目的：通过比较let-7g、let-7f及let-7i在促排卵卵巢不同反应患者月经期血清中的表达情况,初步探讨let-7在预测卵巢反应的价值。方法：选取2014年3月—2015年11月于内蒙古医科大学附属医院生殖中心因输卵管因素或男方因素行体外受精-胚胎移植(in vitro fertilization-embryo transfer,IVF-ET)的不孕患者40例,卵巢高反应组14例、中反应组14例、低反应组12例。常规长方案促排卵,分别在月经第2天抽取外周血5 ml。采用实时荧光定量聚合酶链反应 (Quantitative real time polymerase chain reaction,qRT-PCR)方法,检测患者血清中let-7g、let-7f及let-7i的表达水平。结果：let-7g、let-7f及let-7i在中反应组患者血清中表达量最高,差异有统计学意义(P=0.014、P=0.001、P=0.008)；高反应组患者血清中let-7f的表达量高于低反应组患者,差异有统计学意义(P=0.028)；let-7g-5p、let-7i-5p在高反应组及低反应患者血清中的表达无显著差异(P=0.704、P=0.310)。结论：let-7g、let-7f及let-7i在卵巢中反应组患者血清中表达升高,提示不同卵巢反应的患者血清let-7的表达水平存在差异,可能对卵巢反应性的评估有一定预测价值。

Objective: To detect the expression of let-7g, let-7f and let-7i in basal serum of different ovarian response patients during menstrual period, preliminary discuss the value of let-7 in predicting ovarian response. Methods: 40 infertility patients with fallopian tube and male factors in vitro fertilization (IVF) were collected at reproductive center of Inner Mongolian Medical University affiliated Hospital from March 2014 to December 2015, including 14 high ovarian responders, 14 moderate responders and 12 poor responders, undergoing controlled ovarian hyperstimulation(COH). peripheral blood samples were collected at menstrual period. The expression of let-7g, let-7f and let-7i were detected by quantitative real time polymerase chain reaction. Results: qRT-PCR confirmed that, let-7g, let-7f and let-7i were expressed highest in moderate response patients basal serum(P=0.014,P=0.001,P=0.008); The expression of let-7f in high group was higher than that in poor group(P=0.028)and the let-7g and let-7i expression shows no significant difference among three groups (P=0.704、P=0.310).Conclusion: Let-7g, let-7f and let-7i were expressed highest in moderate response patients basal serum. It is suggests that let-7 expression level in basal serum were different among three ovarian response patients, and that might have any value in prediction of ovarian response.

国家自然科学基金（81560260），内蒙古自治区自然科学基金（2017MS0897,2017MS0366），中华医学会临床医学科研专项基金（2017）