Translational issues in precision medicine in neuropathic pain.
Anthony H DickensonRyan PatelPublished in: Canadian journal of pain = Revue canadienne de la douleur (2020)
Neuropathic pain remains poorly treated, with most new drugs falling through the translational gap. The traditional model of bench-to-bedside research has relied on identifying new mechanisms/targets in animal models and then developing clinical applications. Several have advocated bridging the translational gap by beginning with clinical observations and back-translating to animal models for further investigation of mechanisms. There is good evidence that phenotyping of patients through quantitative sensory testing can lead to improved treatment selection and hence improved patient outcomes. This practice has been widely adopted in clinical investigations, but its application in preclinical research is not mainstream. In this review, we retrospectively examine our historical rodent data sets with the aim of reconsidering drug effects on sensory neuronal endpoints, their alignment with clinical observations, and how these might guide future clinical studies.
Keyphrases
- neuropathic pain
- spinal cord
- spinal cord injury
- end stage renal disease
- healthcare
- primary care
- chronic kidney disease
- peritoneal dialysis
- emergency department
- high resolution
- ejection fraction
- mesenchymal stem cells
- high throughput
- machine learning
- current status
- brain injury
- blood brain barrier
- combination therapy
- data analysis