Metabolic Profile of Patients with Premature Ovarian Insufficiency.
Cuvinte cheie
Abstract
Premature ovarian insufficiency (POI) is hypogonadism associated with amenorrhea, increased levels of gonadotropins, and hypoestrogenism. Deficiency of estrogens may contribute to higher risk of cardiovascular diseases and death. POI patients present several risk factors for the development of cardiovascular diseases (CVD): endothelial dysfunction, abnormal lipid profile, insulin resistance, and insulin action disturbances. Therefore, patients present a higher risk of developing metabolic syndrome.
METHODS
Follicle stimulating hormone (FSH), luteinizing hormone (LH), 17β-estradiol (E2), prolactin (PRL), testosterone (T), dehydroepiandrosterone sulfate (DHEA-S), thyroid stimulating hormone (TSH), thyroxine (fT4), fasting serum glucose and insulin concentrations, homeostatic model for insulin resistance (HOMA-IR), and lipid profiles were assessed in 56 women (mean age: 30.7 ± 6.9) suffering from POI diagnosed according to European Society of Human Reproduction and Embryology (ESHRE) criteria and 68 healthy age-and-weight matched women (mean age: 27.3 ± 4.5).
RESULTS
After regression analysis with BMI and age correction, total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) serum concentrations were found to be significantly higher in the POI group, when compared to healthy subjects, whilst triglycerides, glucose, insulin serum concentrations, HOMA-IR, as well as systolic (SBP) and diastolic blood pressure (DBP) did not differ significantly between both groups. A significant positive correlation was identified between TC and LDL-C levels, regardless of BMI and age, whilst SBP correlated only with serum glucose concentration. Additionally, FSH correlated positively with fasting serum glucose concentration after BMI and age correction.
CONCLUSIONS
Certain metabolic parameters appeared to correlate with POI and these correlations persisted after correction for BMI and age. More research is required to determine the influence of absent ovulatory function on metabolic profiles in POI women. This information may additionally help in early identification of CVD risk factors in those patients.
