Chemical exchange saturation transfer MRI shows low cerebral 2-deoxy-D-glucose uptake in a model of Alzheimer’s Disease View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Daniele Tolomeo, Edoardo Micotti, Sonia Colombo Serra, Michael Chappell, Anniina Snellman, Gianluigi Forloni

ABSTRACT

Glucose is the central nervous system's only energy source. Imaging techniques capable to detect pathological alterations of the brain metabolism are useful in different diagnostic processes. Such techniques are also beneficial for assessing the evaluation efficacy of therapies in pre-clinical and clinical stages of diseases. Chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) is a possible alternative to positron emission tomography (PET) imaging that has been widely explored in cancer research in humans and animal models. We propose that pathological alterations in brain 2-deoxy-D-glucose (2DG) uptake, typical of neurodegenerative diseases, can be detected with CEST MRI. Transgenic mice overexpressing a mutated form of amyloid precusrsor protein (APP23), a model of Alzheimer's disease, analyzed with CEST MRI showed a clear reduction of 2DG uptake in different brain regions. This was reminiscent of the cerebral condition observed in Alzheimer's patients. The results indicate the feasibility of CEST for analyzing the brain metabolic state, with better image resolution than PET in experimental models. More... »

PAGES

9576

References to SciGraph publications

  • 2010-02. The use of PET in Alzheimer disease in NATURE REVIEWS NEUROLOGY
  • 2014-12. Longitudinal PET-MRI reveals β-amyloid deposition and rCBF dynamics and connects vascular amyloidosis to quantitative loss of perfusion in NATURE MEDICINE
  • 2011-06. APP Transgenic Mice: Their Use and Limitations in NEUROMOLECULAR MEDICINE
  • 2009-07. Limitations of Small Animal PET Imaging with [18F]FDDNP and FDG for Quantitative Studies in a Transgenic Mouse Model of Alzheimer’s Disease in MOLECULAR IMAGING AND BIOLOGY
  • 2017-12. Quantitative chemical exchange saturation transfer (CEST) MRI of glioma using Image Downsampling Expedited Adaptive Least-squares (IDEAL) fitting in SCIENTIFIC REPORTS
  • 2015-12. Direct neuronal glucose uptake heralds activity-dependent increases in cerebral metabolism in NATURE COMMUNICATIONS
  • 2017-12. Tau PET imaging: present and future directions in MOLECULAR NEURODEGENERATION
  • 2008-12. Regional analysis of FDG and PIB-PET images in normal aging, mild cognitive impairment, and Alzheimer’s disease in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2013-12. Molecular imaging of tumors and metastases using chemical exchange saturation transfer (CEST) MRI in SCIENTIFIC REPORTS
  • 2013-08. In vivo quantitative whole-brain diffusion tensor imaging analysis of APP/PS1 transgenic mice using voxel-based and atlas-based methods in NEURORADIOLOGY
  • 2015-12. In vivo molecular neuroimaging of glucose utilization and its association with fibrillar amyloid-β load in aged APPPS1-21 mice in ALZHEIMER'S RESEARCH & THERAPY
  • 2017-12. Fast and Quantitative T1ρ-weighted Dynamic Glucose Enhanced MRI in SCIENTIFIC REPORTS
  • 2009-05. FDG-PET changes in brain glucose metabolism from normal cognition to pathologically verified Alzheimer’s disease in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2016-12. Glucosamine and N-acetyl glucosamine as new CEST MRI agents for molecular imaging of tumors in SCIENTIFIC REPORTS
  • 2013-08. In vivo imaging of glucose uptake and metabolism in tumors in NATURE MEDICINE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41598-018-27839-7

    DOI

    http://dx.doi.org/10.1038/s41598-018-27839-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1104915699

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29934551


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