Chi-Hyeon Yoo1,2, Kyu-Ho Song1, Song-I Lim1,2, Do-Wan Lee3, Dong-Cheol Woo2, and Bo-Young Choe1
1Department of Biomedical Engineering, and Research Institute of Biomedical Engineering, The Catholic University of Korea College of Medicine, Seoul, Korea, Republic of, 2Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea, Republic of, 3Ehwa Brain Institute, Ehwa Woman's University, Seoul, Korea, Republic of
Synopsis
The
chronic forced swimming stress (CFSS) depression-like animal model has been
widely used to investigate the pathophysiology of depression focusing on the
monoamine system. The goal of this study was to investigate the CFSS-induced
metabolic effects in the prefrontal cortex (PFC) of animals showing depression-like
behavior using high-field and short echo time (TE) in vivo proton magnetic resonance spectroscopy (1H MRS).
The results suggest that high-field and short TE in vivo 1H MRS can reliably quantify the key metabolites
involved in depression and CFSS-induced behavioral despair and metabolic
alterations similar to those found in human patients with depressive disorders.
Purpose
The
chronic forced swimming stress (CFSS) depression-like animals have been used to investigate the pathophysiology of depression focusing on the monoamine
system. An in vivo proton magnetic
resonance spectroscopy (1H MRS) has been used to investigate metabolic
alterations, other than the monoamine systems, including glutamate (Glu),
choline-compounds, and myo-inositol (mIns), in patients with major
depressive disorder (MDD). However, recent in
vivo 1H MRS studies were conducted at clinical field strengths which
had limitations in the quantification of metabolites with low concentrations,
and/or spectral overlaps and strong J-coupling. High-field (7T) and relatively short-TE
(16.3 ms) in vivo 1H MRS can
improve the value of in vivo 1H
MRS in investigating MDD. Thus, the goal of this study was to investigate the
CFSS-induced effects in the prefrontal cortex (PFC) of depression-like animals using
high-field and short-TE in vivo 1H
MRS.Materials and Methods
Ten
male Wistar rats underwent MRI and 1H MRS (pre-CFSS). Figure 1 shows experimental protocols
including the MRI/MRS, forced swim test (FST), and CFSS. For the FST, the rats
were placed in water tank (5 min; 30 °C). The rats underwent the
CFSS to simulate depressive conditions (15 min; 25 °C). After the last CFSS (post-CFSS),
MRI/MRS and FST were performed. MRI/MRS were acquired using a Bruker PharmaScan
7T MRI system (Bruker BioSpin) with a 72-mm birdcage volume coil and a surface
coil. T2-weighted images (T2WIs) were acquired in rat brain (rapid-acquisition-with-relaxation-enhancement (RARE); TR/TE, 4000/11 ms; RARE factor, 8; field of
view, 30 × 30 mm²; matrix size, 256 × 256; slice thicknesses, 1.5/1 mm (axial/coronal)).
In vivo 1H MRS was acquired in the voxel (1.5 × 5 × 3 mm³)
containing the PFC using point-resolved spectroscopy (TR/TE: 5000/16.3 ms,
average: 256, spectral bandwidth: 5000 Hz). Water signals were suppressed by
variable pulse power and optimized relaxation delays. Unsuppressed water
signals were obtained in the same condition (average: 8). The FID signals were
processed using linear combination of model spectra (LCModel, version 6.3)
software to estimate the concentration of the following 19 metabolites:
alanine, aspartate, creatine (Cr), phosphocreatine (PCr), γ-aminobutyric acid,
glucose, Gln (glutamine), Glu, glycerophosphocholine (GPC), phosphocholine
(PCh), glutathione, mIns, lactate, N-acetyl aspartate (NAA),
N-acetyl-aspartyl-glutamate, scyllo-inositol, total creatine (tCr; Cr + PCr),
total choline (tCho; PCh + GPC) and taurine, and scaled by the factor of
receiver gain (Gainunsuppressed/Gainsuppressed). In order
to assess the spectral overlap between Glu and Gln, a geometrical overlap ratio
was computed from the intersection area of the LCModel fitted spectra of Glu
and Gln as a percentage of the union area of Glu and Gln ((Glu ∩ Gln)/(Glu ∪ Gln) × 100%). The range of 2.25–2.55 ppm was selected
for assessment, to include the main resonance for quantification of Glu (2.33–2.35
ppm) and Gln (2.43–2.45 ppm). Spectral overlaps between Glu and Gln were assessed using numerical simulation and in
vitro measurements parametrically matched with in vivo experiments. Reliability of the quantification was assessed
by Cramér-Rao lower bound (CRLB) values. The differences in metabolite levels and
swimming behaviors were statistically analyzed using a paired sample t-test.Results
CFSS significantly changed swimming behaviors of the rats in FST. Figure
2 illustrates representative (a-b) axial/coronal T2WI of the rat brain with (c)
the MRS voxel. Representative in vivo
1H MRS are shown in Figure 3(a): the raw data (blue), Glu (black),
Gln (red), and residues (top). Figure 3(b-c) represents the results of
simulation and in vitro measurements.
Although the Glu and Gln spectra obtained with in vivo 1H MRS had slightly lower signal-to-noise ratios
(SNRs) and larger line broadening, the spectral shapes showed good agreements. The
levels of mIns, tCho, NAA, mIns/tCr, and tCho/tCr were significantly increased
after the CFSS. Table
1 lists the geometrical overlap ratios, SNRs, and CRLB values.Discussion and Conclusion
In
this study high-field and short-TE in vivo 1H MRS were used to
assess CFSS-induced metabolic effects in the PFC in depression-like rats. With
spectral simulations and in vitro
experiments, we confirmed that in vivo
1H MRS could reliably assess Glu metabolism. Although significant
alterations in Glu and Gln levels were not observed, increased prefrontal mIns,
tCho, and NAA levels were partially consistent with the results found in
patients with MDD, which suggested that the CFSS-induced behavioral despair and
metabolic alterations were similar to those found in human patients with
depressive disorders. We expect our findings to contribute to the investigation of the alterations
in metabolic systems in MDD using in vivo
1H MRS, in addition to the monoaminergic system, and provide alternative
insights into the pathophysiology and treatment strategies for patients with
MDD.Acknowledgements
This
study was supported by grants (2012-007883) from the Mid-career Researcher
Program though the National Research Foundation (NRF) funded by the Ministry of
Science, ICT & Future Planning (MSIP) of Korea.References
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Comparative reliability of proton spectroscopy techniques designed to improve
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