Theresia Ziegs1,2, Johanna Dorst1,2, and Anke Henning1,3
1MRZ, MPI for Biological Cybernetics, Tuebingen, Germany, 2IMPRS for Cognitive and Systems Neuroscience, Tuebingen, Germany, 3Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States
Synopsis
Glutamate related
metabolism can be measured considering the 13C labeling effects from an
administered 13C labeled substrate by short TE 1H MRS spectra without the need
for 13C channels, RF coils or scan software as required for direct 13C MRS or
13C edited 1H observed MRS. In this work, the labeling effects were followed in
the frontal cortex and the occipital lobe using a short TE 1H MC-semiLASER
sequence at 9.4T in healthy volunteers after oral intake of [13C-1]glucose. The
spectral time series acquired show obvious 13C labelling related changes in the
1H observed Glu and Gln spectral pattern.
Introduction
Altered glutamate
levels have been found in patients suffering from Major Depression Disorder1–3. For a better insight into its etiology,
related metabolic rates can be investigated. Usually, those rates were measured
using direct or indirect 13C MRS4–7 after the administration of 13C
labelled substrate, e.g. Glucose (Glc). Boumezbeur et al. showed the
feasibility of using conventional 1H MRS in monkeys8, which avoids technical challenges
of multinuclear radiofrequency coils, heteronuclear decoupling, and broadband
amplifiers. An et al.9,10 and Dehghani et al.11 applied Boumezbeur’s technique
in humans using long TE scan
protocols at 7T and 3T, respectively. Both studies administrated the labelled Glc
by infusion. In this study, we follow the incorporation of the 13C nuclei into
different metabolites by short TE 1H MRS at 9.4T in the human brain after an
oral administration of [13C-1]Glc. The oral intake simplifies the procedure and
makes it less strenuous for the volunteers. Furthermore, short TE MRS at 9.4T benefits
from better spectral resolution and retains signal from fast relaxing
metabolites, which potentially enables to detect more metabolites and thus
allows extracting more information about metabolic turnover rates.Methods
The labeling effects have been measured in 15 healthy
volunteers in two different brain areas using a short TE 1H MC-semiLASER
sequence (TE= 24, TR=5s, 64 averages, acquisition time=512 ms, bandwidth=8000
Hz). The voxel (15x18x20 mm3=5.4 ml) was positioned either in the
frontal cortex or the occipital lobe; see Figure 1 for the voxel position. The
spectra in were measured with in-house built coils: with a surface coil for the
occipital lobe12 and an 8Tx16Rx coil in
surface mode for the frontal cortex13. The volunteers fasten for 9
hours before the measurement starts. After the acquisition of a baseline
spectrum, the volunteers drunk [13C-1]Glc solution (0.75g glucose/kilogram body
weight) and were then scanned up to 2 hours after the glucose administration. The
data was processed and then fitted with LCModel (V6.3‐1L)14. The LCModel basis set
contained basis spectra for [13C-4]Glu, [13C-4]Gln, [13C-3]Glu, [13C-3,4]Glu
additionally to 17 non-labeled metabolites (NAA, Asc, Asp, Cr, PCr, GABA, Glc, GSH, Lac, mI, NAAG, GPC, PE, sI, Tau, Glu, Gln).Results
Most dominant is the labeling effect seen in the decrease of
[12C-4]Glu at 2.34 ppm and the increase of [13C-4]Glu at 2.18 and
2.5 ppm; see the spectra and difference spectra in Figure 2 for one measurement
in the frontal lobe and one in the occipital lobe. The respective decrease of the
[12C-4]Gln peak at 2.44 ppm and
the increase of the [13C-4]Gln peaks at 2.6 ppm and 2.28 ppm is better seen in Figure 3a), where the first, the last and their difference spectrum from the voxel in
the occipital lobe is shown. Results from the LCModel fit for Glu, Gln, [13C-4]Glu and
[13C-4]Gln are shown in Figure 4.
In addition, increased [13C-1]alpha-Glc peaks can
be seen in the downfield region of the spectrum at 5.42 and 5 ppm. In Figure 3b)
simulated metabolite spectra of selected metabolites are shown. The comparison
of these simulations with additional visible spectral pattern changes also indicate
potential changes in Asp and GABA concentrations.Discussion
Preliminary LCModel fits show the expected behavior: Unlabeled
Glu and Gln concentration decrease while [13C-4]Glu and [13C-4]Gln
concentrations increase in time. But, the LCModel fit overestimates the [13C-4]Gln
concentration significantly; its concentration should be lower than the concentration
of the [13C-4]Glu since it is labeled subsequently to Glu.
However, the difficulty of this ongoing study will be to
identify and quantify additional labelling induced concentrations changes
accurately, especially those changes of metabolites with complex spectral
pattern and/or low tissue concentrations, e.g. Glc, GABA and Asp. To achieve
this the spectrum acquired before the Glc administration could be fitted and may
be integrated as one baseline spectrum into the spectral fit model for quantifying
the spectra after the Glc administration. Those metabolites, which are expected
to change after Glc administration, should be then added as additional separate
spectral models to the basis set. Another option would be to calculate and fit
difference spectra as Dehghani
et al. did it. In this case, the problem of subtraction errors due to minor
changes of linewidth, line shape, frequency offset and phase over time has to
be addressed and minimized. The used fitting approach would automatically account
for such changes.
Nonetheless, the spectral quality of the data looks
promising and may allow to identify several additional labeling induced changes in other
metabolites apart from Glu and Gln such as aspartate and GABA as indicated in
Figure 3. 13C studies reported additionally changes in NAA, lactate and alanine15. Further optimization of the
fitting routine may potentially enable to detect also these changes.
Another future aspect of this work is the determination of
metabolic turnover rates, e.g. the rate of Glu to Gln or Glc to Glu.Conclusion
Oral administration of [13C-1]glucose lead to detectable
changes in 1H MRS spectra in humans at 9.4 T in the occipital lobe as well as
in the frontal cortex. The high spectral quality enables the observation of labeling
effects apart from those of glutamate and glutamine such as GABA and aspartate.
Further optimization is needed to quantify these concentration changes
accurately.
Acknowledgements
Funding by SYNAPLAST (Grant No. 679927 to T.Z., J.D., and
A.H.) and Cancer Prevention and Research Institute of Texas (CPRIT) (Grant No.
RR180056 to A.H.) is gratefully acknowledged.References
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