4.5 Article

Analysis of Cerebrospinal Fluid and [C-11] PIB PET Biomarkers for Alzheimer's Disease with Updated Protocols

Journal

JOURNAL OF ALZHEIMERS DISEASE
Volume 52, Issue 4, Pages 1403-1413

Publisher

IOS PRESS
DOI: 10.3233/JAD-160143

Keywords

Alzheimer's disease; biomarker; cerebrospinal fluid; diagnosis; Pittsburgh compound B; protocol

Categories

Funding

  1. Korea Healthcare Technology R AMP
  2. D Project through the Korea Health Industry Development Institute (KHIDI), Korea Ministry of Health AMP
  3. Welfare, Republic of Korea [HI14C3331, HD15A0040]

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Background: Recently, a Korean research group suggested a consensus protocol, based on the Alzheimer's Disease Neuroimaging Initiative study protocol but with modifications for minimizing the confounding factors, for the evaluation of cerebrospinal fluid (CSF) biomarkers. Objective: Here, we analyzed fluid and imaging biomarkers of Alzheimer's disease (AD) in Korean population. We used the updated protocol to propose a more accurate CSF biomarker value for the diagnosis of AD. Methods: Twenty-seven patients with AD and 30 cognitively normal controls (NC) were enrolled. CSF was collected from 55 subjects (patients with AD=26, NC=29) following the Korea consensus protocol. CSF biomarkers were measured using the INNO-BIA AlzBio3 immunoassay, and Pittsburgh compound B (PIB) positron emission tomography (PET) scans were also performed. Results: The cutoff values of CSF amyloid beta 1-42 (A beta(42)), total tau (t-Tau), and phosphorylated tau (p-Tau) proteins were 357.1 pg/ml, 83.35 pg/ml, and 38.00 pg/ml, respectively. The cutoff values of CSF t-Tau/A beta(42) and p-Tau/A beta(42) ratio-were 0.210 (sensitivity 100%, specificity 86.21%) and 0.1350 (sensitivity 88.46%, specificity of 92.86%). The concordance rate with PIB-PET was higher using the CSF t-Tau/A beta(42) ratio (kappa=0.849, CI 0.71-0.99) than CSF A beta(42) alone (kappa=0.703, CI 0.51-0.89). Conclusions: Here, we improved controversial factors associated with the previous CSF study protocol and suggested a new cutoff value for the diagnosis of AD. Our results showed good diagnostic performance for differentiation of AD. Thus, we expect our findings could be a cornerstone in the establishment and clinical application of biomarkers for AD diagnosis.

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