Jack Yu-Jen Huang
Research Subjects
Jack Yu-Jen Huang has a total of 18 co-authors. Here are the top co-authors by number of shared publications:
- An Hsu
Inti Labs, Hsinchu 302, Taiwan
1 shared publication - Ching-Hung Chen
National Tsing Hua University
1 shared publication - Farn Lu
Department of Infertility and Reproductive Medicine, Taiwan IVF Group Center, Hsinchu 30274, Taiwan
1 shared publication - Hsiao-Fan Kung
Division of Reproductive Endocrinology and Infertility, Department of Obstetrics, Gynecology & Women’s Health, Taichung Veterans General Hospital, Taichung 40764, Taiwan
1 shared publication - Hwa-Fen Guu
Division of Reproductive Endocrinology and Infertility, Department of Obstetrics, Gynecology & Women’s Health, Taichung Veterans General Hospital, Taichung 40764, Taiwan
1 shared publication - Jui-Chun Chang
Department of Obstetrics and Gynecology and Women’s Health, Taichung Veterans General Hospital, Taichung 407219, Taiwan
1 shared publication
Latest Publications
- Open Access
- 20 December 2023
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 25 (1) , 76
Development of a Predictive Model for Optimization of Embryo Transfer Timing Using Blood-Based microRNA Expression Profile
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.
- 20 December 2023
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 25 (1) , 76
Open AccessDevelopment of a Predictive Model for Optimization of Embryo Transfer Timing Using Blood-Based microRNA Expression Profile
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.