Jimin Ren1,2
1Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States, 2Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States
Synopsis
Keywords: Data Analysis, Spectroscopy, brain, phosphocholine, phosphoethanolamine, phosphomonoester
It has been a common practice to quantify brain phosphomonoester (PME) 31P signals using a two-component model composed of phosphoethanolamine (PE) and phosphocholine (PC). This study demonstrates spectral evidence of the presence of a hidden broad PME (h-PME) signal underneath PE and PC resonances, characterized by a short T1 and potentially contributed by RBC 2,3-DPG in brain blood vessels, though other sources of signal contribution cannot be fully ruled out. The results have implication in using PE and PC as biomarkers of altered phospholipid metabolism in brain pathologies.
INTRODUCTION
It has been a common practice to quantify brain
phosphomonoester (PME) 31P signals using a two-component model composed of
phosphoethanolamine (PE) and phosphocholine
(PC)1-3. However, a growing body of in vivo 31P data appears to suggest a
more complex PME signal composition4-6. This
is because the brain PE and PC signals, despite of a large difference in
chemical shift (Δδ = 0.5 ppm) and a relative narrow line width (~20 Hz at 7T), are
often marginally resolved even at ultra-high fields. In contrast, the counterpart
glycerophosphoethanolamine (GPE) and glycerophosphocholine (GPC) in the PDE region, with approximately
equal Δδ, are typically well-resolved from the baseline level. Over the last three decades, only a few in
vivo brain 31P studies have attempted to incorporate additional signals for
improving lineshape fitting in PME region7-9. However, so far, there has been a
lack of spectral evidence that clearly demonstrates the selective detection of
the hidden PME signals (h-PME) underneath the PE and PC resonances. This study
aims to address this issue and to characterize h-PME T1 relaxation time for
improving accuracy in measurements of brain PE and PC. METHODS
Human brain 31P MR spectra were acquired on a 7T human scanner
(Achieva, Philips Healthcare, Best, the Netherlands) using a half-cylinder-shaped
1H/31P T/R RF coil (Philips Healthcare) with pulse-acquire sequence under TR =
30 s, FA = 55o and NA = 16. Inversion-recovery (IR) experiment was performed to
evaluate T1 and to null PE and PC for selective detection of h-PME with
optimized inversion time (TI). Spectra after h-PME correction were analyzed to
obtain metabolite concentrations in a group of 16 healthy subjects.
Additionally, outer-volume-suppression (OVS) and 31P MRSI were used to explore
the spatial origin of h-PME signals. RESULTS AND DISCUSSION
The IR 31P spectrum acquired at TI = 5.8 s clearly reveals a
broad hump in PME region upon nulling of the PE and PC signals, whereas this
hump, hidden in the baseline under PE and PC signals in the reference spectrum
acquired without inversion, is not readily appreciable (Figure 1). The selective detection of h-PME is achieved
due to the large difference in T1 between h-PME and the overriding PE and PC
signals, as demonstrated in Figures 2 and 3. The h-PME signal is asymmetric, characterized by a short T1 of 2.2 s, by its magnitude at 6.5 ppm (between PE and PC). An integral analysis also reveals a long T1 (7.2 s) component, in addition to a short one (1.4 s). In comparison, the T1s of other phospholipid (PL) metabolites fall in the
range of 7.0 – 8.5 s. A short T1 of 3.9 ± 0.4 s is found for the
intracellular Pi. Data analysis for a group of healthy subjects (N = 16
subjects for 28 scans, Figures 4 and 5) shows that the combined concentration
of PE and PC is 1.72 ± 0.29 mM, as compared to 3.07 ± 0.45 mM without h-PME
correction. The h-PME signals are averaged 43.6 ± 8.8 % of total PME. Furthermore, it is found that the long-T1
h-PME component in the downfield portion of h-PME signals can be suppressed by
OVS, whereas the short-T1 h-PME component is insensitive to OVS. Localized 2D
and 3D MRSI data also reveal a heterogeneity in h-PME spatial distribution with h-PME more dispersed and abundant in grey-matter than in white matter tissues (data
not shown). The short-T1 h-PME signals are
tentatively assigned to brain blood 2,3-DPG, which is known to be abundantly present
in RBCs (~ 5 mM). The chemical shift
dispersion of h-PME may reflect variations in local blood pH, oxygenation level
and magnetic susceptibility of anisotropic blood vessels, though other sources
of signal contribution cannot be fully ruled out. Further studies are needed to
test the applicability of h-PME as a biomarker of metabolic diseases.CONCLUSION
This study demonstrated the selective detection of h-PME with characterization of its T1 property. The results have implication in data analysis of PE and PC signals in brain pathologies.Acknowledgements
The author is grateful for helpful discussion with Drs. A.
Dean Sherry, Craig Malloy and Anke Henning, 7T operational assistance from Corey Mozingo and
Pena Sal, and technical support from Dr. Ivan Dimitrov (Philips Healthcare).References
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