The feasibility of in vivo imaging of infiltrating blood cells for predicting the functional prognosis after spinal cord injury View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-09

AUTHORS

Kazuya Yokota, Takeyuki Saito, Kazu Kobayakawa, Kensuke Kubota, Masamitsu Hara, Masaharu Murata, Yasuyuki Ohkawa, Yukihide Iwamoto, Seiji Okada

ABSTRACT

After a spinal cord injury (SCI), a reliable prediction of the potential functional outcome is essential for determining the optimal treatment strategy. Despite recent advances in the field of neurological assessment, there is still no satisfactory methodology for predicting the functional outcome after SCI. We herein describe a novel method to predict the functional outcome at 12 hours after SCI using in vivo bioluminescence imaging. We produced three groups of SCI mice with different functional prognoses: 50 kdyn (mild), 70 kdyn (moderate) and 90 kdyn (severe). Only the locomotor function within 24 hours after SCI was unable to predict subsequent functional recovery. However, both the number of infiltrating neutrophils and the bioluminescence signal intensity from infiltrating blood cells were found to correlate with the severity of the injury at 12 hours after SCI. Furthermore, a strong linear relationship was observed among the number of infiltrating neutrophils, the bioluminescence signal intensity, and the severity of the injury. Our findings thus indicate that in vivo bioluminescence imaging is able to accurately predict the long-term functional outcome in the hyperacute phase of SCI, thereby providing evidence that this imaging modality could positively contribute to the future development of tailored therapeutic approaches for SCI. More... »

PAGES

25673

References to SciGraph publications

  • 2007-03. Guidelines for the conduct of clinical trials for spinal cord injury as developed by the ICCP panel: spontaneous recovery after spinal cord injury and statistical power needed for therapeutic clinical trials in SPINAL CORD
  • 2012-07. Phosphorylated neurofilament subunit NF-H as a biomarker for evaluating the severity of spinal cord injury patients, a pilot study in SPINAL CORD
  • 2014-04. Real-time imaging of oxidative and nitrosative stress in the liver of live animals for drug-toxicity testing in NATURE BIOTECHNOLOGY
  • 2006-08. Spinal cord repair strategies: why do they work? in NATURE REVIEWS NEUROSCIENCE
  • 2014-12. Neutrophil contribution to spinal cord injury and repair in JOURNAL OF NEUROINFLAMMATION
  • 2009-07. Biomarkers in spinal cord injury in SPINAL CORD
  • 2008-12. Bioluminescence in vivo imaging of autoimmune encephalomyelitis predicts disease in JOURNAL OF NEUROINFLAMMATION
  • 2013-06. Making the Brain Glow: In Vivo Bioluminescence Imaging to Study Neurodegeneration in MOLECULAR NEUROBIOLOGY
  • 2009-04. Bioluminescence imaging of myeloperoxidase activity in vivo in NATURE MEDICINE
  • 1999-03. Electrophysiological recordings in patients with spinal cord injury: significance for predicting outcome in SPINAL CORD
  • 2014-08. Circulating microRNAs as biomarkers for evaluating the severity of acute spinal cord injury in SPINAL CORD
  • 2014-03. Rejuvenation of the muscle stem cell population restores strength to injured aged muscles in NATURE MEDICINE
  • 2013-04. Enhanced detection of myeloperoxidase activity in deep tissues through luminescent excitation of near-infrared nanoparticles in NATURE MEDICINE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/srep25673

    DOI

    http://dx.doi.org/10.1038/srep25673

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1011454645

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/27156468


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