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Enregistrement W4400297658 · doi:10.1093/humrep/deae108.867

P-527 Low sperm motility and elevated sperm DNA fragmentation index (DFI) are associated with increased rates of embryo aneuploidy in patients with advanced reproductive age

2024· article· en· W4400297658 sur OpenAlexaffabout
Rina Abramov, Mitko Madjunkov, Sergey I. Moskovtsev, Clifford Librach, Svetlana Madjunkova

Notice bibliographique

RevueHuman Reproduction · 2024
Typearticle
Langueen
DomaineMedicine
ThématiquePrenatal Screening and Diagnostics
Établissements canadiensSunnybrook HospitalUniversity of TorontoCReATe Fertility Centre
Organismes subventionnairesnon disponible
Mots-clésAneuploidyDNA fragmentationAndrologySpermEmbryoBiologySperm motilityGynecologyMedicineGeneticsApoptosisChromosomeProgrammed cell death

Résumé

récupéré en direct d'OpenAlex

Abstract Study question Is there a correlation between the paternal age, sperm characteristics, and the prevalence of chromosomal abnormalities in embryos generated through in vitro fertilization (IVF)? Summary answer A correlation exists between advanced paternal age, suboptimal sperm parameters, and elevated rates of embryo aneuploidy in individuals of advanced reproductive age. What is known already The exact mechanisms underlying the relationship between paternal age, sperm quality and embryo ploidy, although a subject of considerable research in assisted reproduction, are not fully elucidated. Some reports, including our group’s, suggest that paternal age may influence sperm quality and segmental embryo aneuploidy, while others suggest a potential association between high DFI(DNA Fragmentation Index) and an increased likelihood of embryo aneuploidy. Studies also show that sperm with optimal motility and fertilization competence are more likely to contribute to the development of euploid embryos, while data on the effect of abnormal sperm parameters on embryo ploidy is scarce and conflicting. Study design, size, duration This was a retrospective cohort study performed in the Reproductive Genetics Department, CReATe Fertility Centre, Toronto, Canada, between January 2019-December 2023. A total of 7628 blastocysts from 1512 cycles (1392 patients) were analyzed using high resolution NGS PGT-A. Sperm motility, concentration and DFI data, as well as, IVF cycle parameter data were collected. In addition, age of gamete providers and any relevant clinical, laboratory and demographic data were obtained for statistical analysis. Participants/materials, setting, methods Embryos were allocated into two groups by oocyte-provider age: OP-≤33 years and OP-≥34 years. Each group was divided into two sub-groups by paternal age: SP-≤39 years (n = 4570); SP-≥40 years (n = 3058). Multiple logistic/ordinal regressions were conducted to evaluate Segmental abnormalities and Segmental mosaicism between these age groups in relation to sperm DFI (GOOD ≤15%; FAIR 15-30%; POOR ≥30%), Motility (HIGH >40%; LOW <40%) and Count (LOW <5 mil/ml; MEDIUM 5-15 mil/ml; HIGH >15 mil/ml). Main results and the role of chance PGT-A analysis of 7628 embryos showed 51.5% euploidy, 36.7% aneuploidy and 11.8% mosaicism. In the OP-≤33 group, there were no significant differences between the two paternal age groups for euploidy, aneuploidy or mosaicism rates. In the OP-≥34 group, decreasing euploidy rates (p < 0.0001 and increasing aneuploidy rates (p < 0.0001) were observed between the two paternal age groups, while mosaicism rates were not different, an expected oocyte age-effect result. No significant differences in aneuploidy rates were observed for each of the sperm parameters (DFI, motility, count) in the groups of the OP-≤33 with SP-≤39, OP-≤33 with SP-≥40 and OP-≥34 with SP-≤39. In the group of OP-≥34 with SP-≥40, in patients with LOW motility vs. HIGH motility the aneuploidy rates were higher (56.8% vs.50.6%, p = 0.005) and euploidy rates were lower (33.8% vs.38.4%, p = 0.03). Each sperm parameter in each age group was further analyzed for chromosomal segmental abnormalities and segmental mosaicism. Higher rates of segmental abnormalities were seen in LOW motility groups with POOR-DFI compared to GOOD DFI in OP-≤33 with SP-≤39 (3.2% vs. 7.4%, p = 0.03). Limitations, reasons for caution The main limitation was the retrospective nature of this study; however, multiple regression analyses were conducted to limit potential bias by adjusting for sperm and oocyte characteristics. In addition, PGT-A analysis cannot provide information on origin of the aneuploidy and all conclusions are deduced from indirect associations to paternal age. Wider implications of the findings The identified associations could stimulate further research into exploring the molecular/cellular processes involved in fertilization, early embryonic development, and the potential impact of sperm-related factors on the chromosomal stability of developing embryos. The broader implications of these findings extend to clinical practice, patient counseling, technological advancements, and ethical considerations. 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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil0,692

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,013
Tête enseignante GPT0,262
Écart entre enseignants0,249 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2024
Routes d'admission2
Résumé présentoui

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