Ming Lu1, Xiao-Hong Zhu1, Yi Zhang1, Walter Low2, and Wei Chen1
1Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 2Neurosurgery Department, University of Minnesota, Minneapolis, MN, United States
Synopsis
The best-known metabolic abnormality in brain
cancer is the Warburg effect, which shifts the fuel consumption from oxidation towards
glycolysis. Recently, we developed a novel in vivo Deuterium (2H) MR spectroscopic imaging (DMRSI) approach
for simultaneously assessing brain glycolysis and oxidation at 16.4 T. In this
study, we aimed to image the Warburg effect in a rat model with
gliosarcoma using DMRSI with improved resolution. High-resolution
quantitative image using the ratio of [lactate] to [glutamate/glutamine] showed
a huge contrast between brain tumor and intact tissue and promise to study the
decoupling relationship between glycolysis and oxidation in tumor.
Introduction
It is known that brain cancers are associated
with altered glucose metabolisms, which has become a promising target for
treatment in oncology. The best-known metabolic abnormality is the Warburg
effect (1), which points to an increased glycolysis and inhibited oxidation
even in the presence of oxygen. Through this way, tumor cells meet high energy
demands to promote rapid cell growth and division (2, 3). Simultaneous measurements of cerebral glucose consumption
rate (CMRglc) and TCA cycle flux (VTCA) are the key for understanding the abnormal metabolism and progression in
tumor brain. Recently,
we developed a novel in vivo
Deuterium (2H) MR spectroscopic imaging (DMRSI) approach for
noninvasively assessing glycolysis and oxidation in rat brains at ultrahigh
field (4, 5). The excellent spectral quality at ultrahigh field allows DMRSI to
quantify regional metabolites concentrations and metabolic rates (e.g. CMRglc and VTCA) concurrently. In this study, we aimed to image the Warburg effect using DMRSI in a rat model with gliosarcoma, which would lay a foundation for
investigation of decoupling relationship between glycolysis and oxidation in
brain tumor. By optimizing acquisition parameters of a previous study (5),
spatial resolution and detection sensitivity of DMRSI were improved. Localized
DMR spectra were acquired using 3D-chemical shift imaging (CSI)
technique at 16.4
T. Metabolites signals from healthy and tumor rat brains were compared. High-resolution
quantitative DMR image using [lactate] to [glutamate/glutamine] ratio
([Lac]/[Glx]) was generated.Method
Male Fischer 344 rats having an appropriate
size of the grown gliosarcoma
(GS-9L cells, Sigma-Aldirch) were anesthetized by 2% isoflurane. Their
femoral arteries and veins were catheterized for blood sampling, physiological
monitoring and deuterated glucose infusion. All MR experiments were conducted
at 16.4 T/26 cm scanner (Varian/VNMRJ) using a passively decoupled 1H/2H
surface coil. Multiple high-resolution 3D-2H
CSI datasets of rat brains were acquired using Fourier series window technique
with ~10 μL
nominal voxel size (17x17x5 phase encodes) for about 15.8 min before and after
the isotope tracer infusion (2-min i.v. infusion of 1.3 g/kg D-Glucose-6,6-d2,
Sigma-Aldrich). A 20 Hz linebroadening was
used before Fourier transformation to enhance spectral SNR. All
resonance signals (deuterated water, glucose (Glc), Glx and Lac) were fitted
using a MATLAB-based program, and the concentrations of metabolites were quantified as previously described (4).
Saturation effects on metabolites were corrected for quantification. Through
mapping the distributions of [Lac] and [Glx], high-resolution ratio image of
[Lac]/[Glx] was produced following several data processing steps including
interpolation and smoothing.Result
Figure 1
showed the anatomical and metabolic [Lac]/[Glx] ratio
images of representative healthy rat brain (Fig. 1A) and a rat brain with
growing gliosarcoma
(Fig. 1B&C). Enlarged spectra from the indicated CSI voxels exhibited
excellent spectral quality with four well-resolved resonances originated from 2H-water,
Glc, Glx and Lac (bottom, Fig. 1A&B). Recognized grown tumor tissue was
observed in Fig. 1B and localized DMR spectra obtained from the normal
appearing (CON, the white box) and tumor (TUM, the black box) tissues at
similar post-infusion time as that of Fig. 1A were displayed. Increased Lac
accumulation was only detected in the TUM area of the tumor brain, whereas
accelerated glucose consumption was observed in both of the CON and TUM regions
within the tumor brain when comparing to that in the healthy rat brain. Figure
1C illustrated a high-resolution ratio image of [Lac]/[Glx] with several folds
of increase of the [Lac]/[Glx] ratio in the core area of TUM tissue, which
overlapped with the corresponding lesion region observed from the anatomical
image (contoured by dotted lines in Fig. 1B&C) and indicated a huge
metabolic shift as the Warburg effect.Discussion & Conclusion
As
expected, due to the Warburg effect, a heterogeneous [Lac]/[Glx] ratio image
was observed indicating a dramatic shift of the fuel consumption towards
glycolysis rather than the oxidative phosphorylation (1, 6). Further studies,
such as evaluating the correlation between CMRglc/VTCA and
[Lac]/[Glx] ratio images, should be performed to examine the reliability and
utility of using [Lac]/[Glx] ratio as an indicator of the glycolysis/oxidation
decoupling level in tumor brain. In summary, this pilot study demonstrates the
feasibility and sensitivity of using in
vivo DMRSI approach to image the Warburg effect with high spatial
resolution in the rat brain at ultrahigh field. It provides an opportunity for
simultaneous studying altered glycolysis and glucose oxidation in animal and
human brains under physiopathological conditions. This technique is
particularly useful for monitoring tumor progression and treatment efficacy
with improved specificity associated with cancer metabolism and biology.Acknowledgements
NIH Grants:
R01 NS41262, NS57560, NS70839, MH111447, R24 MH106049, P41 EB015894, P30 NS076408, S10 RR025031 and Keck foundation.References
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