About this trial
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.
Eligibility criteria
Qualifiers
Female aged 18- 45;
Disqualifiers
Female patients younger than 18 years old or older than 45 years old;
Ovulatory disorders caused by premature ovarian failure, pituitary amenorrhea, hypothalamic amenorrhea, and thyroid dysfunction;
Congenital adrenal hyperplasia, reservoir Hin syndrome, hyperprolactinemia, adrenal tumors and other diseases that cause hyperandrogenism;
Abnormal liver or renal function((≥ 3 times of the upper limit of normal range)
Trial design
Treatments tested in this trial
- This study does not involve any interventions