Browse the latest research summaries in the field of bioinformatics for spinal cord injury patients and caregivers.
Showing 171-180 of 334 results
Molecular Oncology, 2021 • January 24, 2021
This study benchmarks HLA genotyping on TCGA data using multiple tools to generate reliable HLA genotyping results. It finds that HLA class I genotyping is generally better than class II genotyping, w...
KEY FINDING: POLY-SOLVER, OptiType, and xHLA show high accuracy in HLA class I genotyping, with accuracies of 0.954, 0.949, and 0.937, respectively.
Frontiers in Immunology, 2023 • March 29, 2023
This study systematically investigates changes in peripheral blood immune cells and differential expression of immune-related genes after SCI to identify immunodiagnostic biomarkers for SCI and for AI...
KEY FINDING: Seventeen kinds of immune cells showed different levels in SCI patients versus healthy controls, with seven immune cell types significantly increased after SCI.
Photoacoustics, 2021 • March 10, 2021
This study demonstrates the feasibility of using photoacoustic time-frequency spectral analysis (PA-TFSA) to characterize bone mineral density (BMD) and bone microstructure. The results show that oste...
KEY FINDING: Osteoporotic bone samples with lower BMD and thinner MTT exhibit higher frequency components in PA-TFSA.
Frontiers in Cellular Neuroscience, 2023 • May 23, 2023
This editorial discusses the heterogeneity and spatial brain environment of neurodegenerative diseases and highlights the potential of omics approaches in understanding these diseases. It emphasizes t...
KEY FINDING: Proteomics studies are a promising method for biomarker discovery in neurodegenerative diseases.
The Journal of Spinal Cord Medicine, 2017 • May 1, 2017
This study aimed to identify biomarkers associated with health-related quality of life (HRQL) in individuals with spinal cord injury (SCI). The results indicated that C-reactive protein (CRP) is assoc...
KEY FINDING: CRP levels were inversely correlated with the Mental Component Summary (MCS) of the SF-36 questionnaire, even after adjusting for confounders.
The Journal of Spinal Cord Medicine, 2014 • January 1, 2014
Bioinformatics provides an opportunity to leverage collaborations to define and deliver Optimal Care for Spinal Cord Injury (SCI) patients. Large longitudinal datasets offer opportunities for combinin...
KEY FINDING: The development of large longitudinal datasets represents an unprecedented opportunity for combining data across fields.
PLoS ONE, 2014 • October 28, 2014
This study investigates the changes in protein abundance in the cerebrospinal fluid (CSF) of spinal cord injury (SCI) patients during the secondary phase of injury. The researchers identified eight pr...
KEY FINDING: Eight proteins showed differential abundance between complete and incomplete SCI at 1–8 days post-injury.
JOURNAL OF NEUROTRAUMA, 2017 • February 1, 2017
The study found that HMGB1 is elevated systemically in persons with acute or chronic traumatic SCI. HMGB1 levels in acute SCI were significantly higher than in uninjured persons and more than two-fold...
KEY FINDING: HMGB1 levels are significantly elevated in individuals with acute SCI within 0-3 days and 4-7 days post-injury, compared to uninjured controls.
IEEE Trans Biomed Eng, 2015 • October 1, 2015
This paper introduces a novel algorithm which can automatically optimize multi-electrode array stimulation parameters. The methodology is based on a novel Gaussian Process Batch Upper Confidence Bound...
KEY FINDING: GP-BUCB successfully controlled spinal electrostimulation in 37 testing sessions, selecting 670 stimuli.
J Mol Neurosci, 2015 • May 30, 2015
The study aimed to identify reliable markers for avulsion-injured spinal motoneurons, as traditional markers like ChAT are not detectable early after injury. The researchers investigated the expressio...
KEY FINDING: ATF-3 is a marker for avulsion-injured motoneurons. It was rapidly induced and sustained in the nuclei of injured motoneurons.