ArticleReproductive biology and endocrinology : RB&E2023
Can biomarkers identified from the uterine fluid transcriptome be used to establish a noninvasive endometrial receptivity prediction tool? A proof-of-concept study.
Article in Reproductive biology and endocrinology : RB&E, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Multi-omics biomarkers in endometrial receptivity: from mechanisms to clinical translation.Journal of translational medicine · 2026Review
- Real-time intrauterine dissolved oxygen dynamics across the luteal phase: a potential non-invasive functional biomarker of endometrial status.Reproductive biology and endocrinology : RB&E · 2026Observational
- The uterine secretome initiates growth of gynecologic tissues in ectopic locations: re-evaluating the evidence.Pathology oncology research : POR · 2026Review
- Research progress on non-invasive testing of endometrial receptivity.Frontiers in reproductive health · 2026Review
- Non-Invasive Extracellular Vesicle Biomarkers in Endometriosis, Molecular Signatures Linking Pelvic Inflammation, Oocyte Quality, and IVF OutcomesCurrent issues in molecular biology · 2025Review
- Review
- Molecular subtype of recurrent implantation failure reveals distinct endometrial etiology of female infertility.Journal of translational medicine · 2025Article
- Observational
- Effect of Different Concentrations of PRP on the Expression of Factors Involved in the Endometrial Receptivity in the Human Endometrial Cells from RIF Patients Compared to the Controls.Reproductive sciences (Thousand Oaks, Calif.) · 2024Article
- The cervical transcriptome changes during the menstrual cycle but does not predict the window of implantation.Frontiers in reproductive health · 2023Article
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Authors and funding
20 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundEmbryo 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 (IVF) patients. However, no reliable noninvasive ER prediction method has been established, and one is greatly needed. We aimed to identify biomarkers from uterine fluid transcriptomic sequencing data for establishing noninvasive ER prediction tool and to evaluate its clinical application potential in patients undergoing IVF.
methodsThe non-invasive RNA-seq based endometrial receptivity test (nirsERT) was established by analyzing transcriptomic profile of 144 uterine fluid specimens (LH + 5, LH + 7, and LH + 9) at three different receptive status from 48 IVF patients with normal ER in combination with random forest algorithm. Subsequently, 22 IVF patients who underwent frozen-thaw blastocyst transfer were recruited and analyzed the correlation between the predicted results of nirsERT and pregnancy outcomes.
resultsA total of 864 ER-associated differentially expressed genes (DEGs) involved in biological processes associated with endometrium-embryo crosstalk, including protein binding, signal reception and transduction, biomacromolecule transport and cell-cell adherens junctions, were selected. Subsequently, a nirsERT model consisting of 87 markers and 3 hub genes was established using a random forest algorithm. 10-fold cross-validation resulted in a mean accuracy of 93.0%. A small cohort (n = 22) retrospective observation shows that 77.8% (14/18) of IVF patients predicted with a normal WOI had successful intrauterine pregnancies, while none of the 3 patients with a displaced WOI had successful pregnancies. One patient failed due to poor sequencing data quality.
conclusionsNirsERT based on uterine fluid transcriptome biomarkers can predict the WOI period relatively accurately and may serve as a noninvasive, reliable and same cycle test for ER in reproductive clinics.
trial registrationChinese Clinical Trial Registry: ChiCTR-DDD-17013375. Registered 14 November 2017, http://www.chictr.org.cn/index.aspx .
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