Abstract
Background and ObjectivesMultiple biomarkers have been suggested to measure neurodegeneration (N) in the AT(N) framework, leading to inconsistencies between studies. We investigated the association of 5 N biomarkers with clinical progression and cognitive decline in individuals with subjective cognitive decline (SCD).MethodsWe included individuals with SCD from the Amsterdam Dementia Cohort and SCIENCe project, a longitudinal cohort study (follow-up 4±3 years). We used the following N biomarkers: CSF total tau (t-tau), medial temporal atrophy visual rating on MRI, hippocampal volume (HV), serum neurofilament light (NfL), and serum glial fibrillary acidic protein (GFAP). We determined correlations between biomarkers. We assessed associations between N biomarkers and clinical progression to mild cognitive impairment or dementia (Cox regression) and Mini-Mental State Examination (MMSE) over time (linear mixed models). Models included age, sex, CSF β-amyloid (Aβ) (A), and CSF p-tau (T) as covariates, in addition to the N biomarker.ResultWe included 401 individuals (61±9 years, 42% female, MMSE 28 ± 2, vascular comorbidities 8%–19%). N biomarkers were modestly to moderately correlated (range r −0.28 – 0.58). Serum NfL and GFAP correlated most strongly (r 0.58, p < 0.01). T-tau was strongly correlated with p-tau (r 0.89, p < 0.01), although these biomarkers supposedly represent separate biomarker groups. All N biomarkers individually predicted clinical progression, but only HV, NfL, and GFAP added predictive value beyond Aβ and p-tau (hazard ratio 1.52 [95% CI 1.11–2.09]; 1.51 [1.05–2.17]; 1.50 [1.04–2.15]). T-tau, HV, and GFAP individually predicted MMSE slope (range β −0.17 to −0.11, p < 0.05), but only HV remained associated beyond Aβ and p-tau (β −0.13 [SE 0.04]; p < 0.05).DiscussionIn cognitively unimpaired older adults, correlations between different N biomarkers were only moderate, indicating they reflect different aspects of neurodegeneration and should not be used interchangeably. T-tau was strongly associated with p-tau (T), which makes it less desirable to use as a measure for N. HV, NfL, and GFAP predicted clinical progression beyond A and T. Our results do not allow to choose one most suitable biomarker for N, but illustrate the added prognostic value of N beyond A and T.Classification of EvidenceThis study provides Class II evidence that HV, NfL, and GFAP predicted clinical progression beyond A and T in individuals with SCD.
Highlights
In recent years, there has been a major change in the definition of Alzheimer’s disease (AD)
Classification of evidence: This study provides Class II evidence that hippocampal volume (HV), neurofilament light (NfL) and glial fibrillary acidic protein (GFAP) predicted clinical progression beyond A and T in individuals with subjective cognitive decline (SCD)
We investigated the associations between biomarkers and clinical progression using Cox proportional hazards analyses, with progression to mild cognitive impairment (MCI) or dementia as outcome
Summary
There has been a major change in the definition of Alzheimer’s disease (AD). The core criteria of AD diagnosis were based on clinical symptoms.[1] In 2018, a research framework has been put forward by the NIA-AA in which every individual is classified based on specific biomarkers in the AT(N) classification.[2] In this framework, the term ‘Alzheimer’s disease’ refers to the presence of abnormal amyloid-beta accumulation and neurofibrillary tau tangles, i.e. The ‘N’ in the AT(N) classification represents neurodegeneration. Neurodegenerative markers are not necessary for the diagnosis, but rather have been suggested to provide pathologic staging information and predictive value. Multiple biomarkers have been suggested to measure neurodegeneration (N) in the AT(N) framework, leading to inconsistencies between studies. We investigated the association of five N biomarkers with clinical progression and cognitive decline in individuals with subjective cognitive decline (SCD)
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