Abstract
Under the ATN framework, CSF analytes provide evidence of the presence or absence of Alzheimer's disease pathological hallmarks: amyloid plaques (A), phosphorylated tau (T), and accompanying neurodegeneration (N). Still, differences in CSF levels across amnestic and non-amnestic variants or due to co-occurring pathologies might lead to misdiagnoses. We assess the diagnostic accuracy of CSF markers for amyloid, tau, and neurodegeneration in an autopsy cohort of 118 Alzheimer's disease patients (98 amnestic; 20 non-amnestic) and 64 frontotemporal lobar degeneration patients (five amnestic; 59 non-amnestic). We calculated between-group differences in CSF concentrations of amyloid-β1-42 peptide, tau protein phosphorylated at threonine 181, total tau, and the ratio of phosphorylated tau to amyloid-β1-42. Results show that non-amnestic Alzheimer's disease patients were less likely to be correctly classified under the ATN framework using independent, published biomarker cut-offs for positivity. Amyloid-β1-42 did not differ between amnestic and non-amnestic Alzheimer's disease, and receiver operating characteristic curve analyses indicated that amyloid-β1-42 was equally effective in discriminating both groups from frontotemporal lobar degeneration. However, CSF concentrations of phosphorylated tau, total tau, and the ratio of phosphorylated tau to amyloid-β1-42 were significantly lower in non-amnestic compared to amnestic Alzheimer's disease patients. Receiver operating characteristic curve analyses for these markers showed reduced area under the curve when discriminating non-amnestic Alzheimer's disease from frontotemporal lobar degeneration, compared to discrimination of amnestic Alzheimer's disease from frontotemporal lobar degeneration. In addition, the ATN framework was relatively insensitive to frontotemporal lobar degeneration, and these patients were likely to be classified as having normal biomarkers or biomarkers suggestive of primary Alzheimer's disease pathology. We conclude that amyloid-β1-42 maintains high sensitivity to A status, although with lower specificity, and this single biomarker provides better sensitivity to non-amnestic Alzheimer's disease than either the ATN framework or the phosphorylated-tau/amyloid-β1-42 ratio. In contrast, T and N status biomarkers differed between amnestic and non-amnestic Alzheimer's disease; standard cut-offs for phosphorylated tau and total tau may thus result in misclassifications for non-amnestic Alzheimer's disease patients. Consideration of clinical syndrome may help improve the accuracy of ATN designations for identifying true non-amnestic Alzheimer's disease.
Highlights
The 2018 ATN research framework is a systematic method to determine Alzheimer’s disease (AD) continuum designation, and can be applied using cerebrospinal fluid (CSF) analytes as markers of AD pathology (Jack et al, 2018)
Even with the improved accuracy of antemortem predictions of AD pathology, subtle differences in CSF levels across AD variants might lead to a small number of diagnostic errors (Teng et al, 2014; Paterson et al, 2015; Wellington et al, 2018; Pillai et al, 2019)
To better characterize the full spectrum of CSF profiles in AD continuum disease and evaluate diagnostic accuracy of CSF biomarkers, we compared the accuracy of CSF-based ATN classifications in AD patients with amnestic and nonamnestic clinical phenotypes, and in frontotemporal lobar degeneration (FTLD)
Summary
The 2018 ATN research framework is a systematic method to determine Alzheimer’s disease (AD) continuum designation, and can be applied using cerebrospinal fluid (CSF) analytes as markers of AD pathology (Jack et al, 2018). Designations within Alzheimer’s continuum disease are based on the biological definition of AD that includes both amyloid plaques and tau tangles, and observations that changes in CSF Aβ1–42 typically precede CSF p-tau, followed by neurodegeneration and cognitive decline (Jack et al, 2013). Individuals who are A-negative are interpreted as not having Alzheimer’s continuum disease, and can have either normal biomarkers (A-T-N-) or biomarkers indicative of non-AD pathologic change (A-T+N-, A-T-N+, or A-T+N+). In this way, ATN provides a framework to interpret CSF biomarkers and to obtain a diagnosis in life beyond binary AD or non-AD
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