APOE-ε4 is not associated with pure-tone hearing thresholds, visual acuity or cognition, cross-sectionally or over 3 years of follow up in the Canadian Longitudinal Study on Aging
Notice bibliographique
Résumé
Hearing loss and diminished visual acuity are associated with poorer cognition, but the underlying mechanisms are not understood. The apolipoprotein (APOE) ε4 allelic variant may drive the associations. We tested whether APOE-ε4 allele count (0, 1, or 2) was associated with declines in memory, executive function, pure-tone hearing threshold averages, and pinhole-corrected visual acuity among participants in the Canadian Longitudinal Study on Aging (CLSA). Methods: Multivariable linear mixed regression models were utilized to assess associations between APOE-ε4 allele count and each of the outcome variables. For each main effects model, interactions between APOE-ε4 and sex and age group (45-54-, 55-64-, 65-74-, and 75-85 years) respectively, were analyzed. Results: Significant associations were not observed in main effects models. Models including APOE-ε4*age (but not APOE-ε4*sex) interaction terms better fit the data compared to main effects models. In age group-stratified models, however, there were minimal differences in effect estimates according to allele count. Conclusions: APOE-ε4 allele count does not appear to be a common cause of sensory-cognitive associations in this large cohort. Hearing loss and vision loss are independently and jointly associated with faster rates of cognitive decline. Identifying mechanisms underlying sensory-cognitive associations is a research priority and is needed to inform public health efforts to reduce cognitive decline. Sensory impairment is highly prevalent and treatable, and if a cause-and-effect relationship exists with cognitive decline, treating sensory impairments could reduce rates of cognitive decline with age. On the other hand, if sensory-cognitive associations are the result of a common cause (e.g., a genetic predisposition for both sensory and cognitive impairment), then interventions aimed at reducing sensory loss would not be expected to have beneficial effects on cognition. The apolipoprotein E (APOE)-ε4 allele variant is associated with neurological diseases (e.g., Alzheimer’s disease) and non-neurological diseases (e.g., atherosclerosis). APOE-ε4 could be a common factor underlying associations between sensorineural losses and cognitive decline, but links between APOE-ε4 and both hearing and vision in the general population remain under-studied. Furthermore, the association between APOE-ε4 and cognition in healthy individuals is not as clear as the link between APOE-ε4 and Alzheimer’s disease. Therefore, we aimed to determine if APOE-ε4 allele count (the explanatory variable) was associated with differences in baseline and 3-year change in executive function, memory, pure-tone hearing thresholds, and visual acuity (the outcome variables). A secondary analysis of data collected in the Canadian Longitudinal Study on Aging (CLSA) was performed using data from two time points 3 years apart. Participants, aged 45-85 years, were recruited from 11 cities across Canada. Composite scores for executive function and memory were developed from five tests of cognition. Bilateral air-conduction pure-tone threshold averages and pinhole-corrected visual acuity in the better-seeing eye were used to measure hearing and vision, respectively. Linear mixed regression models assessed associations between APOE-ε4 allele count (as a categorical variable with 0 as the reference) and a.) baseline differences and b.) 3-year declines in each of the four outcome variables. Multivariable models adjusted for age, education, sex, race, heart disease, stroke, hypertension and diabetes. Interactions between APOE-ε4 and age group (45-54, 55-64, 65-74, and 75-85 years) and APOE-ε4 sex were tested. There were 27,765 participants in the CLSA comprehensive cohort but only 11,296 had complete data and were included. Individuals with complete data were more likely to be younger and healthier than those with partially missing data. In main effects models, APOE-ε4 was not associated with any of the sensory or cognitive outcome measures, either in terms of differences in baseline values or change over time. Regression models including the APOE-ε4*age interaction term (but not the APOE-ε4*sex interaction term) better fit the data than the corresponding main effects models. In age-stratified analyses most associations between APOE-ε4 and the outcome variables were still not significant. The exceptions were as follows: Two ε4 alleles predicted better baseline executive function in the 55-64 year old age group, and better baseline pure-tone average in the 45-54 year old age group. In the 65-74 year-old age group, one ε4 allele predicted worsening in visual acuity over time, whereas two ε4 alleles predicted improvements. APOE-ε4 allele count was not associated with poorer executive function, memory, pure-tone hearing thresholds or visual acuity, at baseline or over 3 years of follow-up, among a population-based sample of healthy 45-85 year old Canadians. Thus, the study does not support the hypothesis that APOE-ε4 is a common cause underlying associations between hearing or vision loss (respectively) and declines in each of executive function and memory.
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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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».