Literature DB >> 25567750

Diagnosis of human preimplantation embryo viability.

David K Gardner1, Marcos Meseguer2, Carmen Rubio3, Nathan R Treff4.   

Abstract

BACKGROUND: Transfer of more than a single embryo in an IVF cycle comes with the finite possibility of a multiple gestation. Even a twin pregnancy confers significant risk to both mother and babies. The move to single-embryo transfer for all patients will be greatly facilitated by the ability to quantify embryo viability. Developments in time-lapse incubation systems have provided new insights into the developmental kinetics of the human preimplantation embryo. Advances in molecular methods of chromosomal analysis have created platforms for highly effective screening of biopsied embryos, while noninvasive analysis of embryo physiology reveals more about the embryo than can be determined by morphology alone.
METHODS: Recent developments in time-lapse microscopy, molecular karyotyping and in proteomics and metabolomics have been assessed and presented here in a descriptive review. RESULTS AND
CONCLUSIONS: New algorithms are being created for embryo selection based on their developmental kinetics in culture, and the impact of factors such as patient etiology and treatment are being clarified. Potential links between morphokinetic data and embryo karyotype are being elucidated. The introduction of new molecular methods of determining embryo chromosomal complement is proving to be accurate and reproducible, with the future trending toward CGH arrays or next generation sequencing as a rapid and reliable means of analysis, that should be suitable for each IVF clinic to adopt. A relationship between embryo metabolism and viability is established and is now being considered together with morphokinetic data to create more robust algorithms for embryo selection. Microfluidic devices have the capacity and potential to be used in human IVF clinics for the routine diagnosis of embryo biomarkers.
© The Author 2015. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  chromosome; embryo viability; metabolism; selection; time lapse

Mesh:

Substances:

Year:  2015        PMID: 25567750     DOI: 10.1093/humupd/dmu064

Source DB:  PubMed          Journal:  Hum Reprod Update        ISSN: 1355-4786            Impact factor:   15.610


  51 in total

1.  Confirmation rates of array-CGH in day-3 embryo and blastocyst biopsies for preimplantation genetic screening.

Authors:  P Mir; E Mateu; A Mercader; R Herrer; L Rodrigo; M Vera; V Peinado; M Milán-Sánchez; I Campos-Galindo; S García-Herrero; C Simón; C Rubio
Journal:  J Assist Reprod Genet       Date:  2015-11-07       Impact factor: 3.412

Review 2.  Are computational applications the "crystal ball" in the IVF laboratory? The evolution from mathematics to artificial intelligence.

Authors:  Mara Simopoulou; Konstantinos Sfakianoudis; Evangelos Maziotis; Nikolaos Antoniou; Anna Rapani; George Anifandis; Panagiotis Bakas; Stamatis Bolaris; Agni Pantou; Konstantinos Pantos; Michael Koutsilieris
Journal:  J Assist Reprod Genet       Date:  2018-07-27       Impact factor: 3.412

3.  Euploid embryos selected by an automated time-lapse system have superior SET outcomes than selected solely by conventional morphology assessment.

Authors:  E Rocafort; M Enciso; A Leza; J Sarasa; J Aizpurua
Journal:  J Assist Reprod Genet       Date:  2018-07-20       Impact factor: 3.412

Review 4.  Next-generation molecular diagnosis: single-cell sequencing from bench to bedside.

Authors:  Wanjun Zhu; Xiao-Yan Zhang; Sadie L Marjani; Jialing Zhang; Wengeng Zhang; Shixiu Wu; Xinghua Pan
Journal:  Cell Mol Life Sci       Date:  2016-10-13       Impact factor: 9.261

5.  Exogenous growth factors do not affect the development of individually cultured murine embryos.

Authors:  Jason R Herrick; Alison F Greene-Ermisch; William B Schoolcraft; Rebecca L Krisher
Journal:  J Assist Reprod Genet       Date:  2017-12-21       Impact factor: 3.412

Review 6.  Microfluidic analysis of oocyte and embryo biomechanical properties to improve outcomes in assisted reproductive technologies.

Authors:  Livia Z Yanez; David B Camarillo
Journal:  Mol Hum Reprod       Date:  2017-04-01       Impact factor: 4.025

Review 7.  Acquisition of oocyte competence to develop as an embryo: integrated nuclear and cytoplasmic events.

Authors:  Marco Conti; Federica Franciosi
Journal:  Hum Reprod Update       Date:  2018-05-01       Impact factor: 15.610

8.  Blastulation of a zygote to a hatched blastocyst without any clear cell division: an observational finding in a time-lapse system after in vitro fertilization.

Authors:  N L Sandi-Monroy; S Musanovic; D Zhu; K Eibner; N Reeka; J Koglin; K Bundschu; F Gagsteiger
Journal:  J Assist Reprod Genet       Date:  2020-02-06       Impact factor: 3.412

9.  Egg cylinder development during in vitro extended embryo culture predicts the post transfer developmental potential of mouse blastocysts.

Authors:  Deirdre M Logsdon; Alison F Ermisch; Rebecca Kile; William B Schoolcraft; Rebecca L Krisher; Ye Yuan
Journal:  J Assist Reprod Genet       Date:  2020-02-18       Impact factor: 3.412

10.  Combined noninvasive metabolic and spindle imaging as potential tools for embryo and oocyte assessment.

Authors:  Tim Sanchez; Marta Venturas; S Ali Aghvami; Xingbo Yang; Seth Fraden; Denny Sakkas; Daniel J Needleman
Journal:  Hum Reprod       Date:  2019-12-01       Impact factor: 6.918

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