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Comparative Study
. 2009 Oct 13;73(15):1193-9.
doi: 10.1212/WNL.0b013e3181bc010c.

Relationships between biomarkers in aging and dementia

Affiliations
Comparative Study

Relationships between biomarkers in aging and dementia

W J Jagust et al. Neurology. .

Abstract

Background: PET imaging using [(18)F]fluorodeoxyglucose (FDG) and [(11)C]Pittsburgh compound B (PIB) have been proposed as biomarkers of Alzheimer disease (AD), as have CSF measures of the 42 amino acid beta-amyloid protein (Abeta(1-42)) and total and phosphorylated tau (t-tau and p-tau). Relationships between biomarkers and with disease severity are incompletely understood.

Methods: Ten subjects with AD, 11 control subjects, and 34 subjects with mild cognitive impairment from the Alzheimer's Disease Neuroimaging Initiative underwent clinical evaluation; CSF measurement of Abeta(1-42), t-tau, and p-tau; and PIB-PET and FDG-PET scanning. Data were analyzed using continuous regression and dichotomous outcomes with subjects classified as "positive" or "negative" for AD based on cutoffs established in patients with AD and controls from other cohorts.

Results: Dichotomous categorization showed substantial agreement between PIB-PET and CSF Abeta(1-42) measures (91% agreement, kappa = 0.74), modest agreement between PIB-PET and p-tau (76% agreement, kappa = 0.50), and minimal agreement for other comparisons (kappa <0.3). Mini-Mental State Examination score was significantly correlated with FDG-PET but not with PIB-PET or CSF Abeta(1-42). Regression models adjusted for diagnosis showed that PIB-PET was significantly correlated with Abeta(1-42), t-tau, and p-tau(181p), whereas FDG-PET was correlated only with Abeta(1-42).

Conclusions: PET and CSF biomarkers of Abeta agree with one another but are not related to cognitive impairment. [(18)F]fluorodeoxyglucose-PET is modestly related to other biomarkers but is better related to cognition. Different biomarkers for Alzheimer disease provide different information from one another that is likely to be complementary.

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Figures

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Figure 1 Mean cortical [11C]PIB SUVR plotted against CSF Aβ1-42 (A) and CSF t-tau (B) and the composite FDG-PET (C) measure for all subjects Cutoffs for PIB SUVR and each biomarker are marked on each axis and were defined in separate cohorts as described in the text. PIB = Pittsburgh compound B; SUVR = standardized uptake value ratio; Aβ 1-42 = 42 amino acid β-amyloid protein; t-tau = total tau; FDG = [18F]fluorodeoxyglucose; MCI = mild cognitive impairment; AD = Alzheimer disease.
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Figure 2 Values for the composite FDG-PET ROI as defined in the text, plotted against CSF Aβ1-42 (A) and CSF t-tau (B) Cutoff values are marked on each axis and were defined in separate cohorts as described in the text. FDG = [18F]fluorodeoxyglucose; ROI = region of interest; Aβ1-42 = 42 amino acid β-amyloid protein; t-tau = total tau; AD = Alzheimer disease; MCI = mild cognitive impairment.
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Figure 3 Cognitive function (measured with MMSE) vs CSF Aβ1-42 (A), CSF t-tau (B), mean cortical PIB SUVR (C), and composite FDG-PET (D) in a univariate analysis The regression shown for FDG-PET is the baseline examination compared with baseline MMSE. Significant associations are reported in the text. MMSE = Mini-Mental State Examination; Aβ1-42 = 42 amino acid β-amyloid protein; t-tau = total tau; PIB = [11C]Pittsburgh compound B; SUVR = standardized uptake value ratio; FDG = [18F]fluorodeoxyglucose; ROI = region of interest.

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