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  4. Leveraging biomedical informatics for assessing plasticity and repair in primate spinal cord injury

Leveraging biomedical informatics for assessing plasticity and repair in primate spinal cord injury

Brain Res, 2015 · DOI: 10.1016/j.brainres.2014.10.048 · Published: September 4, 2015

Spinal Cord InjuryBioinformaticsResearch Methodology & Design

Simple Explanation

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.

Study Duration
Not specified
Participants
31 adult male rhesus monkeys (Macaca mulatta)
Evidence Level
Not specified

Key Findings

  • 1
    The study highlights the development of a comprehensive preclinical data record for non-human primate SCI studies, including functional behavior, electrophysiology, kinematics, in vivo MRI, postmortem histopathology, and a full medical record.
  • 2
    The research demonstrates the feasibility of integrating healthcare data into SCI research through a preclinical electronic medical records system, allowing for the alignment of health information with functional outcomes.
  • 3
    The findings emphasize the importance of multidimensional assessment of motor, sensory, and autonomic function, as well as histopathology, to identify syndromic patterns of functional recovery after SCI.

Research Summary

This review discusses the California Spinal Cord Consortium's (CSCC) work in developing a translational non-human primate model for spinal cord injury (SCI). The CSCC employs a biomedical informatics framework to collect, curate, and analyze multidimensional data, including motor, sensory, autonomic, and pathological information, to monitor plasticity and repair after SCI. The ultimate goal is to improve the clinical translation of promising therapeutic strategies for SCI by integrating diverse data types, applying statistical science, and leveraging the full biomedical information from preclinical trials.

Practical Implications

Improved Translational Research

The non-human primate model, combined with biomedical informatics, offers a more clinically relevant platform for testing SCI therapies before human trials.

Precision Medicine Approach

Applying 'precision medicine' principles to SCI research can enable high-level computational approaches to analyze multidimensional health information and personalize therapeutic interventions.

Enhanced Data Sharing

Building a large-scale data commons allows data to be repurposed and reanalyzed, fostering collaboration and accelerating the discovery of effective SCI treatments.

Study Limitations

  • 1
    The challenges of data collection, entry, curation, and visualization remain a significant bottleneck for bringing information science into the SCI field.
  • 2
    At the moment, the non-human primate data in our database only consists of studies from the CSCC.
  • 3
    The study acknowledges that the results of leveraging this infrastructure for novel insight discovery are topics of other papers currently in preparation.

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