Identification and validation of novel cerebrospinal fluid biomarkers for staging early Alzheimer's disease

Ideally, disease modifying therapies for Alzheimer disease (AD) will be applied during the 'preclinical' stage (pathology present with cognition intact) before severe neuronal damage occurs, or upon recognizing very mild cognitive impairment. Developing and judiciously administering such t...

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Veröffentlicht in:PloS one 2011-01, Vol.6 (1), p.e16032-e16032
Hauptverfasser: Perrin, Richard J, Craig-Schapiro, Rebecca, Malone, James P, Shah, Aarti R, Gilmore, Petra, Davis, Alan E, Roe, Catherine M, Peskind, Elaine R, Li, Ge, Galasko, Douglas R, Clark, Christopher M, Quinn, Joseph F, Kaye, Jeffrey A, Morris, John C, Holtzman, David M, Townsend, R Reid, Fagan, Anne M
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Sprache:eng
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Zusammenfassung:Ideally, disease modifying therapies for Alzheimer disease (AD) will be applied during the 'preclinical' stage (pathology present with cognition intact) before severe neuronal damage occurs, or upon recognizing very mild cognitive impairment. Developing and judiciously administering such therapies will require biomarker panels to identify early AD pathology, classify disease stage, monitor pathological progression, and predict cognitive decline. To discover such biomarkers, we measured AD-associated changes in the cerebrospinal fluid (CSF) proteome. CSF samples from individuals with mild AD (Clinical Dementia Rating [CDR] 1) (n = 24) and cognitively normal controls (CDR 0) (n = 24) were subjected to two-dimensional difference-in-gel electrophoresis. Within 119 differentially-abundant gel features, mass spectrometry (LC-MS/MS) identified 47 proteins. For validation, eleven proteins were re-evaluated by enzyme-linked immunosorbent assays (ELISA). Six of these assays (NrCAM, YKL-40, chromogranin A, carnosinase I, transthyretin, cystatin C) distinguished CDR 1 and CDR 0 groups and were subsequently applied (with tau, p-tau181 and Aβ42 ELISAs) to a larger independent cohort (n = 292) that included individuals with very mild dementia (CDR 0.5). Receiver-operating characteristic curve analyses using stepwise logistic regression yielded optimal biomarker combinations to distinguish CDR 0 from CDR>0 (tau, YKL-40, NrCAM) and CDR 1 from CDR
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0016032