Literature DB >> 21507528

Preclinical AD Workgroup staging: pathological correlates and potential challenges.

Gregory A Jicha1, Erin L Abner, Frederick A Schmitt, Richard J Kryscio, Kathryn P Riley, Gregory E Cooper, Nancy Stiles, Marta S Mendiondo, Charles D Smith, Linda J Van Eldik, Peter T Nelson.   

Abstract

The National Institute on Aging Preclinical Alzheimer's disease Workgroup (PADW) has issued a preliminary report with recommendations for classifying preclinical Alzheimer's disease (pAD) according to 3 early disease stages. Here we examine the PADW recommendations in relation to neuropathological features in a large, consecutive series of cognitively intact elderly persons, autopsied within a year after cognitive testing (n = 126 cognitively intact patients with mean age 83.7 years at death). Subjects were grouped based on a hypothetical construct correlating pathological features with PADW stages. Many cognitively intact individuals were classifiable as pAD (53/126 or 43%), as expected based on epidemiological and biomarker studies. Of these, most (48%) were in "stage 3", which corresponds to amyloid pathology with early neurodegeneration. As with prior studies, our data indicate that the development of neocortical neurofibrillary tangles is the key pathological event that is not observed in pAD cases: Braak stages III or IV pathology are hence not truly a substrate for "intermediate likelihood" that cognitive impairment is due to Alzheimer's disease (AD). We also stress the importance of comorbid non-Alzheimer's disease brain pathologies (hippocampal sclerosis, neocortical alpha-synucleinopathy, cerebrovascular disease, and brains with hippocampal neurofibrillary tangles but no cortical amyloid plaques) that can contribute to the development of cognitive impairment, or which may serve as confounds in the application of the PADW recommendations. While the final recommendations from the PADW working group have not yet been released, this preliminary analysis provides a perspective on those recommendations from a neuropathological point of view.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21507528      PMCID: PMC3245887          DOI: 10.1016/j.neurobiolaging.2011.02.018

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  112 in total

1.  Accurate prediction of histologically confirmed Alzheimer's disease and the differential diagnosis of dementia: the use of NINCDS-ADRDA and DSM-III-R criteria, SPECT, X-ray CT, and APO E4 medial temporal lobe dementias. The Oxford Project to Investigate Memory and Aging.

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Journal:  Int Psychogeriatr       Date:  1997       Impact factor: 3.878

2.  Neuropathology in controls and demented subjects from the Baltimore Longitudinal Study of Aging.

Authors:  J C Troncoso; L J Martin; G Dal Forno; C H Kawas
Journal:  Neurobiol Aging       Date:  1996 May-Jun       Impact factor: 4.673

Review 3.  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.

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

4.  Neurofibrillary tangles but not senile plaques parallel duration and severity of Alzheimer's disease.

Authors:  P V Arriagada; J H Growdon; E T Hedley-Whyte; B T Hyman
Journal:  Neurology       Date:  1992-03       Impact factor: 9.910

5.  Clinico-pathologic studies in dementia: nondemented subjects with pathologically confirmed Alzheimer's disease.

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Journal:  Neurology       Date:  1988-11       Impact factor: 9.910

Review 6.  Neuropathological stageing of Alzheimer-related changes.

Authors:  H Braak; E Braak
Journal:  Acta Neuropathol       Date:  1991       Impact factor: 17.088

7.  Distribution of Alzheimer-type pathologic changes in nondemented elderly individuals matches the pattern in Alzheimer's disease.

Authors:  P V Arriagada; K Marzloff; B T Hyman
Journal:  Neurology       Date:  1992-09       Impact factor: 9.910

8.  Regional distribution of neuritic plaques in the nondemented elderly and subjects with very mild Alzheimer disease.

Authors:  V Haroutunian; D P Perl; D P Purohit; D Marin; K Khan; M Lantz; K L Davis; R C Mohs
Journal:  Arch Neurol       Date:  1998-09

9.  Preclinical prediction of Alzheimer's disease using SPECT.

Authors:  K A Johnson; K Jones; B L Holman; J A Becker; P A Spiers; A Satlin; M S Albert
Journal:  Neurology       Date:  1998-06       Impact factor: 9.910

10.  Prediction of probable Alzheimer's disease in memory-impaired patients: A prospective longitudinal study.

Authors:  M C Tierney; J P Szalai; W G Snow; R H Fisher; A Nores; G Nadon; E Dunn; P H St George-Hyslop
Journal:  Neurology       Date:  1996-03       Impact factor: 9.910

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  35 in total

1.  Clinico-Neuropathological Findings in the Oldest Old from the Georgia Centenarian Study.

Authors:  Jirayu Tanprasertsuk; Elizabeth J Johnson; Mary Ann Johnson; Leonard W Poon; Peter T Nelson; Adam Davey; Peter Martin; Aron K Barbey; Kathryn Barger; Xiang-Dong Wang; Tammy M Scott
Journal:  J Alzheimers Dis       Date:  2019       Impact factor: 4.472

2.  Multiregional Age-Associated Reduction of Brain Neuronal Reserve Without Association With Neurofibrillary Degeneration or β-Amyloidosis.

Authors:  Jerzy Wegiel; Michael Flory; Izabela Kuchna; Krzysztof Nowicki; Shuang Yong Ma; Jarek Wegiel; Eulalia Badmaev; Wayne P Silverman; Mony de Leon; Barry Reisberg; Thomas Wisniewski
Journal:  J Neuropathol Exp Neurol       Date:  2017-06-01       Impact factor: 3.685

3.  Digital pathology and image analysis for robust high-throughput quantitative assessment of Alzheimer disease neuropathologic changes.

Authors:  Janna Hackett Neltner; Erin Lynn Abner; Frederick A Schmitt; Stephanie Kay Denison; Sonya Anderson; Ela Patel; Peter T Nelson
Journal:  J Neuropathol Exp Neurol       Date:  2012-12       Impact factor: 3.685

4.  University of Kentucky Sanders-Brown healthy brain aging volunteers: donor characteristics, procedures and neuropathology.

Authors:  Frederick A Schmitt; Peter T Nelson; Erin Abner; Stephen Scheff; Gregory A Jicha; Charles Smith; Gregory Cooper; Marta Mendiondo; Deborah D Danner; Linda J Van Eldik; Allison Caban-Holt; Mark A Lovell; Richard J Kryscio
Journal:  Curr Alzheimer Res       Date:  2012-07       Impact factor: 3.498

Review 5.  Is synaptic loss a unique hallmark of Alzheimer's disease?

Authors:  Stephen W Scheff; Janna H Neltner; Peter T Nelson
Journal:  Biochem Pharmacol       Date:  2014-01-09       Impact factor: 5.858

6.  The Revised National Alzheimer's Coordinating Center's Neuropathology Form-Available Data and New Analyses.

Authors:  Lilah M Besser; Walter A Kukull; Merilee A Teylan; Eileen H Bigio; Nigel J Cairns; Julia K Kofler; Thomas J Montine; Julie A Schneider; Peter T Nelson
Journal:  J Neuropathol Exp Neurol       Date:  2018-08-01       Impact factor: 3.685

Review 7.  Challenges of multimorbidity of the aging brain: a critical update.

Authors:  Kurt A Jellinger; Johannes Attems
Journal:  J Neural Transm (Vienna)       Date:  2014-08-05       Impact factor: 3.575

8.  Does CSF p-tau181 help to discriminate Alzheimer's disease from other dementias and mild cognitive impairment? A meta-analysis of the literature.

Authors:  Wei Tang; Qiong Huang; Yu-You Yao; Yan Wang; Yi-Le Wu; Zheng-Yu Wang
Journal:  J Neural Transm (Vienna)       Date:  2014-05-10       Impact factor: 3.575

9.  Tau Oligomer Pathology in Nucleus Basalis Neurons During the Progression of Alzheimer Disease.

Authors:  Chelsea T Tiernan; Elliott J Mufson; Nicholas M Kanaan; Scott E Counts
Journal:  J Neuropathol Exp Neurol       Date:  2018-03-01       Impact factor: 3.685

10.  Brain pathologies in extreme old age.

Authors:  Janna H Neltner; Erin L Abner; Gregory A Jicha; Frederick A Schmitt; Ela Patel; Leonard W Poon; Gearing Marla; Robert C Green; Adam Davey; Mary Ann Johnson; S Michal Jazwinski; Sangkyu Kim; Daron Davis; John L Woodard; Richard J Kryscio; Linda J Van Eldik; Peter T Nelson
Journal:  Neurobiol Aging       Date:  2015-10-19       Impact factor: 4.673

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