ArticleBMC neurology2024
Investigating the association between the GAP-43 concentration with diffusion tensor imaging indices in Alzheimer's dementia continuum.
Article in BMC neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Metabolic profile association with white matter hyperintensity in patients with mild cognitive impairment.IBRO neuroscience reports · 2026Article
- Elevated CSF GAP-43 is associated with reduced cerebral glucose metabolism and cognitive impairment in individuals with mild cognitive impairment.Brain imaging and behavior · 2026Article
- Association of pulse pressure with presynaptic dysfunction in older adults with Alzheimer's disease: a cohort study.Scientific reports · 2025Article
- Glial reactivity correlates with synaptic dysfunction across aging and Alzheimer's disease.Nature communications · 2025Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSynaptic degeneration, axonal injury, and white matter disintegration are among the pathological events in Alzheimer's disease (AD), for which growth-associated protein 43 (GAP-43) and diffusion tensor imaging (DTI) could be an indicator. In this study, the cerebrospinal fluid (CSF) GAP-43 clinical trajectories and their association with progression and AD hallmarks with white matter microstructural changes were evaluated.
methodsA total number of 133 participants were enrolled in GAP-43 and DTI values were compared between groups, both cross-sectionally and longitudinally with two and four-year follow-ups. Subsequently, the correlation between GAP-43 levels in the CSF and DTI values was investigated using Spearman's correlation.
resultsThe CSF level of GAP-43 is negatively correlated with the mean diffusivity measures in Fornix (Cres)/Stria terminals in early and late MCI (r
conclusionsPresynaptic marker GAP-43 in combination with DTI can be used as a novel biomarker to identify microstructural synaptic degeneration in the early MCI. In addition, it can be used as a biomarker for tracking the progression of AD and monitoring treatment efficacy.
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