Evidence map›Paper›PMID 37561791›Full record

ArticlePloS one2023

Blastulation time measured with time-lapse system can predict in vitro viability of bovine blastocysts.

Carmen Huayhua, Misael Rodríguez, Jhorjhi Vega, Mario Briones, Lleretny Rodriguez-Alvarez, Edwin Mellisho

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Carmen HuayhuaCentro de Investigación en Tecnología de Embriones (CIETE), Animal Improvement Program, Universidad Nacional Agraria La Molina, Lima, Perú.ORCID 0000-0002-4170-0412
Misael RodríguezCentro de Investigación en Tecnología de Embriones (CIETE), Animal Improvement Program, Universidad Nacional Agraria La Molina, Lima, Perú.
Jhorjhi VegaCentro de Investigación en Tecnología de Embriones (CIETE), Animal Improvement Program, Universidad Nacional Agraria La Molina, Lima, Perú.
Mario BrionesDepartment of Animal Science, Faculty of Veterinary Sciences, Universidad de Concepción, Chillán, Concepción, Chile.ORCID 0000-0002-8721-257X
Lleretny Rodriguez-AlvarezDepartment of Animal Science, Faculty of Veterinary Sciences, Universidad de Concepción, Chillán, Concepción, Chile.
Edwin MellishoCentro de Investigación en Tecnología de Embriones (CIETE), Animal Improvement Program, Universidad Nacional Agraria La Molina, Lima, Perú.ORCID 0000-0001-7171-1991

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Embryo Culture TechniquesSemenAnimalsBlastocystCattleEmbryonic DevelopmentFemaleFertilization in VitroHumansMalePregnancyTime-Lapse Imaging

Identifiers

PMID37561791
PMCPMC10414680

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.