Spectroscopy Quantification & Metabolism
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Tuesday May 10th
Room 513A-D |
16:00 - 18:00 |
Moderators: |
Ulrike Dydak and Ricahrd Edden |
16:00 |
304. |
Measurement of elevated
2-hydroxyglutaric acid in brain tumors by difference editing
at 3T in vivo
Changho Choi1, Sandeep Ganji1,
Zoltan Kovacs1, Ralph DeBerardinis1,
and Elizabeth Maher1
1University of Texas Southwestern Medical
Center, Dallas, Texas, United States
Recent mass spectroscopy studies in-vitro and ex-vivo
indicated that a fraction of gliomas contain mutations
of isocitrate dehydrogenase-1 and -2, causing
accumulations of 2-hydroxyglutaric acid (2HG). Here, we
present in vivo detection of 2HG in human brain tumors
by means of difference editing at 3T. The C2-proton
resonance of 2HG at 4.02 ppm was edited using a 20 ms
Gaussian radio-frequency (RF) pulse for selective 180„a
rotation of the its coupling partners at ~1.9 ppm. In
vivo measurement was conducted in various tumors. The
results indicated that 2HG is elevated to 2 - 8 mM in
low-grade gliomas and secondary glioblastomas.
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16:12 |
305. |
Elucidating Brain
Metabolism by Dynamic 13C
Isotopomer Analysis
Alexander A Shestov1, Dinesh K Deelchand1,
Kamil Ugurbil1, and Pierre-Gilles Henry1
1Center for Magnetic Resonance Research,
University of Minnesota, Minneapolis, MN, United States
Information from 13C
isotopomers, which appear as multiplets in 13C
NMR spectra can be measured and quantified in
vivo. We show here that using this additional
information on isotopomers along with an extended brain
bionetwork model allows accurate fitting of the
experimental dynamic 13C
isotopomer turnover curves.
|
16:24 |
306. |
Increased brain
monocarboxylic acid transport and metabolism in T1DM
patients with hypoglycemia unawareness
Henk M. De Feyter1, Barbara I Gulanski2,3,
Kathleen A Page4, Anne Howard O'Connor2,
Ellen V Hintz2, Susan M Harman2,
Renata Belfort De Aguiar2, Graeme F Mason2,
Douglas L. Rothman2, and Robert S Sherwin2
1Diagnostic Radiology, Yale University, New
Haven, CT, United States, 2Yale
University, 3VA
Connecticut Healthcare System, West Haven, 4USC
Keck School of Medicine, Los Angeles, USA
Previously we showed in well-controlled type 1 diabetes
patients increased brain metabolism of acetate, a
monocarboxylic acid (MCA) transported over the
blood-brain barrier via MCT1.
However, it is unclear whether these adaptations are
related to frequency and severity of hypoglycemic
episodes or type 1 diabetes per
se. We therefore investigated the relationship
between cortical metabolic adaptations and i) severity
of antecedent hypoglycemia unawareness and ii)
counterregulatory response to acute hypoglycemia using 13C
MRS and infusion of [2-13C]-acetate and show
how the severity of hypoglycemia unawareness and lack of
counterregulatory response is independent of diabetes
and correlates with the degree of MCA transport and
metabolism.
|
16:36 |
307. |
Brain Glycogen Content and
Metabolism in Type 1 Diabetes
Gulin Oz1, Nolawit Tesfaye1,
Anjali Kumar1, Dinesh K. Deelchand1,
and Elizabeth R. Seaquist1
1University of Minnesota, Minneapolis, MN,
United States
Supercompensated brain glycogen levels may contribute to
the development of hypoglycaemia unawareness in patients
with type 1 diabetes (T1D) by providing energy for the
brain during periods of hypoglycaemia. To determine if
brain glycogen content is higher in patients with T1D
and hypoglycaemia unawareness, brain glycogen content
and turnover was measured in 5 patients and 5
age/gender/BMI matched healthy controls using 13C
MRS and IV infusion of [1-13C]glucose
followed by [1-12C]glucose for a total of
50h. A strong trend for lower glycogen levels in
patients than controls (p=0.05) was observed, refuting
supercompensated glycogen levels in T1D and
hypoglycaemia unawareness.
|
16:48 |
308. |
Definition of the
macromolecular baseline based on T1 as
well as T2 properties
Daniel Guo Quae Chong1, Christine S Bolliger2,
Johannes Slotboom3, Chris Boesch2,
and Roland Kreis2
1Dept. of Diagnostic, Interventional and
Pediatric Radiology (DIPR), Inselspital, Bern,
Switzerland, 2Dept.
of Clinical Research, University of Bern, Bern,
Switzerland,3Institute for Diagnostic and
Interventional Neuroradiology, Inselspital, Bern,
Switzerland
Macromolecule baseline (MMBl) determination have usually
been done with inversion recovery or saturation recovery
techniques. This abstract presents an alternative using
both T1 and T2 information by combining inversion
recovery and 2D JPRESS spectra iteratively. Part of the
study involves ensuring repeatability and the result
suggests that MMBl has inter-individual variability.
|
17:00 |
309. |
Metabolite concentration
changes during visual stimulation using functional Magnetic
Resonance Spectroscopy (fMRS) on a clinical 7T scanner
Benoit Michel Schaller1, Ralf Mekle2,
Lijing Xin3, and Rolf Gruetter1,4
1Laboratory of Functional and Metabolic
Imaging, Ecole Polytechnique Fédérale de Lausanne,
Lausanne, Vaud, Switzerland, 2Physikalisch-Technische
Bundesanstalt, Berlin, Germany, 3Department
of Radiology, University of Lausanne, Lausanne,
Switzerland, 4Department
of Radiology, Universities of Lausanne and Geneva,
Switzerland
Functional MR Spectroscopy allows direct measurement of
low concentrated metabolites with small concentration
changes (<0.2µmol/g) during neuronal activation
providing insight into brain metabolism. In this study,
the inter-subject analysis revealed an increase of [Lac]
of 20±3%, [Glu] of 10±5% and a decrease of [Asp] of 5±4%
in the visual cortex during the activation. The use of
SPECIAL sequence at 7T yielded increased SNR compared to
STEAM providing a twofold time resolution for the time
courses of different metabolites concentration (Lac and
Glu). Fewer scans had to be averaged to enable reliable
metabolite quantification.
|
17:12 |
310. |
Classification of single
voxel 1H spectra of brain tumours using LCModel
Felix Raschke1, Elies Fuster-Garcia2,3,
Kirstie Suzanne Opstad1, and Franklyn Arron
Howe1
1Division of Clinical Science, St George’s
University of London, London, United Kingdom, 2IBIME
and ITACA, Universidad Politécnica de Valencia,
Valencia, Spain, 3Universitat
Internacional Valenciana, Valencia, Spain
This study presents a novel method for the direct
classification of single voxel 1H MR spectra of brain
tumours using the widespread analysis tool LCModel.
LCModel is designed to estimate individual metabolite
proportions by fitting a linear combination of
metabolite spectra to an in vivo MR spectrum, but here
is used to fit representations of complete tumour
spectra. Classification according to the highest
estimated tumour proportion in a test set of 46 spectra
comprising high grade gliomas, low grade gliomas and
meningiomas, LCModel gives a classification accuracy of
93% compared to 95% by the INTERPRET Decision Support
System.
|
17:24 |
311. |
Investigating the
metabolic changes due to visual stimulation using functional
proton magnetic resonance spectroscopy at 7T
Yan Lin1,2, Mary C Stephenson1,
Samuel J Wharton1, Lijing Xin3,
Olivier E Mougin1, Antonio Napolitano4,
and Peter G Morris1
1Sir Peter Mansfield Magnetic Resonance
Centre, University of Nottingham, Nottingham,
Nottinghamshire, United Kingdom, 2Medical
Imaging Department, Second Affiliated Hospital, Shantou
University Medical College, Shantou, Guangdong, China,
People's Republic of, 3Laboratory
of Functional and Metabolic Imaging, Ecole Poly
technique Federale de Lausanne, Lausanne, Switzerland, 4Academic
Radiology, University of Nottingham, Nottingham,
Nottinghamshire, United Kingdom
Previous functional proton MRS studies of the activated
human brain at 7T investigated the changes in the levels
of Lac, Glu, Asp and Glc, these related mainly to
oxidative energy metabolism. Our results demonstrate the
changes in Glu (increased by 2%¡À1%), Gln (decreased by
5%¡À3%), Asp(decreased by 9%¡À6%), Lac(increased by
9%¡À6%), Glc (decreased by 30%¡À14%), GSH (increased by
7%¡À2%), and Gly (decreased by 19%¡À5%), in response to
visual stimulation. On the basis of these results from
the visual cortex, we propose an increase in oxidative
metabolism, excitatory neurotransmitter cycling and GSH
synthesis, possibly related to Glu clearance and ROS
detoxification.
|
17:36 |
312. |
Quantitative MRS of
Ovaries and Ovarian Masses at 3T: Methodology and Initial
Findings
Patrick J Bolan1, Jori S Carter2,
Navneeth Lakkadi1, and Levi S Downs Jr.2
1Radiology/CMRR, University of Minnesota,
Minneapolis, MN, United States, 2Obstetrics,
Gynecology, and Women’s Health, University of Minnesota,
Minneapolis, MN, United States
This work describes the development of a methodology for
performing quantitative 1H
MRS in ovarian masses and normal ovaries at 3T and
reports the initial findings in 68 spectra. MRS
performance varied depending on the structure measured:
healthy ovaries had low SNR due to small size, cystic
regions had low metabolic content, and solid regions
regularly showed a total choline (tCho) resonance and
occasionally other metabolites including creatine,
glycine, and an unidentified 2.05ppm resonance. The new
quantification method, which uses T2-corrected
water as an internal reference, found tCho ranging from
0.2-3.4 mmol/kg in solid regions.
|
17:48 |
313. |
Hepatic glycogen
metabolism in mice by in vivo 13C MRS at 14T
Christine Nabuurs1, Frederic Preitner2,
Bernard Thorens2, and Rolf Gruetter3
1CIBM, Hôpitaux Universitaires de Genève
(HUG), Lausanne, Switzerland, 2Mouse
Metabolic Facility, Center for Integrative Genomics,
UNIL, Lausanne, Switzerland,3Laboratory of
Functional and Metabolic Imaging (LIFMET), l'Ecole
Polytechnique Fédérale de Lausanne (EPFL), Lausanne,
Switzerland
Contributions of direct and indirect glycogen synthesis
in liver tissue can be determined by 13C
MRS upon labeled glucose infusion. We optimized a
protocol for in
vivo MRS
at 14T in mouse liver to study the incorporation of 13C
into different positions of glycogen by overcoming the
large bandwidth needed for simultaneous detection of
signals with a chemical shift difference of 6kHz by
applying interleaved transmitter frequencies. This
allowed for sufficient time resolution and omits signal
losses and the need for pulse shape corrections when
studying alternative pathways of glycogen synthesis in
mouse models with disorders in hepatic carbohydrate
metabolism.
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