Autor: |
Augusto J. Mendes, Federica Ribaldi, Aurelien Lathuiliere, Nicholas J. Ashton, Henrik Zetterberg, Marc Abramowicz, Max Scheffler, Frédéric Assal, Valentina Garibotto, Kaj Blennow, Giovanni B. Frisoni |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
Alzheimer’s Research & Therapy, Vol 16, Iss 1, Pp 1-11 (2024) |
Druh dokumentu: |
article |
ISSN: |
1758-9193 |
DOI: |
10.1186/s13195-024-01478-9 |
Popis: |
Abstract Background Plasma biomarkers of Alzheimer’s disease (AD) pathology, neurodegeneration, and neuroinflammation are ideally suited for secondary prevention programs in self-sufficient persons at-risk of dementia. Plasma biomarkers have been shown to be highly correlated with traditional imaging biomarkers. However, their comparative predictive value versus traditional AD biomarkers is still unclear in cognitively unimpaired (CU) subjects and with mild cognitive impairment (MCI). Methods Plasma (Aβ42/40, p-tau181, p-tau231, NfL, and GFAP) and neuroimaging (hippocampal volume, centiloid of amyloid-PET, and tau-SUVR of tau-PET) biomarkers were assessed at baseline in 218 non-demented subjects (CU = 140; MCI = 78) from the Geneva Memory Center. Global cognition (MMSE) was evaluated at baseline and at follow-ups up to 5.7 years. We used linear mixed-effects models and Cox proportional-hazards regression to assess the association between biomarkers and cognitive decline. Lastly, sample size calculations using the linear mixed-effects models were performed on subjects positive for amyloid-PET combined with tau-PET and plasma biomarker positivity. Results Cognitive decline was significantly predicted in MCI by baseline plasma NfL (β=-0.55), GFAP (β=-0.36), hippocampal volume (β = 0.44), centiloid (β=-0.38), and tau-SUVR (β=-0.66) (all p |
Databáze: |
Directory of Open Access Journals |
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