A novel platform for discovery of differentially expressed microRNAs in patients with repeated implantation failure

被引:27
|
作者
Chen, Ching Hung [1 ,2 ,3 ]
Lu, Farn [2 ,3 ]
Yang, Wen Jui [2 ,3 ]
Yang, Pok Eric [4 ]
Chen, Wei Ming [4 ]
Kang, Shih Ting [4 ]
Huang, Yu Shan [4 ]
Kao, Yi Chi [4 ]
Feng, Chi Ting [4 ]
Chang, Po Chang [4 ]
Wang, Tiffany [4 ]
Hsieh, Chi An [3 ]
Lin, Yu Chun [3 ]
Huang, Jack Yu Jen [2 ,3 ,5 ]
Wang, Lily Hui-Ching [1 ,6 ]
机构
[1] Natl Tsing Hua Univ, Inst Mol & Cellular Biol, Hsinchu, Taiwan
[2] Ton Yen Gen Hosp, Dept Obstet & Gynecol, Hsinchu, Taiwan
[3] Ctr Reprod Med & Infertil, Taiwan IVF Grp, Hsinchu, Taiwan
[4] Quark Biosci Inc, Hsinchu, Taiwan
[5] Stanford Univ, Dept Obstet & Gynecol, Div Reprod Endocrinol & Infertil, Stanford, CA 94305 USA
[6] Natl Tsing Hua Univ, Dept Med Sci, Hsinchu, Taiwan
关键词
Endometrial receptivity; infertility; microRNA; PanelChip; repeated implantation failure; HUMAN ENDOMETRIAL RECEPTIVITY; EMBRYO-TRANSFER; WINDOW; MECHANISM; CYCLES; ARRAY;
D O I
10.1016/j.fertnstert.2021.01.055
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Objective: To identify predictor microRNAs (miRNAs) from patients with repeated implantation failure (RIF). Design: Systemic analysis of miRNA profiles from the endometrium of patients undergoing in vitro fertilization (IVF). Setting: University research institute, private IVF center, and molecular testing laboratory. Patient(s): Twenty five infertile patients in the discovery cohort and 11 patients in the validation cohort. Interventions(s): None. Main Outcome Measure(s): A signature set of miRNA associated with the risk of RIF. Result(s): We designed a reproductive disease-related PanelChip to access endometrium miRNA profiles in patients undergoing IVF. Three major miRNA signatures, including hsa-miR-20b-5p, hsa-miR-155-5p, and hsa-miR-718, were identified using infinite combination signature search algorithm analysis from 25 patients in the discovery cohort undergoing IVF. These miRNAs were used as biomarkers in the validation cohort of 11 patients. Finally, the 3-miRNA signature was capable of predicting patients with RIF with an accuracy >90%. Conclusion(s): Our findings indicated that specific endometrial miRNAs can be applied as diagnostic biomarkers to predict RIF. Such information will definitely help to increase the success rate of implantation practice. (Fertil Sterile 2021;116:181-8. (c) 2021 by American Society for Reproductive Medicine.)
引用
收藏
页码:181 / 188
页数:8
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