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Purpose: We aimed to identify the correlation between morphological pronuclear (PN) status and the genetically determined ploidy configuration in preimplantation embryos.
Methods: A retrospective observational study was conducted on 1982 embryos displaying normal fertilization and 380 embryos showing an atypical PN pattern, tested for aneuploidies and ploidy status via preimplantation genetic testing (PGT) between May 2019 and May 2024. Ploidy prediction was performed using a validated targeted-NGS approach and a proprietary bioinformatic pipeline analyzing SNPs B-allele frequency information. Ploidy results were obtained in relation to the morphological PN pattern and further stratified by mode of PN observation, maternal age, and embryo quality parameters.
Results: Abnormal ploidy results in 2PN-derived embryos were 1% (n = 20/1982): 0.8% showed triploidy and 0.2% haploidy. Ploidy results in relation to PN number in atypical fertilization were as follows: 0PN (n = 150/380) associated with 87.3% of diploidy, 8.7% of haploidy, and 4.0% of triploidy; 1PN-derived blastocysts (n = 73/153) were haploid in 47.7% of cases, 6.5% were triploid, and 45.7% diploid; 2.1PN (n = 23/280) and 3PN patterns (n = 54/280) predicted a triploid result in 34.8% and 74.1% of cases, respectively. PN observation with time-lapse increased ploidy status predictivity from 28.3% to 80.4% (p < 0.01) and reduced expected diploid rates to 19.6% (p < 0.01). Diploidy rate was higher for maternal age ≤ 35 years and for morphologically high-grade embryos.
Conclusion: Morphological PN check can be improved by incorporating ploidy analysis within the conventional PGT workflow. Euploid 2PN-derived embryos can be further selected removing haploids and triploids, and some atypical PN pattern can be better classified.
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http://dx.doi.org/10.1007/s10815-024-03278-4 | DOI Listing |
JAMA Netw Open
September 2025
Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston.
Importance: Trisomy 13 (T13) and trisomy 18 (T18) are chromosomal abnormalities with high mortality rates in the first year of life. Understanding differences in long-term survival between children with full vs mosaic or partial trisomy is crucial for prognosis and health care planning.
Objective: To examine the differences in 10-year survival between children with full T13 and T18 vs those with mosaic or partial trisomy.
Plants (Basel)
August 2025
Forest Tree Genetics and Breeding Laboratory, College of Forestry, Hebei Agricultural University, Baoding 071001, China.
With the increasing severity of forest pest problems, breeding insect-resistant varieties has become a crucial task for the sustainable development of forestry. The highly insect-resistant triploid Populus line Pb29, genetically modified with , served as the maternal parent in controlled hybridization with three paternal Populus cultivars. Hybrid progenies were obtained through embryo rescue and tissue culture.
View Article and Find Full Text PDFGenes (Basel)
August 2025
IVIRMA Global Research Alliance, IVIRMA Roma, 00161 Rome, Italy.
Embryo selection in in vitro fertilization (IVF) aims to prioritize embryos with the highest reproductive potential. While preimplantation genetic testing for aneuploidy (PGT-A) remains the gold standard for identifying euploid embryos, it is invasive and not universally applicable. Deep learning (DL)-based models, such as the intelligent data analysis (iDA) score, have emerged as non-invasive alternatives for embryo assessment.
View Article and Find Full Text PDFReprod Biomed Online
March 2025
School of Natural Sciences, University of Kent, Canterbury, Kent, CT2 7NJ, UK; Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand; UCL EGA Institute for Women's Health, Preimplantation Genetics Group, 86-96
Research Question: Can embryologists reliably differentiate euploid from aneuploid embryos based on morphology alone, and can artificial intelligence (AI)-assisted selection, specifically using ERICA (Embryo Ranking Intelligent Classification Algorithm), improve embryo selection outcomes compared with embryologists alone?
Design: A training tool was developed and used in which 19 embryologists (comprising junior, intermediate and experienced practitioners) evaluated the ploidy status of embryo images. They were subsequently provided with rankings generated by ERICA for the same embryos and asked to make a final judgment combining both sources of information. Each embryologist conducted this process on between 20 to 150 simulated IVF cycles to assess performance in identifying euploid embryos.
Zygote
August 2025
Department of Medical Genetics, Near East University, Nicosia, Cyprus.
Recently, mathematical and computational approaches have been incorporated into ICSI interventions as guiding tools. However, those tools carry no prognostic potential. Improving this capability may enhance ICSI attempts and assist clinicians working in infertility clinics.
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