Abstract

BackgroundBlood-based biomarkers for Alzheimer’s disease (AD) might facilitate identification of participants for clinical trials targeting amyloid beta (Abeta) accumulation, and aid in AD diagnostics. We examined the potential of plasma markers Abeta(1-42/1-40), glial fibrillary acidic protein (GFAP) and neurofilament light (NfL) to identify cerebral amyloidosis and/or disease severity.MethodsWe included individuals with a positive (n = 176: 63 ± 7 years, 87 (49%) females) or negative (n = 76: 61 ± 9 years, 27 (36%) females) amyloid PET status, with syndrome diagnosis subjective cognitive decline (18 PET+, 25 PET−), mild cognitive impairment (26 PET+, 24 PET−), or AD-dementia (132 PET+). Plasma Abeta(1-42/1-40), GFAP, and NfL were measured by Simoa. We applied two-way ANOVA adjusted for age and sex to investigate the associations of the plasma markers with amyloid PET status and syndrome diagnosis; logistic regression analysis with Wald’s backward selection to identify an optimal panel that identifies amyloid PET positivity; age, sex, and education-adjusted linear regression analysis to investigate associations between the plasma markers and neuropsychological test performance; and Spearman’s correlation analysis to investigate associations between the plasma markers and medial temporal lobe atrophy (MTA).ResultsAbeta(1-42/1-40) and GFAP independently associated with amyloid PET status (p = 0.009 and p < 0.001 respectively), and GFAP and NfL independently associated with syndrome diagnosis (p = 0.001 and p = 0.048 respectively). The optimal panel identifying a positive amyloid status included Abeta(1-42/1-40) and GFAP, alongside age and APOE (AUC = 88% (95% CI 83–93%), 82% sensitivity, 86% specificity), while excluding NfL and sex. GFAP and NfL robustly associated with cognitive performance on global cognition and all major cognitive domains (GFAP: range standardized β (sβ) = − 0.40 to − 0.26; NfL: range sβ = − 0.35 to − 0.18; all: p < 0.002), whereas Abeta(1-42/1-40) associated with global cognition, memory, attention, and executive functioning (range sβ = 0.22 – 0.11; all: p < 0.05) but not language. GFAP and NfL showed moderate positive correlations with MTA (both: Spearman’s rho> 0.33, p < 0.001). Abeta(1-42/1-40) showed a moderate negative correlation with MTA (Spearman’s rho = − 0.24, p = 0.001).Discussion and conclusionsCombination of plasma Abeta(1-42/1-40) and GFAP provides a valuable tool for the identification of amyloid PET status. Furthermore, plasma GFAP and NfL associate with various disease severity measures suggesting potential for disease monitoring.

Highlights

  • Alzheimer’s disease (AD) is a multifactorial disease, with amyloid beta (Abeta) accumulation in the brain as one of the first detectable pathological hallmarks [1,2,3] in concert with accumulating tau pathology, neuronal damage, synapse loss, and inflammation [1]

  • Abeta(1-42/1-40) and glial fibrillary acidic protein (GFAP) independently associated with amyloid positron emission tomography (PET) status (p = 0.009 and p < 0.001 respectively), and GFAP and neurofilament light (NfL) independently associated with syndrome diagnosis (p = 0.001 and p = 0.048 respectively)

  • We aimed to investigate the utility of the combination of plasma biomarkers Abeta(1-42/1-40), GFAP, and NfL, all measured on a single platform (Simoa), to identify AD pathology as determined with amyloid PET in a total of 252 individuals across the clinical AD spectrum, i.e., subjective cognitive decline (SCD), mild cognitive impairment (MCI), or ADdementia

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Summary

Introduction

Alzheimer’s disease (AD) is a multifactorial disease, with amyloid beta (Abeta) accumulation in the brain as one of the first detectable pathological hallmarks [1,2,3] in concert with accumulating tau pathology, neuronal damage, synapse loss, and inflammation [1]. Given the costs of PET and the invasiveness of CSF analysis, blood-based biomarkers accurately reflecting AD pathological processes are urgently needed. Such biomarkers will facilitate the identification and selection of participants for disease modifying clinical trials (e.g., targeting Abeta accumulation) and could help in monitoring of disease progression or therapeutic effectiveness. Having a combination of markers that reflects amyloid accumulation and reflects the extent of neurodegeneration might allow for use as disease severity and therapeutic effectiveness monitoring tool In this respect, neurofilament light (NfL) and glial fibrillary acidic protein (GFAP) are promising blood-based biomarkers. We examined the potential of plasma markers Abeta(1-42/1-40), glial fibrillary acidic protein (GFAP) and neurofilament light (NfL) to identify cerebral amyloidosis and/or disease severity

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