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Blastulation time measured with time-lapse system can predict in vitro viability of bovine blastocysts
The objective of this study was to evaluate the time of blastulation monitored by time-lapse technology to predict in vitro viability of bovine blastocysts. This technology can be a powerful tool for bovine embryos selection with higher implantation capacity and competence. Also, in humans an early...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414680/ https://www.ncbi.nlm.nih.gov/pubmed/37561791 http://dx.doi.org/10.1371/journal.pone.0289751 |
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author | Huayhua, Carmen Rodríguez, Misael Vega, Jhorjhi Briones, Mario Rodriguez-Alvarez, Lleretny Mellisho, Edwin |
author_facet | Huayhua, Carmen Rodríguez, Misael Vega, Jhorjhi Briones, Mario Rodriguez-Alvarez, Lleretny Mellisho, Edwin |
author_sort | Huayhua, Carmen |
collection | PubMed |
description | The objective of this study was to evaluate the time of blastulation monitored by time-lapse technology to predict in vitro viability of bovine blastocysts. This technology can be a powerful tool for bovine embryos selection with higher implantation capacity and competence. Also, in humans an early blastulation is associated with higher quality and pregnancy rate. Cumulus oocyte complexes (COCs) were matured for 20 to 22 h and then fertilized by co-incubation of COCs and spermatozoa (10,000 sperm per oocyte) for 18 h. Presumptive zygotes were placed individually in microwells, in droplets of commercial culture medium. The Primo Vision TL system (EVO+; Vitrolife) 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) was recorded. After day 7.5, the blastocysts were in vitro culture for 48 h until day 9.5 after IVF to evaluate post hatching development. In vitro viability was evaluated at day 9.5: those with a diameter greater than 200 μm and a total cell count greater than 180 were classified as viable (value 1), while the rest were classified as non in vitro viable (value 0). The area under the ROC curve (AUC) was estimated to determine the predictive power of in vitro viability through blastulation time. 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 cut-off time to discriminate early or late blastulation was 149.8 h. The post-hatching development of the embryos with early blastulation was 63.3% (31/49), being statistically superior (p = 0.001) than the late blastulation group 14.9% (7/47). Likewise, the time of blastulation showed an accuracy of 90.8% (p < 0.001) in predicting in vitro viability of bovine blastocysts. In conclusion, the selection of blastocysts based on blastulation time (< 155 h) and blastocyst diameter measured on day 7.5 after IVF (> 180 μm) maximizes the in vitro viability. |
format | Online Article Text |
id | pubmed-10414680 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-104146802023-08-11 Blastulation time measured with time-lapse system can predict in vitro viability of bovine blastocysts Huayhua, Carmen Rodríguez, Misael Vega, Jhorjhi Briones, Mario Rodriguez-Alvarez, Lleretny Mellisho, Edwin PLoS One Research Article The objective of this study was to evaluate the time of blastulation monitored by time-lapse technology to predict in vitro viability of bovine blastocysts. This technology can be a powerful tool for bovine embryos selection with higher implantation capacity and competence. Also, in humans an early blastulation is associated with higher quality and pregnancy rate. Cumulus oocyte complexes (COCs) were matured for 20 to 22 h and then fertilized by co-incubation of COCs and spermatozoa (10,000 sperm per oocyte) for 18 h. Presumptive zygotes were placed individually in microwells, in droplets of commercial culture medium. The Primo Vision TL system (EVO+; Vitrolife) 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) was recorded. After day 7.5, the blastocysts were in vitro culture for 48 h until day 9.5 after IVF to evaluate post hatching development. In vitro viability was evaluated at day 9.5: those with a diameter greater than 200 μm and a total cell count greater than 180 were classified as viable (value 1), while the rest were classified as non in vitro viable (value 0). The area under the ROC curve (AUC) was estimated to determine the predictive power of in vitro viability through blastulation time. 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 cut-off time to discriminate early or late blastulation was 149.8 h. The post-hatching development of the embryos with early blastulation was 63.3% (31/49), being statistically superior (p = 0.001) than the late blastulation group 14.9% (7/47). Likewise, the time of blastulation showed an accuracy of 90.8% (p < 0.001) in predicting in vitro viability of bovine blastocysts. In conclusion, the selection of blastocysts based on blastulation time (< 155 h) and blastocyst diameter measured on day 7.5 after IVF (> 180 μm) maximizes the in vitro viability. Public Library of Science 2023-08-10 /pmc/articles/PMC10414680/ /pubmed/37561791 http://dx.doi.org/10.1371/journal.pone.0289751 Text en © 2023 Huayhua et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Huayhua, Carmen Rodríguez, Misael Vega, Jhorjhi Briones, Mario Rodriguez-Alvarez, Lleretny Mellisho, Edwin Blastulation time measured with time-lapse system can predict in vitro viability of bovine blastocysts |
title | Blastulation time measured with time-lapse system can predict in vitro viability of bovine blastocysts |
title_full | Blastulation time measured with time-lapse system can predict in vitro viability of bovine blastocysts |
title_fullStr | Blastulation time measured with time-lapse system can predict in vitro viability of bovine blastocysts |
title_full_unstemmed | Blastulation time measured with time-lapse system can predict in vitro viability of bovine blastocysts |
title_short | Blastulation time measured with time-lapse system can predict in vitro viability of bovine blastocysts |
title_sort | blastulation time measured with time-lapse system can predict in vitro viability of bovine blastocysts |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414680/ https://www.ncbi.nlm.nih.gov/pubmed/37561791 http://dx.doi.org/10.1371/journal.pone.0289751 |
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