Literature DB >> 23563243

Quality control of embryo development.

Anna Ajduk1, Magdalena Zernicka-Goetz.   

Abstract

Although in recent years we have seen an undeniable improvement in the field of reproductive biology and medicine, the efficiency of in vitro fertilization (IVF) procedures remains relatively low, ranging from 4% to 40% depending on the patient's age. It is believed that this is in a large part caused by inaccurate assessment of embryo quality prior to transfer to mothers-to-be. Thus there is a strong need for further refinement of existing selection methods and development of novel, robust and, if only possible, non-invasive procedures to ensure that only embryos with the highest developmental potential are chosen for transfer. In the present review we compare various methods for assessing the quality of preimplantation embryos either currently used in IVF clinics or still to be tested. These methods include assessment of embryonic morphology, the genetic material, the transcriptomes of the oocyte and its accompanying follicular cells, and the embryo's metabolism. We discuss what information these parameters actually provide about the processes occurring in the embryo itself. We also present novel methods for selecting healthy embryos based on most recent advanced time-lapse imaging techniques, which show great promise and are likely to lead to increased in vitro fertilization efficiency.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Assisted reproduction technology (ART); Mammalian embryo; Metabolomics; Morphology grading; Preimplantation genetic diagnosis/screening (PGD/PGS); Time-lapse imaging

Mesh:

Year:  2013        PMID: 23563243     DOI: 10.1016/j.mam.2013.03.001

Source DB:  PubMed          Journal:  Mol Aspects Med        ISSN: 0098-2997


  18 in total

1.  Deposition of the spermatozoon in the human oocyte at ICSI: impact on oocyte survival, fertilization and blastocyst formation.

Authors:  A De Vos; M Abraham; N Franceus; P Haentjens; H Tournaye; G Verheyen; H Van de Velde
Journal:  J Assist Reprod Genet       Date:  2015-05-01       Impact factor: 3.412

2.  Blastomere biopsy for PGD delays embryo compaction and blastulation: a time-lapse microscopic analysis.

Authors:  Liron Bar-El; Yael Kalma; Mira Malcov; Tamar Schwartz; Shaul Raviv; Tania Cohen; Hadar Amir; Yoni Cohen; Adi Reches; Ami Amit; Dalit Ben-Yosef
Journal:  J Assist Reprod Genet       Date:  2016-10-01       Impact factor: 3.412

3.  Dynamic assessment of human sperm DNA damage I: the effect of seminal plasma-sperm co-incubation after ejaculation.

Authors:  Eva Tvrdá; Francisca Arroyo; Jaime Gosálvez
Journal:  Int Urol Nephrol       Date:  2018-06-20       Impact factor: 2.370

4.  Biodynamic imaging of live porcine oocytes, zygotes and blastocysts for viability assessment in assisted reproductive technologies.

Authors:  Ran An; Chunmin Wang; John Turek; Zoltan Machaty; David D Nolte
Journal:  Biomed Opt Express       Date:  2015-02-25       Impact factor: 3.732

5.  Improvement of Astragalin on Spermatogenesis in Oligoasthenozoospermia Mouse Induced by Cyclophosphamide.

Authors:  Qigang Fan; Zhongying Zhao; Qing Meng; Ruifeng He; Hongli Li; Meigui Zhang; Pu Gao; Xinlong Li; Yi Li; Qinying Zhu; Fengqin Shen; Lihui Zhao; Xiaolei Liang
Journal:  Reprod Sci       Date:  2021-11-30       Impact factor: 3.060

6.  Validation of Non-Invasive Preimplantation Genetic Screening Using a Routine IVF Laboratory Workflow.

Authors:  Ni-Chin Tsai; Yun-Chiao Chang; Yi-Ru Su; Yi-Chi Lin; Pei-Ling Weng; Yin-Hua Cheng; Yi-Ling Li; Kuo-Chung Lan
Journal:  Biomedicines       Date:  2022-06-11

7.  Effect of mesenchymal stem cells and mouse embryonic fibroblasts on the development of preimplantation mouse embryos.

Authors:  Vera Maria Peters; David C Spray; Rosalia Mendez-Otero
Journal:  In Vitro Cell Dev Biol Anim       Date:  2016-01-07       Impact factor: 2.416

8.  The total pregnancy potential per oocyte aspiration after assisted reproduction-in how many cycles are biologically competent oocytes available?

Authors:  J G Lemmen; N M Rodríguez; L D Andreasen; A Loft; S Ziebe
Journal:  J Assist Reprod Genet       Date:  2016-04-06       Impact factor: 3.357

9.  Ovary transcriptome profiling via artificial intelligence reveals a transcriptomic fingerprint predicting egg quality in striped bass, Morone saxatilis.

Authors:  Robert W Chapman; Benjamin J Reading; Craig V Sullivan
Journal:  PLoS One       Date:  2014-05-12       Impact factor: 3.240

10.  Non-Invasive Assessment of Viability in Human Embryos Fertilized in Vitro.

Authors:  Gábor L Kovács; Gergely Montskó; Zita Zrínyi; Nelli Farkas; Ákos Várnagy; József Bódis
Journal:  EJIFCC       Date:  2016-04-20
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