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Spinal Cord Injury 

Evaluating neuro-regenerative and neuroprotective therapies.

Overview

 

Spinal cord injury (SCI) often results in sensory problems, severe motor dysfunction (such as complete paralysis) and chronic pain, making spinal cord injury research complex and challenging. Several preclinical models are commonly used to evaluate pain and motor dysfunction mechanisms associated with SCI.

 

Spinal Cord Injury Models

Model Readouts
Contusion Injury in Rats
Cutting Injury in Rats
Extraction Injury in Rats
Basso Beattie and Bresnahan (BBB) score ​
Open field assay ​
Walking Gait (catwalk) ​
In vivo electrophysiology ​
Spinal cord histology​
Biomarker analysis ​
Spinal Cord Injury in a dish - Primary cells are dissociated directly from adult (>5 weeks old) rat spinal cord tissue, plated in media and incubated with test items or controls. 
Synapse formation.
Cells are also monitored longitudinally, stained using immunocytochemistry against cytoskeletal antigens (Tubulin III) and neurites are quantified for length.
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Assessments

MD Biosciences incorporates a range of in vivo measures and endpoint assessments that provide a robust data package that enable researchers to make critical decisions. 

 
Pain behavioral anaysis

Behavior 

Pain behavior tests assess the response to various pain stimuli.  
biomarker

Biomarkers

Evaluate pro-inflammatory and anti-inflammatory biomarkers from CSF samples. 
histology

Histology

IHC and histological staining to evaluate inflammatory markers in the paw skin. 
electrophysiology

Electrophysiology

Evaluate spontaneous nerve firing using in vivo electrophysiology.

Scientific Data

Histology of Myelin Basic Protein (MBP) Immunoreactive Cells in the rat SCI model.​

 

Spinal Cord Injury-1

 

Synapse formation after spinal cord injury in a dish.

 

synapse formation after SCI
 

READY TO DISCUSS YOUR PROGRAM?

If you are ready to discuss how a partnership can benefit your development program, our scientists are eager to explore the possibilities with you. Like many other pharmaceutical and medical device developers, you can rely on predictive preclinical data.  

 

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