A5023290498- Reproductive System and Pregnancy
- Reproductive Physiology in Livestock
- Endometriosis Research and Treatment
- Neuroendocrine regulation and behavior
- Ovarian function and disorders
- Reproductive Biology and Fertility
- Gynecological conditions and treatments
- Assisted Reproductive Technology and Twin Pregnancy
- Ectopic Pregnancy Diagnosis and Management
Xiangya Hospital Central South University
2021-2024
Central South University
2021-2024
Abstract Background Window of implantation (WOI) displacement is one the endometrial origins embryo failure, especially repeated failure (RIF). An accurate prediction tool for receptivity (ER) extraordinarily needed to precisely guide successful implantation. We aimed establish an RNA-Seq-based test (rsERT) using transcriptomic biomarkers and evaluate benefit personalized transfer (pET) guided by this in patients with RIF. Methods This was a two-phase strategy comprising establishment...
Objective To evaluate the associations between homeostatic model assessment for insulin resistance (HOMA-IR) and pregnancy outcomes in non-dyslipidemic infertile women undergoing vitro fertilization/intracytoplasmic sperm injection-embryo transfer (IVF/ICSI-ET). Materials Methods This is a retrospective study involving 3,615 who attend to Reproductive Medicine Center of Xiangya Hospital, Central South University (CSU) January 2014 October 2021. Eligible participants were divided into three...
Embryo implantation in a receptive endometrium is crucial for successful pregnancy. Endometrial receptivity (ER) prediction tools based on endometrial transcriptome biomarkers by biopsy have been used to guide embryo vitro fertilization (IVF) patients. However, no reliable noninvasive ER method has established, and one greatly needed. We aimed identify from uterine fluid transcriptomic sequencing data establishing tool evaluate its clinical application potential patients undergoing IVF.The...
Abstract Background Accurate prediction for endometrial window of implantation (WOI) would maximize the effectiveness assisted reproductive technology. Previously, we have established a predictive model WOI (rsERT) by three-time points sampling from same patient at 48-hour intervals during one menstrual cycle. However, it is imperative to build modified rsERT single time point in order prevent multiple and collateral harm. Methods A two-phase study was conducted. In first phase, patients...