IC‐P‐158: GENETIC AND ENVIRONMENTAL FACTORS ARE DIFFERENTIALLY RELATED TO Aβ BURDEN IN THE PRESYMPTOMATIC PHASE OF AUTOSOMAL DOMINANT AND SPORADIC ALZHEIMER'S DISEASE
Notice bibliographique
Résumé
Autosomal dominant Alzheimer's disease (ADAD) is considered as a model of preclinical sporadic Alzheimer's disease (sAD), since estimated years from symptom onset (EYO) can be derived in presymptomatic mutation carriers, taking parental age at symptom onset as a reference (Bateman et al., 2012). However, whether the preclinical phase of the disease is comparable between the two variants remains unclear. Our objective is to evaluate if factors known to affect Aβ trajectories in presymptomatic ADAD mutation carriers also affect asymptomatic individuals with a parental history (PH) of sAD, and vice-versa. Aβ-PET scans were collected using 11C-PIB in 114 presymptomatic ADAD mutation carriers (DIAN study; age=35.62±9.30) and 18F-NAV4694 in 82 asymptomatic individuals with a PH of sAD (PREVENT-AD cohort; age=66.51±4.63). General linear models were used to test in each cohort the effect of i) EYO (parent's age at symptom onset – participant's age at assessment) and ii) apolipoproteinE4 [APOE4], education (i.e. years of schooling) and their interaction on Aβ burden (mean neocortical SUVR). Analyses were controlled for age, gender and, for ADAD, mutation type (APP/presenilin1/presenilin2). EYO was related to increased Aβ burden in both cohorts (Figure 1). In asymptomatic individuals with a PH of sAD, we found an effect of APOE4 status, education, and an APOE4*education interaction, such that the protective effect of education was stronger in APOE4 carriers (Figure 2). In presymptomatic ADAD, APOE4 had no effect on Aβ accumulation, but completing higher levels of education were associated with lower Aβ burden. Complementary analysis in ADAD highlighted an education*mutation type interaction, indicating a stronger effect of education in presenilin carriers (Figure 2). Aβ accumulation as a function of the estimated years to symptoms onset (EYO) in presymptomatic autosomal dominant AD (ADAD) mutation carriers (left panel) and asymptomatic individuals with a parental history of sporadic(s) AD (right panel). EYO is associated with Aβ accumulation in the two cohorts. Solid lines represent estimated regression lines, while dotted lines represent 95% confidence intervals. Statistical values were obtained using partial correlations, controlling for age, gender and, in ADAD, mutation type. Gene * Education interaction on Aβ burden in presymptomatic autosomal dominant AD (ADAD) mutation carriers and asymptomatic individuals with a parental history of sporadic (s) AD. Education, but not apolipoprotein E (APOE)4, was related to Aβ burden in presymptomatic ADAD. Complementary analyses showed an Education * Mutation type interaction, such that the effect of education was present only in presenilin carriers (left panel). The APOE4 * Education interaction was significant in individuals at risk of sAD, such that the effect of education was present only in APOE4 carriers (right panel). Solid lines represent estimated regression lines, while dotted lines represent 95% confidence intervals. Statistical values were obtained from general linear models, controlling for age, gender and Mini Mental State. APOE4 homozygous carriers (n=1 in each cohort) were removed from these analyses. Our results suggest that a sporadic parental EYO might help to predict Aβ accumulation in preclinical sAD. While APOE4 is highly associated with Aβ burden in people at risk of sAD, APOE4 has no impact in ADAD. By contrast, environmental factors, approximated here using education, could affect biomarker progression in both variants of the disease, suggesting the existence of reserve mechanism both in individuals at risk of sAD and ADAD mutation carriers.
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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 | 0,000 | 0,001 |
| 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) | 0,002 | 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 ».