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Human Egg Maturity Assessment and Its Clinical Application
Published on: August 19, 2019
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MOL classification: a novel meiotic spindle scoring system for predicting human embryo development and ploidy
Nataliia Buderatska1, Juliia Gontar1, Arsenii Yurchuk2
1Medical Centre "IGR", Kyiv, Ukraine.
Journal of Assisted Reproduction and Genetics
|November 5, 2025
Summary
A new MOL scoring system accurately predicts human oocyte fertilization and embryo development potential. This system assesses the meiotic spindle (MS) in both fresh and cryopreserved oocytes, aiding assisted reproductive technologies.
Area of Science:
- Reproductive Biology
- Embryology
- Assisted Reproductive Technologies (ART)
Background:
- Assessing human oocyte quality is crucial for successful ART outcomes.
- The meiotic spindle (MS) is a key determinant of oocyte developmental potential.
- Predictive markers for embryological outcomes are needed for both fresh and cryopreserved oocytes.
Purpose of the Study:
- To develop and validate the Meiotic Spindle (MS) Morphology, Orientation, and Localization (MOL) scoring system.
- To assess the predictive value of the MOL system for embryological outcomes in fresh and cryopreserved human oocytes.
- To evaluate the impact of cryopreservation on MS characteristics and their predictive value.
Main Methods:
- Human oocytes were analyzed using polarized light microscopy.
- The MOL system, a three-digit code, was used to score MS Morphology, Orientation, and Localization.
- Oocytes were evaluated before and after cryopreservation, with changes recorded.
- Associations between MOL scores and fertilization/euploid blastocyst rates were analyzed.
Main Results:
- Cryopreservation induced alterations in MS morphology, orientation, and localization.
- Specific MOL scores strongly correlated with successful fertilization and chromosomally normal embryo development.
- Each MOL category variant demonstrated distinct predictive value for both fresh and cryopreserved oocytes.
Conclusions:
- The MOL scoring system offers a reliable method for predicting oocyte fertilization and embryo development potential.
- The MOL system is applicable to both fresh and cryopreserved oocytes, showing clinical value in ART.
- MOL data can support machine learning models for enhanced predictive accuracy in embryo selection.
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