Related Experiment Video
Updated: Jan 26, 2026

10:52
Chronic Constriction Injury of the Rat's Infraorbital Nerve IoN-CCI to Study Trigeminal Neuropathic Pain
Published on: September 21, 2015
20.7K
Translational neuropathic pain research
Nadine Attal1,2, Didier Bouhassira1,2
1INSERM U987, Ambroise Paré Hospital, APHP, Boulogne-Billancourt, France.
Pain
|April 23, 2019
Summary
Translational research in neuropathic pain increasingly uses inverse and multimodal approaches. This top-down strategy, integrating patient data and advanced techniques, refines understanding and predicts therapeutic responses for nerve injury pain.
Area of Science:
- Neurology
- Pain Research
- Translational Science
Background:
- Traditional neuropathic pain research often translates animal findings to humans, facing extrapolation challenges.
- An inverse translational approach, starting with human clinical data, has emerged as a valuable strategy.
- Assessing sensory phenotypes guides mechanism-based therapeutic development.
Purpose of the Study:
- To review various aspects of translational research in neuropathic pain.
- To highlight the shift towards inverse and multimodal approaches.
- To emphasize the integration of diverse methods for mechanism investigation and therapeutic response prediction.
Main Methods:
- Narrative review of translational research methodologies in neuropathic pain.
- Analysis of traditional (bottom-up) and inverse (top-down) translational strategies.
- Discussion of multimodal approaches integrating patient data and advanced techniques.
Main Results:
- Inverse translational research, exemplified by neurostimulation, has advanced neuropathic pain therapy.
- Phenotype-guided therapeutic strategies offer insights into underlying mechanisms.
- Multimodal approaches represent the leading trend for mechanistic studies and predicting treatment efficacy.
Conclusions:
- Translational research in neuropathic pain is evolving beyond traditional animal-to-human models.
- Inverse and multimodal strategies are crucial for understanding complex pain mechanisms and developing effective treatments.
- Integrating diverse data sources enhances the prediction of therapeutic success in patients with nerve injury.
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