Publication
Title
Metabolic profiling of dividing cells in live rodent brain by proton magnetic resonance spectroscopy () and LCModel analysis
Author
Abstract
Rationale: Dividing cells can be detected in the live brain by positron emission tomography or optical imaging. Here we apply proton magnetic resonance spectroscopy ((HMRS)-H-1) and a widely used spectral fitting algorithm to characterize the effect of increased neurogenesis after electroconvulsive shock in the live rodent brain via spectral signatures representing mobile lipids resonating at similar to 1.30 ppm. In addition, we also apply the same (HMRS)-H-1 methodology to metabolically profile glioblastomas with actively dividing cells growing in RCAS-PDGF mice. Methods: (HMRS)-H-1 metabolic profiles were acquired on a 9.4T MRI instrument in combination with LCModel spectral analysis of: 1) rat brains before and after ECS or sham treatments and 2) RCAS-PDGF mice with glioblastomas and wild-type controls. Quantified (HMRS)-H-1 data were compared to post-mortem histology. Results: Dividing cells in the rat hippocampus increased similar to 3-fold after ECS compared to sham treatment. Quantification of hippocampal metabolites revealed significant decreases in N-acetyl-aspartate but no evidence of an elevated signal at similar to 1.3 ppm (Lip13a+Lip13b) in the ECS compared to the sham group. In RCAS-PDGF mice a high density (22%) of dividing cells characterized glioblastomas. Nile Red staining revealed a small fraction (3%) of dying cells with intracellular lipid droplets in the tumors of RCAS-PDGF mice. Concentrations of NAA were lower, whereas lactate and Lip13a+Lip13b were found to be significantly higher in glioblastomas of RCAS-PDGF mice, when compared to normal brain tissue in the control mice. Conclusions: Metabolic profiling using (HMRS)-H-1 in combination with LCModel analysis did not reveal correlation between Lip13a+Lip13b spectral signatures and an increase in neurogenesis in adult rat hippocampus after ECS. However, increases in Lip13a+Lip13b were evident in glioblastomas suggesting that a higher density of actively dividing cells and/or the presence of lipid droplets is necessary for LCModel to reveal mobile lipids.
Language
English
Source (journal)
PLoS ONE
Publication
2014
ISSN
1932-6203
Volume/pages
9:5(2014), 15 p.
Article Reference
e94755
ISI
000336653300003
Medium
E-only publicatie
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 03.07.2014
Last edited 13.11.2017
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