Identification and validation of novel CSF biomarkers for early stages of Alzheimer's disease

The pathology of Alzheimer's disease (AD) begins years prior to clinical diagnosis. The development of antecedent biomarkers that indicate the presence of AD pathology and predict risk for decline in both cognitively normal and mildly impaired individuals will be useful as effective therapies a...

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Published inProteomics. Clinical applications Vol. 1; no. 11; pp. 1373 - 1384
Main Authors Hu, Yan, Hosseini, Ava, Kauwe, John S. K., Gross, Julia, Cairns, Nigel J., Goate, Alison M., Fagan, Anne M., Townsend, R. Reid, Holtzman, David M.
Format Journal Article
LanguageEnglish
Published Weinheim WILEY-VCH Verlag 01.11.2007
WILEY‐VCH Verlag
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Summary:The pathology of Alzheimer's disease (AD) begins years prior to clinical diagnosis. The development of antecedent biomarkers that indicate the presence of AD pathology and predict risk for decline in both cognitively normal and mildly impaired individuals will be useful as effective therapies are developed. While cerebrospinal fluid (CSF) markers such as amyloid‐β (Aβ) 42 and tau are useful, additional biomarkers are needed. To identify new markers, we utilized 2‐D difference gel electrophoresis (2‐D DIGE) of individual CSF samples from subjects with very mild AD versus controls after depletion of high‐abundant proteins. Protein spots displaying differential abundance between the two groups were identified with MS. A number of candidate biomarkers were identified in 18 gel features. Selected candidates were quantified in a larger clinical set using ELISA. The mean levels of α1‐antichymotrypsin (ACT), antithrombin III (ATIII), and zinc‐α2‐glycoprotein (ZAG) were significantly higher in the mild AD group, and the mean level of carnosinase 1 (CNDP1) was decreased. When these biomarkers are optimally combined, there is a strong trend toward greater specificity and sensitivity based on clinical diagnosis than when used individually. Our findings provide novel biomarker candidates for very mild and mild AD that can be further assessed as antecedent markers and predictors of clinical progression.
Bibliography:istex:C725B74132867FFD0CCD863A690E7B7F514A0C89
ArticleID:PRCA200600999
National Centers of Research Resources of the National Institutes of Health - No. P41RR00954
National Institute on Aging - No. P01 AG03991; No. P01 AG026276; No. P50 AG05681
ark:/67375/WNG-LHPQRVFT-C
Washington University General Clinical Research Center funded by the US Public Health System - No. M01 RR00036
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ISSN:1862-8346
1862-8354
DOI:10.1002/prca.200600999