Using time lapse monitoring for determination of morphological defect frequency in feline embryos after in vitro fertilization (IVF)
Barbara Kij , Joanna Kochan , Agnieszka Nowak , Wojciech Niżański , Sylwia Prochowska , Karolina Fryc , Monika Bugno-Poniewierska
AbstractSome human, bovine, and mouse in vitro fertilized (IVF) embryos with morphokinetic abnormalities such as fragmentation, direct cleavage, and cytoplasmic vacuoles have the potential to reach the blastocyst stage, which is related to a high potential for implantation. The latest techniques of embryo development observation to enable the evaluation and selection of embryos are based on time lapse monitoring (TLM). The aim of this study was to determine the frequency of morphological defects in feline embryos, their competence to reach the blastocyst stage, and their ability to hatch. Oocyte–cumulus complexes were isolated after the scarification of ovaries and matured in vitro. Matured oocytes were fertilized in vitro by capacitated spermatozoa. Randomly selected oocytes were observed by TLM for seven-to-eight days. Out of 76 developed embryos, 41 were morphologically normal, of which 15 reached the blastocyst stage. Of 35 abnormally developed embryos, 17 reached the blastocyst stage, of which six had single aberrations and 11 had multiple aberrations. The hatching rate (%) was 15.6% in normally cleaving embryos, 6.25% in embryos with single aberrations, and 3.33% in those with multiple aberrations. The present study reports the first results, found by using TLM, about the frequency of the morphological defects of feline embryos, their competence to reach the blastocyst stage, and their ability to hatch.
|Journal series||Animals, ISSN 2076-2615, e-ISSN 2076-2615, (N/A 100 pkt)|
|Publication size in sheets||0.5|
|Keywords in English||cat; embryos; morphological disorders; time-lapse|
|License||Journal (articles only); published final; ; with publication|
|Score||= 100.0, 04-05-2020, ArticleFromJournal|
|Publication indicators||= 0; = 0; : 2018 = 1.148; : 2018 = 1.832 (2)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.