Ultrasonographic Evaluation of Anovulatory Disorders in Lean and Overweight Women
Ultrasonographic Evaluation of Anovulatory Disorders in Lean and Overweight Women
The investigators would like to determine whether ultrasound features of the ovaries can be used to reliably diagnose different types of anovulatory disorders in women across all body types. The study will also try to establish whether ultrasound features of the ovary can reflect the degree of reproductive and metabolic problems that a woman with irregular or absent periods might be experiencing.
This study is being conducted in order to determine if ultrasound features of the ovaries can be used to reliably diagnose different types of anovulatory disorders in women across all body types. The study will also try to establish whether ultrasound features of the ovary can reflect the degree of reproductive and metabolic problems that a woman with irregular or absent periods might be experiencing. In this way, the researchers can help to maximize the information that can be received when using ultrasound to evaluate patients with concerns over irregular menstrual cycles and/or infertility.
The ovaries are the site of egg production and normally release one egg every month. The process of releasing an egg is called ovulation. The act of releasing an egg is the body's way of ensuring a woman's fertility each month during her reproductive years. There are a number of reasons why ovulation may not occur regularly in women. Some of these reasons are believed to relate to male hormone production (i.e. androgens), body composition, nutrition and overall metabolic health. However, the precise ways in which these factors affect ovulation are unknown.
The researchers plan to evaluate how the ovaries look and function in a large group of women. Their goal is to recruit both lean and overweight women to this study and include both women that have regular, predictable menstrual cycles as well as those that have infrequent or absent menstrual cycles. The researchers will include women with irregular cycles due to increased androgen production, or hyperandrogenic anovulation - as well as those that have irregular cycles but normal androgen levels or normoandrogenic anovulation. The researchers will use ultrasound to collect information on how the ovaries look and function, and then relate the features of the ovaries to body composition, reproductive and metabolic hormones as well as nutritional factors. Because features of the ovaries are expected to be different in lean and overweight women, the researchers hope to develop ultrasound criteria that will help healthcare providers to diagnosis specific ovulation problems in women across all body sizes. Together, this research will help to better understand the complex relationship between nutrition, metabolism and reproductive health in women.
To accomplish these objectives, the investigators plan to recruit 50 women with regular menstrual cycles, 50 women with normoandrogenic anovulation, and 50 women with hyperandrogenic anovulation. Their goal is to recruit an equal number of women in each group who are lean (BMI; Normal weight = 18.5 - 24.9 kg/m2) and overweight or obese (BMI; Overweight = 25 - 29.9 kg/m2; Obese >= 30kg/m2). Ultrasound scans of the ovaries will be assessed for the total number, size, and distribution of follicles using both two- and three-dimensional imaging techniques. Participants will have blood samples collected determine serum concentrations of luteinizing hormone (LH), follicle stimulating hormone (FSH), estradiol, progesterone. The following metabolic parameters will be assessed: (1) 75-gram oral glucose tolerance test to characterize glucose and insulin dynamics at 0, 30, 60, 90, and 120 minutes post-glucose ingestion; (2) dual X-ray absorptiometry (DXA) scan to quantify body fat and lean muscle distribution; (3) vitals and anthropometry assessment to measure waist and hip circumference, height, weight, blood pressure, and heart rate, and (4) fasting blood tests to detect serum concentrations of androgens (i.e., total testosterone, androstenedione, free androgen index) and serum markers of metabolic syndrome (i.e., lipids and hemoglobin A1C). Participants will complete a food frequency questionnaire and physical activity questionnaire. A researcher may also provide participants with an accelerometer to wear for a week.
Inclusion Criteria:
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Exclusion Criteria: