Author:
Meltsov Alvin,Giacomini Elisa,Vigano Paola,Zarovni Natasa,Salumets Andres,Aleksejeva Elina
Abstract
AbstractResearch questionHow accurate is minimally invasive assessment of endometrial receptivity from uterine fluid extracellular vesicles (UF-EVs) using only 68 RNA biomarkers.Study designAssessment of endometrial receptivity by applying the beREADY computational model on transcriptomic data derived from UF-EVs during the pre-receptive (LH+2) and receptive phases (LH+7) of a natural cycle.ResultsbeREADY housekeeping gene transcript levels in UF-EV are not significantly different between LH+2 and LH+7 UF-EVs. Endometrial receptivity can be assessed from UF-EV transcriptomic data using beREADY computational model with specificity of 100% and sensitivity of 75%.ConclusionbeREADY computational model can be used on UF-EVs instead of endometrial tissue biopsy to assess endometrial receptivity. However, further development is needed to fine-tune the model to show that this model can also be used on UF-EV samples from women undergoing hormone-replacement therapy.
Publisher
Cold Spring Harbor Laboratory
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