Neurological Sciences · 2023 · 12 citations · 40 references
Life SciencesNeurologyNeuroscienceCognitive NeuroscienceDementiaNeurodegenerationAlzheimer DiseaseBiomarkers Of NeurodegenerationCognitive ImpairmentDementia BiomarkersNeurodegenerative DiseasesNeurodegenerative DisordersAccuracyAlzheimer Disease ProgressionBiomarkersBlood-based BiomarkersCognitive BiomarkersNeurodegenerative Disease BiomarkersNeurofilament Heavy ChainPreclinical Disease Stages
INTRODUCTION AND AIM: NfL and GFAP are promising blood-based biomarkers for Alzheimer's disease. However, few studies have explored plasma GFAP in the prodromal and preclinical stages of AD. In our cross-sectional study, our aim is to investigate the role of these biomarkers in the earliest stages of AD. MATERIALS AND METHODS: , p-tau, t-tau), Apolipoprotein E (APOE) genotype analysis and measurement of plasma GFAP and NfL concentrations. Patients were categorized according to the ATN system as follows: normal AD biomarkers (NB), carriers of non-Alzheimer's pathology (non-AD), prodromal AD, or AD with dementia (AD-D). RESULTS: GFAP was lower in NB compared to prodromal AD (p = 0.003, d = 1.463) and AD-D (p = 0.002, d = 1.695). NfL was lower in NB patients than in AD-D (p = 0.011, d = 1.474). NfL demonstrated fair accuracy (AUC = 0.718) in differentiating between NB and prodromal AD, with a cut-off value of 11.65 pg/mL. GFAP showed excellent accuracy in differentiating NB from prodromal AD (AUC = 0.901) with a cut-off level of 198.13 pg/mL. CONCLUSIONS: GFAP exhibited excellent accuracy in distinguishing patients with normal CSF biomarkers from those with prodromal AD. Our results support the use of this peripheral biomarker for detecting AD in patients with subjective and objective cognitive decline.
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Guy M. McKhann, David S. Knopman, Howard Chertkow et al. · Alzheimer s & Dementia · 2011 · 18.8K citations · Full text
Marilyn S. Albert, Steven T. DeKosky, Dennis W. Dickson et al. · Alzheimer s & Dementia · 2011 · 10.2K citations