Literature DB >> 34127752

In vivo multi-parametric manganese-enhanced MRI for detecting amyloid plaques in rodent models of Alzheimer's disease.

Eugene Kim1, Davide Di Censo2, Mattia Baraldo3, Camilla Simmons4, Ilaria Rosa2, Karen Randall4, Clive Ballard5, Ben R Dickie6, Steven C R Williams7, Richard Killick3, Diana Cash4.   

Abstract

Amyloid plaques are a hallmark of Alzheimer's disease (AD) that develop in its earliest stages. Thus, non-invasive detection of these plaques would be invaluable for diagnosis and the development and monitoring of treatments, but this remains a challenge due to their small size. Here, we investigated the utility of manganese-enhanced MRI (MEMRI) for visualizing plaques in transgenic rodent models of AD across two species: 5xFAD mice and TgF344-AD rats. Animals were given subcutaneous injections of MnCl2 and imaged in vivo using a 9.4 T Bruker scanner. MnCl2 improved signal-to-noise ratio but was not necessary to detect plaques in high-resolution images. Plaques were visible in all transgenic animals and no wild-types, and quantitative susceptibility mapping showed that they were more paramagnetic than the surrounding tissue. This, combined with beta-amyloid and iron staining, indicate that plaque MR visibility in both animal models was driven by plaque size and iron load. Longitudinal relaxation rate mapping revealed increased manganese uptake in brain regions of high plaque burden in transgenic animals compared to their wild-type littermates. This was limited to the rhinencephalon in the TgF344-AD rats, while it was most significantly increased in the cortex of the 5xFAD mice. Alizarin Red staining suggests that manganese bound to plaques in 5xFAD mice but not in TgF344-AD rats. Multi-parametric MEMRI is a simple, viable method for detecting amyloid plaques in rodent models of AD. Manganese-induced signal enhancement can enable higher-resolution imaging, which is key to visualizing these small amyloid deposits. We also present the first in vivo evidence of manganese as a potential targeted contrast agent for imaging plaques in the 5xFAD model of AD.

Entities:  

Year:  2021        PMID: 34127752     DOI: 10.1038/s41598-021-91899-5

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  39 in total

1.  Manganese-enhanced magnetic resonance imaging (MEMRI).

Authors:  Cynthia A Massaad; Robia G Pautler
Journal:  Methods Mol Biol       Date:  2011

2.  Identification of changes in neuronal function as a consequence of aging and tauopathic neurodegeneration using a novel and sensitive magnetic resonance imaging approach.

Authors:  Sarah N Fontaine; Alexandria Ingram; Ryan A Cloyd; Shelby E Meier; Emily Miller; Danielle Lyons; Grant K Nation; Elizabeth Mechas; Blaine Weiss; Chiara Lanzillotta; Fabio Di Domenico; Frederick Schmitt; David K Powell; Moriel Vandsburger; Jose F Abisambra
Journal:  Neurobiol Aging       Date:  2017-04-18       Impact factor: 4.673

3.  Fast in vivo imaging of amyloid plaques using μ-MRI Gd-staining combined with ultrasound-induced blood-brain barrier opening.

Authors:  Mathieu D Santin; Thomas Debeir; S Lori Bridal; Thomas Rooney; Marc Dhenain
Journal:  Neuroimage       Date:  2013-05-07       Impact factor: 6.556

Review 4.  Development of positron emission tomography β-amyloid plaque imaging agents.

Authors:  Chester A Mathis; N Scott Mason; Brian J Lopresti; William E Klunk
Journal:  Semin Nucl Med       Date:  2012-11       Impact factor: 4.446

5.  Gadolinium-staining reveals amyloid plaques in the brain of Alzheimer's transgenic mice.

Authors:  Alexandra Petiet; Mathieu Santin; Anne Bertrand; Christopher J Wiggins; Fanny Petit; Diane Houitte; Philippe Hantraye; Jesus Benavides; Thomas Debeir; Thomas Rooney; Marc Dhenain
Journal:  Neurobiol Aging       Date:  2011-04-30       Impact factor: 4.673

6.  In vivo visualization of Alzheimer's amyloid plaques by magnetic resonance imaging in transgenic mice without a contrast agent.

Authors:  Clifford R Jack; Michael Garwood; Thomas M Wengenack; Bret Borowski; Geoffrey L Curran; Joseph Lin; Gregor Adriany; Olli H J Gröhn; Roger Grimm; Joseph F Poduslo
Journal:  Magn Reson Med       Date:  2004-12       Impact factor: 4.668

7.  Multivariate MR biomarkers better predict cognitive dysfunction in mouse models of Alzheimer's disease.

Authors:  Alexandra Badea; Natalie A Delpratt; R J Anderson; Russell Dibb; Yi Qi; Hongjiang Wei; Chunlei Liu; William C Wetsel; Brian B Avants; Carol Colton
Journal:  Magn Reson Imaging       Date:  2019-03-30       Impact factor: 2.546

Review 8.  Manganese in PET imaging: Opportunities and challenges.

Authors:  Marie Brandt; Jens Cardinale; Ivo Rausch; Thomas L Mindt
Journal:  J Labelled Comp Radiopharm       Date:  2019-06-30       Impact factor: 1.921

9.  In vivo functional brain mapping in a conditional mouse model of human tauopathy (tauP301L) reveals reduced neural activity in memory formation structures.

Authors:  Pablo D Perez; Gabrielle Hall; Tetsuya Kimura; Yan Ren; Rachel M Bailey; Jada Lewis; Marcelo Febo; Naruhiko Sahara
Journal:  Mol Neurodegener       Date:  2013-02-04       Impact factor: 14.195

10.  Spatial learning and memory impairments are associated with increased neuronal activity in 5XFAD mouse as measured by manganese-enhanced magnetic resonance imaging.

Authors:  Xiang Tang; Di Wu; Li-Hua Gu; Bin-Bin Nie; Xin-Yang Qi; Yan-Juan Wang; Fang-Fang Wu; Xiao-Li Li; Feng Bai; Xiao-Chun Chen; Lin Xu; Qing-Guo Ren; Zhi-Jun Zhang
Journal:  Oncotarget       Date:  2016-09-06
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  3 in total

Review 1.  Magnetic Resonance Imaging in Animal Models of Alzheimer's Disease Amyloidosis.

Authors:  Ruiqing Ni
Journal:  Int J Mol Sci       Date:  2021-11-25       Impact factor: 5.923

Review 2.  Neuroimaging of Mouse Models of Alzheimer's Disease.

Authors:  Amandine Jullienne; Michelle V Trinh; Andre Obenaus
Journal:  Biomedicines       Date:  2022-01-28

3.  Age-dependent microstructure alterations in 5xFAD mice by high-resolution diffusion tensor imaging.

Authors:  Surendra Maharjan; Andy P Tsai; Peter B Lin; Cynthia Ingraham; Megan R Jewett; Gary E Landreth; Adrian L Oblak; Nian Wang
Journal:  Front Neurosci       Date:  2022-08-17       Impact factor: 5.152

  3 in total

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