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Spatial patterns of neuroimaging biomarker change in individuals from families with autosomal dominant Alzheimer's disease: a longitudinal study

Authors :
David M. Holtzman
Tammie L.S. Benzinger
Peter R. Schofield
Christian la Fougère
Johannes Levin
Jasmeer P. Chhatwal
Michael M Weiner
Andrew J. Saykin
Clifford R. Jack
Guoqiao Wang
Brian A. Gordon
Chengjie Xiong
Colin L. Masters
Anne M. Fagan
Stephen Salloway
Shaney Flores
Neill R. Graff-Radford
John C. Morris
Randall J. Bateman
Nick C. Fox
Jon Christensen
Daniel S. Marcus
Beau M. Ances
Russ C. Hornbeck
Yi Su
Tyler Blazey
Adam M. Brickman
David M. Cash
Martin N. Rossor
Sarah B. Berman
Stephen Correia
Paul M. Thompson
Stefan Förster
Amrita Hari-Raj
Nigel J. Cairns
Eric McDade
Jason Hassenstab
Marcus E. Raichle
Katrina L. Paumier
Aylin Dincer
Source :
The Lancet. Neurology, vol 17, iss 3, The Lancet. Neurology, The lancet / Neurology 17(3), 241-250 (2018). doi:10.1016/S1474-4422(18)30028-0
Publication Year :
2018
Publisher :
eScholarship, University of California, 2018.

Abstract

Summary Background Models of Alzheimer's disease propose a sequence of amyloid β (Aβ) accumulation, hypometabolism, and structural decline that precedes the onset of clinical dementia. These pathological features evolve both temporally and spatially in the brain. In this study, we aimed to characterise where in the brain and when in the course of the disease neuroimaging biomarkers become abnormal. Methods Between Jan 1, 2009, and Dec 31, 2015, we analysed data from mutation non-carriers, asymptomatic carriers, and symptomatic carriers from families carrying gene mutations in presenilin 1 (PSEN1), presenilin 2 (PSEN2), or amyloid precursor protein (APP) enrolled in the Dominantly Inherited Alzheimer's Network. We analysed 11C-Pittsburgh Compound B (11C-PiB) PET, 18F-Fluorodeoxyglucose (18F-FDG) PET, and structural MRI data using regions of interest to assess change throughout the brain. We estimated rates of biomarker change as a function of estimated years to symptom onset at baseline using linear mixed-effects models and determined the earliest point at which biomarker trajectories differed between mutation carriers and non-carriers. This study is registered at ClinicalTrials.gov (number NCT00869817) Findings 11C-PiB PET was available for 346 individuals (162 with longitudinal imaging), 18F-FDG PET was available for 352 individuals (175 with longitudinal imaging), and MRI data were available for 377 individuals (201 with longitudinal imaging). We found a sequence to pathological changes, with rates of Aβ deposition in mutation carriers being significantly different from those in non-carriers first (across regions that showed a significant difference, at a mean of 18·9 years [SD 3·3] before expected onset), followed by hypometabolism (14·1 years [5·1] before expected onset), and lastly structural decline (4·7 years [4·2] before expected onset). This biomarker ordering was preserved in most, but not all, regions. The temporal emergence within a biomarker varied across the brain, with the precuneus being the first cortical region for each method to show divergence between groups (22·2 years before expected onset for Aβ accumulation, 18·8 years before expected onset for hypometabolism, and 13·0 years before expected onset for cortical thinning). Interpretation Mutation carriers had elevations in Aβ deposition, reduced glucose metabolism, and cortical thinning compared with non-carriers which preceded the expected onset of dementia. Accrual of these pathologies varied throughout the brain, suggesting differential regional and temporal vulnerabilities to Aβ, metabolic decline, and structural atrophy, which should be taken into account when using biomarkers in a clinical setting as well as designing and evaluating clinical trials. Funding US National Institutes of Health, the German Center for Neurodegenerative Diseases, and the Medical Research Council Dementias Platform UK.

Subjects

Subjects :
0301 basic medicine
Oncology
Male
Aging
2-(4'-(methylamino)phenyl)-6-hydroxybenzothiazole
genetics [Alzheimer Disease]
Gene mutation
Neurodegenerative
Alzheimer's Disease
Brain mapping
Amyloid beta-Protein Precursor
0302 clinical medicine
pharmacokinetics [Thiazoles]
PSEN2
PSEN1
2.1 Biological and endogenous factors
Longitudinal Studies
Aetiology
Brain Mapping
screening and diagnosis
Aniline Compounds
Statistics
Brain
genetics [Presenilin-1]
Middle Aged
Magnetic Resonance Imaging
3. Good health
Detection
genetics [Amyloid beta-Protein Precursor]
Neurological
pharmacokinetics [Fluorodeoxyglucose F18]
Biomarker (medicine)
Biomedical Imaging
Female
Alzheimer's disease
Adult
medicine.medical_specialty
Clinical Sciences
genetics [Presenilin-2]
Neuroimaging
Statistics, Nonparametric
Presenilin
Article
PSEN1 protein, human
03 medical and health sciences
Rare Diseases
Alzheimer Disease
Fluorodeoxyglucose F18
Clinical Research
Internal medicine
Presenilin-2
medicine
Presenilin-1
Acquired Cognitive Impairment
Dementia
Humans
Nonparametric
ddc:610
diagnostic imaging [Brain]
Family Health
Amyloid beta-Peptides
Neurology & Neurosurgery
PSEN2 protein, human
business.industry
Neurosciences
Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD)
medicine.disease
pharmacokinetics [Aniline Compounds]
Brain Disorders
4.1 Discovery and preclinical testing of markers and technologies
Thiazoles
030104 developmental biology
Positron-Emission Tomography
Neurology (clinical)
business
diagnostic imaging [Alzheimer Disease]
030217 neurology & neurosurgery
Biomarkers

Details

Database :
OpenAIRE
Journal :
The Lancet. Neurology, vol 17, iss 3, The Lancet. Neurology, The lancet <London> / Neurology 17(3), 241-250 (2018). doi:10.1016/S1474-4422(18)30028-0
Accession number :
edsair.doi.dedup.....dadd9d5eb44c48077889e21729529b40
Full Text :
https://doi.org/10.1016/S1474-4422(18)30028-0