View clinical trials related to Polycystic Ovary Syndrome.
Filter by:Enrolling of 150 female patients of fertile age diagnosed with PCOS, insulin resistance, infertility, or mitochondrial disease, and the same number of age- and sex-matched controls are planned. During the research biomarkers already with mitochondrial dysfunction in the scientific literature and common mtDNA abnormalities (deletions, point mutations, copy number changes, etc.) are examined.
This trial will study the safety and efficacy of cultured allogeneic adult umbilical cord derived mesenchymal stem cells delivered intravenously for the treatment of Polycystic Ovary Syndrome.
To classify subtypes of Polycystic Ovary Syndrome (PCOS) using machine-learning algorithms, and compare the reproductive and metabolic characteristics and IVF outcomes across these identified subtypes.
The main purpose of this study is to evaluate Fetal Medicine Foundation's pre-eclampsia risk calculator using maternal characteristics, first trimester serum placental growth factor (PlGF) and mean arterial pressure (MAP) in a Finnish general population. Condition or disease: pre-eclampsia, intrauterine growth restriction, polycystic ovary syndrome
The goal of this randomized, double blind, placebo-controlled clinical trial is to learn about, the effect of low dose vitamin D supplementation compares with placebo-controlled group on testosterone level in women with polycystic ovary syndrome. Half of Participants will receive vitamin D and metformin while other half placebo and metformin.
IVM with a pre-maturation step, known as capacitation IVM (CAPA-IVM), has demonstrated enhanced maturation of human oocytes in vitro and successful live births. However, CAPA-IVM has shown lower rates of embryo formation when compared to conventional in vitro fertilization/ intra cytoplasmic sperm injection (IVF/ICSI) cycles. To optimize the CAPA-IVM culture system, this pilot study aims to evaluate the impact of low oxygen versus air oxygen concentrations on embryological outcomes in PCOS patients.
Polycystic ovary syndrome (PCOS) is a common reproductive endocrine and metabolic disease that affects 6-20% of women of childbearing age worldwide. Due to changes in modern lifestyles such as low fiber, high fat diets, sedentary lifestyles, smoking, and alcohol consumption, the risk of developing this disease has increased. Its clinical manifestations are heterogeneous, with typical clinical manifestations being oligomenorrhea or amenorrhea, infertility, hirsutism, and polycystic ovarian changes under ultrasound. Women affected by PCOS face significant reproductive challenges, seriously affecting their quality of life and increasing their psychological burden.LRG1 has various regulatory functions, including glucose and lipid metabolism, IR, angiogenesis, organ fibrosis, and inflammation. LRG1 can activate the transcription factor SREBP1 and participate in liver lipid synthesis in obese mice. SREBP1c is the active form of SREBP1. Research has shown that SREBP1c can directly or indirectly participate in the development of IR. Therefore, the investigators speculate that LRG1 may play a certain role in the progression of PCOS through SREBP1c.Understanding the local changes or metabolic characteristics of follicular fluid in patients with PCOS can help elucidate the pathogenesis of PCOS. Therefore, in this study,the investigators aim to detect changes in serum and follicular fluid LRG1, SREBP1c, and related hormone levels, and explore their role in the pathogenesis of PCOS from a systemic and ovarian perspective, providing new ideas for the prevention and treatment of PCOS and IR.
PCOS is the most common endocrine disorder of reproductive aged women. In addition to menstrual and endocrine abnormalities, PCOS is characterized by insulin resistance and glycemic dysregulation. The pattern of glycemic abnormalities among patients with PCOS may be different than the general population, as evidenced by invasive, time consuming, and costly procedures such as the euglycemic clamp or oral glucose tolerance test. Continuous glucose monitoring (CGM) offers an opportunity to evaluate glycemic status in real world conditions. Furthermore, use of a CGM has been found to improve glycemic status among those with prediabetes and diabetes, but little is known about utility among patients with PCOS. The investigators thus seek to 1) characterize glycemic status using CGM among patients with PCOS and 2) assess the impact of CGM use on metabolic and reproductive health in patients with PCOS.
Polycystic ovary syndrome (PCOS) is a common gynecological endocrine disease and a major cause of anovulatory infertility in reproductive-aged women. From 2010 to 2020, it was found that the prevalence of PCOS in reproductive-aged women in China reached 7.8%, an increase of 65% over 10 years ago. Many of them are overweight or obese. Weight loss including diet modifications can significantly reduce reproductive and metabolic disorders of PCOS and is recommended as a first step in the treatment of overweight or obese women with PCOS. Many weight loss programs have been proposed, including calorie-restriction diet (CRD) intervention. Whether CRD intervention prior to ovulation induction therapy could improve live birth rates in overweight/obese PCOS women has not been illustrated.
The investigators collected clinical data and serum samples of patients with polycystic ovary syndrome (PCOS) in this study, used statistical software such as SPSS for date analysis, and used experimental techniques such as ELISA and flow cytometry to detect serum samples, aiming to explore the relationship between the body anthropometry, skin conditions, psychosomatic status, diet, sleep, exercise, glucose and lipid metabolism, gonadal hormones, and body fat distribution in patients with polycystic ovary syndrome, and to discovery new biomarkers. Multidisciplinary exploration of the mechanisms of disease occurrence and development, the establishment of a PCOS multicenter, multidisciplinary and multidimensional clinical research database, combined with the established statistical analysis strategy for big data and analysis, to promote the realization of more accurate personalized medicine.