The aim of this project is to further define the significance of the recently discovered increase in cerebral myo-inositol (ml), suggesting that INOSITOL metabolism is disordered. Increased inositol signal may thus be a newly identified diagnostic marker for Alzheimer disease (AD) that can be measured using magnetic resonance spectroscopy. One of the goals of this collaboration is to further define the enzymatic locus of defective inositol metabolism in AD using natural abundance 13C MRS at 4 Tesla to directly assay total-free inositol content of the brain in AD subjects, to exclude contributions from glycine to the diagnostic peak of mI in the 1H MR spectrum. Clinical spectra have been acquired at 1.5 Tesla using 1H MRS, where myo-inositol is essentially one prominent peak at 3.56 ppm. However, the signal change is small and could equally well be caused by increased glycerol, glycine or myo-inositol phosphate resonances, all of which resonate at the same chemical shift at 1.5 Tesla. 13C MRS can be used to distinguish these signals, since glycine resonates for example at a distinct chemical shift. Sensitivity at 1.5 Tesla does not permit observation of changes in the glycine concentration, which is typically 1?mol/g. The recent establishment of 13C MRS at 4 Tesla suggested that the sensitivity should be sufficient to define whether glycine, glycerol or phosphorylated inositol account for the signal change seen at 1.5 Tesla. We have already performed 13C studies on three patients who were flown over from California. The results demonstrated unequivocally that myo-inositol was elevated in these patients.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR008079-07
Application #
6122825
Study Section
Project Start
Project End
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
7
Fiscal Year
1999
Total Cost
Indirect Cost
Name
University of Minnesota Twin Cities
Department
Type
DUNS #
168559177
City
Minneapolis
State
MN
Country
United States
Zip Code
55455
Herzberg, Max P; Hodel, Amanda S; Cowell, Raquel A et al. (2018) Risk taking, decision-making, and brain volume in youth adopted internationally from institutional care. Neuropsychologia 119:262-270
U?urbil, Kamil (2018) Imaging at ultrahigh magnetic fields: History, challenges, and solutions. Neuroimage 168:7-32
Foell, Jens; Palumbo, Isabella M; Yancey, James R et al. (2018) Biobehavioral threat sensitivity and amygdala volume: A twin neuroimaging study. Neuroimage 186:14-21
Magnitsky, Sergey; Pickup, Stephan; Garwood, Michael et al. (2018) Imaging of a high concentration of iron labeled cells with positive contrast in a rat knee. Magn Reson Med :
Lee, Byeong-Yeul; Zhu, Xiao-Hong; Woo, Myung Kyun et al. (2018) Interleaved 31 P MRS imaging of human frontal and occipital lobes using dual RF coils in combination with single-channel transmitter-receiver and dynamic B0 shimming. NMR Biomed 31:
Wilson, Sylia; Malone, Stephen M; Hunt, Ruskin H et al. (2018) Problematic alcohol use and hippocampal volume in a female sample: disentangling cause from consequence using a co-twin control study design. Psychol Med 48:1673-1684
Bolan, Patrick J; Kim, Eunhee; Herman, Benjamin A et al. (2017) MR spectroscopy of breast cancer for assessing early treatment response: Results from the ACRIN 6657 MRS trial. J Magn Reson Imaging 46:290-302
Nelson, Brent G; Bassett, Danielle S; Camchong, Jazmin et al. (2017) Comparison of large-scale human brain functional and anatomical networks in schizophrenia. Neuroimage Clin 15:439-448
Lyzinski, Vince; Fishkind, Donniell E; Fiori, Marcelo et al. (2016) Graph Matching: Relax at Your Own Risk. IEEE Trans Pattern Anal Mach Intell 38:60-73
Ugurbil, Kamil (2016) What is feasible with imaging human brain function and connectivity using functional magnetic resonance imaging. Philos Trans R Soc Lond B Biol Sci 371:

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