Association between Anti-Müllerian Hormone and other biomarkers with ovarian function in polycystic ovarian syndrome of Iraqi women

Abstract

Objectives: The current study aimed to investigate the role of of Anti-Müllerian hormone and other hormonal biomarkers and insulin resistance in pathogenesis of polycystic ovarian syndrome of Iraqi women with various ages and BMI.
 Method: The sublects include 50 cases of polycystic ovarian syndrome obtained from gynecological and obstetric teaching hospital, Kerbala health directorate / Kerbala – Iraq and another 50 apparently healthy women as a control group. with age ranged between (18-37) years during the period from Dec. 2019 to June, 2020 which was divided into two groups depending upon their age; first group with age (18-27) years and the second with age (28-37) years, also they divided into three subgroups depending upon the body mass index, normal weight (18.5-24.9 kg/m2), overweight (25-29.9 kg/m2), obesity (30-34.9 kg/m2) and measurement of various hormonal levels were performed including LH, FSH, insulin, insulin resistance, total testosterone and anti-müllerian hormone.
 Results: A significant elevated levels of each of Anti-Müllerian hormone (AMH), insulin, LH, total testosterone, prolactin, fasting blood glucose, FBG and insulin resistance while, a non-significant differences was found in FSH levels in women with PCOS as compared with control group.
 Conclusion: A significant high levels of the all hormonal parameters including anti-müllerian hormone, LH, prolactin and total testosterone was found in women with PCOS as compared with the control, except the FSH values.

Relation of serum and follicular level of BMP15 with Oocyte quality, embryo grading and pregnancy rate

“…All of these efforts were used to predict female reproductive potential and they used for different female sexual activities and are investigated with their receptors in different female sexual system disorders affected. [6][7][8][9][10] These hormones are used to estimate growing follicles number in the ovary and to estimate and predict the response of ovaries to stimulation by gonadotropin. These biomarkers provide only an indirect evaluation of oocyte function and yield no information about quality of the oocyte, because they are not derived from the oocyte itself.…”