Academic Articles & Research Papers

Differences in Prevalence of Polycystic Ovary Syndrome Diagnosis Across Sexual Orientation in a Longitudinal Cohort of U.S. Adults.

Population-Level Co-Distribution and Spatiotemporal Burden Trends of Endometriosis and Polycystic Ovary Syndrome Among Reproductive-Age Women in Europe, 1990-2023: An Analysis of the Global Burden of Disease 2023.

Polycystic ovary syndrome with metabolic syndrome and diabetes: a systematic review and meta-analysis.

Molecular docking and mouse modeling suggest CMKLR1 and INSR as targets for improving PCOS phenotypes by minocycline

Polycystic ovary syndrome (PCOS) is the most common cause of women’s infertility. Some inflammatory pathways play a pivotal role in the pathogenesis of PCOS. This study aimed to investigate the possible beneficial effects of minocycline on ...

Review on: Women with Polycystic Ovary Syndrome

One of the biggest health issues facing women in their childbearing years worldwide is polycystic ovarian syndrome, or PCOS. PCOS is a prevalent endocrine condition with well-known negative effects on metabolism, reproduction, and cardiovas...

The Protective Effect of Sulforaphane against Oxidative Stress through Activation of NRF2/ARE Pathway in Human Granulosa Cells

Objective: Sulforaphane (SFN) is a natural free radical scavenger that can reduce oxidative stress (OS) through mediating nuclear factor (erythroid-derived 2)-like 2 (NF-E2-related factor 2 or NRF2)/antioxidant response element (ARE) signal...

Effects of Lactobacillus crispatus-Containing Probiotics and Metformin on Insulin Resistance, Inflammation, and Gut Microbiome in Polycystic Ovary Syndrome: Protocol for an Open-Label Randomized Controlled Trial.

A machine-learning approach for predicting the effect of carnitine supplementation on body weight in patients with polycystic ovary syndrome

The present study aimed to explore the effect of carnitine supplementation on body weight in patients with polycystic ovary syndrome (PCOS) and predict an appropriate dosage schedule using a machine-learning approach. Data were obtained fro...