Literature DB >> 28987788

Biomechanics and developmental potential of oocytes and embryos.

Jonathan Kort1, Barry Behr2.   

Abstract

The high incidence of multiple embryo transfers is evidence of the need for better methods of embryo selection. Additionally, methods to determine the reproductive competence of unfertilized oocytes are critically needed to inform the growing population of patients undergoing fertility preservation. The ideal method of oocyte and embryo selection would be noninvasive, inexpensive, and able to be incorporated into embryology workflow with minimal disruption. Methods to assess the biomechanical properties of cells offer many of these traits, and there is a growing body of evidence in multiple cell types demonstrating the biomechanical properties of cells are reflective of a cell's intrinsic health. The associations with these properties are not mere coincidence, as many of the biomechanical properties are critical to cellular function. The biomechanical properties of oocytes and embryos undergo a dynamic, characteristic transformation from oocyte maturation through blastocyst formation, lending itself to biomechanical assessment. Many of the assessments made by embryologists, from ease of microinjection during intracytoplasmic sperm injection to degree of blastocyst expansion, are direct proxies for cellular biomechanics. Newer, objective and quantitative methods of biomechanical assessment are being applied to oocyte and embryo selection, with early use supporting their application in assisted reproduction.
Copyright © 2017 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Oocyte; biomechanics; embryo selection; noninvasive

Mesh:

Substances:

Year:  2017        PMID: 28987788     DOI: 10.1016/j.fertnstert.2017.09.016

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


  5 in total

1.  Parallel-plate compression test for soft materials: confocal microscopy-assisted ferrule-top nanoindentation.

Authors:  Dexter Manalili; Massimiliano Berardi; Hilde Aardema; Konstantina Asimaki; Raymund Sarmiento; B Imran Akca
Journal:  Biomed Opt Express       Date:  2022-01-18       Impact factor: 3.732

Review 2.  Artificial intelligence in reproductive medicine.

Authors:  Renjie Wang; Wei Pan; Lei Jin; Yuehan Li; Yudi Geng; Chun Gao; Gang Chen; Hui Wang; Ding Ma; Shujie Liao
Journal:  Reproduction       Date:  2019-10       Impact factor: 3.906

3.  Assessing heterogeneity among single embryos and single blastomeres using open microfluidic design.

Authors:  Elisabet Rosàs-Canyelles; Andrew J Modzelewski; Alisha Geldert; Lin He; Amy E Herr
Journal:  Sci Adv       Date:  2020-04-22       Impact factor: 14.136

Review 4.  Scanning Probe Microscopies: Imaging and Biomechanics in Reproductive Medicine Research.

Authors:  Laura Andolfi; Alice Battistella; Michele Zanetti; Marco Lazzarino; Lorella Pascolo; Federico Romano; Giuseppe Ricci
Journal:  Int J Mol Sci       Date:  2021-04-07       Impact factor: 5.923

Review 5.  Biomechanics and mechanical signaling in the ovary: a systematic review.

Authors:  Jaimin S Shah; Reem Sabouni; Kamaria C Cayton Vaught; Carter M Owen; David F Albertini; James H Segars
Journal:  J Assist Reprod Genet       Date:  2018-04-24       Impact factor: 3.357

  5 in total

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