Noninvasive 3-Dimensional 1 H-Magnetic Resonance Spectroscopic Imaging of Human Brain Glucose and Neurotransmitter Metabolism Using Deuterium Labeling at 3T : Feasibility and Interscanner Reproducibility.
Male
Humans
Female
Adult
Deuterium
/ metabolism
Glutamine
/ metabolism
Glucose
/ metabolism
Prospective Studies
Reproducibility of Results
Feasibility Studies
Protons
Magnetic Resonance Imaging
/ methods
Brain
/ diagnostic imaging
Magnetic Resonance Spectroscopy
/ methods
Glutamates
/ metabolism
Neurotransmitter Agents
/ metabolism
Journal
Investigative radiology
ISSN: 1536-0210
Titre abrégé: Invest Radiol
Pays: United States
ID NLM: 0045377
Informations de publication
Date de publication:
01 06 2023
01 06 2023
Historique:
medline:
8
5
2023
pubmed:
4
2
2023
entrez:
3
2
2023
Statut:
ppublish
Résumé
Noninvasive, affordable, and reliable mapping of brain glucose metabolism is of critical interest for clinical research and routine application as metabolic impairment is linked to numerous pathologies, for example, cancer, dementia, and depression. A novel approach to map glucose metabolism noninvasively in the human brain has been presented recently on ultrahigh-field magnetic resonance (MR) scanners (≥7T) using indirect detection of deuterium-labeled glucose and downstream metabolites such as glutamate, glutamine, and lactate. The aim of this study was to demonstrate the feasibility to noninvasively detect deuterium-labeled downstream glucose metabolites indirectly in the human brain via 3-dimensional (3D) proton ( 1 H) MR spectroscopic imaging on a clinical 3T MR scanner without additional hardware. This prospective, institutional review board-approved study was performed in 7 healthy volunteers (mean age, 31 ± 4 years, 5 men/2 women) after obtaining written informed consent. After overnight fasting and oral deuterium-labeled glucose administration, 3D metabolic maps were acquired every ∼4 minutes with ∼0.24 mL isotropic spatial resolution using real-time motion-, shim-, and frequency-corrected echo-less 3D 1 H-MR spectroscopic Imaging on a clinical routine 3T MR system. To test the interscanner reproducibility of the method, subjects were remeasured on a similar 3T MR system. Time courses were analyzed using linear regression and nonparametric statistical tests. Deuterium-labeled glucose and downstream metabolites were detected indirectly via their respective signal decrease in dynamic 1 H MR spectra due to exchange of labeled and unlabeled molecules. Sixty-five minutes after deuterium-labeled glucose administration, glutamate + glutamine (Glx) signal intensities decreased in gray/white matter (GM/WM) by -1.63 ± 0.3/-1.0 ± 0.3 mM (-13% ± 3%, P = 0.02/-11% ± 3%, P = 0.02), respectively. A moderate to strong negative correlation between Glx and time was observed in GM/WM ( r = -0.64, P < 0.001/ r = -0.54, P < 0.001), with 60% ± 18% ( P = 0.02) steeper slopes in GM versus WM, indicating faster metabolic activity. Other nonlabeled metabolites showed no significant changes. Excellent intrasubject repeatability was observed across scanners for static results at the beginning of the measurement (coefficient of variation 4% ± 4%), whereas differences were observed in individual Glx dynamics, presumably owing to physiological variation of glucose metabolism. Our approach translates deuterium metabolic imaging to widely available clinical routine MR scanners without specialized hardware, offering a safe, affordable, and versatile (other substances than glucose can be labeled) approach for noninvasive imaging of glucose and neurotransmitter metabolism in the human brain.
Identifiants
pubmed: 36735486
doi: 10.1097/RLI.0000000000000953
pii: 00004424-202306000-00008
pmc: PMC10184811
doi:
Substances chimiques
Deuterium
AR09D82C7G
Glutamine
0RH81L854J
Glucose
IY9XDZ35W2
Protons
0
Glutamates
0
Neurotransmitter Agents
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
431-437Subventions
Organisme : NIBIB NIH HHS
ID : R01 EB031787
Pays : United States
Informations de copyright
Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.
Déclaration de conflit d'intérêts
Conflicts of interest and sources of funding: WEAVE I 6037 and NIH R01EB031787. P.B. was supported by the European Union's Horizon 2020 research and innovation program under a Marie Skłodowska-Curie grant agreement, no. 846793, and by a NARSAD Young Investigator Grant from the Brain and Behavior Research Foundation, no. 27238. This research was funded in whole, or part, by the Austrian Science Fund (FWF) WEAVE I 6037. For the purpose of open access, the author has applied a CC BY public copyright license to any author accepted manuscript version arising from this submission.
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