Literature DB >> 24916271

A comparison of Aβ amyloid pathology staging systems and correlation with clinical diagnosis.

Susana Boluda1, Jon B Toledo, David J Irwin, Kevin M Raible, Matt D Byrne, Edward B Lee, Virginia M-Y Lee, John Q Trojanowski.   

Abstract

Current neuropathological Alzheimer's disease (AD) criteria from the National Institute on Aging-Alzheimer's Association (NIA-AA) incorporate two staging systems for Aβ pathology, namely the Thal Aβ phase (TAP) and the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) methods. The goal of this study was to compare and contrast results obtained with these two different staging systems for Aβ pathology since this is critical for future correlations of Aβ amyloid imaging data with Aβ neuropathology data based on immunohistochemical detection of Aβ deposits. A total of 123 cases, divided into 82 training and 41 validation cases, with a diagnosis of either unremarkable adult brain (normal) or AD and CERAD scores ranging from none to frequent were included. There was no clear and consistent relationship between CERAD and the TAP Aβ scores with the exception of scores for the highest plaque burdens (i.e., CERAD C3 and TAP A3) in the cases studied here. However, we developed an algorithm that relates CERAD scores to TAP scores with high agreement (94 % in training and 98 % in the validation set). In addition, TAP scores were a better predictor of dementia (sensitivity of 94 % specificity 87.7 %) than CERAD scores (sensitivity of 57 % specificity 100 %). Yet, further research is needed to define strategies to relate CERAD and TAP Aβ plaque scores to compare their utility and for determining the clinical associations of these different amyloid staging systems with aging and AD.

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Year:  2014        PMID: 24916271      PMCID: PMC4399383          DOI: 10.1007/s00401-014-1308-9

Source DB:  PubMed          Journal:  Acta Neuropathol        ISSN: 0001-6322            Impact factor:   17.088


  21 in total

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Journal:  JAMA Neurol       Date:  2015-05       Impact factor: 18.302

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Authors:  Alberto Serrano-Pozo; Jing Qian; Alona Muzikansky; Sarah E Monsell; Thomas J Montine; Matthew P Frosch; Rebecca A Betensky; Bradley T Hyman
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3.  Association of Hypercholesterolemia with Alzheimer's Disease Pathology and Cerebral Amyloid Angiopathy.

Authors:  Chenjia Xu; Liana G Apostolova; Adrian L Oblak; Sujuan Gao
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4.  Olfactory Bulb Amyloid-β Correlates With Brain Thal Amyloid Phase and Severity of Cognitive Impairment.

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Journal:  Acta Neuropathol       Date:  2015-12-10       Impact factor: 17.088

6.  An N-terminal antibody promotes the transformation of amyloid fibrils into oligomers and enhances the neurotoxicity of amyloid-beta: the dust-raising effect.

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Journal:  J Neuroinflammation       Date:  2015-08-28       Impact factor: 8.322

7.  Soluble pre-fibrillar tau and β-amyloid species emerge in early human Alzheimer's disease and track disease progression and cognitive decline.

Authors:  David J Koss; Glynn Jones; Anna Cranston; Heidi Gardner; Nicholas M Kanaan; Bettina Platt
Journal:  Acta Neuropathol       Date:  2016-10-21       Impact factor: 17.088

8.  TDP-43 Depletion in Microglia Promotes Amyloid Clearance but Also Induces Synapse Loss.

Authors:  Rosa C Paolicelli; Ali Jawaid; Christopher M Henstridge; Andrea Valeri; Mario Merlini; John L Robinson; Edward B Lee; Jamie Rose; Stanley Appel; Virginia M-Y Lee; John Q Trojanowski; Tara Spires-Jones; Paul E Schulz; Lawrence Rajendran
Journal:  Neuron       Date:  2017-06-29       Impact factor: 17.173

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Journal:  Front Aging Neurosci       Date:  2020-05-12       Impact factor: 5.750

10.  Reduced uptake of [11C]-ABP688, a PET tracer for metabolic glutamate receptor 5 in hippocampus and amygdala in Alzheimer's dementia.

Authors:  Valerie Treyer; Anton F Gietl; Husam Suliman; Esmeralda Gruber; Rafael Meyer; Andreas Buchmann; Anass Johayem; Paul G Unschuld; Roger M Nitsch; Alfred Buck; Simon M Ametamey; Christoph Hock
Journal:  Brain Behav       Date:  2020-04-18       Impact factor: 2.708

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