Literature DB >> 17303173

Morphological substrates of cognitive decline in nonagenarians and centenarians: a new paradigm?

Anouk Imhof1, Enikö Kövari, Armin von Gunten, Gabriel Gold, Claire-Bénédicte Rivara, François R Herrmann, Patrick R Hof, Constantin Bouras, Panteleimon Giannakopoulos.   

Abstract

Brain aging is characterized by the formation of neurofibrillary tangles (NFT) and senile plaques (SP) in both cognitively intact individuals and patients with Alzheimer's disease (AD). The ubiquitous presence of these lesions and the steady increase of the prevalence of dementia up to 85 years have strongly supported a continuum between normal brain aging and AD. In this context, the study of nonagenarians and centenarians could provide key informations about the characteristics of extreme aging. We provide here a detailed review of currently available neuropathological data in very old individuals and critically discuss the patterns of NFT, SP and neuronal loss distribution as a function of age. In younger cohorts, NFTs are usually restricted to hippocampal formation, whereas clinical signs of dementia appear when temporal neocortex is involved. SPs would not be a specific marker of cognitive impairment as no correlation was found between their quantitative distribution and AD severity. The low rate of AD lesions even in severe AD as well as the weakness of clinicopathological correlations reported in the oldest-old indicate that AD pathology is not a mandatory phenomenon of increasing chronological age. Our recent stereological observations of hippocampal microvasculature in oldest-old cases challenge the traditional lesional model by revealing that mean capillary diameters is an important structural determinant of cognition in this age group.

Entities:  

Mesh:

Year:  2007        PMID: 17303173     DOI: 10.1016/j.jns.2007.01.025

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  41 in total

1.  Neocortical and hippocampal amyloid-β and tau measures associate with dementia in the oldest-old.

Authors:  John L Robinson; Felix Geser; Maria M Corrada; Daniel J Berlau; Steven E Arnold; Virginia M-Y Lee; Claudia H Kawas; John Q Trojanowski
Journal:  Brain       Date:  2011-11-26       Impact factor: 13.501

Review 2.  Diagnosing dementia in the oldest-old.

Authors:  Carrie Brumback-Peltz; Archana B Balasubramanian; María M Corrada; Claudia H Kawas
Journal:  Maturitas       Date:  2011-08-09       Impact factor: 4.342

Review 3.  Alzheimer's disease is not "brain aging": neuropathological, genetic, and epidemiological human studies.

Authors:  Peter T Nelson; Elizabeth Head; Frederick A Schmitt; Paulina R Davis; Janna H Neltner; Gregory A Jicha; Erin L Abner; Charles D Smith; Linda J Van Eldik; Richard J Kryscio; Stephen W Scheff
Journal:  Acta Neuropathol       Date:  2011-04-24       Impact factor: 17.088

Review 4.  Brain aging, Alzheimer's disease, and mitochondria.

Authors:  Russell H Swerdlow
Journal:  Biochim Biophys Acta       Date:  2011-09-02

Review 5.  Operationalizing diagnostic criteria for Alzheimer's disease and other age-related cognitive impairment-Part 1.

Authors:  Richard Mayeux; Christiane Reitz; Adam M Brickman; Mary N Haan; Jennifer J Manly; M Maria Glymour; Christopher C Weiss; Kristine Yaffe; Laura Middleton; Hugh C Hendrie; Lauren H Warren; Kathleen M Hayden; Kathleen A Welsh-Bohmer; John C S Breitner; John C Morris
Journal:  Alzheimers Dement       Date:  2011-01       Impact factor: 21.566

6.  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

7.  Dementia: continuum or distinct entity?

Authors:  Glenn D Walters
Journal:  Psychol Aging       Date:  2010-09

8.  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

9.  Gain in brain immunity in the oldest-old differentiates cognitively normal from demented individuals.

Authors:  Pavel Katsel; Weilun Tan; Vahram Haroutunian
Journal:  PLoS One       Date:  2009-10-29       Impact factor: 3.240

Review 10.  Neuropathological assessment of the Alzheimer spectrum.

Authors:  Kurt A Jellinger
Journal:  J Neural Transm (Vienna)       Date:  2020-08-01       Impact factor: 3.575

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.