Quantitative mapping of trimethyltin injury in the rat brain using magnetic resonance histology.

Published

Journal Article

The growing exposure to chemicals in our environment and the increasing concern over their impact on health have elevated the need for new methods for surveying the detrimental effects of these compounds. Today's gold standard for assessing the effects of toxicants on the brain is based on hematoxylin and eosin (H&E)-stained histology, sometimes accompanied by special stains or immunohistochemistry for neural processes and myelin. This approach is time-consuming and is usually limited to a fraction of the total brain volume. We demonstrate that magnetic resonance histology (MRH) can be used for quantitatively assessing the effects of central nervous system toxicants in rat models. We show that subtle and sparse changes to brain structure can be detected using magnetic resonance histology, and correspond to some of the locations in which lesions are found by traditional pathological examination. We report for the first time diffusion tensor image-based detection of changes in white matter regions, including fimbria and corpus callosum, in the brains of rats exposed to 8 mg/kg and 12 mg/kg trimethyltin. Besides detecting brain-wide changes, magnetic resonance histology provides a quantitative assessment of dose-dependent effects. These effects can be found in different magnetic resonance contrast mechanisms, providing multivariate biomarkers for the same spatial location. In this study, deformation-based morphometry detected areas where previous studies have detected cell loss, while voxel-wise analyses of diffusion tensor parameters revealed microstructural changes due to such things as cellular swelling, apoptosis, and inflammation. Magnetic resonance histology brings a valuable addition to pathology with the ability to generate brain-wide quantitative parametric maps for markers of toxic insults in the rodent brain.

Full Text

Duke Authors

Cited Authors

  • Johnson, GA; Calabrese, E; Little, PB; Hedlund, L; Qi, Y; Badea, A

Published Date

  • May 2014

Published In

Volume / Issue

  • 42 /

Start / End Page

  • 12 - 23

PubMed ID

  • 24631313

Pubmed Central ID

  • 24631313

Electronic International Standard Serial Number (EISSN)

  • 1872-9711

Digital Object Identifier (DOI)

  • 10.1016/j.neuro.2014.02.009

Language

  • eng

Conference Location

  • Netherlands