Browse the latest research summaries in the field of bioinformatics for spinal cord injury patients and caregivers.
Showing 11-20 of 334 results
Scientific Reports, 2025 • January 9, 2025
The study aimed to analyze cervical sagittal alignment changes following growing rod treatment in early-onset scoliosis (EOS) and identify risk factors for cervical imbalance using machine learning. T...
KEY FINDING: Growing rod surgery significantly affects cervical sagittal alignment in EOS patients.
Scientific Reports, 2025 • January 8, 2025
This study investigates the role of cuproptosis in spinal cord injury (SCI) using bioinformatics analysis of RNA sequencing data from SCI samples. It identifies hub genes, including Cd48 and Mpeg1, an...
KEY FINDING: Two hub genes, Cd48 and Mpeg1, were identified and exhibited a strong positive correlation (R = 0.92) and shared similar pathways, suggesting their importance in SCI.
Communications Biology, 2025 • January 9, 2025
This study uses spatial transcriptomics (ST), single-nucleus RNA-sequencing (snRNA-seq) and bulk RNA-sequencing (bulk RNA-seq) to characterize regional pathological heterogeneity of the spinal cord (S...
KEY FINDING: The study found unique spatial atlases of genes, cell populations, cell-cell cross-talks, signaling pathways, and transcriptional regulatory networks in the spinal cord of neuropathic pain mice compared to sham mice.
Global Spine Journal, 2025 • January 1, 2025
This study evaluated the ability of ChatGPT-4o and Google Gemini Advanced to adhere to the 2022 American College of Surgeons (ACS) Best Practice Guidelines for spinal injury management. The AI models ...
KEY FINDING: ChatGPT-4o was correct on 73.07% of the questions, while Gemini Advanced was correct on 69.23%. Most incorrect answers were due to not providing enough information rather than giving wrong information.
Scientific Reports, 2025 • January 1, 2025
This study assessed the accuracy of a radiomics approach, based on machine learning and utilizing conventional MRI, in predicting the prognosis of patients with SCI. The random forest (RF) combined wi...
KEY FINDING: A combined model using ResNet34 and radiomics demonstrated excellent performance with an accuracy of 0.800 and an AUC of 0.893 in predicting long-term motor function outcomes.
Frontiers in Cellular Neuroscience, 2025 • February 5, 2025
This study employed bioinformatics analysis to explore the association between SCI and chronic pain, aiming to uncover relevant pathways and molecular biomarkers for potential therapeutic targeting. T...
KEY FINDING: The study identified 101 differentially expressed genes (DEGs) associated with SCI and chronic pain. Further analysis led to the identification of 15 hub genes and 4 potential candidate genes.
Scientific Reports, 2025 • March 1, 2025
The study performs a comprehensive bioinformatics analysis of multi-omics data to reconstruct the differentiation trajectory of ODC/OPC in SCI, leading to the development of an ODC/OPC differentiation...
KEY FINDING: A novel SCI classification model based on the expression of prognostic differentially expressed ODC/OPC differentiation-related genes (PDEODGs) was proposed, including Low, Median, and High ODC/OPC Score Classifications.
The Journal of Clinical Investigation, 2025 • January 14, 2025
This study introduces a multi-analyte blood test for acute SCI, utilizing spinal cord–derived cfDNA and plasma protein alterations to inform diagnosis and prognosis. The Spinal Cord Injury Index (SCII...
KEY FINDING: A ddPCR assay detected spinal cord–derived cfDNA in plasma of 50 patients with acute SCI (AUC: 0.89, 95% CI 0.83–0.95, P < 0.0001).
J. Clin. Med., 2025 • February 21, 2025
This study analyzed data from the German Arthroplasty Registry (EPRD) on nearly 100,000 femoral neck fractures to identify survival rates and risk factors for failure following hemiarthroplasty (HA) a...
KEY FINDING: The failure rate was 3.7% for hemiarthroplasties and 5.6% for total hip arthroplasties, with most failures occurring within six weeks after surgery.
Cureus, 2025 • February 18, 2025
This prospective case-control study evaluated serum S100B levels in ASCI patients and healthy controls to assess its potential as a biomarker for injury severity and neurological recovery. The study f...
KEY FINDING: Serum S100B levels in ASCI patients were significantly higher than controls at baseline and two weeks, normalizing after six weeks.