التفاصيل البيبلوغرافية
| العنوان: |
Brain‐age mediates the association between modifiable risk factors and cognitive decline early in the AD continuum |
| المؤلفون: |
Cumplido‐Mayoral, Irene, Brugulat‐Serrat, Anna, Sánchez‐Benavides, Gonzalo, Escalante, Armand González, Anastasi, Federica, Milà‐Alomà, Marta, Falcon, Carles, Shekari, Mahnaz, Cacciaglia, Raffaele, Minguillon, Carolina, Fauria, Karine, Molinuevo, Jose Luis, Suarez‐Calvet, Marc, Vilaplana, Verónica, Gispert, Juan Domingo |
| المصدر: |
Alzheimer's & Dementia ; volume 19, issue S10 ; ISSN 1552-5260 1552-5279 |
| بيانات النشر: |
Wiley |
| سنة النشر: |
2023 |
| المجموعة: |
Wiley Online Library (Open Access Articles via Crossref) |
| الوصف: |
Background Neuroimaging‐derived brain‐age is a useful biomarker to study the brain’s biological aging process. Brain‐age has shown cross‐sectional associations with cognitive function and modifiable risk factors for dementia. We aimed to study, in cognitively unimpaired (CU) individuals, the mediating role of brain‐age in the association between modifiable risk factors and cognitive changes, and the impact of AD pathology on this role. Method We included 416 CU individuals from the ALFA+ study with available structural MRI, measurements of the global cognitive Preclinical Alzheimer’s Cognitive Composite (PACC) (370 individuals had a follow‐up PACC assessment 3.28±0.27 years later), and lifestyle and cardiovascular risk factors assessments. We computed brain‐age delta as the difference between chronological and predicted brain‐age using a previously pre‐trained machine learning algorithm on structural MRI data. Partial Least Squares Path Modeling (PLS‐PM) was employed to investigate the mediation effect of brain‐age delta between a computed latent variable from modifiable risk factors (cardiovascular, mental health and mood, metabolic/endocrine disease history, and alcohol consumption factors; Table 1) and a latent variable from longitudinal PACC. Statistical bias adjustment was performed to control for the confounding effects of age and sex by using multiple linear regression. The analysis was performed on the whole sample (ALL) and after stratification by amyloid‐ß (Aß) status. Participants were classified as amyloid‐ß positive (Aß+) if CSF Aß42/40<0.071 (Milà‐Alomà et al, 2020). Significance of mediation was examined by 95% confidence interval bootstrap. Result The effect of risk factors (latent risk) on longitudinal cognition (latent cognition) was partially mediated by brain‐age delta only in Aß+ individuals (57.286%) (Figure 1C). Higher latent risk was associated with older brain‐age delta (p = 0.003) and older brain‐age delta was associated with worse latent cognition (p = 0.007). Conversely, ... |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
English |
| DOI: |
10.1002/alz.081797 |
| الاتاحة: |
http://dx.doi.org/10.1002/alz.081797 |
| Rights: |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
| رقم الانضمام: |
edsbas.2372BD66 |
| قاعدة البيانات: |
BASE |