Browse the latest research summaries in the field of bioinformatics for spinal cord injury patients and caregivers.
Showing 61-70 of 296 results
eLife, 2021 • November 16, 2021
Intra-operative monitoring records (MAP, HR) and neurological outcome data were extracted and curated from two Level 1 trauma centers. A final cohort of 118 patients was included The exploratory netw...
KEY FINDING: Time outside of an optimum MAP range (hypotension or hypertension) during surgery was associated with lower likelihood of neurological recovery at hospital discharge.
Journal of Musculoskeletal and Neuronal Interactions, 2021 • April 4, 2021
This study aimed to identify key molecules involved in skeletal muscle atrophy after spinal cord injury (SCI) using bioinformatics analysis of the GSE21497 dataset. The analysis revealed 412 different...
KEY FINDING: UBE2D1, JUN, and FBXO32 are identified as key genes related to skeletal muscle atrophy after SCI, suggesting their potential involvement in the progression of muscle wasting.
The Journal of Spinal Cord Medicine, 2023 • March 1, 2023
The review highlights the potential utility of ALP and B-ALP in assessing changes in bone turnover in humans with SCI, but evidence in animal models is less compelling. The association between ALP and...
KEY FINDING: Evidence regarding changes in ALP levels in individuals with SCI compared to controls is conflicting.
Frontiers in Physiology, 2022 • January 5, 2022
The study presents a new gait analysis system (OMGait) that uses a smartphone camera and the OpenPose algorithm to measure gait kinematics. OMGait was found to be accurate in measuring hip, knee, and ...
KEY FINDING: OMGait can measure hip, knee, and ankle joint kinematics with relatively good accuracy using a common mobile phone camera and a personal computer using OpenPose.
Experimental Biology and Medicine, 2022 • June 1, 2022
The study identifies differentially expressed immune-related genes (DEIRGs) and their ceRNA mechanisms in spinal cord injury (SCI) pathogenesis using microarray datasets and a rat SCI model. Bioinform...
KEY FINDING: Hsa_circ_0026646 was identified as a core circRNA upregulated in SCI, potentially acting as a 'molecular sponge' for miR-331-3p.
Neuropsychopharmacology, 2022 • June 18, 2022
This study examined the association between day-of-injury blood biomarkers (GFAP and hsCRP) and the development of PTSD in patients with mild TBI. The results indicated that higher levels of GFAP were...
KEY FINDING: Elevated day-of-injury plasma GFAP levels were associated with a reduced risk of PTSD after mTBI.
Sensors, 2022 • June 20, 2022
This study introduces a multi-view vision based method for scoring the severity of Cervical Dystonia (CD). It addresses the need for remote diagnosis and treatment, especially highlighted by the recen...
KEY FINDING: The multi-view vision-based method demonstrated sufficient validity and reliability in scoring CD severity.
Cells, 2022 • July 18, 2022
This study used RNA sequencing to analyze gene expression changes in rats at five time points after spinal cord injury (SCI): 1 hour, 1 day, 1 week, 1 month, and 3 months. The researchers identified d...
KEY FINDING: The inflammatory response was increased at 1 hour and 1 day after SCI, while the integral component of the synaptic membrane was increased at 1 day.
PeerJ, 2022 • August 16, 2022
This study aimed to investigate the effect of Sema3A/NRP1 signaling in oligodendrocytes (OLs) after spinal cord injury (SCI) in rats. Bioinformatics analysis and experimental validation were used to e...
KEY FINDING: After SCI, significantly fewer oligodendrocytes were observed, while NRP1 and its ligand Sema3A were upregulated.
J Neural Eng., 2022 • October 18, 2022
This study introduces a machine-learning framework to identify EES parameters capable of generating desired patterns of EMG activity. The approach involves training a forward neural network model to p...
KEY FINDING: Neural networks can effectively approximate the complex computations of the spinal cord related to sensorimotor control, accurately predicting muscle activity based on EES parameters.