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Development of a Predictive Model for Optimization of Embryo Transfer Timing Using Blood-Based microRNA Expression Profile
by
Chuan, Shih-Ting
, Yang, Pok Eric
, Lin, Pei-Yi
, Chen, Ya-Fang
, Hsu, An
, Chen, Ming-Jer
, Yi, Yu-Chiao
, Wu, Ko-Wen
, Yang, Wen-Jui
, Kung, Hsiao-Fan
, Chen, Yu-Ling
, Chen, Ching-Hung
, Chen, Li-Yu
, Wang, Tiffany
, Guu, Hwa-Fen
, Chen, Kuan-Chun
, Chang, Jui-Chun
, Lu, Farn
, Huang, Jack Yu-Jen
in
Accuracy
/ Biomarkers
/ Cell cycle
/ Data analysis
/ Datasets
/ Embryonic development
/ Embryos
/ Endometrium
/ Ethylenediaminetetraacetic acid
/ Genes
/ Hormone replacement therapy
/ In vitro fertilization
/ MicroRNA
/ MicroRNAs
2023
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Development of a Predictive Model for Optimization of Embryo Transfer Timing Using Blood-Based microRNA Expression Profile
by
Chuan, Shih-Ting
, Yang, Pok Eric
, Lin, Pei-Yi
, Chen, Ya-Fang
, Hsu, An
, Chen, Ming-Jer
, Yi, Yu-Chiao
, Wu, Ko-Wen
, Yang, Wen-Jui
, Kung, Hsiao-Fan
, Chen, Yu-Ling
, Chen, Ching-Hung
, Chen, Li-Yu
, Wang, Tiffany
, Guu, Hwa-Fen
, Chen, Kuan-Chun
, Chang, Jui-Chun
, Lu, Farn
, Huang, Jack Yu-Jen
in
Accuracy
/ Biomarkers
/ Cell cycle
/ Data analysis
/ Datasets
/ Embryonic development
/ Embryos
/ Endometrium
/ Ethylenediaminetetraacetic acid
/ Genes
/ Hormone replacement therapy
/ In vitro fertilization
/ MicroRNA
/ MicroRNAs
2023
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Development of a Predictive Model for Optimization of Embryo Transfer Timing Using Blood-Based microRNA Expression Profile
by
Chuan, Shih-Ting
, Yang, Pok Eric
, Lin, Pei-Yi
, Chen, Ya-Fang
, Hsu, An
, Chen, Ming-Jer
, Yi, Yu-Chiao
, Wu, Ko-Wen
, Yang, Wen-Jui
, Kung, Hsiao-Fan
, Chen, Yu-Ling
, Chen, Ching-Hung
, Chen, Li-Yu
, Wang, Tiffany
, Guu, Hwa-Fen
, Chen, Kuan-Chun
, Chang, Jui-Chun
, Lu, Farn
, Huang, Jack Yu-Jen
in
Accuracy
/ Biomarkers
/ Cell cycle
/ Data analysis
/ Datasets
/ Embryonic development
/ Embryos
/ Endometrium
/ Ethylenediaminetetraacetic acid
/ Genes
/ Hormone replacement therapy
/ In vitro fertilization
/ MicroRNA
/ MicroRNAs
2023
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Development of a Predictive Model for Optimization of Embryo Transfer Timing Using Blood-Based microRNA Expression Profile
Journal Article
Development of a Predictive Model for Optimization of Embryo Transfer Timing Using Blood-Based microRNA Expression Profile
2023
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Overview
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.
Publisher
MDPI AG,MDPI
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