Objective: Treadmill pre-training can ameliorate blood brain barrier (BBB) dysfunction in ischemia-reperfusion injury, however, its role in ischemic brain edema remains unclear. This study assessed the neuroprotective effects induced by treadmill pre-training, particularly on brain edema in transient middle cerebral artery occluded model.
Methods: Transient middle cerebral artery occlusion to induce stroke was performed on rats after 2 weeks of treadmill pre-training. Magnetic resonance imaging (MRI) was used to evaluate the dynamic impairment of cerebral edema after ischemia-reperfusion injury. In addition, measurements of wet and dry brain weight, Evans Blue assay and Garcia scores were performed to investigate the cerebral water content, BBB permeability and neurologic deficit, respectively. Moreover, during ischemia-reperfusion injury, the expression of Aquaporin 4 (AQP4) was detected using immunofluorescence and Western bloting analyses.
Results: Treadmill pre-training improved the relative apparent diffusion coefficient (rADC) loss in the ipsilateral cortex and striatum at 1 hour and 2.5 hours after cerebral ischemia. In the treadmill pre-training group, T2W1 values of the ipsilateral cortex and striatum increased less at 7.5 hours, 1 day, and 2 days after stroke while the brain water content decreased at 2 days after ischemia. Regarding the BBB permeability, the semi-quantitative amount of contrast agent leakage of treadmill pre-training group significantly decreased. Less Evans Blue exudation was also observed in treadmill pre-training group at 2 days after stroke. In addition, treadmill pre-training mitigated the Garcia score deficits at 2 days after stroke. Immunofluorescence staining and Western blotting results showed a significant decrease in the expression of AQP4 after treadmill ischemia following pre-training.
Conclusions: Treadmill pre-training may reduce cerebral edema and BBB dysfunction during cerebral ischemia/reperfusion injury via the down-regulation of AQP4.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3886991 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0084602 | PLOS |
Publication Analysis
Top Keywords
Similar Publications
Individual joint contributions to forward propulsion during treadmill walking in women with hip osteoarthritis.
J Orthop Res
January 2025
Department of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, Illinois, USA.
As we age, reliance on the ankle musculature for push-off during walking reduces and increased reliance on the hip musculature is observed. It is unclear how joint pathology like osteoarthritis may affect this distal-to-proximal redistribution of propulsion. Here, we revisited a proof-of-concept study to study the effect of split-belt treadmill training, designed to reduce step length asymmetry, on forward propulsion during walking.
View Article and Find Full Text PDFEvaluation of the Left Ventricular Myocardium Using Layer-Specific Strain Analysis in Adolescent Athletes Performing High-Intensity Interval Training.
Pediatr Cardiol
April 2024
Department of Pediatric Cardiology, Kocaeli University, Kocaeli, Turkey.
High-intensity interval training (HIIT) has been demonstrated to be an efficient way of improving physical performance in adolescent athletes compared to conventional training modalities. The objective of this study was to evaluate the impact of HIIT on the myocardial function of adolescent athletes, specifically focusing on left ventricular (LV) function, using conventional echocardiography and layer-specific strain (LSS) analysis. A total of 19 male adolescent athletes (with mean age of 16.
View Article and Find Full Text PDFSelf-Supervised Learning Improves Accuracy and Data Efficiency for IMU-Based Ground Reaction Force Estimation.
bioRxiv
January 2024
Department of Radiology and Biomedical Data Science, Stanford University, Stanford, CA, 94305, USA.
Article Synopsis
- Recent deep learning techniques can enhance kinetic assessments using IMU data, but they usually need a lot of labeled ground reaction force (GRF) data, which is often scarce.
- The researchers propose using self-supervised learning (SSL) to pre-train deep learning models with large IMU datasets, improving GRF estimation accuracy and making better use of available data.
- The study shows that SSL pre-training can significantly boost GRF estimation accuracy with minimal labeled data, suggesting that it can make IMU-driven assessments more practical and accessible.*
Article Synopsis
- Recent advancements in deep learning techniques can enhance IMU-driven kinetic assessment but require substantial amounts of ground reaction force (GRF) data for training; self-supervised learning (SSL) can help utilize large IMU datasets for pre-training models, improving accuracy and data efficiency in GRF estimation.* -
- The study involved masking parts of IMU data and training a transformer model to predict the masked sections, comparing various masking ratios across different datasets (real, synthetic, and combined) to optimize performance.* -
- Results showed that SSL pre-training significantly increased the accuracy of GRF estimation during walking tasks, allowing models to achieve similar accuracy with much less labeled data, and suggesting an optimal masking ratio of 6.25-
Acute and chronic cardiovascular responses to concentric and eccentric exercise in older adults with knee osteoarthritis.
BMC Sports Sci Med Rehabil
August 2023
Department of Physical Medicine and Rehabilitation, College of Medicine, University of Florida, UF Orthopaedics and Sports Medicine Institute, PO Box 112730, Gainesville, FL, 32611, USA.
Purpose: Muscle contraction type in resistance exercise training may confer benefits besides strength in individuals with osteoarthritis and cardiovascular disease (CVD) risks. The purpose of the study was to explore whether Eccentric-resistance training (RT) improved hemodynamic responses to acute walking exercise stress compared to Concentric-RT among individuals with knee OA over four months.
Methods: This was a secondary analysis from a randomized, controlled, single-blinded study.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!