1. Ploidy results distribution in blastocysts derived from normally and abnormally fertilized oocytes and the correlation with time-lapse assessment.
- Author
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Girardi, L., Patassini, C., Valenciano, J. Miravet, Sato, Y., Cagnin, N. Fagundes, Castellón, J.A., Blesa, D., Almazan, J. Jimenez, Akinwole, A., Coprerski, B., and Rubio, C.
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PLOIDY , *OVUM , *BLASTOCYST , *HAPLOIDY , *FISHER exact test - Abstract
In the in vitro fertilization (IVF) setting, oocytes normally undergo assessment through pronuclear (PN) examination at 16-18 hours post-insemination. At this stage the PN status can identify proper fertilization and predict embryo ploidy constitution. Atypical PN patterns (like 0PN, 1PN, or more than 2PN) associate with ploidy abnormalities, while 2PN outlines a normal diploid composition. However, recent developments in preimplantation genetic testing (PGT) supports embryo ploidy level evaluation, giving a genetic perspective in normal and abnormal fertilization. The study focused on revealing ploidy results distribution in embryos derived from normally and abnormally fertilized oocytes highlighting how time-lapse incubators influenced fertilization assessment and ploidy correlation. Multi-center international study involving consenting patients undergoing PGT with ploidy analysis. Embryo culture was performed in standard or EmbryoScope™ time-lapse incubator (Vitrolife) until blastocyst stage. Trophectoderm biopsies were performed according to standard IVF practice, irrespective of PN configuration. Genetic ploidy assessment was performed using a validated targeted-NGS approach composed of a custom panel of 357 SNPs and a proprietary pipeline of analysis based on SNPs allele frequencies. Categorical variables were expressed in percentages and compared using the Chi-square or Fisher exact test. We first obtained genetic ploidy results on a large dataset of abnormally fertilized embryos (n=313). 0PN-derived embryos showed ploidy abnormalities in only 12.7% of cases (n=16/126;95%CI=7.44-19.80). 1PN-derived embryos were haploid and triploid in 50.4% (n=61/121;95%CI=41.18-59.63) and 7.4% (n=9/121;95%CI=3.46-12.65) of cases respectively. Regarding embryos with additional PN, 3PN displayed a polyploid constitution in 70.8% (n=34/48;95%CI=55.94-83.05) of cases, while 2.1PN only in 33.3% (n=6/18;95%CI=13.34-59.01). The remaining were diploids. Interestingly, NGS-based ploidy evaluation of 4593 presumed normally fertilized embryos revealed 3.0% ploidy abnormalities: 0.8% (n=39/4593;95%CI=0.60-1.16) displayed haploidy and 2.2% (n=99/4593;95%CI=1.76-2-62) triploidy. Finally, in a subset of 39 zygotes with abnormal PN number confirmed by time-lapse, the accuracy in predicting the correspondent abnormal ploidy status significantly increased to 84.6% (n=33/39;95%CI=69.47-94.14) compared to 28.9% in static/unknown observation (n=74/256;95%CI=23.44-34.88) (p<0.01). PN morphological assessment is not sufficient to uniquely predict embryo ploidy constitution. Incorporate genetic ploidy analysis is essential to rescue true diploids and exclude triploids and haploids from transfer. Patient reproductive counselling can benefit from the meaningful data we generated. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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