Impaired glucose metabolism in the brain has been linked to several neurological disorders. Positron emission tomography and carbon-13 magnetic resonance spectroscopic imaging (MRSI) can be used to quantify the metabolism of glucose, but these methods involve exposure to radiation, cannot quantify downstream metabolism, or have poor spatial resolution. Deuterium MRSI (2H-MRSI) is a non-invasive and safe alternative for the quantification of the metabolism of 2H-labelled substrates such as glucose and their downstream metabolic products, yet it can only measure a limited number of deuterated compounds and requires specialized hardware. Here we show that proton MRSI (1H-MRSI) at 7 T has higher sensitivity, chemical specificity and spatiotemporal resolution than 2H-MRSI. We used 1H-MRSI in five volunteers to differentiate glutamate, glutamine, γ-aminobutyric acid and glucose deuterated at specific molecular positions, and to simultaneously map deuterated and non-deuterated metabolites. 1H-MRSI, which is amenable to clinically available magnetic-resonance hardware, may facilitate the study of glucose metabolism in the brain and its potential roles in neurological disorders.
|Original language||English (US)|
|Journal||Nature Biomedical Engineering|
|State||Accepted/In press - 2023|
Bibliographical noteFunding Information:
We thank P. Bolan of the Center for Magnetic Resonance Research, University of Minnesota, and C. Rogers, University of Cambridge, for providing a tool to store and apply 7 T B-shims for the 7 T MR scanner; V. Mlynarik for helpful discussions; and the study participants whose help is greatly appreciated. P.B. was supported by the European Union’s Horizon 2020 research and innovation programme 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). A.S. received funding from the European Union’s Horizon 2020 research and from an innovation programme under a Marie Skłodowska-Curie grant (agreement no. 794986). The authors acknowledge support from the Austrian Science Fund (FWF) (grants P 30701 and KLI 718 to W.B., I 6037 to B.S., KLI 782 to T.S., and KLI 646 to G.H.). W.B. acknowledges the support of the following NIH grant: R01EB031787. D.K.D. acknowledges support from the following National Institutes of Health grants: BTRC P41 EB027061 and P30 NS076408 0
© 2023, The Author(s), under exclusive licence to Springer Nature Limited.
PubMed: MeSH publication types
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