Early-stage mapping of macromolecular content in APP NL-F mouse model of Alzheimer's disease using nuclear Overhauser effect MRI.
Autor: | Swain A; School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States.; Center for Advanced Metabolic Imaging in Precision Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States., Soni ND; Center for Advanced Metabolic Imaging in Precision Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States., Wilson N; Center for Advanced Metabolic Imaging in Precision Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States., Juul H; Center for Advanced Metabolic Imaging in Precision Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States., Benyard B; School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States.; Center for Advanced Metabolic Imaging in Precision Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States., Haris M; Center for Advanced Metabolic Imaging in Precision Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States., Kumar D; Center for Advanced Metabolic Imaging in Precision Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States., Nanga RPR; Center for Advanced Metabolic Imaging in Precision Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States., Detre J; Center for Functional Neuroimaging, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States., Lee VM; Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.; Alzheimer's Disease Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States., Reddy R; Center for Advanced Metabolic Imaging in Precision Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States. |
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Jazyk: | angličtina |
Zdroj: | Frontiers in aging neuroscience [Front Aging Neurosci] 2023 Oct 09; Vol. 15, pp. 1266859. Date of Electronic Publication: 2023 Oct 09 (Print Publication: 2023). |
DOI: | 10.3389/fnagi.2023.1266859 |
Abstrakt: | Non-invasive methods of detecting early-stage Alzheimer's disease (AD) can provide valuable insight into disease pathology, improving the diagnosis and treatment of AD. Nuclear Overhauser enhancement (NOE) MRI is a technique that provides image contrast sensitive to lipid and protein content in the brain. These macromolecules have been shown to be altered in Alzheimer's pathology, with early disruptions in cell membrane integrity and signaling pathways leading to the buildup of amyloid-beta plaques and neurofibrillary tangles. We used template-based analyzes of NOE MRI data and the characteristic Z-spectrum, with parameters optimized for increase specificity to NOE, to detect changes in lipids and proteins in an AD mouse model that recapitulates features of human AD. We find changes in NOE contrast in the hippocampus, hypothalamus, entorhinal cortex, and fimbria, with these changes likely attributed to disruptions in the phospholipid bilayer of cell membranes in both gray and white matter regions. This study suggests that NOE MRI may be a useful tool for monitoring early-stage changes in lipid-mediated metabolism in AD and other disorders with high spatial resolution. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 Swain, Soni, Wilson, Juul, Benyard, Haris, Kumar, Nanga, Detre, Lee and Reddy.) |
Databáze: | MEDLINE |
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