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Interactions of synaptic and inflammatory biomarkers in Alzheimer's Disease.

Authors :
Rahmouni, Nesrine
Tissot, Cécile
Servaes, Stijn
Therriault, Joseph
Macedo, Arthur C.
Stevenson, Jenna
Lussier, Firoza Z
Machado, Luiza Santos
Arias, Jaime Fernandez
Wang, Yi‐Ting
Stevenson, Alyssa
Socualaya, Kely Quispialaya
Kunach, Peter
Nazneen, Tahnia
Hosseini, Seyyed Ali
Gauthier, Serge
Karikari, Thomas K
Benedet, Andrea Lessa
Ashton, Nicholas J.
Zetterberg, Henrik
Source :
Alzheimer's & Dementia: The Journal of the Alzheimer's Association; Dec2023 Supplement 17, Vol. 19, p1-3, 3p
Publication Year :
2023

Abstract

Background: The sequential model predicts synaptic depletion as a downstream of amyloid, tau and neuroinflammation. However, synaptic toxicity might be consequence of toxic forms of amyloid in the absence of tau. In this study we explore the role of synaptic depletion and neuroinflammation as determinants of tau pathology. GAP‐43 and neurogranin are pre‐ and post‐synaptic biomarkers known to be detected at elevated levels in cerebrospinal fluid (CSF) of patients with Alzheimer's disease (AD). Method: We included 126 individuals from TRIAD cohort. Brain inflammation, tau tangle and amyloid‐β (Aβ) deposition were assessed via [11C]PBR28‐PET, [18F]MK6240‐PET and [18F]AZD4694‐PET, respectively. All patients had plasma GFAP quantified, and a subset of 78 individuals had CSF GFAP, CSF Neurogranin and CSF GAP‐43 quantifications available. Voxel and region of interest regression models evaluated the relationship between PET tracers and the fluid biomarkers. Models with [18F]AZD4694‐PET as the outcome were adjusted for [18F]MK6240‐PET voxel‐wise and vice‐versa. A linear regression interaction model evaluated the interaction between CSF GFAP and both synaptic biomarkers with Aβ‐ and tau‐PET as the outcome. Result: Positive associations were found between CSF neurogranin and Aβ‐, tau‐ and brain inflammation‐PET in AD related regions; the strongest associations were found with tau‐pet and CSF neurogranin in the medial temporal lobe. GAP‐43 was also positively associated with tau‐ and TSPO‐PET, but no associations were found with Aβ‐PET. Both plasma and CSF GFAP were associated with Aβ‐, tau‐ and TSPO‐PET in AD related regions, with the strongest t‐values in the model including plasma GFAP and amyloid‐PET. A negative interaction was found between CSF GFAP and both synaptic biomarkers with amyloid‐ and tau‐PET as the outcomes. These associations were stronger with tau‐PET and were found in the temporal, occipital and parietal areas. Conclusion: This study supports the role of synaptic dysfunction and neuroinflammation on tau load. As both synaptic biomarkers and GFAP increase as a function of tangles load, tau accumulation is linked to the relationship between synaptic abnormalities and inflammation in early stages of the disease. Our results suggest that synaptic depletion is a phenomenon that might start prior to tau tangles. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15525260
Volume :
19
Database :
Supplemental Index
Journal :
Alzheimer's & Dementia: The Journal of the Alzheimer's Association
Publication Type :
Academic Journal
Accession number :
174408417
Full Text :
https://doi.org/10.1002/alz.080593