Peripheral Nerve Repair Models

Peripheral Nerve Repair

Models of nerve repair are used to study nerve repair mechanisms and test technologies such as wraps, conduits, and fillers. Currently, the majority of studies are conducted in rats, while rabbits are typically chosen for larger animal experiments. Although rabbits offer certain advantages, their primary disadvantage is the lack of functionality assays, which are the main measure of outcomes in humans. Pigs present a promising solution for peripheral nerve injury models due to their ability to simulate critical gaps and facilitate various functional assays such as computerized gait analysis, cMAP and DSNAP tests. In this model, the sciatic nerve is dissected to simulate peripheral nerve damage.

Peripheral Nerve Repair Models

Pig Model
Pigs present a promising solution for peripheral nerve injury models due to their ability to simulate critical gaps and facilitate various functional assays such as computerized gait analysis, cMAP and DSNAP tests.

Assessments:
- Von Frey
- Open Field Assay
- Motor Score
- Thermal Analysis
- Gait Analysis
- Electrophysiology
Rodent Model
Rodent models provide valuable information in early efficacy studies in peripheral nerve repair models.

Assessments:
- Von Frey
- Open Field Assay
- Motor Score
- Catwalk
- Electrophysiology

Scientific Data

Gait analysis using the catwalk computerize system in the rodent peripheral nerve repair model.

Catwalk

Review the complete dataset.

PNR3

Download datasheet

Behavior

Pain behavior tests assess the response to various pain stimuli.

Biomarkers

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

Histology

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

Electrophysiology

Evaluate spontaneous nerve firing using in vivo electrophysiology.

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If you are ready to discuss how translational studies can fit into 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.