Citas bibligráficas
Huayhua, C., (2022). Momento de blastulación para seleccionar embriones viables monitoreada por tecnología Time - Lapse [Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/5549
Huayhua, C., Momento de blastulación para seleccionar embriones viables monitoreada por tecnología Time - Lapse []. PE: Universidad Nacional Agraria La Molina; 2022. https://hdl.handle.net/20.500.12996/5549
@misc{renati/1115603,
title = "Momento de blastulación para seleccionar embriones viables monitoreada por tecnología Time - Lapse",
author = "Huayhua Llacho, Carmen Patricia",
publisher = "Universidad Nacional Agraria La Molina",
year = "2022"
}
Traditionally, the selection of bovine embryos for transfer is based on their morphological characteristics, as it is simple and fast, however, qualitative values have a low precision to predict embryonic competence. Therefore, it is necessary to include measurements of objective and non-invasive traits to increase the accuracy of the selection method. The objective of this study was to evaluate the moment of blastulation monitored by time-lapse technology to select embryos with in vitro viability determined by post-hatching development. Cumulus oocyte complexes were matured for 23 hours and then fertilized by incubating COCs with sperm (10,000 sperm per oocyte) for 18 hours. Presumptive zygotes were placed individually in microwells, in droplets of commercial culture medium. The Primo Vision TL system (EVO+; Vitrolife, Gothenburg, Sweden) captured digital images of developing embryos every 15 minutes. The time frame from IVF to the start of blastulation (tSB) and to blastocyst development (tB) were recorded. Viable embryos were determined using an in vitro extended bovine embryo culture system up to day 9.5 (post-hatching development). The parameters to establish in vitro viability (day 9.5 after IVF) were: a diameter greater than 200 μm and a total blastocyst cell count greater than 190. To determine the predictive power of early (value 1) or late blastulation (value 0) the areas under the ROC curve (AUC) were estimated. In addition, binary logistic regression analysis was used to generate a mathematical model with morphokinetic variables that allow the best prediction of in vitro viability. In 13 sessions, the blastocyst production rate was 46.2% (96/208). The time cut-off point to discriminate as early or late blastulation was 149.8 h. The in vitro viability of the embryos with early blastulation was 63.3% (31/49), being statistically superior (p=0.001) to the late blastulation group 14.9% (7/47). Likewise, the time of blastulation showed an accuracy of 90.8% (95% CI, 0.833–0.983; P < 0.001) in predicting in vitro viability. In conclusion, the blastulation time allows predicting the in vitro viability of the bovine embryo.
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