Neurobiological Quantification of Stress-Induced Sleep-Perturbation in Rats using In Vivo Proton MR Spectroscopy and In Vitro Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS)
Do-Wan Lee1,2, Seockhoon Chung3, Hyun Ju Yoo4, Su Jung Kim4, Chul-Woong Woo2, Sang-Tae Kim2, Kyungwon Kim5, Jeong-Kon Kim5, Jin Seong Lee5, Choong Gon Choi5, Woo Hyun Shim5, Dong-Hoon Lee1, Yoonseok Choi2, and Dong-Cheol Woo2

1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2MR Core Laboratory, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea, Republic of, 3Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of, 4Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center University of Ulsan College of Medicine, Seoul, Korea, Republic of, 5Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of

Synopsis

The aim of this study was to quantitatively assess the differences on the cerebral metabolites and to identify factors determining the alterations of endogenous biomolecules on stress-induced sleep disturbance in rats using in vivo 1H-MRS and in vitro LC-MS/MS. The GABA, Gln concentrations, Gln/Glu, Gln/tCr, and GABA/Glu ratios were significantly higher in SSP rats than in CNTLs. The serotonin concentrations were significantly lower in SSP rats than in CNTLs. Our in vivo 1H MRS and in vitro LC-MS/MS results suggest that the various metabolites and endogenous biomolecule signals in hippocampal region are particularly sensitive and vulnerable to stress-induced sleep perturbation.

Purpose

The goal of our study was to quantitatively assess the differences on the cerebral metabolites and to identify the factors determining the alterations of endogenous biomolecules on stress-induced sleep disturbance in rats using in vivo MR Spectroscopy (1H MRS) and in vitro liquid chromatography-tandem mass spectrometry (LC-MS/MS).

Experimental Methods

Sprague-Dawley rats (sham-controls [CNTL]: n=9; stress-induced sleep perturbation [SSP] rats: n=11) were used in this study and we exposed the stress-induced, sleep-perturbed rat model to the psychological stressor (cage exchange method).1 All CNTL rats were also exchanged the clean cage at the same time in order to synchronize the ultradian cycles between the two groups. All in vivo MR assessments were carried out using a horizontal 9.4 T/160 mm magnet. For VOI localization and identification of the anatomical region, multi-slice, T2-weighted MR images were acquired using a fast spin echo (FSE) pulse sequence (repetition-time [TR] = 4000 ms, effective-echo-time [TEeff] = 32.95 ms, echo-spacing [ESP] = 10.98 ms, echo-train-length [ETL] = 32, average = 1, field-of-view = 30 × 30 mm, slice thickness = 1 mm, and matrix size = 256 × 256). The VOI (2.0 × 2.5 × 3.0 = 15.0 µL) position was targeted to the right dorsal hippocampal region. Water suppressed in vivo spectra were acquired using a point-resolved spectroscopy pulse sequence (TR = 5000 ms, TE1/TE2/TEtotal = 7.46/6.01/13.47 ms, spectral width = 5.0 kHz, average = 384, number of data points = 2048). Acquired in vivo raw data were analyzed using a fully blind spectral process, using LCModel software with a simulated basis set containing 18 metabolites, as follows: Alanine (Ala); aspartate (Asp); creatine (Cr); phosphocreatine (PCr); gamma-aminobutyric acid (GABA); glutamine (Gln); glutamate (Glu); glucose (Glc); glycine (Glyc); glycerophosphocholine (GPC); scyllo-inositol (sI); myo-inositol (mIns); lactate (Lac); N-acetylaspartate(NAA); N-acetylaspartylglutamate (NAAG); phosphocholine (PCh); glutathione (GSH); and taurine (Tau). After the in vivo 1H-MRS assessment, all rats were sacrificed using CO2 inhalation. All whole-brain tissue samples were quickly and carefully harvested from the removed skull. The dried sample was reconstituted with 20μL of 50.0% methanol prior to LC-MS/MS analysis. Serotonin (5-HT) and dopamine (DA) were analyzed with LC-MS/MS equipped with 1290 HPLC (Agilent), Qtrap 5500 (ABSciex), and a reverse phase column (Pursuit-5-C18). Multiple-reaction-monitoring was used in the positive ion mode, and the extracted ion chromatogram corresponding to the specific transition for each analyze was used for quantitation.

Results

Fig.1 shows representative in vivo 1H MR spectra acquired from the right dorsal hippocampal region. The in vivo 1H MR spectra were assigned the following 17 cerebral neurochemical signals: Ala, Asp, Cr, PCr, GABA, Glc, Gln, Glu, Glyc, GPC, PCh, GSH, mIns, NAA, NAAG, Tau, and tCho. Fig. 2A and B illustrates showed that the independent t test revealed significant differences in the cerebral metabolite concentrations between the two groups, and thus indicating a significant stress-induced effect on quantified metabolite concentrations. The GABA (p=0.040) and Gln (p=0.038) concentrations were significantly higher in the SSP rats than in the CNTL rats. In addition, Fig. 3 indicates that the Gln/Glu (p=0.009), Gln/tCr (p=0.037), and GABA/Glu (p=0.025) ratios were significantly higher in the SSP rats than in the CNTL rats. Fig. 4 shows the 5-HT and DA concentrations that were quantified from the in vitro LC-MS/MS of twenty brain hemispheres. The 5-HT concentrations (p=0.036) were significantly lower in the SSP rats than in the CNTL rats. Our study results revealed that the pairs of biomolecule and metabolite signals that were significantly positively correlated in the hippocampal region were as follows: GABA vs. Gln (R2=0.198); and DA vs. 5-HT (R2=0.412) concentrations (Fig. 5A and B).

Discussion

We suggest that significantly higher Gln concentrations and Gln/Glu, Gln/tCr, and GABA/Glu ratios in the SSP rats than those in the CNTL rats may reflect the hyper-activity of glutamine synthetase and GABAergic receptors while there was a declining glutamatergic activity.2-4 Moreover, our primary findings suggest that the GABA, Gln, and Glu signals in the hippocampal region are particularly sensitive and vulnerable to stress-induced sleep perturbation.5-7 Significantly lower 5-HT concentrations in SSP rats than in the CNTL rats might reflect that the decreased producing rate of serotonin is possibly due to the impairment or dysfunctions in L-tryptophane and the 5-HTPlevels.8-10

Conclusion

Our in vivo 1H MRS and in vitro LC-MS/MS results suggest that the GABA, Gln, and 5-HT signals in the hippocampal region of the rats are particularly sensitive and vulnerable to stress-induced sleep perturbation. Our in vivo 1H-MRS and in vitro LC-MS/MS results suggest several novel metabolic markers for the cerebral neurobiological effects of stress-induced sleep perturbation in rat brain.

Acknowledgements

This study was supported by grants of 2014-602 and 2014-7004 from the Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea and by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (Grant Number : HI14C1090).

References

1. Cano G, Mochizuki T, Saper CB. Neural Circuitry of Stress-Induced Insomnia in Rats. J. Neurosci. 2008;28(40):10167–10184.

2. Acosta GB, Rubio MC. GABAA receptors mediate the changes produced by stress on GABA function and locomotor activity. Neurosci. Lett. 1994;176:291–231.

3. Rothman DL, Behar KL, Hyder F, et al. In vivo NMR studies of the glutamate neurotransmitter flux and neuroenergetics: Implications for brain function. Annu. Rev. Physiol. 2003;65:401–427.

4. Morgan PT, Pace-Schott EF, Mason GF, et al. Cortical GABA Levels in Primary Insomnia. Sleep 2012;35(6):807–814.

5. Sanacora G, Mason GF, Rothman DL, et al. Reduced cortical γ-aminobutyric acid levels in depressed patients determined by proton magnetic resonance spectroscopy. Arch. Gen. Psychiat. 1999;56(11):1043–1047.

6. Plante DT, Jensen JE, Schoerning L, et al. Reduced g-Aminobutyric Acid in Occipital and Anterior Cingulate Cortices in Primary Insomnia: a Link to Major Depressive Disorder? Neuropsychopharmacology 2012;37:1548–1557.

7. Moor CM, Frazier JA, Glod CA, et al. Glutamine and Glutamate Levels in Children and Adolescents With Bipolar Disorder: A 4.0-T Proton Magnetic Resonance Spectroscopy Study of the Anterior Cingulate Cortex. J. Am. Acad. Child Adolesc. Psychiat. 2007;46(4):524–534.

8. Jouvet M. Biogenic amines and the states of sleep. Science 1969;163(3862):32–41.

9. Wyatt R, Kupfer D, Sjoerdsma A, et al. Effects of L-tryptophan (A natural sedative) on human sleep. Lancet 1970;296(7678):842–846.

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Figures

Figure1. Quantification of 16, neuro-metabolite signals in the raw spectrum from the right dorsal hippocampal region of the SSP model. The illustrations completely discriminated the raw spectrum (grey), fitted spectrum (purple), baseline (dotted green), and each neuro-metabolite signal (solid red) from the obtained in vivo 1H spectrum at 9.4 T.

Figure2. (A) Concentrations of the cerebral metabolite signal in the right dorsal hippocampal region of the control and SSP rats. The results in independent t-tests were considered as the significance levels at *p<0.05. (B). The vertical lines on each of the bars indicate standard deviation from means of metabolite concentrations.

Figure3. Bar graph illustrating the Gln/Glu, Glu/tCr, Gln/tCr, GABA/Glu, and tNAA/tCr ratios in hippocampal region of the control and SSP rats. The results in independent t-tests were considered as the significance levels at *p<0.05, ***p<0.005. The vertical lines on each of the bars indicate standard-deviation from means of metabolite concentrations.

Figure4. Concentrations of the endogenous biomolecule signal in hippocampal region of control and SSP rats. The independent t-test results were considered the significance levels at *p < 0.05. The vertical lines on each of the bars indicate standard deviation from the mean values of the endogenous biomolecule signals.

Figure5. Scatter plots of the pairs of metabolites and endogenous biomolecule signals quantified from individual rats that were distinguished by cluster symbols and Pearson-correlation-coefficients. The illustrations in Fig. 6 show the relationships between the pairs of metabolite and endogenous biomolecule signals as follows: GABA vs. Gln, and DA vs. 5-HT.



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