Zona pellucida shear modulus, a possible novel non-invasive method to assist in embryo selection during in-vitro fertilization treatment

Author:

Priel Elad,Priel Tsvia,Szaingurten-Solodkin Irit,Wainstock Tamar,Perets Yuval,Zeadna Atif,Harlev Avi,Lunenfeld Eitan,Levitas Eliahu,Har-Vardi IrisORCID

Abstract

AbstractThe present study investigated the association between oocyte zona pellucida shear modulus (ZPSM) and implantation rate (IR). Ninety-three oocytes collected from 38 in-vitro fertilization patients who underwent intracytoplasmic sperm injection were included in this case–control study. The ZP was modeled as an isotropic compressible hyperelastic material with parameter $$C_{10}$$ C 10 , which represents the ZPSM. Computational methodology was used to calculate the mechanical parameters that govern ZP deformation. Fifty-one developed embryos were transferred and divided into two groups—implanted and not implanted. Multivariate logistic regression analysis was performed to identify the association between ZPSM and IR while controlling for confounders. Maternal age and number of embryos per transfer were significantly associated with implantation. The IR of embryos characterized by $$C_{10}$$ C 10 values in the range of 0.20–0.40 kPa was 66.75%, while outside this range it was 6.70%. This range was significantly associated with implantation (p < 0.001). Geometric properties were not associated with implantation. Multivariate logistic regression analysis that controlled for relevant confounders indicated that this range was independently associated with implantation (adjusted OR 38.03, 95% confidence interval 4.67–309.36, p = 0.001). The present study suggests that ZPSM may improve the classic embryo selection process with the aim of increasing IR.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Profiling oocytes with neural networks from images and mechanical data;Journal of the Mechanical Behavior of Biomedical Materials;2023-02

2. Quantifying stiffness and forces of tumor colonies and embryos using a magnetic microrobot;Science Robotics;2023-01-25

3. Issledovanie vliyaniya mikrodissekcii blestyashchej obolochki embrionov mlekopitayushchih na ee tolshchinu;Вестник Российского государственного медицинского университета;2023-01

4. Assessment of the zona pellucida microdissection on its thickness in mammalian embryos;Bulletin of Russian State Medical University;2023-01

5. Oocyte quality evaluation: a review of engineering approaches toward clinical challenges;Biology of Reproduction;2022-12-10

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