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  Dynamic observation of 2H labeled compounds in the human brain with 1H versus 2H magnetic resonance spectroscopy at 9.4T

Ruhm, L., Ziegs, T., Wright, A., Mathy, C., Murali-Manohar, S., Dorst, J., et al. (submitted). Dynamic observation of 2H labeled compounds in the human brain with 1H versus 2H magnetic resonance spectroscopy at 9.4T.

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 Creators:
Ruhm, L1, 2, Author              
Ziegs, T1, 2, Author              
Wright, AM1, 2, Author              
Mathy, CS, Author
Murali-Manohar, S1, 2, Author              
Dorst, J1, 2, Author              
Avdievich, N1, 2, Author              
Henning, A1, 2, Author              
Affiliations:
1Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528692              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: The metabolic pathway of [6,6’-2H2]-labeled glucose was investigated with two different techniques. The first technique used direct detection of deuterium applying Deuterium Metabolic Imaging (DMI). The second technique used the indirect detection of deuterium with proton MR spectroscopy (MRS) called Quantitative Exchanged-label Turnover (QELT) MRS. For the first time, time-resolved data was acquired for both techniques in the same healthy human subjects and directly compared. The time-curves were used in a kinetic model to estimate rates of the metabolic pathway of glucose. Two different kinetic models were compared. One included only DMI data, the second one combined DMI and QELT. For the first model, a tricarboxylic acid (TCA) cycle rate of 0.69 ± 0.10 μmol·min-1·g-1 was determined. For the second model, the estimated TCA cycle rate was 0.68 ± 0.12 μmol·min-1·g-1. In addition, the rate of glutamine synthesis from glutamate could be estimated with model 2 (0.51 ± 0.15 μmol·min-1·g-1). The sensitivity of both methods was evaluated and compared to alternative techniques.

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 Dates: 2022-01
 Publication Status: Submitted
 Pages: -
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 Identifiers: DOI: 10.1101/2022.01.24.477582
 Degree: -

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