Polycystic ovary syndrome (PCOS) is a complex endocrine and metabolic disorder, typically characterized by anovulation, infertility, obesity, insulin resistance, and polycystic ovaries. Lifestyle or diet, environmental pollutants, genetics, gut dysbiosis, neuroendocrine alterations, and obesity are among the risk factors that predispose females to PCOS. These factors might contribute to upsurging metabolic syndrome by causing hyperinsulinemia, oxidative stress, hyperandrogenism, impaired folliculogenesis, and irregular menstrual cycles. Dysbiosis of gut microbiota may play a pathogenic role in the development of PCOS. The restoration of gut microbiota by probiotics, prebiotics, or a fecal microbiota transplant (FMT) might serve as an innovative, efficient, and noninvasive way to prevent and mitigate PCOS. This review deliberates on the variety of risk factors potentially involved in the etiology, prevalence, and modulation of PCOS, in addition to plausible therapeutic interventions, including miRNA therapy and the eubiosis of gut microbiota, that may help treat and manage PCOS.

/pdf/polycystic-ovary-syndrome-etiology-current-management-and-1de7ni4o.pdf

Polycystic Ovary Syndrome: Etiology, Current Management, and Future Therapeutics

Polycystic ovary syndrome (PCOS) is the most common endocrine diseases in women of childbearing age that leads to menstrual disorders and infertility. The pathogenesis of PCOS is complex and has not yet been fully clarified. Gut microbiota is associated with disorders of lipid, glucose, and steroid hormone metabolish. A large body of studies demonstrated that gut microbiota could regulate the synthesis and secretion of insulin, and affect androgen metabolism and follicle development, providing us a novel idea for unravelling the pathogenesis of PCOS. The relationship between gut microbiota and the pathogenesis of PCOS is particularly important. This study reviewed recent research advances in the roles of gut microbiota in the occurrence and development of PCOS. It is expected to provide a new direction for the treatment of PCOS based on gut microbiota.

/pdf/gut-microbiota-dysbiosis-in-polycystic-ovary-syndrome-3o96umqv.pdf

Gut microbiota dysbiosis in polycystic ovary syndrome: Mechanisms of progression and clinical applications

/pdf/exenatide-prevents-statin-related-ldl-receptor-increase-and-2j734y0v.pdf

Exenatide prevents statin-related LDL receptor increase and improves insulin secretion in pancreatic beta cells (1.1E7) in a protein kinase A-dependent manner

Polycystic ovary syndrome (PCOS) manifests a multifactorial pathology characterized by polycystic ovaries, menstrual cycle disorders, varying degrees of hyperandrogenism, and an ad-verse metabolic risk profile. The position of hyperandrogenism in this syndrome has been extensively studied. A multitude of mechanisms place it in the position of cause but also of consequence; therefore, ongoing research efforts are focused on identifying medications that can effectively reduce levels of androgens in women with PCOS. Moreover, lipid abnormalities are common in this population, with up to 70% of patients having dyslipidemia. Statins may have potential therapeutic benefits for women with PCOS, as they have been shown to improve insulin resistance and reduce the risk of cardiovascular disease. In addition, their role in accelerated steroidogenesis by limiting one source of cholesterol, influencing enzymatic activity, and providing several other beneficial mechanisms is widely investigated. This review aimed to provide a comprehensive overview of the pathogenesis of androgen excess and dyslipidemia in PCOS, as well as the therapeutic potential of statins.

The Current and Emerging Role of Statins in the Treatment of PCOS: The Evidence to Date

Background: The optimal drug for treatment with polycystic ovary syndrome (PCOS) was in debate. We did this network meta-analysis to assess the efficacy and safety of different drugs for reducing testosterone levels in women with PCOS. Methods: We searched studies from inception until January 10, 2023, through PubMed, Embase, and Cochrane Library database. All studies comparing different drugs for reducing testosterone levels in women with polycystic ovary syndrome were included in this network meta-analysis. Outcomes were total testosterone levels, free testosterone levels, and withdraw due to adverse events. We calculated the surface under the cumulative ranking curve (SUCRA) for each treatment. Results: Finally, a total of 13 studies were finally included in this network meta-analysis. In head-to-head comparison, atorvastatin (WMD −3.1, 95% CrI: −3.7 to −2.5), metformin (WMD −2.6, 95% CrI: −3.5 to −1.6), metformin + simvastatin (WMD −2.8, 95% CrI: −4.1 to −1.5), simvastatin (WMD −2.7, 95% CrI: −4.2 to −1.3), spironolactone (WMD −3.1, 95% CrI: −4.3 to −1.9), spironolactone + metformin (WMD −3.2, 95% CrI: −4.5 to −2.0) were all more effective than the placebo, and the difference was statistically significant (P < .05). The SUCRA shows that spironolactone + metformin ranked first (SUCRA, 85.0%), Atorvastatin ranked second (SUCRA, 77.7%), Spironolactone ranked third (SUCRA, 77.2%), and metformin + simvastatin ranked the fourth. The SUCRA of different drugs for free testosterone levels shows that atorvastatin ranked first (SUCRA, 75.0%), spironolactone + metformin ranked second (SUCRA, 5.3%), metformin + simvastain ranked third (SUCRA, 62.6%), and spironolactone ranked the fourth (SUCRA, 56.4%). No statistically significant differences were found between the 2 treatment groups for withdrawn due to adverse events (P > .05). Conclusions: Considering the network meta-analysis and rankings, atorvastatin was recommended to be the optimal drug for treatment PCOS. However, the optimal dose of atorvastatin was unknown and should be verified by more randomized controlled trials.

Comparison of different drug for reducing testosterone levels in women with polycystic ovary syndrome: A systematic review and network meta-analysis

Effects of atorvastatin on the insulin resistance in women of polycystic ovary syndrome: A systematic review and meta-analysis

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Lin-Lin Chen

Author Tools

Chat about Author

Papers

Effects of atorvastatin on the insulin resistance in women of polycystic ovary syndrome: A systematic review and meta-analysis