Neuronal injury biomarkers for assessment of the individual cognitive reserve in clinically suspected Alzheimer's disease

• Published in: NeuroImage clinical 2019-01, Vol.24, p.101949-101949, Article 101949
• Main Authors: Beyer, Leonie, Schnabel, Jonas, Kazmierczak, Philipp, Ewers, Michael, Schönecker, Sonja, Prix, Catharina, Meyer-Wilmes, Johanna, Unterrainer, Marcus, Catak, Cihan, Pogarell, Oliver, Perneczky, Robert, Albert, Nathalie L., Bartenstein, Peter, Danek, Adrian, Buerger, Katharina, Levin, Johannes, Rominger, Axel, Brendel, Matthias
• Format: Article
• Language: English
• Subjects: Aged; Alzheimer Disease - cerebrospinal fluid; Alzheimer Disease - diagnostic imaging; Alzheimer Disease - metabolism; Alzheimer's disease; Biomarkers - cerebrospinal fluid; Biomarkers - metabolism; Brain - diagnostic imaging; Brain - metabolism; Cognitive Dysfunction - cerebrospinal fluid; Cognitive Dysfunction - diagnostic imaging; Cognitive Dysfunction - metabolism; Cognitive performance; Cognitive reserve; Cognitive Reserve - physiology; FDG-PET; Female; Fluorodeoxyglucose F18; Follow-Up Studies; Humans; Magnetic Resonance Imaging - trends; Male; Middle Aged; Neuronal injury biomarkers; Positron-Emission Tomography - trends; Regular; tau Proteins - cerebrospinal fluid
• ISSN: 2213-1582; 2213-1582
• DOI: 10.1016/j.nicl.2019.101949

Many predictive or influencing factors have emerged in investigations of the cognitive reserve model of patients with Alzheimer's disease (AD). For example, neuronal injury, which correlates with cognitive decline in AD, can be assessed by [18F]-fluorodeoxyglucose positron-emission-tomography (FDG-PET), structural magnetic resonance imaging (MRI) and total tau in cerebrospinal fluid (CSFt-tau), all according to the A/T/N-classification. The aim of this study was to calculate residual cognitive performance based on neuronal injury biomarkers as a surrogate of cognitive reserve, and to test the predictive value of this index for the individual clinical course. 110 initially mild cognitive impaired and demented subjects (age 71 ± 8 years) with a final diagnosis of AD dementia were assessed at baseline by clinical mini-mental-state-examination (MMSE), FDG-PET, MRI and CSFt-tau. All neuronal injury markers were tested for an association with clinical MMSE and the resulting residuals were correlated with years of education. We used multiple regression analysis to calculate the expected MMSE score based on neuronal injury biomarkers and covariates. The residuals of the partial correlation for each biomarker and the predicted residualized memory function were correlated with individual cognitive changes measured during clinical follow-up (27 ± 13 months). FDG-PET correlated highly with clinical MMSE (R = −0.49, p