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Consensus report of the Working Group on: "Molecular and Biochemical Markers of Alzheimer's Disease"
Journal article   Open access   Peer reviewed

Consensus report of the Working Group on: "Molecular and Biochemical Markers of Alzheimer's Disease"

Peter Davies, Judith Resnick, Burton Resnick, Sid Gilman, John Growdon, Zaven S. Khachaturian, Teresa S. Radebaugh, Allen D. Roses, Dennis J. Selkoe, John Q. Trojanowski, …
Neurobiology of aging, Vol.19(2), pp.109-116
1998
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CC BY-NC-ND V4.0 Open Access

Abstract

Geriatrics & Gerontology Life Sciences & Biomedicine Neurosciences Neurosciences & Neurology Science & Technology
The ideal biomarker for Alzheimer's disease (AD) should detect a fundamental feature of neuropathology and be validatrd in neuropathologically-confirmed cases; it should have a sensitivity >80% for detecting AD and a specificity of >80% for distinguishing other dementias; it should be reliable, reproducible, non-invasive, simple to perform, and inexpensive. Recommended steps to establish a biomarker include confirmation by at least two independent studies conducted by qualified investigators with the results published in peer-reviewed journals. Our review of current candidate markers indicates that for suspected early-onset familial AD, it is appropriate to search fur mutations in the presenilin 1, presenilin 2, and amyloid precursor protein genes. Individuals with these mutations typically have increased levels of the amyloid A beta(42) peptide in plasma and decreased levels of APPs in cerebrospinal fluid. In late-onset and sporadic AD, these measures are nor useful, but detecting an apolipoprotein E el allele can add confidence to the clinical diagnosis. Among the other proposed molecular and biochemical markers for sporadic AD, cerebrospinal fluid assays showing low levels of A beta(42) and high levels of tau come closest to fulfilling criteria for a useful biomarker.

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Citation topics
1 Clinical & Life Sciences
1.52 Neurodegenerative Diseases
1.52.60 Dementia
Web Of Science research areas
Geriatrics & Gerontology
Neurosciences
ESI research areas
Neuroscience & Behavior
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