Growth-associated protein 43 and tensor-based morphometry indices in mild cognitive impairment

Author:

Seyedmirzaei Homa1,Salmannezhad Amirhossein2,Ashayeri Hamidreza3,Shushtari Ali4,Farazinia Bita5,Heidari Mohammad Mahdi6,Momayezi Amirali7,Baher Sara Shaki5

Affiliation:

1. Tehran University of Medical Sciences

2. Ghazvin University of Medical Sciences

3. Tabriz University of Medical Sciences

4. Mazandaran University of Medical Sciences

5. Islamic Azad University

6. Kashan University of Medical Sciences

7. Iran University of Science and Technology

Abstract

Abstract Background Growth-associated protein 43 (GAP-43) is found in the axonal terminal of neurons in the limbic system, which is affected in people with Alzheimer's disease (AD). We assumed GAP-43 may contribute to AD progression and serve as a biomarker. So, in a two-year follow-up study, we assessed GAP-43 changes and whether they are correlated with tensor-based morphometry (TBM) findings in patients with mild cognitive impairment (MCI). Methods We included MCI and cognitively normal (CN) people with available baseline and follow-up cerebrospinal fluid (CSF) GAP-43 and TBM findings from the ADNI database. We assessed the difference between the two groups and correlations in each group at each time point. Results CSF GAP-43 and TBM measures were similar in the two study groups in all time points, except for the accelerated anatomical region of interest (ROI) of CN subjects that were significantly greater than those of MCI. The only significant correlations with GAP-43 observed were those inverse correlations with accelerated and non-accelerated anatomical ROI in MCI subjects at baseline. Plus, all TBM metrics decreased significantly in all study groups during the follow-up in contrast to CSF GAP-43 levels. Conclusions Our study revealed significant associations between CSF GAP-43 levels and TBM indices among people of the AD spectrum.

Publisher

Research Square Platform LLC

Reference64 articles.

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4. SMASH, SENSE, PILS, GRAPPA: how to choose the optimal method;Blaimer M;Top Magn Reson Imaging,2004

5. Global, voxel, and cluster tests, by theory and permutation, for a difference between two groups of structural MR images of the brain;Bullmore ET;IEEE Trans Med Imaging,1999

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