Correlation of IL-1 and HB-EGF with endometrial receptivity

Fluctuations of interleukin-1 (IL-1) and heparin-binding epidermal growth factor (HB-EGF) in endometrial receptivity were detected. Seventy-two patients receiving in vitro fertilization-embryo transfer (IVF-ET) for the first time in Yantaishan Hospital from July 2015 to September 2015 due to infertility were selected. The serum and follicular fluid of patients in ovulation-promoting cycle were collected; the levels of IL-1 and HB-EGF in serum and follicular fluid were detected via enzyme-linked immunosorbent assay (ELISA), and the levels of serum estradiol (E2), progesterone (P), follicle stimulating hormone (FSH) and luteinizing hormone (LH) were detected. The endometria in early follicular phase and middle luteal phase were collected, and the mRNA expression levels of IL-1 and HB-EGF were evaluated by reverse transcription quantitative polymerase chain reaction (RT-qPCR). Patients were divided into two groups, and the implantation group (n=33) and the non-implantation group (n=39), according to whether embryos were implanted and the general data. In IVF-ET, the levels of IL-1 and HB-EGF in follicular fluid and middle luteal phase, the level of serum IL-1 on human chorionic gonadotropin (HCG) day and embryo transfer (ET) day, the levels of E2, FSH and LH on HCG day in implantation group were obviously higher than those in non-implantation group (p<0.05); the level of P on ET day in implantation group was significantly higher than that in non-implantation group (p<0.05); the expression levels of IL-1 and HB-EGF in endometrium in middle luteal phase in implantation group were higher than those in non-implantation group (p<0.05); the expression levels of IL-1 and HB-EGF in endometrium were positively correlated with the levels of E2 and P, and endometrial thickness (p<0.05). IL-1 and HB-EGF may improve the endometrial receptivity to embryo, thus affecting the embryo implantation rate, through the synergistic action with E2 and P, so they may be the indexes of predicting the IVF-ET pregnancy outcome.