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      In vivo glucose metabolism and glutamate levels in mGluR5 knockout mice: a multimodal neuroimaging study using [ 18F]FDG microPET and MRS

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          Abstract

          Background

          Perturbed functional coupling between the metabotropic glutamate receptor-5 (mGluR5) and N-methyl- d-aspartate (NMDA) receptor-mediated excitatory glutamatergic neurotransmission may contribute to the pathophysiology of psychiatric disorders such as schizophrenia. We aimed to establish the functional interaction between mGluR5 and NMDA receptors in brain of mice with genetic ablation of the mGluR5.

          Methods

          We first measured the brain glutamate levels with magnetic resonance spectroscopy (MRS) in mGluR5 knockout (KO) and wild-type (WT) mice. Then, we assessed brain glucose metabolism with [ 18F]fluorodeoxyglucose ([ 18F]FDG) positron emission tomography before and after the acute administration of an NMDA antagonist, MK-801 (0.5 mg/kg), in the same mGluR5 KO and WT mice.

          Results

          Between-group comparisons showed no significant differences in [ 18F]FDG standardized uptake values (SUVs) in brain of mGluR5 KO and WT mice at baseline, but widespread reductions in mGluR5 KO mice compared to WT mice after MK-801 administration ( p < 0.05). The baseline glutamate levels did not differ significantly between the two groups. However, there were significant negative correlations between baseline prefrontal glutamate levels and regional [ 18F]FDG SUVs in mGluR5 KO mice ( p < 0.05), but no such correlations in WT mice. Fisher’s Z-transformation analysis revealed significant between-group differences in these correlations ( p < 0.05).

          Conclusions

          This is the first multimodal neuroimaging study in mGluR5 KO mice and the first report on the association between cerebral glucose metabolism and glutamate levels in living rodents. The results indicate that mGluR5 KO mice respond to NMDA antagonism with reduced cerebral glucose metabolism, suggesting that mGluR5 transmission normally moderates the net effects of NMDA receptor antagonism on neuronal activity. The negative correlation between glutamate levels and glucose metabolism in mGluR5 KO mice at baseline may suggest an unmasking of an inhibitory component of the glutamatergic regulation of neuronal energy metabolism.

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          Most cited references60

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          Glutamate uptake into astrocytes stimulates aerobic glycolysis: a mechanism coupling neuronal activity to glucose utilization.

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            Improved method for accurate and efficient quantification of MRS data with use of prior knowledge

            We introduce AMARES (advanced method for accurate, robust, and efficient spectral fitting), an improved method for accurately and efficiently estimating the parameters of noisy magnetic resonance spectroscopy (MRS) signals in the time domain. As a reference time domain method we take VARPRO. VARPRO uses a simple Levenberg-Marquardt algorithm to minimize the variable projection functional. This variable projection functional is derived from a general functional, which minimizes the sum of squared differences between the data and the model function. AMARES minimizes the general functional which improves the robustness of MRS data quantification. The newly developed method uses a version of NL2SOL, a sophisticated nonlinear least-squares algorithm, to minimize the general functional. In addition, AMARES uses a singlet approach for imposition of prior knowledge instead of the multiplet approach of VARPRO because this greatly extends the possibilities of the kind of prior knowledge that can be invoked. Other new features of AMARES are the possibility of fitting echo signals, choosing a Lorentzian as well as a Gaussian lineshape for each peak, and imposing lower and upper bounds on the parameters. Simulations, as well as in vivo experiments, confirm the better performance of AMARES compared to VARPRO in terms of accuracy, robustness, and flexibility. Copyright 1997 Academic Press. Copyright 1997Academic Press
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              Proton NMR chemical shifts and coupling constants for brain metabolites.

              Proton NMR chemical shift and J-coupling values are presented for 35 metabolites that can be detected by in vivo or in vitro NMR studies of mammalian brain. Measurements were obtained using high-field NMR spectra of metabolites in solution, under conditions typical for normal physiological temperature and pH. This information is presented with an accuracy that is suitable for computer simulation of metabolite spectra to be used as basis functions of a parametric spectral analysis procedure. This procedure is verified by the analysis of a rat brain extract spectrum, using the measured spectral parameters. In addition, the metabolite structures and example spectra are presented, and clinical applications and MR spectroscopic measurements of these metabolites are reviewed. Copyright 2000 John Wiley & Sons, Ltd.
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                Author and article information

                Contributors
                jhnp@chol.com , jhnp@gachon.ac.kr
                Journal
                EJNMMI Res
                EJNMMI Research
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                2191-219X
                2 October 2020
                2 October 2020
                2020
                : 10
                : 116
                Affiliations
                [1 ]GRID grid.256155.0, ISNI 0000 0004 0647 2973, Neuroscience Research Institute, , Gachon University, ; Incheon, Republic of Korea
                [2 ]GRID grid.31501.36, ISNI 0000 0004 0470 5905, Department of Biomedical Sciences, , Seoul National University, ; Seoul, Republic of Korea
                [3 ]GRID grid.412484.f, ISNI 0000 0001 0302 820X, Department of Radiology, , Seoul National University Hospital, ; Seoul, Republic of Korea
                [4 ]GRID grid.256155.0, ISNI 0000 0004 0647 2973, Department of Biomedical Engineering, College of Health Science, , Gachon University, ; Incheon, Republic of Korea
                [5 ]GRID grid.256155.0, ISNI 0000 0004 0647 2973, Gachon Advanced Institute for Health Science and Technology, Graduate School, , Gachon University, ; Incheon, South Korea
                [6 ]GRID grid.5734.5, ISNI 0000 0001 0726 5157, Institute of Nuclear Medicine, Inselspital, , Bern University, ; Bern, Switzerland
                [7 ]GRID grid.1024.7, ISNI 0000000089150953, School of Psychology and Counselling, , Queensland University of Technology, ; Brisbane, Australia
                [8 ]GRID grid.256155.0, ISNI 0000 0004 0647 2973, Department of Psychiatry, Research Center for Psychiatry and Behavioral Sciences, Neuroscience Research Institute, Gachon University College of Medicine, Gil Medical Center, , Gachon University, ; 1198 Guwol-dong, Namdong-gu, Incheon, 405-760 South Korea
                Author information
                http://orcid.org/0000-0003-3785-1207
                Article
                716
                10.1186/s13550-020-00716-z
                7532251
                33006705
                48c8286f-1354-4e13-9093-426cc7820fbb
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 16 June 2020
                : 24 September 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003725, National Research Foundation of Korea;
                Award ID: 2016M3C7A1914451
                Award Recipient :
                Categories
                Original Research
                Custom metadata
                © The Author(s) 2020

                Radiology & Imaging
                mglur5,knockout,nmda,glutamate,fdg,pet,mrs
                Radiology & Imaging
                mglur5, knockout, nmda, glutamate, fdg, pet, mrs

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