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

Abstract

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.

• Authors: Marco Canevelli, Ivan Arisi, Ilaria Bacigalupo, Andrea Arighi, Daniela Galimberti, Nicola Vanacore, Mara D'Onofrio, Matteo Cesari, Giuseppe Bruno, Alzheimer’s Disease Neuroimaging Initiative
• Journal: GeroScience (Geroscience) Vol. 43 Issue 2 Pg. 1039-1051 (04 2021) ISSN: 2509-2723 [Electronic] Switzerland
• PMID: 33210215 (Publication Type: Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't, Research Support, U.S. Gov't, Non-P.H.S.)

Chemical References

• Amyloid beta-Peptides
• Biomarkers

Topics

• Alzheimer Disease (diagnostic imaging)
• Amyloid beta-Peptides
• Biomarkers
• Cross-Sectional Studies
• Frailty (diagnostic imaging)
• Humans
• Neuroimaging