CSF total tau as a proxy of synaptic degeneration
Aug 29, 2025·,,,,,,,,,
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Carolina Soares
Bruna Bellaver
Pamela C. L. Ferreira
Guilherme Povala
Cristiano Schaffer Aguzzoli
João Pedro Ferrari-Souza
Hussein Zalzale
Firoza Z. Lussier
Francieli Rohden
Sarah Abbas
Guilherme Bauer-Negrini
Douglas Teixeira Leffa
Andréa L. Benedet
Rebecca Langhough
Tobey J. Betthauser
Bradley T. Christian
Rachael E. Wilson
Dana L. Tudorascu
Pedro Rosa-Neto
Thomas K. Karikari
Henrik Zetterberg
Kaj Blennow
Eduardo R. Zimmer
Sterling C. Johnson
Tharick A. Pascoal
Abstract
Cerebrospinal fluid (CSF) total tau (t-tau) is considered a biomarker of neuronal degeneration alongside brain atrophy and fluid neurofilament light chain protein (NfL) in biomarker models of Alzheimer’s disease (AD). However, previous studies show that CSF t-tau correlates strongly with synaptic dysfunction/degeneration biomarkers like neurogranin (Ng) and synaptosomal-associated protein 25 (SNAP25). Here, we compare the association between CSF t-tau and synaptic degeneration and axonal/neuronal degeneration biomarkers in cognitively unimpaired and impaired groups from two independent cohorts. We observe a stronger correlation between CSF t-tau and synaptic biomarkers than neurodegeneration biomarkers in both groups. Synaptic biomarkers explain a greater proportion of variance in CSF t-tau levels compared to neurodegeneration biomarkers. Notably, CSF t-tau levels are elevated in individuals with abnormalities only in synaptic biomarkers, but not in individuals with abnormalities only in neurodegeneration biomarkers. Our findings suggest that CSF t-tau is a closer proxy for synaptic degeneration than for axonal/neuronal degeneration.
Type
Publication
Nature Communications
Status
Peer-reviewed

Authors
Biomedical Data Scientist
Computational neuroscientist working at the intersection of machine learning, biomedical
imaging, and human genetics in neurodegenerative disease. My work applies deep learning to
high-dimensional medical images and integrates imaging with genomic, proteomic, and
longitudinal clinical data to characterise Alzheimer’s disease and related dementias, with
particular focus on fluid and imaging biomarkers of neurodegeneration.