Prenatal exposure to genocide accelerates epigenetic aging in third- and fourth-generation clocks among young adults in Rwanda
Notice bibliographique
Résumé
Prenatal exposure genocide-related to trauma has been previously associated with increased morbidity. Whether the prenatal exposure to genocide and rape also impacts various aspects of biological regulation, including patterns of DNA methylation, remains unknown. The purpose of this study was to evaluate whether prenatal exposure to genocide-related trauma, including conception through rape, is associated with accelerated epigenetic aging, a molecular indicator of biological aging. We used a cross-sectional dataset to evaluate whether prenatal exposure to genocide or genocidal rape, among individuals conceived during the 1994 genocide against Tutsi in Rwanda were associated with differences in age acceleration in a range of clocks (first generation: Horvath and Hannum; second generation: PhenoAge; third generation: GrimAge and DunedinPace; and fourth generation: YingDamAge and YingAdaptAge), while taking into account exposure to adverse childhood experiences (ACEs). Participants were 24 years old during the time of data collection, and we enrolled 46 female and 45 male participants. Control participants were those of Rwandan descent who did not live in Rwanda during the genocide. We show that there are no differences in age acceleration observed with first- or second-generation age clocks. However, age acceleration was associated with prenatal exposure to extreme stress for all other clocks, with the greatest acceleration observed in the genocidal rape conception group. For the YingDamAge clock, acceleration effects were strengthened after the inclusion of ACEs. Our findings suggest that prenatal trauma exposure is associated with epigenetic age acceleration. Third and fourth-generation clocks may more accurately capture these relationships. Early life adverse experiences, including during prenatal development, are thought to reduce one’s lifespan. We evaluated whether mothers who experienced genocide related trauma during the 1994 genocide against Tutsi in Rwanda had children with faster biological aging. We measured biological aging using multiple epigenetic “clocks”, which calculates biological age, as opposed to chronological age, by looking at DNA changes across many genes. Our results showed that prenatal exposure to genocide-related trauma was associated with signs of faster aging for several epigenetic clocks. These findings suggest that supportive care and structural assistance for trauma-affected pregnant women and their children should be prioritized during human rights crises to mitigate these effects. Uwizeye et al. examine the association between epigenetic age and prenatal exposure to maternal stress related to genocide and genocidal rape. Findings reveal prenatal exposure to this type of maternal stress accelerates epigenetic aging and suggest that third and fourth-generation clocks more accurately capture these relationships.
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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 | 0,000 | 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 | 0,000 | 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) | 0,000 | 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 ».