Quantitative mapping of key glucose metabolic rates in the human brain using dynamic deuterium magnetic resonance spectroscopic imaging

Xin Li; Xiao-Hong Zhu; Yudu Li; Tao Wang; Guangle Zhang; Hannes M Wiesner; Zhi-Pei Liang; Wei Chen

doi:10.1093/pnasnexus/pgaf072

Quantitative mapping of key glucose metabolic rates in the human brain using dynamic deuterium magnetic resonance spectroscopic imaging

PNAS Nexus. 2025 Mar 3;4(3):pgaf072. doi: 10.1093/pnasnexus/pgaf072. eCollection 2025 Mar.

Authors

Xin Li¹, Xiao-Hong Zhu¹, Yudu Li^{2

3}, Tao Wang¹, Guangle Zhang¹, Hannes M Wiesner¹, Zhi-Pei Liang^{2

4}, Wei Chen^{1

5

6}

Affiliations

¹ Center for Magnetic Resonance Research (CMRR), Department of Radiology, University of Minnesota, 2021 6th St SE, Minneapolis, MN 55455, USA.
² Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
³ National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
⁴ Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
⁵ Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
⁶ Stem Cell Institute, University of Minnesota, Minneapolis, MN 55455, USA.

Abstract

Deuterium (²H) magnetic resonance spectroscopic imaging (DMRSI) is a newly developed technology for assessing glucose metabolism by simultaneously measuring deuterium-labeled glucose and its downstream metabolites (1) and has a potential to provide a powerful neurometabolic imaging tool for quantitative studies of cerebral glucose metabolism involving multiple metabolic pathways in the human brain. In this work, we developed a dynamic DMRSI method that combines advanced radiofrequency coil and postprocessing techniques to substantially improve the imaging signal-to-noise ratio for detecting deuterated metabolites and enable robust dynamic DMRSI of the human brain at 7 T with very high resolution (HR; 0.7 cc nominal voxel and 2.5 min/image) and whole-brain coverage. Utilizing this capability, we were able to map and differentiate metabolite contents and dynamics throughout the human brain following oral administration of deuterated glucose. Furthermore, by introducing a sophisticated kinetic model, we demonstrated that three key cerebral metabolic rates of glucose consumption (CMR_Glc), lactate production (CMR_Lac), and tricarboxylic acid (TCA) cycle (V _TCA), as well as the maximum apparent rate of forward glucose transport (T _max) can be simultaneously imaged in the human brain through a single dynamic DMRSI measurement. The results clearly show that the glucose transport, neurotransmitter turnover, CMR_Glc, and V _TCA are significantly higher in gray matter than in white matter in the human brain; and the mean metabolic rates and their ratios measured in this study are consistent with the values reported in the literature. The HR dynamic DMRSI methodology presented herein is of great significance and value for the quantitative assessment of human brain glucose metabolism, aerobic glycolysis, and metabolic reprogramming under physiopathological conditions.

Keywords: Biological; Health; aerobic glycolysis; and Medical Sciences/neuroscience; cerebral glucose metabolism; dynamic DMRSI; imaging human brain glucose metabolic rates.