Notice bibliographique
Résumé
Recurrent miscarriage (RM) is defined as three consecutive pregnancy failures and is estimated to affect ~1% of couples trying to conceive. The cause of RM remains unknown in approximately 50% of cases. In this study, it was hypothesized that some of the underlying factors yet to be discovered are genetic. The aim was to search for mutations in genes AMN, EPCR, TM, and p53 known to cause miscarriage in mouse models and thereby find new genetic causes for unexplained miscarriages in humans. In addition, the mitochondrial genome was studied because mitochondria are involved in processes important in early development. Furthermore, sex chromosome characteristics suggested to underlie miscarriage were also studied. A total of 40 couples and 8 women with unexplained RM were collected for this study and screened for mutations in the candidate genes. Six interesting exonic or potential splice site disrupting variations were detected. However, their phenotypic effects cannot be determined without further investigations. Additionally, an association between the C11992A polymorphism of the p53 gene and RM was detected. The results indicate that women carrying the C/A or A/A genotype have a two-fold higher risk for RM than women with a C/C genotype. This strengthens the results of previous studies reporting that p53 sequence variations may cause miscarriage. The role of variation C11992A in embryonic development is, however, difficult to predict without further studies When screening the mitochondrial genome a heteroplasmic mtDNA variation was found in an unexpected high number of women, as heteroplasmic variations are reported to be rare. One novel variation and 18 previously reported polymorphisms were detected in the mitochondrial genome. Although the detected variations are likely to be neutral polymorphisms, a role in the aetiology of miscarriage cannot be excluded as some mtDNA variations may be pathogenic only when a threshold is reached. Recent publications have reported skewed X chromosome inactivation and Y chromosome microdeletions to be associated with RM. Therefore, these sex chromosome abnormalities in the context of RM were investigated. No associations between skewed X chromosome inactivation or Y chromosome microdeletions and RM in the Finnish patients were detected. Data on ancestral birthplaces of the patients were collected to study any possible geographic clustering, which would indicate a common predisposing factor. The results showed clustering of the birthplaces in eastern Finland in a subset of patients. This suggests a possibility of an enriched susceptibility gene which may contribute to RM.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,000 | 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) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».