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Ploidy Manipulation of Zebrafish Embryos with Heat Shock 2 Treatment
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Symmetry at the 4-Cell Stage Is Associated with Embryo Aneuploidy
Chandra C Shenoy1, Zaraq Khan2, Charles C Coddington2
1Division of Reproductive Endocrinology and Infertility, Mayo Clinic, Rochester, MN, USA. chandrashenoy@gmail.com.
Reproductive Sciences (Thousand Oaks, Calif.)
|October 19, 2021
Summary
Quantitative embryo morphometrics from time-lapse imaging, specifically 4-cell stage symmetry, can predict aneuploidy. Incorporating these cleavage-stage measurements improves embryo selection models for better IVF outcomes.
Area of Science:
- Reproductive biology
- Embryology
- Genetics
Background:
- Preimplantation genetic testing for aneuploidy (PGT-A) is crucial for in vitro fertilization (IVF).
- Time-lapse imaging (TLI) offers non-invasive embryo assessment.
- Identifying reliable markers for aneuploidy beyond morphokinetics is essential.
Purpose of the Study:
- To investigate the association between quantitative morphometric parameters from TLI and embryo aneuploidy.
- To determine if specific morphometric measurements can predict aneuploidy.
Main Methods:
- Retrospective analysis of 182 embryos from 21 patients undergoing TLI and PGT-A.
- Morphokinetic analysis of cell division timing.
- Quantitative morphometric measurements including polar body distance, zona pellucida thickness, blastomere area, and 2-cell/4-cell stage symmetry.
- Receiver operating characteristic (ROC) curve analysis for aneuploidy prediction.
Main Results:
- While maternal age and blastocyst grade were associated with ploidy, 4-cell stage symmetry also showed a significant association (p=0.01).
- Euploid and aneuploid embryos exhibited similar morphokinetics and most morphometric parameters.
- An optimized ROC cutoff of 21% asymmetry at the 4-cell stage predicted high rates of aneuploidy.
Conclusions:
- Cleavage-stage morphometrics, particularly 4-cell stage symmetry, are valuable predictors of embryo aneuploidy.
- Embryo selection models utilizing TLI parameters can be enhanced by incorporating these quantitative morphometric measurements.
- This approach may improve IVF success rates by better identifying euploid embryos.
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