Brain Res, 2015 · DOI: 10.1016/j.brainres.2014.10.048 · Published: September 4, 2015
This paper reviews the California Spinal Cord Consortium's (CSCC) efforts to develop a non-human primate model for spinal cord injury (SCI) research. The goal is to create a translational model that bridges the gap between small animal studies and human clinical trials, particularly for therapies aimed at restoring hand and arm function. The CSCC is using a biomedical informatics framework to manage and analyze large volumes of multidimensional data, including motor, sensory, autonomic, and pathological information, to understand plasticity and repair mechanisms after SCI. By integrating diverse data types and applying statistical science, the CSCC aims to maximize knowledge discovery and improve the potential for clinical translation of promising therapeutic strategies for SCI.
The non-human primate model, combined with biomedical informatics, offers a more clinically relevant platform for testing SCI therapies before human trials.
Applying 'precision medicine' principles to SCI research can enable high-level computational approaches to analyze multidimensional health information and personalize therapeutic interventions.
Building a large-scale data commons allows data to be repurposed and reanalyzed, fostering collaboration and accelerating the discovery of effective SCI treatments.