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In vivo 1 H MRS detection of cystathionine in human brain tumors
Author(s) -
Branzoli Francesca,
Deelchand Dinesh K.,
Sanson Marc,
Lehéricy Stéphane,
Marjańska Małgorzata
Publication year - 2019
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.27810
Subject(s) - cystathionine beta synthase , in vivo , chemistry , nuclear magnetic resonance , biochemistry , methionine , genetics , biology , physics , amino acid
Purpose To report the technical aspects of noninvasive detection of cystathionine in human brain glioma with edited MRS, and to investigate possible further acquisition improvements for robust quantification of this metabolite. Methods In vivo 1 H MR spectra were acquired at 3 T in 15 participants with an isocitrate dehydrogenase‐mutated glioma using a MEGA‐PRESS (MEscher GArwood point resolved spectroscopy) sequence previously employed for 2‐hydroxyglutarate detection ( T R = 2 s, T E = 68 ms). The editing pulse was applied at 1.9 ppm for the edit‐on condition and at 7.5 ppm for the edit‐off condition. To evaluate the editing efficiency, spectra were acquired in 1 participant by placing the editing pulse for the edit‐on condition at 1.9, 2.03, and 2.16 ppm. Cystathionine concentration was quantified using LCModel and a simulated basis set. To confirm chemical shifts and J ‐coupling values of cystathionine, the 1 H NMR cystathionine spectrum was measured using a high‐resolution 500 MHz spectrometer. Results In 12 gliomas, cystathionine was observed in the in vivo edited MR spectra at 2.72 and 3.85 ppm and quantified. The signal intensity of the cystathionine resonance at 2.72 ppm increased 1.7 and 2.13 times when the editing pulse was moved to 2.03 and 2.16 ppm, respectively. Cystathionine was not detectable in normal brain tissue. Conclusion Cystathionine can be detected in vivo by edited MRS using the same protocol as for 2‐hydroxyglutarate detection. This finding may enable a more accurate, noninvasive investigation of cellular metabolism in glioma.