Abigail T.J. Cember1, Laurie J. Rich1, Puneet Bagga1, Neil E. Wilson2, Ravi Prakash Reddy Nanga1, Deepa Thakuri1, Mark Elliott1, Mitchell D. Schnall3, John A. Detre4, and Ravinder Reddy1
1Center for Magnetic Resonance and Optical Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Siemens Medical Solutions, USA, Malvern, PA, United States, 3Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 4Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
Synopsis
Here we present spectroscopic and chemical shift imaging data from the brains of healthy human subjects acquired using a novel method termed qMRS, which enables tracking of metabolic turnover with the inherent sensitivity of 1H MRS and widespread applicability
using standard 1H-based clinical MRI scanners. We demonstrate the
feasibility of using qMRS and its corollary chemical shift imaging technique (qCSI)
to monitor the temporal and spatial dynamics of metabolite labelling in the
human brain following oral consumption of deuterium-labeled glucose. Unlike the related technique of deuterium metabolic imaging (DMI), qMRS does not require implementation of multinuclear MR spectroscopy.
Introduction
Quantitative
exchange label turnover MRS (qMRS) is a recently developed strategy which
increases the range of applications for magnetic resonance based metabolic
mapping without the requirement for specialized hardware1. Similar to
recently developed deuterium metabolic imaging (DMI)2, this technique relies
on the administration of deuterium labeled glucose, resulting in accumulation
of downstream 2H labeled metabolites. Since the 2H
label is invisible in 1H MRS, accumulation of labeled
metabolites leads to an overall reduction in the endogenous 1H MRS signal of
the corresponding resonances. Here we present the initial demonstratation of
qMRS and its corresponding chemical shift imaging technique, qCSI, applied to
the measurement of neural metabolism in human beings at 7T . Methods
This
protocol was approved by the Institutional Review Board at the University of
Pennsylvania, with informed consent obtained prior to the initial scan. Eight
subjects participated in this study, four male and four female, of average age
29.5 years. MR experiments were
performed on a 7T scanner (MAGNETOM Terra, Siemens Healthcare, Erlangen, Germany) in investigational mode equipped with a 1Tx/32Rx head coil (Nova Medical, Wilmington, MA, USA). The
volunteers fasted overnight before undergoing studies in the
morning. Subjects were scanned for approximately two hours, beginning
directly after oral ingestion 0.8g/kg of body weight of [6,6′-2H2] glucose
dissolved in water. Axial T1-weighted FLASH images were obtained to enable
localization of the cortex. Following localization, spectroscopy data were
acquired using custom sequences for CSI with sLASER localization (MRSI)3 and SVS
with PRESS localization4.
Specifically, SVS and the initial MRSI measurement were performed
directly upon positioning the subject in the scanner (t = 20-30 mins
post-ingestion), with six subsequent MRSI acquisitions (t = 50, 60, 70, 80, 90,
100 mins) and one additional SVS acquisition (t = 120 mins) at the end of the
experiment. Voxel sizes of MRSI and SVS
were 10mm3 and 10x30x10 mm, respectively. Analysis of the spectra was
performed using LCModel and MATLAB.Results
To
demonstrate the potential of qMRS based metabolic flux imaging, we performed a
time series of qCSI measurements on four subjects. Figure 2 shows
representative qCSI maps in a healthy male volunteer as a time course following
oral consumption of deuterated glucose. As the deuterated glucose is
metabolized, the fraction of Glu labelled with deuterium increases, and the 1H
MRS amplitude decreases. In contrast, NAA, which does not turn over on this
time scale, has no change in its NMR signal. Thus, the Glu/NAA ratio decreases
as the deuterium enrichment of Glu increases over time. The magnitude of this
decrease reflects the rate of glucose to glutamate metabolism in a spatially
resolved manner. This visible change was observed for all subjects. To compare
qCSI derived changes in Glu and NAA concentrations for gray and white matter
regions, a subregion analysis (3 x 5 voxels) was performed (Figure 3A, black
boxes) and measurements averaged over all subjects for each timepoint. The
results of this computation are plotted in Figures 3B and 3C. In
the gray matter voxels, the average decrease observed in the Glu signal from
baseline to post-glucose ingestion was 0.7 mM, or a 12% decrease from the
pre-ingestion value; in the white matter, an average of 0.2 mM, corresponding
to 4%.Discussion
As
expected based on differences in metabolic rate, observed changes in the
glutamate signal upon ingestion of deuterate glucose were larger in gray matter
than in white matter. These changes were compared to that of the concentration
of NAA, a dominant component of the 1H spectrum of the human brain
which is not expected to turn over on this timescale5.
These measurements illustrate the potential for temporal and spatial mapping of
neural glucose metabolism in vivo in human beings on standard MR
hardware.
An
important point to consider when assessing the utility of this novel technique
is the signal to noise ratio (SNR) comparison between qMRS, qCSI and deuterium
metabolic imaging (DMI). When averaging several voxels, the SNR from our 1H
MRS sequences is approximately 30-35 for qMRS and approximately 25-30 for qCSI.
These values are reported by LC model and correspond to the NAA resonance,
which is the largest component of the 1H MRS spectrum in the brain
following water and lipid suppression. It is worth noting that the
concentration of NAA in the brain is comparable to the natural abundance of
deuterium in water, approximately 10mM. A recently published work on DMI
reports a peak height SNR of the natural abundance water resonance of 95.9 ±
10.9 at 7T for a voxel of 8mL acquired for 29.5 minutes6. While a comparison between
different techniques is difficult to make rigorously, it is clear that a proton
signal based qMRS or qCSI sequences acquired for an equivalent amount of time
and volume would yield SNR more than sufficient for quantification of most
metabolites.
Conclusions
These
findings demonstrate the feasibility of performing 1H MRSI in
conjunction with deuterium labeling to perform spatially and temporally resolved
measurements of neural metabolism. In addition to glutamate, qMRS enables
tracking of other important metabolites including glutamine, GABA, and lactate.Acknowledgements
The authors would like to thank Damodar Reddy for his assitance with handling and coordination of human subjects.References
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