Literature DB >> 22628162

Regional dynamics of amyloid-β deposition in healthy elderly, mild cognitive impairment and Alzheimer's disease: a voxelwise PiB-PET longitudinal study.

Nicolas Villain1, Gaël Chételat, Blandine Grassiot, Pierrick Bourgeat, Gareth Jones, Kathryn A Ellis, David Ames, Ralph N Martins, Francis Eustache, Olivier Salvado, Colin L Masters, Christopher C Rowe, Victor L Villemagne.   

Abstract

Amyloid-β deposition in Alzheimer's disease is thought to start while individuals are still cognitively unimpaired and it is hypothesized that after an early phase of fast accumulation, a plateau is reached by the time of cognitive decline. However, few longitudinal Pittsburgh compound B-positron emission tomography studies have tested this hypothesis, and with conflicting results. The purpose of this work is to further our understanding of the dynamics of amyloid-β deposition in a large longitudinal cohort. A total of 32 patients with Alzheimer's disease, 49 subjects with mild cognitive impairment and 103 healthy controls underwent two Pittsburgh compound B-positron emission tomography scans 18 months apart. For each participant, a parametric map of Pittsburgh compound B-positron emission tomography rate of change was created [(follow-up scan - baseline scan)/follow-up duration] and entered in a voxelwise three-way analysis of covariance, with clinical status (healthy controls, mild cognitive impairment or Alzheimer's disease), disease progression (clinical conversion from healthy controls to mild cognitive impairment or Alzheimer's disease, or from mild cognitive impairment to Alzheimer's disease) and Pittsburgh compound B status (positive versus negative) as independent factors. Only a significant effect of the Pittsburgh compound B status was found: both Pittsburgh compound B-positive and -negative subjects showed a significant increase in amyloid-β deposition, with this increase being significantly higher in Pittsburgh compound B-positive individuals. This finding suggests either that Pittsburgh compound B-negative individuals have slower rates of amyloid-β accumulation than positive, or that the proportion of individuals showing significant increase in amyloid-β deposition, termed 'Pittsburgh compound B accumulators', is higher within the Pittsburgh compound B-positive group than within the Pittsburgh compound B-negative group. The bimodal distribution of the individual rates of neocortical amyloid-β accumulation observed support the existence of 'Pittsburgh compound B non-accumulators' and 'Pittsburgh compound B accumulators' and different clustering analyses led to a consistent threshold to separate these two subgroups (0.014-0.022 standardized uptake value ratio(pons)/year). The voxelwise three-way analysis of covariance was thus recomputed with the 'Pittsburgh compound B accumulators' only and the results were almost unchanged, with the Pittsburgh compound B-positive group showing higher accumulation than the Pittsburgh compound B-negative group. Finally, a significant negative correlation was found between Pittsburgh compound B rate of change and Pittsburgh compound B baseline burden, but only in the Pittsburgh compound B-positive group (r= -0.24; P=0.025). Higher rates of amyloid-β deposition are associated with higher amyloid-β burden suggesting that amyloid-β deposition does not reach a plateau when cognitive impairments manifest but is instead an ongoing process present even at the Alzheimer's disease stage. amyloid-β accumulation also seems to slow down at the latest stages of the process, i.e. in participants with the highest amyloid burden. Furthermore, this study identified the existence of Pittsburgh compound 'accumulators' and 'non-accumulators', notably within the Pittsburgh compound B-negative group, which may be a relevant concept for future studies.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22628162     DOI: 10.1093/brain/aws125

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  95 in total

Review 1.  Suspected non-Alzheimer disease pathophysiology--concept and controversy.

Authors:  Clifford R Jack; David S Knopman; Gaël Chételat; Dennis Dickson; Anne M Fagan; Giovanni B Frisoni; William Jagust; Elizabeth C Mormino; Ronald C Petersen; Reisa A Sperling; Wiesje M van der Flier; Victor L Villemagne; Pieter J Visser; Stephanie J B Vos
Journal:  Nat Rev Neurol       Date:  2016-01-18       Impact factor: 42.937

2.  In vivo characterization of the early states of the amyloid-beta network.

Authors:  Jorge Sepulcre; Mert R Sabuncu; Alex Becker; Reisa Sperling; Keith A Johnson
Journal:  Brain       Date:  2013-07       Impact factor: 13.501

3.  Cholinergic basal forebrain atrophy predicts amyloid burden in Alzheimer's disease.

Authors:  Stefan Teipel; Helmut Heinsen; Edson Amaro; Lea T Grinberg; Bernd Krause; Michel Grothe
Journal:  Neurobiol Aging       Date:  2013-10-28       Impact factor: 4.673

4.  Cerebrospinal fluid biomarkers and cerebral atrophy in distinct clinical variants of probable Alzheimer's disease.

Authors:  Rik Ossenkoppele; Niklas Mattsson; Charlotte E Teunissen; Frederik Barkhof; Yolande Pijnenburg; Philip Scheltens; Wiesje M van der Flier; Gil D Rabinovici
Journal:  Neurobiol Aging       Date:  2015-04-25       Impact factor: 4.673

5.  Transmodal Learning of Functional Networks for Alzheimer's Disease Prediction.

Authors:  Mehdi Rahim; Bertrand Thirion; Claude Comtat; Gaël Varoquaux
Journal:  IEEE J Sel Top Signal Process       Date:  2016-08-15       Impact factor: 6.856

6.  Incident cognitive impairment: longitudinal changes in molecular, structural and cognitive biomarkers.

Authors:  Catherine M Roe; Beau M Ances; Denise Head; Ganesh M Babulal; Sarah H Stout; Elizabeth A Grant; Jason Hassenstab; Chengjie Xiong; David M Holtzman; Tammie L S Benzinger; Suzanne E Schindler; Anne M Fagan; John C Morris
Journal:  Brain       Date:  2018-11-01       Impact factor: 13.501

7.  Amyloid-β Positivity Predicts Cognitive Decline but Cognition Predicts Progression to Amyloid-β Positivity.

Authors:  Jeremy A Elman; Matthew S Panizzon; Daniel E Gustavson; Carol E Franz; Mark E Sanderson-Cimino; Michael J Lyons; William S Kremen
Journal:  Biol Psychiatry       Date:  2020-01-07       Impact factor: 13.382

8.  Predicting Regional Pattern of Longitudinal β-Amyloid Accumulation by Baseline PET.

Authors:  Tengfei Guo; Matthias Brendel; Timo Grimmer; Axel Rominger; Igor Yakushev
Journal:  J Nucl Med       Date:  2016-10-06       Impact factor: 10.057

9.  Defining imaging biomarker cut points for brain aging and Alzheimer's disease.

Authors:  Clifford R Jack; Heather J Wiste; Stephen D Weigand; Terry M Therneau; Val J Lowe; David S Knopman; Jeffrey L Gunter; Matthew L Senjem; David T Jones; Kejal Kantarci; Mary M Machulda; Michelle M Mielke; Rosebud O Roberts; Prashanthi Vemuri; Denise A Reyes; Ronald C Petersen
Journal:  Alzheimers Dement       Date:  2016-09-30       Impact factor: 21.566

10.  Mixed oligomers and monomeric amyloid-β disrupts endothelial cells integrity and reduces monomeric amyloid-β transport across hCMEC/D3 cell line as an in vitro blood-brain barrier model.

Authors:  Hisham Qosa; Harry LeVine; Jeffrey N Keller; Amal Kaddoumi
Journal:  Biochim Biophys Acta       Date:  2014-07-02
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.