Metabolic profiling of in vivo brain rodent models by relaxation-enhanced 1H MRS of the downfield region at 21.1 T
Tangi Roussel1, Jens T. Rosenberg2, Samuel Colles Grant2,3, and Lucio Frydman1,2

1Chemical Physics, Weizmann Institute of Science, Rehovot, Israel, 2Center for Interdisciplinary MR, National High Magnetic Field Laboratory, Tallahassee, FL, United States, 3Chemical & Biomedical Engineering, Florida State University, Tallahassee, FL, United States

Synopsis

This study explores new opportunities that ultra-high field combined with non-water-suppressed 1H MRS methodologies make possible regarding the profiling of signals that resonate downfield from the water peak. Studies were carried out on rats using a 21.1-T ultra-widebore system, and focused on quantitatively analyzing the metabolic concentration changes for ischemic stroke and glioblastoma tissues. A general decrease in the relative metabolic concentrations were observed for both pathologies, certain molecules depart from this trend: lactate, glutathione (stroke), choline and UDP-Nacetyl hexosamines (glioma). Potential explanations for these features and new research avenues opened by these types of measurements are discussed.

Purpose

Improvements in the MR acquisition hardware coupled to the growing availability of ultra-high field magnets, are enabling the acquisition of in vivo MR spectra without water suppression.1,2 Moreover, the use of selective spectral excitations allows one to exploit the abundant reservoir of magnetically unperturbed spins, to enhance the longitudinal recovery of the excited metabolic or macromolecular sites.3,4 Several of the peaks resonating downfield from the water resonance originate from exchangeable protons of -NH and -OH groups present in metabolites5, and become visible only when avoiding water suppression. Previous studies have detected downfield histidine, homocarnosine and phenylalanine peaks in human and mouse brain6; glucose (Glc), glutathione (GSH) and NAD+ were also unambiguously assigned.7,8,9 Based on chemical shifts databases, attempts have been made to assign resonances observed in the 6-9 ppm region to additional metabolites such as adenosine triphosphate (ATP), N-acetyl aspartate (NAA), glutamine (Gln), histamine, tyrosine and tryptophan.10 This paper explores the use of Relaxation Enhanced (RE) MRS techniques using selective pulses to avoid water suppression and to record in vivo localized spectra from the downfield 1H region at 21.1 T. The study was carried out on rats subjected to cerberal ischemia or glioblastoma.

Methods

Brain ischemia model. To mimic brain ischemia, middle cerebral artery occlusion (MCAO) was performed on six Sprague-Dawley rats for 1.5 h followed by re-perfusion. The animals were imaged 24 h following the occlusion.

Glioblastoma model. 9L glioma rat cells were cultured and expanded in DMEM+10%FBS. 100,000 9L glioma rat cells were injected at 2 mm anterior, 2.5 mm lateral and 3.5 mm deep with respect to Bregma. Five male Sprague-Dawley rats were used.

MRS acquisitions. All experiments were performed at the NHMFL using an ultra-wide bore 21.1-T vertical magnet, a Bruker Avance III MRI console and a home-built probe incorporating a transmit/receive quadrature surface coil. in vivo 1H RE-MRS experiments were performed using a localized spin-echo sequence (Figure 1) for which spectrally selective pulses were employed to excite and refocus the 5.5-9.5 ppm range. The excitation was performed using a 5.55-ms, 10-lobe sinc pulse, and a 4-ms refocusing Shinnar-LeRoux pulse. Spatial localization was carried out using 3D LASER11 incorporating six consecutive 5-ms adiabatic 180° pulses leading to a minimum echo time of 55 ms. The upfield spectral region (0-4 ppm) also was explored by adjusting frequency offsets. 512 to 1024 averages were acquired (TR=1.5-2.5 s) from two different voxel localizations (Figure 2) with an average volume of 90 µL, centered on diseased and healthy regions.

Data quantification. The spectroscopic data were processed and quantified with customized MATLAB software; the quantification stage relied on a GAMMA-library-based algorithm12 originally developed for in vivo 2D MRS time-domain quantification.13 This fitting model incorporates a predefined set of 1D metabolic spectral traces with known frequency shifts, keeping concentrations and linewidths as adjustable parameters. As most of the potential metabolites contributing to the downfield spectral region have too low a concentration to be detectable (≤100 µM), the metabolite basis set used here contained only ATP, Gln, GSH and NAA--all of these present at ≥1 mM concentrations--and four broad gaussian resonances to model the spectral baseline.

Results

in vivo downfield 1H spectra show rich metabolic information. Figure 3 compares upfield and downfield spectral regions acquired on normal and diseased tissues. An average SNR of 40 was calculated on the 7.8-ppm peak. The result of a typical spectral quantification is displayed in Figure 4; this procedure was applied to all spectra.

Discussion

Concentrations appear to be globally lower in ischemic and glioma tissue than in normal brain tissue for all metabolites (Figure 5). Exceptions in this trend are given by (i) GSH, whose 23% increase in ischemic tissue could reflect a neuroprotective measure against oxidative stress; and (ii) Cho, whose 30% increase in glioma tissue is probably a consequence of tumor cell proliferation. Moreover, a 5.9-ppm peak shows a marked, statistically significant increase (45%) in the tumor tissue. Previous NMR studies on cells14,15 assigned this resonance to UDP-NAc, which is known to be an abundant metabolite upon cancer proliferation.

Conclusion

By avoiding water excitation, the RE-MRS sequence led to high quality, spectra with well-resolved resonances and low spectral baseline distortions--not only for the classical upfield peaks but also for the more elusive downfield resonances. The method’s main limitation is its relatively long echo time, a consequence of B1 power limitations. This potential bias notwithstanding, led to quantifiable 1H downfield MR spectra that highlighted systematic differences between healthy and non-healthy tissues, which could serve as potential biomarkers as well as providing better understanding of disease development.

Acknowledgements

The authors wish to thank Professor Cathy Levenson for providing 9L glioma cells and advice on the surgical procedure. This work was performed at the National High Magnetic Field Laboratory (NHMFL), which is supported by NSF DMR-1157490 and the State of Florida. Funding was also provided by the NHMFL User Collaboration Grant Program and the American Heart Association Grant-In-Aid program (10GRNT3860040) (to SCG). The authors also wish to thank the Israel Science Foundation (grant 795/13), Helen and Martin Kimmel Institute of Magnetic Resonance (Weizmann Institute) and generosity of the Perlman Family Foundation (to LF).

References

1. van Der Veen JW et al. Radiology 217:296–300 (2000) 2. Fu R et al. J Magn Reson 177:1-8 (2005) 3. Shemesh N et al. Chemistry 19:13002–8 (2013) 4. Shemesh N et al. Nat Commun 5:4958 (2014) 5. Govindaraju V et al. NMR Biomed 13:129–53 (2000) 6. Rothman DL et al. Magn Reson Med 38:924–29 (1997) 7. de Graaf RA et al. NMR Biomed 27:802–9 (2014) 8. de Graaf RA et al. J Cereb Blood Flow Metab 21:483–92 (2001) 9. Grande S et al. NMR Biomed 21:1057–65 (2008) 10. Henning A et al. ISMRM (2008) 11. Garwood M et al. J Magn Res 153:155–77 (2001) 12. Smith SA et al. J Magn Reson A 106:75–105 (1994) 13. Roussel T et al. ISMRM-ESMRMB (2010) 14. Pan X et al. J Proteome Res 10:3493–500 (2011) 15. Grande S et al. NMR Biomed 24:68–79 (2011)

Figures

Fig. 1: in vivo spatially localized RE-MRS sequence employed to investigate downfield resonances, including shaped excitation and refocusing pulses and a 3D LASER spatial localization.

Fig. 2: 1H RARE images (TE/TR=9/5000 ms) of a rat head bearing (a) a severe stroke induced by MCAO, and (b) an intra-cerebral brain tumor induced by injection of 9L glioma cells. Green, red and purple boxes represent typical placements of the spectroscopic voxels analyzed.

Fig. 3: Localized RE-MRS traces acquired from (a) two voxels selected in the normal brain (green) and stroked tissue (purple) of a rat subject to MCAO, and (b) two voxels selected in the normal brain (green) and tumorous tissue (red) of a glioma-implanted rat

Fig. 4: Fitting of the downfield spectrum acquired on normal brain tissue (top, black) by a number of spectral signatures characteristic of ATP, Gln, GSH and NAA. The peak resonating around 5.9 ppm is tentatively assigned to UDP-NAc. The 7-7.7 ppm spectral range remains to be unambiguously assigned.

Fig. 5: Concentration estimates in (a) normal brain and stroke tissues for N=6 animals, and (b) normal brain and tumor tissues for N=5 animals.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
0890