P-073 Comparison of human preimplantation embryo development after sperm selection for ICSI using the microfluidic ZyMōt device versus density gradient centrifugation
Notice bibliographique
Résumé
Abstract Study question Does microfluidic sperm selection using ZyMōt device has a significant effect on blastocyst development, ploidy, and improves pregnancy outcomes when compared with density-gradient centrifugation. Summary answer The study demonstrated that sperm selection using a microfluidic device had no impact on euploid blastocyst rates or clinical pregnancy outcomes. What is known already Selecting competent spermatozoa with the highest genomic integrity for ICSI is a key to achieving normal embryo development and a healthy live birth. Several sperm preparation techniques have long been scrutinized with varied success. The novel microfluidic ZyMōt device appears promising for improving the quality of sperm used in Assisted Reproductive Technologies. Preliminary tests have shown that ZyMōt may increase sperm motility and considerably decrease DNA fragmentation, which could potentially enhance euploid blastocyst development rates. However, the impact of this sperm selection method on clinical outcomes has not been fully investigated. Study design, size, duration This is a retrospective cohort study performed in a single academic IVF centre (IRB # 16367). Data were collected from 1286 ICSI cycles in 2020-2021 (730 with ZyMōt and 556 with DGC), including 867 cycles with PGT-A outcomes. Morphological grading of 6640 blastocysts cultured in a time lapse imaging incubator (Embryoscope™) and ploidy of 4783 blastocysts using high resolution NGS (Illumina platform and Blue Gnome) were compared between the two study groups. Participants/materials, setting, methods All male partners were normo-spermic according to standard semen analysis. ICSI results for a total of 7277 mature oocytes injected with spermatozoa processed with ZyMōt device and 5977 oocytes injected with spermatozoa processed by gradient-density centrifugation were compared. For the analysis of 1478 euploid embryo transfer outcomes, all cases included a single blastocyst transferred in a frozen-thaw cycle. Associated patient characteristics, including age and fertility diagnosis were collected. Main results and the role of chance A significantly higher fertilization rate was observed with ZyMōt compared to the gradient prepared sperm (83.4% vs 81.0%, P = 0.0004, respectively). The blastocyst rates (61.3%, vs 60.4%, P = 0.34) as well as the proportion of high-quality blastocysts were similar in both groups (P = 0.20). Euploidy rates were not different between all female age groups, including young egg donors (≤ 30y of age) to patients with advanced maternal age (>40 y of age). Microfluidic sperm selection did not improve clinical pregnancy rates after euploid embryo transfer (42.9% vs 41.4%; P = 0.58). Limitations, reasons for caution Although this is the largest study to date evaluating application of the ZyMōt device, the retrospective nature and cohort design limited the interpretation of our results. The patient population did not include male factor cases and sperm DFI data was not available. Embryo transfer outcomes were limited to clinical pregnancies. Wider implications of the findings The ZyMōt device offers a convenient alternative to standard sperm processing by density gradient method. Further studies are needed to fully determined the impact of ZyMōt on embryo quality and clinical outcomes in different age and diagnosis groups of patients; particularly for those with high DFI and poor IVF/ICSI outcomes. Trial registration number not applicable
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».