ASSESSMENT OF THE LEVEL OF ALPHA-2 MICROGLOBULIN OF FERTILITY AT THE SYSTEMIC AND TISSUE LEVELS AS AN INDICATOR OF THE FUNCTIONAL STATE OF THE ENDOMETRIUM
Objective: to determine the level of alpha-2 microglobulin of fertility in the serum and endometrium of female patients of reproductive age. Material and methods. 30 female patients of reproductive age were included in the study. According to the results of clinical and case history data, 20 (66.67 %) patients with reproductive dysfunction were included in the study group, 10 (33.33 %) healthy patients were included in the control group. The concentration levels of hormones (FSH, LH, testosterone, prolactin, estradiol, progesterone, fertility alpha-2 microglobulin) in the blood serum and the level of alpha-2 microglobulin of fertility in the endometrial tissue were determined by the method of enzyme immunoassay. Results. The female patients with reproductive dysfunction revealed changes in the concentration of sex hormones. The estradiol concentration was 0.22 (0.21-0.24) nmol/l in the study group of the patients, and 0.25 (0.24-0.28) nmol/l in the healthy patients (z = -3.37, p = 0.0007). The progesterone concentration was 9.57 (7.60-53.54) nmol/l in the study group of the patients and 5.37 (3.59-26.44) nmol/l in the healthy women (z = 1.78, p = 0.07). The level of alpha-2 microglobulin of fertility did not differ significantly in the patients of both the groups. The level of alpha-2 microglobulin of fertility in the endometrium was 0.87 (0.69-1.38) ng/ml in the female patients of the study group and 1.82 (1.38-5.81) ng/ml in the patients of the control group (z = -2.31, p = 0.02). Conclusion. The obtained results are indicative of the involvement of the endometrium in the development of reproductive dysfunction. The data on the levels of alpha-2 microglobulin of fertility in the endometrial tissue are promising for further study and determination of the boundaries of its normal values. Further research in this area will facilitate the development of a test to predict successful implantation.