Title | Staging Alzheimer's Disease Risk by Sequencing Brain Function and Structure, Cerebrospinal Fluid, and Cognition Biomarkers. |
Publication Type | Journal Article |
Year of Publication | 2016 |
Authors | Chen, G, Shu, H, Chen, G, B Ward, D, Antuono, PG, Zhang, Z, Li, S-J |
Corporate Authors | Alzheimer’s Disease Neuroimaging Initiative |
Journal | J Alzheimers Dis |
Volume | 54 |
Issue | 3 |
Pagination | 983-993 |
Date Published | 2016 Oct 04 |
ISSN | 1875-8908 |
Abstract | This study aims to develop a composite biomarker that can accurately measure the sequential biological stages of Alzheimer's disease (AD) on an individual level. We selected 144 subjects from the Alzheimer's Disease Neuroimaging Initiative 2 datasets. Ten biomarkers, from brain function and structure, cerebrospinal fluid, and cognitive performance, were integrated using the event-based probabilistic model to estimate their optimal temporal sequence (Soptimal). We identified the numerical order of the Soptimal as the characterizing Alzheimer's disease risk events (CARE) index to measure disease stage. The results show that, in the Soptimal, hippocampal and posterior cingulate cortex network biomarkers occur first, followed by aberrant cerebrospinal fluid amyloid-β and p-tau levels, then cognitive deficit, and finally regional gray matter loss and fusiform network abnormality. The CARE index significantly correlates with disease severity and exhibits high reliability. Our findings demonstrate that use of the CARE index would advance AD stage measurement across the whole AD continuum and facilitate personalized treatment of AD. |
DOI | 10.3233/JAD-160537 |
Alternate Journal | J. Alzheimers Dis. |
PubMed ID | 27567874 |
PubMed Central ID | PMC5055443 |
Grant List | R01 AG020279 / AG / NIA NIH HHS / United States R44 AG035405 / AG / NIA NIH HHS / United States U01 AG024904 / AG / NIA NIH HHS / United States |
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