scholarly journals Region-Specific Cerebral Metabolic Alterations in Streptozotocin-Induced Type 1 Diabetic Rats: An in vivo Proton Magnetic Resonance Spectroscopy Study

2015 ◽  
Vol 35 (11) ◽  
pp. 1738-1745 ◽  
Author(s):  
Hui Zhang ◽  
Mingming Huang ◽  
Lifeng Gao ◽  
Hao Lei
Keyword(s):  
Visual Cortex ◽  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Brain Regions ◽  
Resonance Spectroscopy ◽  
Metabolic Disturbances ◽  
Metabolic Alterations ◽  
Neuronal Metabolism

Clinical and experimental in vivo1H-magnetic resonance spectroscopy (1H-MRS) studies have demonstrated that type 1 diabetes mellitus (T1DM) is associated with cerebral metabolic abnormalities. However, less is known whether T1DM induces different metabolic disturbances in different brain regions. In this study, in vivo1H-MRS was used to measure metabolic alterations in the visual cortex, striatum, and hippocampus of streptozotocin (STZ)-induced uncontrolled T1DM rats at 4 days and 4 weeks after induction. It was observed that altered neuronal metabolism occurred in STZ-treated rats as early as 4 days after induction. At 4 weeks, T1DM-related metabolic disturbances were clearly region specific. The diabetic visual cortex had more or less normal-appearing metabolic profile; while the striatum and hippocampus showed similar abnormalities in neuronal metabolism involving N-acetyl aspartate and glutamate; but only the hippocampus exhibited significant changes in glial markers such as taurine and myo-inositol. It is concluded that cerebral metabolic perturbations in STZ-induced T1DM rats are region specific at 4 weeks after induction, perhaps as a manifestation of varied vulnerability among the brain regions to sustained hyperglycemia.

Magnetic Resonance Spectroscopy and its Applications in Psychiatry

2002 ◽  
Vol 36 (1) ◽  
pp. 31-43 ◽  
Author(s):  
Gin S. Malhi ◽  
Michael Valenzuela ◽  
Wei Wen ◽  
Perminder Sachdev
Keyword(s):  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Brain Regions ◽  
Response To Treatment ◽  
Resonance Spectroscopy ◽  
Biochemical Basis ◽  
Non Invasive ◽  
Investigative Technique ◽  
Neurochemical Changes

Objective: This paper briefly describes neuroimaging using magnetic resonance spectroscopy (MRS) and provides a systematic review of its application to psychiatric disorders. Method: A literature review ( Index Medicus/ Medline) was carried out, as well as a review of other relevant papers and data known to the authors. Results: Magnetic resonance spectroscopy is a complex and sophisticated neuroimaging technique that allows reliable and reproducible quantification of brain neurochemistry provided its limitations are respected. In some branches of medicine it is already used clinically, for instance, to diagnose tumours and in psychiatry its applications are gradually extending beyond research. Neurochemical changes have been found in a variety of brain regions in dementia, schizophrenia and affective disorders and promising discoveries have also been made in anxiety disorders. Conclusions: Magnetic resonance spectroscopy is a non-invasive investigative technique that has provided useful insights into the biochemical basis of many neuropsychiatric disorders. It allows direct measurement, in vivo, of medication levels within the brain and has made it possible to track the neurochemical changes that occur as a consequence of disease and ageing or in response to treatment. It is an extremely useful advance in neuroimaging technology and one that will undoubtedly have many clinical uses in the near future.

scholarly journals Non-invasive in Vivo Assessment of 11β-hydroxysteroid Dehydrogenase type 1 Activity by 19 F-magnetic Resonance Spectroscopy

2021 ◽  
Author(s):  
Gregorio Naredo-Gonzalez ◽  
Rita Upreti ◽  
Maurits A Jansen ◽  
Scott Semple ◽  
Oliver B Sutcliffe ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Limit Of Detection ◽  
Reductase Activity ◽  
Fluorine Content ◽  
Hydroxysteroid Dehydrogenase ◽  
Resonance Spectroscopy ◽  
Pharmacodynamic Biomarkers

Abstract 11β-Hydroxysteroid dehydrogenase type 1 (11β-HSD1) amplifies tissue glucocorticoid levels and is a pharmaceutical target in diabetes and cognitive decline. Clinical translation of inhibitors is hampered by lack of in vivo pharmacodynamic biomarkers. Our goal was to monitor substrates and products of 11β-HSD1 non-invasively in liver via 19 Fluorine magnetic resonance spectroscopy (19 F-MRS). Interconversion of mono/poly-fluorinated substrate/product pairs was studied in Wistar rats (male, n=6) and healthy men (n=3) using 7 T and 3 T MRI scanners, respectively. Here we show that the limit of detection, as absolute fluorine content, was 0.625 μmol in blood. Mono-fluorinated steroids, dexamethasone and 11-dehydrodexamethasone, were detected in phantoms but not in vivo in human liver following oral dosing. A non-steroidal polyfluorinated tracer, 2-(phenylsulfonyl)-1-(4-(trifluoromethyl)phenyl)ethanone and its metabolic product were detected in vivo in rat liver after oral administration of the keto-substrate, giving a readout of reductase activity. Administration of a selective 11β-HSD1 inhibitor in vivo in rats altered total liver 19 F-MRS signal. We conclude that there is insufficient sensitivity to measure mono-fluorinated tracers in vivo in man with current dosage regimens and clinical scanners. However use of a poly-fluorinated tracer allowed detection of hepatic reductase activity in rats and could be developed for translation to man.

Neurometabolic alterations in a depression-like rat model of chronic forced swimming stress using in vivo proton magnetic resonance spectroscopy at 7 T

2017 ◽  
Vol 41 (S1) ◽  
pp. S544-S545
Author(s):  
C.H. Yoo ◽  
K.H. Song ◽  
S.I. Lim ◽  
D.C. Woo ◽  
B.Y. Choe
Keyword(s):  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Proton Magnetic Resonance ◽  
Proton Magnetic Resonance Spectroscopy ◽  
Resonance Spectroscopy ◽  
Metabolic Alterations ◽  
Behavioral Despair ◽  
Echo Time ◽  
Short Echo Time

Although recent investigations of major depressive disorder (MDD) have focused on the monoaminergic system, accumulating evidence suggests that alternative pathophysiological models of MDD and treatment options for patients with MDD are needed. Animals subjected to chronic forced swim stress (CFSS) develop behavioral despair. The purpose of this study was to investigate the in vivo effects of CFSS in the rat prefrontal cortex (PFC) with 7 T and short-echo-time proton magnetic resonance spectroscopy (1H MRS). Ten male Wistar rats underwent 14 days of CFSS, and in vivo1H MRS and forced swim tests were performed before and after CFSS. Point-resolved spectroscopy was used to quantify metabolite levels in the rat PFC. The spectral analyses showed that in vivo1H MRS can be used to reliably assess the Glu system. The rats showed significantly increased immobility times and decreased climbing times in the FST after CFSS, which suggested that the rats developed behavioral despair. The pre-CFSS and post-CFSS Glu and Gln levels did not significantly differ (P > 0.050). The levels of myo-inositol, total choline, and N-acetylaspartate, myo-inositol/creatine, and total choline/creatine increased significantly (P < 0.050). Similar findings have been reported in patients with MDD. Taken together, these results suggested that the CFSS-induced metabolic alterations were similar to those found in patients and that high-field and short-echo-time in vivo1H MRS can be used to investigate depression-induced metabolic alterations. Such investigations might provide alternative insights into the nonmonoaminergic pathophysiology and treatment of depression.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals Comparison of Convolutional Neural Networks Based Method and LCmodel on the Quantification of in Vivo Magnetic Resonance Spectroscopy

2022 ◽  
Author(s):  
Yu-Long Huang ◽  
Yi-Ru Lin ◽  
Shang-Yueh Tsai
Keyword(s):  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Signal To Noise Ratio ◽  
Correlation Coefficients ◽  
Brain Regions ◽  
Resonance Spectroscopy ◽  
Metabolite Concentrations ◽  
Similar Range ◽  
Error Index

Abstract Quantification of metabolites concentrations in institutional unit (IU) for between subject and long-term comparison is considered important strategy in the applications of magnetic resonance spectroscopy (MRS). The aim of this study is to investigate if metabolite concentrations quantified by convolutional neuronal network (CNN) based method associated with a proposed scaling procedure can reflect variations of the metabolite concentrations in institution unit (IU) at different brain regions with different signal-to-noise-ratio (SNR) and linewidth (LW). An error index based on standard error (SE) is proposed to indicate the confidence levels on the prediction for metabolites. In vivo MRS spectra were collected at 3 brain regions from 44 subjects at 3T system. Metabolite concentrations in IU quantified by LCModel and CNN from 44 subjects were compared. For in vivo spectra characterized under different spectral quality in terms of SNR and LW, line narrowing and noise free spectra were successfully exported by CNN. Concentrations of five metabolites quantified by CNN and LCModel are in similar range with statistically significant Pearson’s correlation coefficients (0.28~0.70). SE of the metabolites show positive correlation with Cramer-Rao lower bound (CRLB) (r=0.60) and with absolute CRLB (r=0.84). In conclusion, the CNN based method with the proposed scaling procedures can be used to quantify in vivo MRS spectra. The concentrations of five major metabolites were reported in IU, which are in the same range as those quantified using a routine MRS quantification procedures by LCModel. The SE can be used as error index indicating predicted uncertainties for metabolites with the information similar to the absolute CRLB.

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