Reproductive... Apr 2024Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder among reproductive-age women. As a leading cause of anovulatory infertility, it complicates...
Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder among reproductive-age women. As a leading cause of anovulatory infertility, it complicates fertility treatments, including in vitro fertilization. The widely accepted 2003 Rotterdam diagnostic criteria for PCOS include sub-phenotypes based on variations in androgen excess, ovulatory dysfunction, and polycystic ovarian morphology. In this systematic review, we examined the impacts of inositol and vitamin D on fertility in PCOS. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines, we used relevant keywords to comprehensively search databases including PubMed, Google Scholar, and MDPI. From an initial pool of 345 articles, 10 met the inclusion criteria. The articles suggest that vitamin D and inositol, particularly myo-inositol and D-chiro-inositol, may represent therapeutic options for PCOS. Vitamin D influences ovarian follicular development, glucose regulation, and insulin sensitivity. When combined with metformin therapy, it is associated with improved menstrual regularity and ovulation. Inositol is crucial for cellular signaling, energy metabolism, glucose regulation, and fertility. This systematic review underscores the importance of investigating inositol and vitamin D within a PCOS management strategy, given the disorder's prevalence and impacts on fertility and metabolic health. Although these agents show promise, additional research could clarify their mechanisms of action and therapeutic benefits. This review emphasizes the need for exploration of effective treatments to improve the quality of life among individuals with PCOS. Inositol and vitamin D represent potential options, but more studies are required to elucidate their roles in the management of this condition.
PubMed: 38599886
DOI: 10.5653/cerm.2023.06485 -
Reproductive Health Feb 2024Polycystic ovary syndrome (PCOS) is a common condition in women, characterised by reproductive and metabolic dysfunction. While dietary approaches have been evaluated as... (Meta-Analysis)
Meta-Analysis Review
INTRODUCTION
Polycystic ovary syndrome (PCOS) is a common condition in women, characterised by reproductive and metabolic dysfunction. While dietary approaches have been evaluated as a first-line treatment for patients with PCOS, there is limited evidence to support preference for a specific dietary composition. This systematic review and network meta-analysis was performed with the objective of comparing different dietary interventions in terms of positive impact. Metformin, the currently preferred treatment, was also compared.
METHODS
The latest systematic search was performed on the 20th of March, 2023. Eligible randomised controlled trials (RCTs) included patients with PCOS and compared the dietary approach with another intervention or a standard diet. Outcomes were expressed via anthropometric measurements and hormonal, glycemic, and lipid levels. The Bayesian method was used to perform a network meta-analysis and to calculate the surface under the cumulative ranking curve (SUCRA) values in order to rank the dietary interventions. The overall quality of the evidence was assessed using the Grading of Recommendations Assessment, Development, and Evaluation system.
RESULTS
19 RCTs were identified, comprising data from 727 patients who were variously treated with 10 types of dietary interventions and metformin. The Dietary Approaches to Stop Hypertension (DASH) diet was the most effective in reducing Homeostatic Model Assessment of Insulin Resistance (SUCRA 92.33%), fasting blood glucose (SUCRA 85.92%), fasting insulin level (SUCRA 79.73%) and triglyceride level (SUCRA 82.07%). For body mass index (BMI), the most effective intervention was the low-calorie diet (SUCRA 84.59%). For weight loss, the low-calorie diet with metformin (SUCRA 74.38%) was the most effective intervention. Metformin produced the greatest reductions in low-density lipoprotein cholesterol (SUCRA 78.08%) and total testosterone levels (SUCRA 71.28%). The low-carb diet was the most effective intervention for reducing cholesterol levels (SUCRA 69.68%), while the normal diet (SUCRA 65.69%) ranked first for increasing high-density lipoprotein cholesterol levels.
CONCLUSION
Dietary interventions vary in their effects on metabolic parameters in women with PCOS. Based on our results, the DASH diet is the most effective dietary intervention for treating PCOS. Registration PROSPERO ID CRD42021282984.
Topics: Female; Humans; Polycystic Ovary Syndrome; Network Meta-Analysis; Metformin; Diet; Cholesterol
PubMed: 38388374
DOI: 10.1186/s12978-024-01758-5 -
Frontiers in Endocrinology 2023Polycystic Ovarian Syndrome (PCOS) is the most common endocrinopathy in women of reproductive age and remains widely underdiagnosed leading to significant morbidity....
INTRODUCTION
Polycystic Ovarian Syndrome (PCOS) is the most common endocrinopathy in women of reproductive age and remains widely underdiagnosed leading to significant morbidity. Artificial intelligence (AI) and machine learning (ML) hold promise in improving diagnostics. Thus, we performed a systematic review of literature to identify the utility of AI/ML in the diagnosis or classification of PCOS.
METHODS
We applied a search strategy using the following databases MEDLINE, Embase, the Cochrane Central Register of Controlled Trials, the Web of Science, and the IEEE Xplore Digital Library using relevant keywords. Eligible studies were identified, and results were extracted for their synthesis from inception until January 1, 2022.
RESULTS
135 studies were screened and ultimately, 31 studies were included in this study. Data sources used by the AI/ML interventions included clinical data, electronic health records, and genetic and proteomic data. Ten studies (32%) employed standardized criteria (NIH, Rotterdam, or Revised International PCOS classification), while 17 (55%) used clinical information with/without imaging. The most common AI techniques employed were support vector machine (42% studies), K-nearest neighbor (26%), and regression models (23%) were the commonest AI/ML. Receiver operating curves (ROC) were employed to compare AI/ML with clinical diagnosis. Area under the ROC ranged from 73% to 100% (n=7 studies), diagnostic accuracy from 89% to 100% (n=4 studies), sensitivity from 41% to 100% (n=10 studies), specificity from 75% to 100% (n=10 studies), positive predictive value (PPV) from 68% to 95% (n=4 studies), and negative predictive value (NPV) from 94% to 99% (n=2 studies).
CONCLUSION
Artificial intelligence and machine learning provide a high diagnostic and classification performance in detecting PCOS, thereby providing an avenue for early diagnosis of this disorder. However, AI-based studies should use standardized PCOS diagnostic criteria to enhance the clinical applicability of AI/ML in PCOS and improve adherence to methodological and reporting guidelines for maximum diagnostic utility.
SYSTEMATIC REVIEW REGISTRATION
https://www.crd.york.ac.uk/prospero/, identifier CRD42022295287.
Topics: Female; Humans; Artificial Intelligence; Polycystic Ovary Syndrome; Proteomics; Machine Learning; Cluster Analysis
PubMed: 37790605
DOI: 10.3389/fendo.2023.1106625 -
Nutrition & Diabetes Feb 2024The optimal dietary regimen for polycystic ovary syndrome (PCOS) has not been identified. High-protein diets (HPDs) are effective for weight control in individuals with... (Meta-Analysis)
Meta-Analysis Review
The optimal dietary regimen for polycystic ovary syndrome (PCOS) has not been identified. High-protein diets (HPDs) are effective for weight control in individuals with metabolic abnormalities, but no systematic meta-analyses have yet summarised the effects of HPDs on PCOS. Seven electronic databases were searched from inception to 30 April 2023, and studies comparing the effects of HPDs and other diets on the anthropometrics, metabolic factors, and hormonal profiles for PCOS were identified. Data were pooled using random-effects models and expressed as weighted mean differences and 95% confidence intervals. The risk of bias was assessed by Cochrane Collaboration tool. Eight trials involving 300 women with PCOS were included. Compared with isocaloric balanced diets (BDs), HPDs significantly reduced fasting insulin (-2.69 μIU/mL, 95% CI [-3.81, -1.57], P < 0.0001, I = 46%) and homoeostatic model assessment for insulin resistance (HOMA-IR-0.41, 95% CI [-0.80, -0.02], P = 0.04, I = 94%) in women with PCOS. However, HPDs and BDs had comparable effects on weight loss, abdominal adiposity, lipid profiles, and reproductive hormones (all P ≥ 0.05). HPDs may benefit women with PCOS in terms of improving insulin resistance, supporting for their use as one of the dietary management options for PCOS, however further RCTs in larger and broader settings are required to confirm these observations and investigate the mechanism behind it.
Topics: Humans; Female; Polycystic Ovary Syndrome; Insulin Resistance; Insulin; Diet, High-Protein; Cardiovascular Diseases
PubMed: 38424054
DOI: 10.1038/s41387-024-00263-9 -
Women's Health (London, England) 2024Polycystic ovary syndrome is a common reproductive endocrine condition that affects women of fertile age and is characterized by three main features, including... (Review)
Review
Polycystic ovary syndrome is a common reproductive endocrine condition that affects women of fertile age and is characterized by three main features, including hyperandrogenism, chronic anovulation, and polycystic ovaries. In addition, half of women with polycystic ovary syndrome have insulin resistance, and obesity or overweight, type 2 diabetes, hypertension, and hyperlipidemia are the most common metabolic abnormalities affecting (30%) women with polycystic ovary syndrome. Weight loss is regarded as the first-line treatment as it can potentially improve polycystic ovary syndrome parameters (androgen levels, menstrual cyclicity, lipid and glucose metabolism). However, achieving and maintaining weight loss can be challenging, and pharmacological agents could be essential to achieve optimal glycemic control and improve the endocrine disturbance associated with polycystic ovary syndrome. Glucagon-like peptide-1 receptor agonist has been demonstrated as monotherapy or in combination with metformin for managing obesity and insulin resistance associated with polycystic ovary syndrome. Yet, its effect on endocrine and metabolic parameters remains elusive, and further research is needed to close the gap. The aim is to evaluate the efficacy of glucagon-like peptide-1 receptor agonist monotherapy and/or a combined treatment between glucagon-like peptide-1 receptor agonist and metformin for improving anthropometric measurements, endocrine and metabolic parameters in lean and obese women with polycystic ovary syndrome. A systematic review of longitudinal cohort studies was conducted across databases including Ovid Medline, PubMed Central, and Cochrane Library between 2015 and 2022. Eligible studies included participants with polycystic ovary syndrome diagnosed according to the 2003 Rotterdam or the 1990 National Institutes of Health criteria. A total of eight studies including 486 patients with polycystic ovary syndrome were analyzed. The mean age was between 18 and 45 years with mean follow-up period between 12 and 32 weeks. In all these studies, results were comparable for the reduction in body mass index, waist circumference, fat mass, and visceral fat mass; however, it was more in combination therapy versus comparator. In conclusion, glucagon-like peptide-1 receptor agonists effectively reduce body weight and improve some of the endocrine and metabolic parameters of polycystic ovary syndrome. A combined treatment with glucagon-like peptide-1 receptor agonist and metformin had significant effects on weight loss and favorable results on endocrine and metabolic parameters, yet further research is needed to discover the long-term safety of combined therapy in women diagnosed with polycystic ovary syndrome and obesity or overweight.
Topics: Female; Humans; Infant; Male; Diabetes Mellitus, Type 2; Glucagon-Like Peptide 1; Glucagon-Like Peptide-1 Receptor Agonists; Insulin Resistance; Longitudinal Studies; Metformin; Obesity; Overweight; Polycystic Ovary Syndrome; United States; Weight Loss
PubMed: 38444070
DOI: 10.1177/17455057241234530 -
Frontiers in Nutrition 2023Synbiotics, refer to a combination of probiotics and prebiotics in a form of synergism that beneficially affect the host's health by alternating the composition and/or...
BACKGROUND
Synbiotics, refer to a combination of probiotics and prebiotics in a form of synergism that beneficially affect the host's health by alternating the composition and/or function of the gut microbiota. Numerous meta-analyses of randomized clinical trials have proven that pro, pre-, and synbiotics supplementation has health outcomes in women with polycystic ovary syndrome (PCOS). However, the strength and quality of this evidence in aggregate have not yet been synthesized in great detail.
METHODS
PubMed, Scopus, Web of Sciences, and Google Scholar were searched up to March 2023. We pooled the mean difference and its 95% confidence interval (CI) by applying a random-effects model.
RESULTS
Overall, nine meta-analyses including a total of 12 trials were identified. The results of the present study indicated that probiotic supplementation significantly reduced the homeostatic model assessment for insulin resistance (HOMA-IR; WMD: -0.29, 95% CI: -0.57 to -0.02, = 0.03, = 4; moderate certainty) and fasting glucose concentration (FGC; WMD: -7.5 mg/dL, 95% CI: -13.60 to -0.51, = 0.03; = 4; low certainty). Moreover, synbiotic supplementation had beneficial effects on glycemic control, lipid profile, and hormonal parameters, but the certainty of the evidence was rated as low to very low. However, supplementation with pro-/synbiotics did not affect inflammation and oxidative stress in women with PCOS. Furthermore, waist/hip circumference, fasting glucose concentration, lipid profile, dehydroepiandrosterone sulfate, high-sensitivity C-reactive protein, and hirsutism score were significantly reduced after prebiotics supplementation with low certainty of evidence.
CONCLUSION
Although pro-, pre-, and synbiotics supplementation had beneficial effects on some PCOS-related outcomes, the certainty of the evidence was rated as low to very low. Therefore, further well-designed RCTs might help to confirm our findings in women with PCOS.
PubMed: 37829729
DOI: 10.3389/fnut.2023.1178842 -
Acta Bio-medica : Atenei Parmensis Aug 2023To investigate the association between CYP17A1 (rs74357) polymorphism and the risk of Polycystic Ovary Syndrome (PCOS). (Meta-Analysis)
Meta-Analysis
BACKGROUND AND AIM
To investigate the association between CYP17A1 (rs74357) polymorphism and the risk of Polycystic Ovary Syndrome (PCOS).
METHODS
Literature on the association of CYP17rs74357 gene polymorphism and susceptibility to PCOS was retrieved by searching databases such as PubMed, Science Direct, Google Scholar and Embase from. The association measure was analyzed using an Odds Ratio (OR) and 95% Confidence Interval (CI). All the statistical analyses were executed using CMA 3.0 Software.
RESULTS
In the present meta-analysis,24 studies including 3462 PCOS and 2898 controls were analyzed. The overall results validated that the 17 CYP17 T/C (rs74357) gene polymorphism was significantly associated with PCOS risk in 5 genetic models: recessive model (fixed and random effect), dominant model (random effect), CC vs. TT (fixed effect), CT vs. TT (fixed effect), and allele contrast (random effect). Stratified analyses by ethnicity/country also detected significant association between Asian and Caucasian under the recessive, dominant, CC vs. TT, CC vs. CT, and the allele contrast models.
CONCLUSIONS
In the present study, CYP17 T/C (rs74357) gene polymorphism increase the susceptibility of PCOS, and the recessive C allele, can be proposed as a predictive factor for the risk of PCOS or an important pathway in PCOS associated metabolic and hormonal dysregulation especially insulin resistance.However, larger sample size andmultiracial studies are needed in the future to confirm the findings.
Topics: Female; Humans; Genetic Predisposition to Disease; Polycystic Ovary Syndrome; Polymorphism, Genetic; Steroid 17-alpha-Hydroxylase
PubMed: 37539608
DOI: 10.23750/abm.v94i4.14229 -
Cureus Dec 2023Gestational diabetes mellitus (GDM) is the most common complication of pregnancy that arises in the 2nd and 3rd trimesters, leading to significant complications for the... (Review)
Review
Gestational diabetes mellitus (GDM) is the most common complication of pregnancy that arises in the 2nd and 3rd trimesters, leading to significant complications for the mother and her neonates, such as an increased rate of pregnancy-induced hypertension and miscarriages, while neonates may have a large birth weight, hypoglycemia, or macrosomnia. Numerous risk factors can lead to GDM; however, a significant one is polycystic ovarian syndrome (PCOS). PCOS is the most common endocrine pathology beginning before puberty, and due to significant hormonal changes, it is not diagnosed until after puberty. PCOS requires at least three of the following symptoms: hyperandrogenism, menstrual irregularities, or polycystic ovary morphology. While it is agreed that women with PCOS are at a significantly increased risk of GDM, no publication to our knowledge has evaluated the full relationship of GDM in the setting of PCOS. This paper aimed to assess this relationship and determine how it may differ for pregnant women with only GDM by determining the prevalence of GDM, the variations within phenotypes, the influence of fertilization methods, specific risk factors, maternal outcomes, and neonatal outcomes. The prevalence of GDM was significantly increased in women with PCOS compared to healthy controls, and some studies have found that phenotype A may be more likely to lead to GDM. Risk factors were similar to pregnant women with only GDM, but with GDM and PCOS specifically, preconception low sex hormone-binding globulin, increased BMI > 25 kg/m2, and preconception impaired glucose tolerance were specific. While maternal outcomes were similar to pregnant women with only GDM, women with GDM and PCOS were even more likely to develop pregnancy-induced hypertension and early miscarriage. Neonates from mothers with GDM and PCOS were more likely to have low birth weights compared to mothers with just GDM who had high birth weights. The evaluation of the relationship between GDM and PCOS allows for illumination of the need to evaluate influences that currently lack research, such as phenotype variation and influences of fertilization method. This also promotes the need to develop predictive algorithms based on risk factors to prevent these adverse outcomes for mothers and neonates.
PubMed: 38234933
DOI: 10.7759/cureus.50725 -
Gynecological Endocrinology : the... Dec 2024To analyze differences in the menstrual pattern, age at menarche, and body mass index (BMI) in adolescents with Hypothalamic-Pituitary-Ovarian (HPO) axis immaturity and... (Meta-Analysis)
Meta-Analysis
OBJECTIVE
To analyze differences in the menstrual pattern, age at menarche, and body mass index (BMI) in adolescents with Hypothalamic-Pituitary-Ovarian (HPO) axis immaturity and Polycystic Ovary Syndrome (PCOS) through a systematic review and meta-analysis.
METHODS
The PubMed, EMBASE, Web of Science, Virtual Health Library, Scopus databases were searched using combinations of descriptors. Study quality was assessed using the Newcastle-Ottawa Scale. For data analysis, the results were grouped into PCOS group and NPCOS group (HPO axis immaturity). We performed a meta-analysis of raw data and the inverse variance method, employing the standardized mean difference, of the age at menarche and BMI of adolescents.
RESULTS
Participants totaled 1,718 from nine selected studies. The meta-analysis showed that the PCOS group had a higher BMI than the NPCOS group (SMD 0.334; CI95% 0.073 - 0.595; = .012). The degree of heterogeneity of the studies was approximately 40%. No significant difference in age at menarche (SMD - 0.027; CI95% -0.227 - 0.172; = 0.790) and menstrual patterns was found, but amenorrhea was described only in adolescents with PCOS.
CONCLUSIONS
The main characteristic in menstrual pattern that differentiated PCOS patients from girls with HPO axis immaturity was amenorrhea. Also, the BMI of PCOS patients was nearly one third higher than that of adolescents with HPO axis immaturity.
Topics: Humans; Polycystic Ovary Syndrome; Female; Adolescent; Menarche; Hypothalamo-Hypophyseal System; Body Mass Index; Ovary; Menstrual Cycle
PubMed: 38818646
DOI: 10.1080/09513590.2024.2360077 -
Cardiovascular Endocrinology &... Dec 2023Polycystic ovary syndrome (PCOS) is a common endocrine disorder affecting women of childbearing age, causing hormonal imbalances, reproductive issues, and metabolic... (Review)
Review
BACKGROUND
Polycystic ovary syndrome (PCOS) is a common endocrine disorder affecting women of childbearing age, causing hormonal imbalances, reproductive issues, and metabolic disturbances. Women with PCOS have an increased risk of cardiovascular disease due to insulin resistance, obesity, and hyperandrogenism. Detecting impaired left ventricular (LV) function is important in managing this condition. Echocardiography, a non-invasive imaging technique, can effectively detect LV dysfunction.
AIM
The goal of this systematic review was to assess whether there are any variations in echocardiographic measures between women with PCOS and those without the condition in order to determine the potential impact of PCOS on LV function.
METHODS
This review followed the PRISMA reporting guidelines. A thorough search of databases including PubMed, Scopus, Web of Science, and Cochrane was conducted. The quality of the selected studies was assessed using the Joanna Briggs Institute appraisal instruments. After applying strict eligibility criteria, data were extracted and organized in Microsoft Excel sheets. Review Manager (RevMan) software was used for the analysis.
RESULTS
Analysis of 29 studies revealed significant differences in echocardiographic measures related to diastolic function between women with PCOS and healthy controls. However, there were no significant differences in measures of systolic function.
CONCLUSION
These findings indicate that PCOS may be linked to impaired LV function, thereby increasing the risk of cardiovascular disease. Further research is necessary to better understand this association and its clinical implications. Early detection and management of PCOS could potentially help prevent cardiovascular complications in affected women.
PubMed: 37900050
DOI: 10.1097/XCE.0000000000000294