Can biomarkers identified from the uterine fluid transcriptome be used to establish a noninvasive endometrial receptivity prediction tool? A proof-of-concept study

Can biomarkers identified from the uterine fluid transcriptome be used to establish a noninvasive endometrial receptivity prediction tool? A proof-of-concept study

Abstract Background Embryo implantation in a receptive endometrium is crucial for successful pregnancy. Endometrial receptivity (ER) prediction tools based on endometrial transcriptome biomarkers by endometrial biopsy have been used to guide successful embryo implantation in in vitro fertilization (...

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Bibliographic Details
Main Authors: Aihua He, Hong Wu, Yangyun Zou, Cheng Wan, Jing Zhao, Qiong Zhang, Nenghui Liu, Donge Liu, Yumei Li, Jing Fu, Hui Li, Xi Huang, Tianli Yang, Chunxu Hu, Zhaojuan Hou, Yue Sun, Xin Dong, Jian Wu, Sijia Lu, Yanping Li
Format: Article
Language:English
Published: BMC 2023-02-01
Series:Reproductive Biology and Endocrinology
Subjects:
Endometrial receptivity
Window of implantation
Transcriptomic profiling
Machine learning
Random forest algorithm
Noninvasive biomarker
Online Access:https://doi.org/10.1186/s12958-023-01070-0

Internet

https://doi.org/10.1186/s12958-023-01070-0

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