Literature DB >> 23540611

Is the nuclear status of an embryo an independent factor to predict its ability to develop to term?

Patricia Fauque1, Etienne Audureau, Roger Leandri, Lucie Delaroche, Stéphanie Assouline, Sylvie Epelboin, Pierre Jouannet, Catherine Patrat.   

Abstract

OBJECTIVE: To determine the prognostic impact of the embryo nuclear status at day 2 among other major morphologic parameters (first cleavage at day 1, number of blastomeres and anuclear fragmentation at day 2) on the birth rate.
DESIGN: Retrospective study.
SETTING: Hospital IVF department. PATIENT(S): Women undergoing 1,629 day 2 transfers of 2,732 embryos from May 2006 to November 2008. INTERVENTION(S): Four groups according to the embryo nuclear status. MAIN OUTCOME MEASURE(S): Implantation, miscarriage, and birth rates. RESULT(S): Univariate analysis indicated significantly higher birth rates when all blastomeres were mononucleated (15.0%) compared with embryos with not all blastomeres mononucleated (9.2%), embryos without any visible nucleus (7.7%), and embryos where at least one blastomere was multinucleated (4.2%). Multivariate analysis found significant decreased birth rates when multinucleated blastomeres were observed. CONCLUSION(S): Blastomere nuclear status should be added to the kinetic and morphologic criteria traditionally used at day 2 to assess human embryo quality. The presence of multinucleated blastomeres has a negative impact on birth potential. The results argue for integrating the blastomere nuclear status at day 2 with the kinetic and morphologic criteria traditionally used to define the best embryo to transfer. Embryos with a single visible nucleus in all blastomeres should be given priority for transfer when available.
Copyright © 2013 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 23540611     DOI: 10.1016/j.fertnstert.2012.12.028

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  7 in total

1.  Selecting embryos with the highest implantation potential using data mining and decision tree based on classical embryo morphology and morphokinetics.

Authors:  Beatriz Carrasco; Gemma Arroyo; Yolanda Gil; Mª José Gómez; Ignacio Rodríguez; Pedro N Barri; Anna Veiga; Montserrat Boada
Journal:  J Assist Reprod Genet       Date:  2017-06-01       Impact factor: 3.412

2.  The association between multinucleated blastomeres and poor ovarian response under the Bologna criteria.

Authors:  Johnny S Younis; Vicky Yazdi; Ido Izhaki; Moshe Ben-Ami
Journal:  J Assist Reprod Genet       Date:  2016-05-12       Impact factor: 3.412

3.  The Vienna consensus: report of an expert meeting on the development of art laboratory performance indicators.

Authors: 
Journal:  Hum Reprod Open       Date:  2017-08-04

4.  Can novel early non-invasive biomarkers of embryo quality be identified with time-lapse imaging to predict live birth?

Authors:  J Barberet; C Bruno; E Valot; C Antunes-Nunes; L Jonval; J Chammas; C Choux; P Ginod; P Sagot; A Soudry-Faure; P Fauque
Journal:  Hum Reprod       Date:  2019-08-01       Impact factor: 6.918

5.  Nucleation status of Day 2 pre-implantation embryos, acquired by time-lapse imaging during IVF, is associated with live birth.

Authors:  Shabana Sayed; Marte Myhre Reigstad; Bjørn Molt Petersen; Arne Schwennicke; Jon Wegner Hausken; Ritsa Storeng
Journal:  PLoS One       Date:  2022-09-22       Impact factor: 3.752

6.  Developmental capacity and implantation potential of the embryos with multinucleated blastomeres.

Authors:  Akiyoshi Egashira; Nobuhiko Yamauchi; Keiko Tanaka; Chihiro Mine; Hitomi Otsubo; Masao Murakami; Md Rashedul Islam; Misako Ohtsuka; Naomi Yoshioka; Takashi Kuramoto
Journal:  J Reprod Dev       Date:  2015-09-04       Impact factor: 2.214

7.  Impact of embryo quality and endometrial thickness on implantation in natural cycle IVF.

Authors:  Vlatka Tomic; Miro Kasum; Katarina Vucic
Journal:  Arch Gynecol Obstet       Date:  2020-03-24       Impact factor: 2.344

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.