4.7 Article

Effects of PBN and OKN007 in rodent glioma models assessed by 1H MR spectroscopy

Journal

FREE RADICAL BIOLOGY AND MEDICINE
Volume 51, Issue 2, Pages 490-502

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.freeradbiomed.2011.04.037

Keywords

MRS; Nitrone; PBN; Tumor metabolism; Lipid; Anti-glioma therapy; Rodent glioma models (C6, RG2, GL261); Free radicals

Funding

  1. Oklahoma Center for the Advancement of Sciences and Technology [AR092-049]
  2. Oklahoma Medical Research Foundation

Ask authors/readers for more resources

Gliomas, the most common primary brain tumors in adults, have a poor outcome. PBN (alpha-phenyl-tert-butylnitrone) and OKN007 (2,4-disulfophenyl-PBN) are nitrones that have demonstrated beneficial effects in many aging diseases. In this study, we evaluated the anti-tumor effects of PBN and OKN007 in several rodent glioma models (C6, RG2, and GL261) by assessing metabolite alterations with magnetic resonance spectroscopy (MRS). PBN or OKN007 was administered in drinking water before or after tumor formation. MR imaging and single-voxel point-resolved spectroscopy were done to assess tumor morphology and metabolites, after therapy. Major metabolite ratios (choline, N-acetylaspartate, and lipid (methylene or methyl), all compared to creatine), as well as quantification of individual metabolite concentrations, were assessed. Nitrones induced tumor metabolism changes that resulted in restoring major metabolite ratios close to their normal levels, in the glioma regression phase. Nitrone treatment decreased the lipid (methylene)-to-creatine ratio, as well as the estimated concentration of lipid (methylene) significantly. Alterations in lipids can be a useful marker for the evaluation of the efficacy associated with treatment and were found in this study to be related to the reduction of necrosis, but not apoptosis. OKN007 was more effective than PBN when administered after tumor formation in the C6 glioma model. In conclusion, H-1 MRS and conventional MRI are useful methods to assess and follow the response of varied glioma models to anti-tumor treatments. (C) 2011 Elsevier Inc. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available