Literature DB >> 31314895

Staging β-Amyloid Pathology With Amyloid Positron Emission Tomography.

Niklas Mattsson1,2,3, Sebastian Palmqvist1,2, Erik Stomrud1, Jacob Vogel4, Oskar Hansson1,5.   

Abstract

IMPORTANCE: Different brain regions appear to be involved during β-amyloid (Aβ) accumulation in Alzheimer disease (AD), but a longitudinally valid system to track Aβ stages in vivo using positron emission tomography (PET) is lacking.
OBJECTIVE: To construct a longitudinally valid in vivo staging system for AD using amyloid PET. DESIGN, SETTING, AND PARTICIPANTS: Longitudinal multicenter cohort study using data accessed on August 20, 2018, from the Alzheimer's Disease Neuroimaging Initiative database of scans performed from June 9, 2010, to July 12, 2018, from 741 persons: 304 without cognitive impairment, 384 with mild cognitive impairment, and 53 with AD dementia. Cerebrospinal fluid (CSF) Aβ42 and fluorine 18-labeled florbetapir (18F-florbetapir) data were used to determine early, intermediate, and late regions of Aβ accumulation. β-Amyloid stages ranging from 0 to 3 were constructed using these composites. Each subsequent stage required involvement of more advanced regions. Patients were followed up at 2, 4, and 6 years. Replication and validation were conducted using an independent cohort (Swedish BioFINDER) and gene expression information from the Allen Human Brain Atlas database. Analyses were conducted August 21, 2018, to May 24, 2019. MAIN OUTCOMES AND MEASURES: The main outcome was change in stage. Stages were compared for diagnosis, CSF biomarkers of tau, and longitudinal atrophy, cognitive measures, and regional gene expression. Transitions between stages were tested using longitudinal 18F-florbetapir data.
RESULTS: Among 641 participants with CSF Aβ42 data and at least two 18F-florbetapir scans, 335 (52.3%) were male. The early region of Aβ accumulation included the precuneus, posterior cingulate, isthmus cingulate, insula, and medial and lateral orbitofrontal cortices. The late region included the lingual, pericalcarine, paracentral, precentral, and postcentral cortices. The intermediate region included remaining brain regions with increased accumulation rates. In 2072 PET scans from 741 participants, 2039 (98.4%) were unambiguously staged. At baseline, participants with stage 0 (n = 402) had a 14.7% (95% CI, 11.2%-18.1%) probability of progression to a higher stage; stage 1 (n = 21), 71.4% (95% CI, 50.0%-90.9%); and stage 2 (n = 79), 53.1% (95% CI, 42.2%-64.0%). Seven of the 741 participants (0.9%) reverted to a lower stage. Higher stages were associated with lower CSF Aβ42 concentrations (from stage 1 at baseline), greater CSF P-tau (from stage 1) and CSF T-tau (from stage 2), and accelerated cognitive decline (from stage 2) and atrophy (from stage 3), even when adjusting for clinical diagnosis. Key findings were replicated in the BioFINDER cohort (N = 474). The regions of different stages differed by gene expression profiles when using the transcriptome from the Allen Human Brain Atlas, especially involving genes associated with voltage-gated ion channel activity especially involving genes associated with voltage-gated ion channel activity, but also blood circulation, axon guidance, and lipid transportation. CONCLUSIONS AND RELEVANCE: Results of this study suggest that this robust staging system of Aβ accumulation may be useful for monitoring patients throughout the course of AD. Progression through stages may depend on underlying selective vulnerability in different brain regions.

Entities:  

Year:  2019        PMID: 31314895      PMCID: PMC6646987          DOI: 10.1001/jamaneurol.2019.2214

Source DB:  PubMed          Journal:  JAMA Neurol        ISSN: 2168-6149            Impact factor:   18.302


  47 in total

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Authors:  Manu S Goyal; Brian A Gordon; Lars E Couture; Shaney Flores; Chengjie Xiong; John C Morris; Marcus E Raichle; Tammie L-S Benzinger; Andrei G Vlassenko
Journal:  Neurobiol Aging       Date:  2020-09-01       Impact factor: 4.673

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Authors:  Rachel F Buckley
Journal:  Neurotherapeutics       Date:  2021-03-29       Impact factor: 7.620

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Journal:  Mol Imaging Biol       Date:  2022-07-07       Impact factor: 3.488

4.  Evaluation of semi-quantitative measures of 18F-flutemetamol PET for the clinical diagnosis of Alzheimer's disease.

Authors:  Ebba Gløersen Müller; Caroline Stokke; Henning Langen Stokmo; Trine Holt Edwin; Anne-Brita Knapskog; Mona-Elisabeth Revheim
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5.  Hippocampal blood-brain barrier permeability is related to the APOE4 mutation status of elderly individuals without dementia.

Authors:  Won-Jin Moon; Changmok Lim; Il Heon Ha; Yeahoon Kim; Yeonsil Moon; Hee-Jin Kim; Seol-Heui Han
Journal:  J Cereb Blood Flow Metab       Date:  2020-09-16       Impact factor: 6.200

6.  Temporal Dynamics of β-Amyloid Accumulation in Aging and Alzheimer Disease.

Authors:  William J Jagust; Susan M Landau
Journal:  Neurology       Date:  2021-01-06       Impact factor: 9.910

7.  Early neuroinflammation is associated with lower amyloid and tau levels in cognitively normal older adults.

Authors:  Daniel S Albrecht; Abhay Sagare; Maricarmen Pachicano; Melanie D Sweeney; Arthur Toga; Berislav Zlokovic; Helena Chui; Elizabeth Joe; Lon Schneider; John C Morris; Tammie Benzinger; Judy Pa
Journal:  Brain Behav Immun       Date:  2021-01-22       Impact factor: 7.217

8.  Bundle-specific associations between white matter microstructure and Aβ and tau pathology in preclinical Alzheimer's disease.

Authors:  Alexa Pichet Binette; Guillaume Theaud; François Rheault; Maggie Roy; D Louis Collins; Johannes Levin; Hiroshi Mori; Jae Hong Lee; Martin Rhys Farlow; Peter Schofield; Jasmeer P Chhatwal; Colin L Masters; Tammie Benzinger; John Morris; Randall Bateman; John Cs Breitner; Judes Poirier; Julie Gonneaud; Maxime Descoteaux; Sylvia Villeneuve
Journal:  Elife       Date:  2021-05-13       Impact factor: 8.140

9.  Association of amyloid-β CSF/PET discordance and tau load 5 years later.

Authors:  Juhan Reimand; Lyduine Collij; Philip Scheltens; Femke Bouwman; Rik Ossenkoppele
Journal:  Neurology       Date:  2020-09-10       Impact factor: 9.910

10.  Regional amyloid accumulation predicts memory decline in initially cognitively unimpaired individuals.

Authors:  Lyduine E Collij; Sophie E Mastenbroek; Gemma Salvadó; Alle Meije Wink; Pieter Jelle Visser; Frederik Barkhof; Bart N M van Berckel; Isadora Lopes Alves
Journal:  Alzheimers Dement (Amst)       Date:  2021-08-02
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