Evidence map›Paper›PMID 24631313›Full record

ArticleNeurotoxicology2014

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

G Allan Johnson, Evan Calabrese, Peter B Little, Laurence Hedlund, Yi Qi, Alexandra Badea

Open access · greenAbstract read
In one paragraph

Article in Neurotoxicology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Autophagy in trimethyltin-induced neurodegeneration.Journal of neural transmission (Vienna, Austria : 1996) · 2020
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

G Allan JohnsonCenter for In Vivo Microscopy, Department of Radiology, Duke University Medical Center, Durham, NC, United States; Biomedical Engineering, Duke University, Durham, NC, United States. Electronic address: gjohnson@duke.edu.
Evan CalabreseCenter for In Vivo Microscopy, Department of Radiology, Duke University Medical Center, Durham, NC, United States; Biomedical Engineering, Duke University, Durham, NC, United States.
Peter B LittleEPL Inc., Research Triangle Park, NC, United States.
Laurence HedlundCenter for In Vivo Microscopy, Department of Radiology, Duke University Medical Center, Durham, NC, United States.
Yi QiCenter for In Vivo Microscopy, Department of Radiology, Duke University Medical Center, Durham, NC, United States.
Alexandra BadeaCenter for In Vivo Microscopy, Department of Radiology, Duke University Medical Center, Durham, NC, United States.
Duke Medical Center · USDuke University · USTriangle · US

Funding

INTEGRATED CENTER FOR IN VIVO MICROSCOPYP41EB015897 · NIBIB · DUKE UNIVERSITY · PI JOHNSON, GEORGE ALLAN · 2012 to 2017
$7.4M
Quantitative MR Microscopy of Phenotypic Biomarkers in Alzheimer's DiseaseK01AG041211 · NIA · DUKE UNIVERSITY · PI BADEA, ALEXANDRA · 2014 to 2018
$642k
NIA NIH HHS K01 AG041211NIBIB NIH HHS P41 EB015897
6 · The paper itself

Abstract

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.

Indexed as

Diffusion Magnetic Resonance ImagingAnimalsDiffusion Tensor ImagingDose-Response Relationship, DrugEnvironmental PollutantsHistological TechniquesMaleRatsTrimethyltin CompoundsWhite MatterEnvironmental PollutantstrimethyltinTrimethyltin CompoundsAnimal modelsEnvironmental toxinsMRIRatTrimethyltin

Identifiers

PMID24631313
PMCPMC4053477
OpenAlexW2009658248

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.