Amyloid deposition, hypometabolism, and longitudinal cognitive decline.
Susan M. Landau,Mark A. Mintun,Abhinay Joshi,Robert A. Koeppe,Ronald C. Petersen,Paul S. Aisen,Michael W. Weiner,William J. Jagust,William J. Jagust +8 more
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TLDR
Using data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) population, cross‐sectional relationships between amyloid deposition, hypometabolism, and cognition are examined.Abstract:
The emergence of positron emission tomography (PET) for imaging fibrillar β-amyloid (Aβ) in vivo is a critical development in the study of Alzheimer disease (AD). Recent amyloid PET studies have raised important questions about how amyloid deposition influences cognitive trajectories, particularly early in the course of disease. Determining the consequences of Aβ at different phases of disease and the relationship between Aβ and other well-known biomarkers of AD such as 18F-fluorodeoxyglucose (FDG) remain important questions that will contribute to our understanding of the clinical relevance of amyloid PET imaging and the development of effective therapies for AD.
Hypometabolism, measured with FDG-PET, is associated with cognitive decline1 and conversion from mild cognitive impairment (MCI) to AD.2,3 Recent work has demonstrated that the presence of amyloid is also associated with decline4,5 and conversion.6,7 Integrating data from a variety of sources, researchers have proposed that the time course of Aβ deposition and hypometabolism depends on disease stage,8–10 such that amyloid deposition precedes synaptic and neuronal dysfunction, which is in turn followed by cognitive decline. This model has been supported by several studies comparing the 2 PET measurements with respect to longitudinal decline,11,12 but this work has been limited by small sample sizes and access to patients at different phases of disease.
In this study, FDG-PET and amyloid PET data acquired through the Alzheimer’s Disease Neuroimaging Initiative (ADNI) made it possible to compare these measurements in a large sample at different levels of disease severity. [18F]Florbetapir is a PET ligand that has been recently added to the ADNI imaging protocol, and has been validated in a study demonstrating close correspondence between cortical amyloid deposition measured with florbetapir in end-of-life patients and immunohistochemistry measurements of fibrillar Aβ at autopsy.13
We examined cross-sectional relationships between Aβ (measured with florbetapir), hypometabolism (measured with FDG-PET), and cognitive performance (measured with the cognitive subscale of the Alzheimer’s Disease Assessment Scale [ADAS-cog]) in the ADNI population. A subset of the normal and MCI participants had retrospective longitudinal cognitive performance data available. Examining PET measurements (florbetapir, FDG) and cognitive change over time in these 2 diagnostic groups (normal, MCI) allowed us to test the hypothesis that amyloid deposition precedes hypometabolism and both are linked to longitudinal decline.read more
Citations
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Journal ArticleDOI
Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers.
Clifford R. Jack,David S. Knopman,William J. Jagust,Ronald C. Petersen,Michael W. Weiner,Paul S. Aisen,Leslie M. Shaw,Prashanthi Vemuri,Heather J. Wiste,Stephen D. Weigand,Timothy G. Lesnick,Vernon S. Pankratz,Michael C. Donohue,John Q. Trojanowski +13 more
TL;DR: In this article, a model of the major biomarkers of Alzheimer's disease (AD) was proposed and the authors described the temporal evolution of AD biomarkers in relation to each other and to the onset and progression of clinical symptoms.
Journal ArticleDOI
Preclinical Alzheimer's disease: Definition, natural history, and diagnostic criteria.
Bruno Dubois,Harald Hampel,Harald Hampel,Howard Feldman,Philip Scheltens,Paul S. Aisen,Sandrine Andrieu,Hovagim Bakardjian,Habib Benali,Lars Bertram,Lars Bertram,Kaj Blennow,Karl Broich,Enrica Cavedo,Sebastian J. Crutch,Jean-François Dartigues,Charles Duyckaerts,Stéphane Epelbaum,Giovanni B. Frisoni,Serge Gauthier,Remy Genthon,Alida A. Gouw,Alida A. Gouw,Marie-Odile Habert,David M. Holtzman,Miia Kivipelto,Miia Kivipelto,Simone Lista,José Luis Molinuevo,Sid E. O'Bryant,Gil D. Rabinovici,Christopher C. Rowe,Stephen Salloway,Lon S. Schneider,Reisa A. Sperling,Reisa A. Sperling,Marc Teichmann,Maria C. Carrillo,Jeffrey L. Cummings,Cliff R. Jack +39 more
TL;DR: An updated review of the literature and evidence on the definitions and lexicon, the limits, the natural history, the markers of progression, and the ethical consequence of detecting the disease at this asymptomatic stage of Alzheimer's disease are provided.
Journal ArticleDOI
PET Imaging of Tau Deposition in the Aging Human Brain
Michael Schöll,Michael Schöll,Samuel N. Lockhart,Daniel R. Schonhaut,James P. O'Neil,Mustafa Janabi,Rik Ossenkoppele,Rik Ossenkoppele,Rik Ossenkoppele,Suzanne L. Baker,Jacob W. Vogel,Jamie Faria,Henry Schwimmer,Gil D. Rabinovici,Gil D. Rabinovici,Gil D. Rabinovici,William J. Jagust,William J. Jagust +17 more
TL;DR: In this paper, the authors defined patterns of tau tracer retention in normal aging in relation to age, cognition, and β-amyloid deposition, and found that older age was associated with increased tracers retention in regions of the medial temporal lobe, which predicted worse episodic memory performance.
Journal ArticleDOI
Biomarker Modeling of Alzheimer’s Disease
TL;DR: Several time-dependent models of AD are discussed that take into consideration varying age of onset (early versus late) and the influence of aging and co-occurring brain pathologies that commonly arise in the elderly.
Journal ArticleDOI
Cerebral PET with florbetapir compared with neuropathology at autopsy for detection of neuritic amyloid-β plaques: a prospective cohort study
Christopher M. Clark,Michael J. Pontecorvo,Thomas G. Beach,Barry J. Bedell,R. Edward Coleman,P. Murali Doraiswamy,Adam S. Fleisher,Eric M. Reiman,Marwan N. Sabbagh,Carl H. Sadowsky,Julie A. Schneider,Anupa Arora,Alan Carpenter,Matthew Flitter,Abhinay D. Joshi,Michael J. Krautkramer,Ming Lu,Mark A. Mintun,Daniel Skovronsky +18 more
TL;DR: The results of this study validate the binary visual reading method approved in the USA for clinical use with flor betapir and suggest that florbetapir could be used to distinguish individuals with no or sparse amyloid plaques from those with moderate to frequent plaques.
References
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Clifford R. Jack,David S. Knopman,William J. Jagust,Leslie M. Shaw,Paul S. Aisen,Michael W. Weiner,Ronald C. Petersen,John Q. Trojanowski +7 more
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TL;DR: A new rating instrument, the Alzheimer's Disease Assessment Scale, was designed specifically to evaluate the severity of cognitive and noncognitive behavioral dysfunctions characteristic of persons with Alzheimer's disease.
Journal ArticleDOI
[11C]PIB in a nondemented population: potential antecedent marker of Alzheimer disease.
Mark A. Mintun,Gina N. LaRossa,Yvette I. Sheline,Carmen S. Dence,S. Y. Lee,Robert H. Mach,William E. Klunk,Chester A. Mathis,Steven T. DeKosky,John C. Morris +9 more
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Journal ArticleDOI
Serial PIB and MRI in normal, mild cognitive impairment and Alzheimer's disease: implications for sequence of pathological events in Alzheimer's disease.
Clifford R. Jack,Val J. Lowe,Stephen D. Weigand,Heather J. Wiste,Matthew L. Senjem,David S. Knopman,Maria M. Shiung,Jeffrey L. Gunter,Bradley F. Boeve,Bradley J. Kemp,Michael Weiner,Ronald C. Petersen +11 more
TL;DR: The data from this study are consistent with a model of typical late onset Alzheimer's disease that has two main features: (i) dissociation between the rate of amyloid deposition and the rates of neurodegeneration late in life, with amyloids deposition proceeding at a constant slow rate while neurodegenersation accelerates and (ii) clinical symptoms are coupled to neurodegneration not amyloidal deposition.
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