Biomarkers and phenotypic expression in Alzheimer’s disease: exploring the contribution of frailty in the Alzheimer’s Disease Neuroimaging Initiative

被引:0
|
作者
Marco Canevelli
Ivan Arisi
Ilaria Bacigalupo
Andrea Arighi
Daniela Galimberti
Nicola Vanacore
Mara D’Onofrio
Matteo Cesari
Giuseppe Bruno
机构
[1] “Sapienza” University of Rome,Department of Human Neuroscience
[2] National Center for Disease Prevention and Health Promotion,Bioinformatics Facility
[3] Italian National Institute of Health,Neurodegenerative Diseases Unit
[4] European Brain Research Institute (EBRI) Rita Levi-Montalcini,Dino Ferrari Center
[5] Institute of Translational Pharmacology (IFT),Department of Biomedical, Surgical and Dental Sciences
[6] CNR,Genomics Facility
[7] Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico,Department of Clinical Sciences and Community Health
[8] University of Milan,Geriatric Unit
[9] University of Milan,undefined
[10] European Brain Research Institute (EBRI) Rita Levi-Montalcini,undefined
[11] University of Milan,undefined
[12] IRCCS Istituti Clinici Scientifici Maugeri,undefined
来源
GeroScience | 2021年 / 43卷
关键词
Alzheimer’s disease; Frailty; Biomarkers; Aging; Dementia;
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学科分类号
摘要
The present study aimed at investigating if the main biomarkers of Alzheimer’s disease (AD) neuropathology and their association with cognitive disturbances and dementia are modified by the individual’s frailty status. We performed a cross-sectional analysis of data from participants with normal cognition, mild cognitive impairment (MCI), and AD dementia enrolled in the Alzheimer’s Disease Neuroimaging Initiative 2 (ADNI2) study. Frailty was operationalized by computing a 40-item Frailty Index (FI). The following AD biomarkers were considered and analyzed according to the participants’ frailty status: CSF Aβ1-42, 181P-tau, and T-tau; MRI-based hippocampus volume; cortical glucose metabolism at the FDG PET imaging; amyloid deposition at the 18F-AV-45 PET imaging. Logistic regression models, adjusted for age, sex, and education, were performed to explore the association of biomarkers with cognitive status at different FI levels. Subjects with higher FI scores had lower CSF levels of Aβ1-42, hippocampus volumes at the MRI, and glucose metabolism at the FDG PET imaging, and a higher amyloid deposition at the 18F-AV-45 PET. No significant differences were observed among the two frailty groups concerning ApoE genotype, CSF T-tau, and P-tau. Increasing frailty levels were associated with a weakened relationship between dementia and 18F-AV-45 uptake and hippocampus volume and with a stronger relationship of dementia with FDG PET. Frailty contributes to the discrepancies between AD pathology and clinical manifestations and influences the association of AD pathological modifications with cognitive changes. AD and dementia should increasingly be conceived as “complex diseases of aging,” determined by multiple, simultaneous, and interacting pathophysiological processes.
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页码:1039 / 1051
页数:12
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