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- Title
Development of a Predictive Model for Optimization of Embryo Transfer Timing Using Blood-Based microRNA Expression Profile.
- Authors
Chen, Ming-Jer; Hsu, An; Lin, Pei-Yi; Chen, Yu-Ling; Wu, Ko-Wen; Chen, Kuan-Chun; Wang, Tiffany; Yi, Yu-Chiao; Kung, Hsiao-Fan; Chang, Jui-Chun; Yang, Wen-Jui; Lu, Farn; Guu, Hwa-Fen; Chen, Ya-Fang; Chuan, Shih-Ting; Chen, Li-Yu; Chen, Ching-Hung; Yang, Pok Eric; Huang, Jack Yu-Jen
- Abstract
MicroRNAs (miRNAs) can regulate the expression of genes involved in the establishment of the window of implantation (WOI) in the endometrium. Recent studies indicated that cell-free miRNAs in uterine fluid and blood samples could act as alternative and non-invasive sample types for endometrial receptivity analysis. In this study, we attempt to systematically evaluate whether the expression levels of cell-free microRNAs in blood samples could be used as non-invasive biomarkers for assessing endometrial receptivity status. We profiled the miRNA expression levels of 111 blood samples using next-generation sequencing to establish a predictive model for the assessment of endometrial receptivity status. This model was validated with an independent dataset (n = 73). The overall accuracy is 95.9%. Specifically, we achieved accuracies of 95.9%, 95.9%, and 100.0% for the pre-receptive group, the receptive group, and the post-respective group, respectively. Additionally, we identified a set of differentially expressed miRNAs between different endometrial receptivity statuses using the following criteria: p-value < 0.05 and fold change greater than 1.5 or less than −1.5. In conclusion, the expression levels of cell-free miRNAs in blood samples can be utilized in a non-invasive manner to distinguish different endometrial receptivity statuses.
- Subjects
GENE expression; EMBRYO transfer; PREDICTION models; MICRORNA; ENDOMETRIUM; NUCLEOTIDE sequencing
- Publication
International Journal of Molecular Sciences, 2024, Vol 25, Issue 1, p76
- ISSN
1661-6596
- Publication type
Article
- DOI
10.3390/ijms25010076