Henk M. De Feyter1, Monique A. Thomas1, Peter B. Brown1, Akshay Khunte1, and Robin A. de Graaf1
1Dept. of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States
Synopsis
Deuterium Metabolic Imaging (DMI) is a novel approach
providing high spatial resolution 3D metabolic data by combining 2H MRSI with
administration of 2H-labeled substrates (1). Mapping of brain glucose
metabolism has so far been focused on human and rat. Here we report the
implementation of DMI for mapping of glucose metabolism in mouse brain. We
described the dedicated radiofrequency coil, explore how different glucose
administration approaches affect SNR, and illustrate mapping of glucose
metabolism in a mouse model of glioblastoma.
Introduction
Deuterium Metabolic Imaging (DMI) is a novel approach
providing high spatial resolution 3D metabolic data by combining 2H MRSI with
administration of 2H-labeled substrates (1). DMI of brain glucose
metabolism has so far been focused on human and rat brain. However, preclinical
neurological research relies for a great part on mouse models of disease, which
motivates implementing DMI for brain studies in mice.
When DMI is used to map steady state 2H-labeling in downstream
metabolites of glucose, different options for glucose administration are
available. We explored both intraperitoneal (IP) infusion, and intravenous (IV)
infusion via a tail vein catheter. IV infusion is the most efficient method to quickly
attain high levels of labeled glucose in the blood. However, an IV infusion
line is not always easy to establish in mice, and particularly challenging when
repeated DMI scans are required. We explored how the SNR of 2H-labeled
glutamate+glutamine (Glx), which is labeled via oxidative metabolism of
2H-glucose, is affected by IV and IP infusions.
[6,6’-2H2]-glucose is most commonly used for DMI studies,
and its metabolism leads to one unlabeled and one 2H-labeled pyruvate/lactate
molecule per glucose molecule. Having a deuteron on the 1st carbon position
of glucose results in two labeled trioses and would increase the SNR for
detection of 2H-labeled lactate and Glx. We therefore explored the use of
[1,2,3,4,5,6,6’-2H7]-glucose, and compared the difference in SNR for 2H-labeled
Glx with [6,6’-2H2]-glucose infusions. Lastly, DMI was used to map 2H-lactate production
in a mouse model of glioblastoma to illustrate the capability of DMI to visualize
localized differences in 2H-glucose metabolism in mouse brain, in vivo. Materials and Methods
Healthy and glioma-bearing B6(Cg)-Tyrc-2J/J mice, (n=8) were
studied. Glioma-bearing mice were generated by intracerebral injection of GL261 cells (100,000 cells), as
described previously for rat glioma models (2). Glucose administration was
performed via an infusion line placed in the lateral tail vein (IV), or in the lower
right quadrant of the abdomen (IP).
Solutions (1 M, in sterile water) of [6,6’-2H2]-glucose (“D2”) and [1,2,3,4,5,6,6’-2H7]-glucose (“D7”) (Cambridge Isotope Laboratories, MA,
USA) were administered using a syringe pump (Harvard Apparatus, MA, USA),
following a bolus-continuous infusion protocol, for both IV and IP infusions. DMI
acquisition started at 90 min and 120 min following the start of the IV and IP infusions,
respectively.
All animal studies were performed on an 11.74 T Magnex
magnet (Magnex Scientific Ltd.) interfaced to a Bruker Avance III HD
spectrometer running on ParaVision 6 (Bruker Instruments), as described
previously (1). A double-turn 2H radiofrequency
(RF) coil was used, shaped to fit the head of mice, and sized (14x12
mm2) to cover the whole mouse brain, combined with a single turn 1H surface
coil for shimming and MRI as illustrated in Fig. 1. DMI data were acquired at
nominal spatial resolutions of 5 uL and 8 uL using a 11x11x11 matrix and FOVs
of 18.8x18.8x18.8 mm3, and 22x22x22 mm3, respectively, with spherical k-space
encoding. Using a TR of 400 ms and 8 averages, acquisition of 3D DMI dataset required
~36 min.
All 1H MRI and 2H DMI data were
processed in DMIWizard, a home-written graphical user interface in Matlab.
Preliminary SNR analysis based on peak height of Glx in voxels located within
the mouse brain was performed to reveal differences between 2H-labeled glucose types
and infusion protocols. Results
Figure 2 shows DMI-based metabolic maps of 2H-labeled Glx overlaid
on coronal anatomical MR images, and examples of individual 2H MR spectra originating
from the indicated 5 uL voxel. The data shown in Figure 2A were acquired 90 min after
the start of IV infusion of D7-glucose. The data in Figure 2B were acquired 120 min
after IP infusion of D2-glucose. Note the broader peak of D7-glucose compared
to D2-glucose in the 2H MR spectra, and the visually lower SNR for Glx and
lactate. Figure 3 provides an overview of different levels of 2H-labeled Glx
SNR across different infusion methods, types of 2H-labeled glucose, and spatial
resolution of DMI. DMI of glucose metabolism in a glioblastoma-bearing mouse is
shown in Figure 4, which depicts the map of 2H-labeled lactate, illustrating
the local increase in labeled lactate in the tumor region. Discussion
Using a simple RF coil design we showed that DMI of glucose
metabolism in mouse brain is feasible, achieving a nominal spatial resolution
of 5 uL in a 35 min acquisition. A clear SNR advantage is achieved by using
glucose that is labeled in both the 1st and 6th carbon
position. Note that we used D7-glucose because [1,6,6’-2H3]-glucose is not
readily commercially available. The deuterons on carbons 2,3,4 and 5 do not
contribute to labeling of Glx or lactate. During IV infusion of 2H-labeled glucose
Glx reaches steady state faster than IP infusion (data not shown). However, when
taking this delay into account and starting DMI acquisition 120 min after start
of IP infusion, DMI data can be acquired with similar SNR than during IV
infusion. Conclusion
DMI of glucose metabolism in mouse brain is feasible, with
the highest SNR being achieved by using D7-glucose administered via intravenous
infusion. Regional differences in glucose metabolism were clearly visualized
using DMI in the GL261 mouse model of glioblastoma. Acknowledgements
This
research was supported by NIH grant R01- EB025840.References
1.
De Feyter HM, Behar KL, Corbin ZA, et al. Deuterium metabolic imaging (DMI) for
MRI-based 3D mapping of metabolism in vivo. Sci. Adv. 2018;4:eaat7314 doi:
10.1126/sciadv.aat7314.
2. De Feyter HM, Behar KL, Rao JU, et al. A ketogenic
diet increases transport and oxidation of ketone bodies in RG2 and 9L gliomas
without affecting tumor growth. Neuro-Oncol. 2016;18:1079–1087 doi:
10.1093/neuonc/now088.