Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published April 15, 2012 | Accepted Version
Journal Article Open

Deficits in axonal transport in hippocampal-based circuitry and the visual pathway in APP knock-out animals witnessed by manganese enhanced MRI


Mounting evidence implicates axonal transport defects, typified by the presence of axonal varicosities with aberrant accumulations of cargo, as an early event in Alzheimer's disease (AD) pathogenesis. Work identifying amyloid precursor protein (APP) as a vesicular motor receptor for anterograde axonal transport further implicates axonal transport in AD. Manganese-enhanced MRI (MEMRI) detects axonal transport dynamics in preclinical studies. Here we pursue an understanding of the role of APP in axonal transport in the central nervous system by applying MEMRI to hippocampal circuitry and to the visual pathway in living mice homozygous for either wild type or a deletion in the APP gene (n = 12 for each genotype). Following intra-ocular or stereotaxic hippocampal injection, we performed time-lapse MRI to detect Mn^(2+) transport. Three dimensional whole brain datasets were compared on a voxel-wise basis using within-group pair-wise analysis. Quantification of transport to structures connected to injection sites via axonal fiber tracts was also performed. Histology confirmed consistent placement of hippocampal injections and no observable difference in glial-response to the injections. APP−/− mice had significantly reduced transport from the hippocampus to the septal nuclei and amygdala after 7 h and reduced transport to the contralateral hippocampus after 25 h; axonal transport deficits in the APP−/− animals were also identified in the visual pathway. These data support a system-wide role for APP in axonal transport within the central nervous system and demonstrate the power of MEMRI for assessing neuronal circuitry involved in memory and learning.

Additional Information

© 2012 Elsevier Inc. Received 21 October 2011. Revised 24 January 2012. Accepted 25 January 2012. Available online 10 February 2012. We would like to acknowledge the contributions of Dr. Benoit Boulat for help with MR imaging and Grace Cai for help with image pre-processing; Kathleen Kilpatrick for lab management and coordination of projects; Aaron Gonzales and Anna Vestling for digital image analysis support in the Bearer lab; and Drs. Art Toga and Ivo Dinov and graduate student Alen Zamanyan at the Laboratory for NeuroImaging at UCLA for invaluable assistance with LONI pipeline and TBM analysis. This project was funded in part by NINDS NS062184 (ELB) and the Beckman Institute (REJ).

Attached Files

Accepted Version - nihms356744.pdf


Files (6.0 MB)
Name Size Download all
6.0 MB Preview Download

Additional details

August 22, 2023
October 17, 2023