Literature DB >> 22112552

Striatal amyloid plaque density predicts Braak neurofibrillary stage and clinicopathological Alzheimer's disease: implications for amyloid imaging.

Thomas G Beach1, Lucia I Sue, Douglas G Walker, Marwan N Sabbagh, Geidy Serrano, Brittany N Dugger, Monica Mariner, Kim Yantos, Jonette Henry-Watson, Glenn Chiarolanza, Jose A Hidalgo, Leslie Souders.   

Abstract

Amyloid imaging may revolutionize Alzheimer's disease (AD) research and clinical practice but is critically limited by an inadequate correlation between cerebral cortex amyloid plaques and dementia. Also, amyloid imaging does not indicate the extent of neurofibrillary tangle (NFT) spread throughout the brain. Currently, the presence of dementia as well as a minimal brain load of both plaques and NFTs is required for the diagnosis of AD. Autopsy studies suggest that striatal amyloid plaques may be mainly restricted to subjects in higher Braak NFT stages that meet clinicopathological diagnostic criteria for AD. Striatal plaques, which are readily identified by amyloid imaging, might therefore be used to predict the presence of a higher Braak NFT stage and clinicopathological AD in living subjects. This study determined the sensitivity and specificity of striatal plaques for predicting a higher Braak NFT stage and clinicopathological AD in a postmortem series of 211 elderly subjects. Subjects included 87 clinicopathologically classified as non-demented elderly controls and 124 with AD. A higher striatal plaque density score (moderate or frequent) had 95.8% sensitivity, 75.7% specificity for Braak NFT stage V or VI and 85.6% sensitivity, 86.2% specificity for the presence of dementia and clinicopathological AD (National Institute on Aging - Reagan Institute "intermediate" or "high"). Amyloid imaging of the striatum may be useful as a predictor, in living subjects, of Braak NFT stage and the presence or absence of dementia and clinicopathological AD. Validation of this hypothesis will require autopsy studies of subjects that had amyloid imaging during life.

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Year:  2012        PMID: 22112552      PMCID: PMC3760731          DOI: 10.3233/JAD-2011-111340

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  53 in total

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Journal:  Acta Neuropathol       Date:  1997-02       Impact factor: 17.088

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Journal:  J Neuropathol Exp Neurol       Date:  1998-04       Impact factor: 3.685

3.  The distribution of amyloid beta protein deposition in the corpus striatum of patients with Alzheimer's disease.

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Journal:  Neuropathol Appl Neurobiol       Date:  1997-08       Impact factor: 8.090

4.  Human striatum: the distribution of neurofibrillary tangles in Alzheimer's disease.

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Journal:  Brain Res       Date:  1994-06-20       Impact factor: 3.252

5.  Pre- and post-synaptic cortical cholinergic deficits are proportional to amyloid plaque presence and density at preclinical stages of Alzheimer's disease.

Authors:  Pamela E Potter; Paula K Rauschkolb; Yoga Pandya; Lucia I Sue; Marwan N Sabbagh; Douglas G Walker; Thomas G Beach
Journal:  Acta Neuropathol       Date:  2011-05-01       Impact factor: 17.088

Review 6.  Consensus recommendations for the postmortem diagnosis of Alzheimer's disease. The National Institute on Aging, and Reagan Institute Working Group on Diagnostic Criteria for the Neuropathological Assessment of Alzheimer's Disease.

Authors: 
Journal:  Neurobiol Aging       Date:  1997 Jul-Aug       Impact factor: 4.673

7.  Frequency of stages of Alzheimer-related lesions in different age categories.

Authors:  H Braak; E Braak
Journal:  Neurobiol Aging       Date:  1997 Jul-Aug       Impact factor: 4.673

8.  Correlation of amyloid PET ligand florbetapir F 18 binding with Aβ aggregation and neuritic plaque deposition in postmortem brain tissue.

Authors:  Seok Rye Choi; Julie A Schneider; David A Bennett; Thomas G Beach; Barry J Bedell; Simone P Zehntner; Michael J Krautkramer; Hank F Kung; Daniel M Skovronsky; Franz Hefti; Christopher M Clark
Journal:  Alzheimer Dis Assoc Disord       Date:  2012 Jan-Mar       Impact factor: 2.703

9.  Full-length amyloid-beta (1-42(43)) and amino-terminally modified and truncated amyloid-beta 42(43) deposit in diffuse plaques.

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Journal:  Am J Pathol       Date:  1996-12       Impact factor: 4.307

10.  Regional distribution of neurofibrillary tangles and senile plaques in the cerebral cortex of elderly patients: a quantitative evaluation of a one-year autopsy population from a geriatric hospital.

Authors:  C Bouras; P R Hof; P Giannakopoulos; J P Michel; J H Morrison
Journal:  Cereb Cortex       Date:  1994 Mar-Apr       Impact factor: 5.357

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  39 in total

1.  Accuracy of the clinical diagnosis of Alzheimer disease at National Institute on Aging Alzheimer Disease Centers, 2005-2010.

Authors:  Thomas G Beach; Sarah E Monsell; Leslie E Phillips; Walter Kukull
Journal:  J Neuropathol Exp Neurol       Date:  2012-04       Impact factor: 3.685

2.  Cognitive decline and brain amyloid-β accumulation across 3 years in adults with Down syndrome.

Authors:  Sigan L Hartley; Benjamin L Handen; Darlynne Devenny; Iulia Mihaila; Regina Hardison; Patrick J Lao; William E Klunk; Peter Bulova; Sterling C Johnson; Bradley T Christian
Journal:  Neurobiol Aging       Date:  2017-06-02       Impact factor: 4.673

3.  Cortical and subcortical cerebrovascular resistance index in mild cognitive impairment and Alzheimer's disease.

Authors:  Daniel A Nation; Christina E Wierenga; Lindsay R Clark; Sheena I Dev; Nikki H Stricker; Amy J Jak; David P Salmon; Lisa Delano-Wood; Katherine J Bangen; Robert A Rissman; Thomas T Liu; Mark W Bondi
Journal:  J Alzheimers Dis       Date:  2013       Impact factor: 4.472

4.  Expression of suppressor of cytokine signaling genes in human elderly and Alzheimer's disease brains and human microglia.

Authors:  D G Walker; A M Whetzel; L-F Lue
Journal:  Neuroscience       Date:  2014-10-05       Impact factor: 3.590

5.  Subcortical amyloid load is associated with shape and volume in cognitively normal individuals.

Authors:  Shady Rahayel; Christian Bocti; Pénélope Sévigny Dupont; Maude Joannette; Marie Maxime Lavallée; Jim Nikelski; Howard Chertkow; Sven Joubert
Journal:  Hum Brain Mapp       Date:  2019-05-30       Impact factor: 5.038

6.  Subcortical amyloid relates to cortical morphology in cognitively normal individuals.

Authors:  Shady Rahayel; Christian Bocti; Pénélope Sévigny Dupont; Maude Joannette; Marie Maxime Lavallée; Jim Nikelski; Howard Chertkow; Sven Joubert
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-07-25       Impact factor: 9.236

7.  Amyloid involvement in subcortical regions predicts cognitive decline.

Authors:  Soo Hyun Cho; Jeong-Hyeon Shin; Hyemin Jang; Seongbeom Park; Hee Jin Kim; Si Eun Kim; Seung Joo Kim; Yeshin Kim; Jin San Lee; Duk L Na; Samuel N Lockhart; Gil D Rabinovici; Joon-Kyung Seong; Sang Won Seo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-07-06       Impact factor: 9.236

8.  Clinicopathological outcomes of prospectively followed normal elderly brain bank volunteers.

Authors:  Brittany N Dugger; Joseph G Hentz; Charles H Adler; Marwan N Sabbagh; Holly A Shill; Sandra Jacobson; John N Caviness; Christine Belden; Erika Driver-Dunckley; Kathryn J Davis; Lucia I Sue; Thomas G Beach
Journal:  J Neuropathol Exp Neurol       Date:  2014-03       Impact factor: 3.685

9.  Striatal and Cortical β-Amyloidopathy and Cognition in Parkinson's Disease.

Authors:  Neha Shah; Kirk A Frey; Martijn L T M Müller; Myria Petrou; Vikas Kotagal; Robert A Koeppe; Peter J H Scott; Roger L Albin; Nicolaas I Bohnen
Journal:  Mov Disord       Date:  2015-09-18       Impact factor: 10.338

10.  Consistent decrease in global DNA methylation and hydroxymethylation in the hippocampus of Alzheimer's disease patients.

Authors:  Leonidas Chouliaras; Diego Mastroeni; Elaine Delvaux; Andrew Grover; Gunter Kenis; Patrick R Hof; Harry W M Steinbusch; Paul D Coleman; Bart P F Rutten; Daniel L A van den Hove
Journal:  Neurobiol Aging       Date:  2013-04-09       Impact factor: 4.673

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