Literature DB >> 7708206

Close-meshed prevalence rates of different stages as a tool to uncover the rate of Alzheimer's disease-related neurofibrillary changes.

T G Ohm1, H Müller, H Braak, J Bohl.   

Abstract

The speed of progression of Alzheimer's disease-related neurofibrillary changes is unknown. One reason for this is the impossibility to histopathologically follow-up one and the same individual over decades of their life. The present approach takes advantage of a recently introduced classification system which allows for a ranking of Alzheimer's disease-related neurofibrillary changes into six stages [Braak and Braak Acta Neuropath (1991) 82, 239-259] and analyses a staged sample of 887 brains obtained from routine autopsy. It sets out to interpret these cross-sectional data in dynamic longitudinal terms, in order to estimate the rate of passing through the various stages. The time needed to attain respective stages of pathology for 5% of a given cumulative sample is determined. The resulting fifth centiles are a measure of the average rate by which the disease-related changes progress assuming that the underlying stages represent a sequence of events and do not independently emerge. Advancing age and the prevalence of Alzheimer's disease-related changes of a given stage show a nonlinear positive correlation with only slight acceleration above the age of 65 years. Statistically, it takes at least 16 years from stage I to stage II, about 14 years pass by from stage II to III, 13 years from stage III to IV and five years from stage IV to V (= Alzheimer's disease) for 5% of a given cumulative sample. Thus, the deep roots of Alzheimer's disease-related neurofibrillary changes can be traced about 50 years back and may even extend into adolescence.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1995        PMID: 7708206     DOI: 10.1016/0306-4522(95)90397-p

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  40 in total

1.  Genetics and visual attention: selective deficits in healthy adult carriers of the epsilon 4 allele of the apolipoprotein E gene.

Authors:  P M Greenwood; T Sunderland; J L Friz; R Parasuraman
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-10       Impact factor: 11.205

Review 2.  The concept of FDG-PET endophenotype in Alzheimer's disease.

Authors:  Emmanuel H During; R S Osorio; F M Elahi; L Mosconi; M J de Leon
Journal:  Neurol Sci       Date:  2011-06-01       Impact factor: 3.307

3.  Short latency afferent inhibition differs among the subtypes of mild cognitive impairment.

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Journal:  J Neural Transm (Vienna)       Date:  2011-10-21       Impact factor: 3.575

Review 4.  Structural imaging in early pre-states of dementia.

Authors:  Charles D Smith
Journal:  Biochim Biophys Acta       Date:  2011-07-14

5.  Apolipoprotein E gene polymorphisms associated with processing speed and executive functions in healthy Han Chinese.

Authors:  Cheng-Cheng Zhang; Hong-Yan Ren; Ming-Li Li; Qiang Wang; Wei Deng; Wan-Jun Guo; Wei Lei; Bo Xiang; Lian-Sheng Zhao; Xiao-Hong Ma; Yong-Gang Yao; Tao Li
Journal:  Neurosci Bull       Date:  2015-04-01       Impact factor: 5.203

6.  The influence of Alzheimer disease family history and apolipoprotein E epsilon4 on mesial temporal lobe activation.

Authors:  Sterling C Johnson; Taylor W Schmitz; Mehul A Trivedi; Michele L Ries; Britta M Torgerson; Cynthia M Carlsson; Sanjay Asthana; Bruce P Hermann; Mark A Sager
Journal:  J Neurosci       Date:  2006-05-31       Impact factor: 6.167

7.  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

8.  Iron genes, iron load and risk of Alzheimer's disease.

Authors:  D J Lehmann; M Worwood; R Ellis; V L J Wimhurst; A T Merryweather-Clarke; D R Warden; A D Smith; K J H Robson
Journal:  J Med Genet       Date:  2006-10       Impact factor: 6.318

Review 9.  Primate aging in the mammalian scheme: the puzzle of extreme variation in brain aging.

Authors:  Caleb E Finch; Steven N Austad
Journal:  Age (Dordr)       Date:  2012-01-05

10.  Functional brain abnormalities in young adults at genetic risk for late-onset Alzheimer's dementia.

Authors:  Eric M Reiman; Kewei Chen; Gene E Alexander; Richard J Caselli; Daniel Bandy; David Osborne; Ann M Saunders; John Hardy
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-19       Impact factor: 11.205

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