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Investigating the Association Between the Gap-43 Concentration With Diffusion Tensor Imaging Indices in Alzheimer’S Dementia Continuum Publisher Pubmed



Ariaei A1, 2 ; Ghorbani A3 ; Habibzadeh E4 ; Moghaddam N5 ; Chegeni Nezhad N6 ; Abdoli A7 ; Mazinanian S8 ; Sadeghi M9 ; Mayeli M9
Authors
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Authors Affiliations
  1. 1. School of Medicine, Iran University of Medical Science, Hemmat Highway, Next to Milad Tower, Tehran, 1449614535, Iran
  2. 2. Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Department of Biology, Islamic Azad University East Tehran Branch, Tehran, Iran
  4. 4. School of Medicine, Tabriz University of Medical Science, Tabriz, Iran
  5. 5. Department of Clinical Biochemistry, Islamic Azad University Shahrood Branch, Shahrood, Iran
  6. 6. Department of Advanced Sciences and Technology, Islamic Azad University Tehran Medical Sciences, Tehran, Iran
  7. 7. Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Sciences, Centre Hospitalier Universitaire de Sherbrooke (CHUS), Universite de Sherbrooke, Sherbrooke, Canada
  8. 8. Department of Psychology, Islamic Azad University Semnan Branch, Semnan, Iran
  9. 9. School of Medicine, Tehran University of Medical Sciences, Tehran, Iran

Source: BMC Neurology Published:2024


Abstract

Background: Synaptic 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. Methods: A 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. Results: The CSF level of GAP-43 is negatively correlated with the mean diffusivity measures in Fornix (Cres)/Stria terminals in early and late MCI (rs=-0.478 p = 0.021 and rs=-0.425 p = 0.038). Additionally, the CSF level of GAP-43 is negatively correlated with fractional anisotropy in the cingulum in late MCI (rs=-0.437 p = 0.033). Moreover, the axial diffusivity in superior corona radiate (rs=-0.562 p = 0.005 and rs=-0.484 p = 0.036) and radial diffusivity in superior fronto-occipital fasciculus was negatively correlated with GAP-43 level in the early and mid-MCI participants (rs=-0.520 p = 0.011 and rs=-0.498 p = 0.030). Conclusions: Presynaptic 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. © The Author(s) 2024.