scholarly journals Interaction between HSP 70 and iNOS in skeletal muscle injury and repair

2015 ◽  
Vol 11 (5) ◽  
pp. 240-243 ◽  
Author(s):  
Kijeong Kim
Keyword(s):  
Skeletal Muscle ◽  
Muscle Injury ◽  
Hsp 70 ◽  
Skeletal Muscle Injury ◽  
Injury And Repair

Skeletal muscle injury and repair: A role for complement

2018 ◽  
Vol 102 ◽  
pp. 165
Author(s):  
Erin Jacobs ◽  
Carolina Ortiz ◽  
Edouard Al-Chami ◽  
Mohsen Afshar ◽  
Clinton Robbins ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Injury ◽  
Skeletal Muscle Injury ◽  
Injury And Repair

scholarly journals Annexin A1 drives macrophage skewing towards a resolving phenotype to accelerate the regeneration of muscle injury through AMPK activation

2018 ◽  
Author(s):  
Simon McArthur ◽  
Thomas Gobbetti ◽  
Gaëtan Juban ◽  
Thibaut Desgeorges ◽  
Marine Theret ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Injury ◽  
Muscle Fibres ◽  
Annexin A1 ◽  
Skeletal Muscle Injury ◽  
Cellular Processes ◽  
Reparative Process ◽  
Injury And Repair ◽  
Inflammation Resolution

SummaryUnderstanding the circuits that promote an efficient resolution of inflammation is crucial to deciphering the molecular and cellular processes required to promote tissue repair. Macrophages play a central role in the regulation of inflammation, resolution and repair/regeneration. Using a model of skeletal muscle injury and repair, herein we identify Annexin A1 (AnxA1) as the extracellular trigger of macrophage skewing towards a pro-reparative phenotype. Brought into the injured tissue initially by migrated neutrophils, and then over-expressed in infiltrating macrophages, AnxA1 activates FPR2/ALX receptors and the downstream AMPK signalling cascade leading to macrophage skewing, dampening of inflammation and regeneration of muscle fibres. Mice lacking AnxA1 in all cells or in myeloid cells only display a defect in this reparative process.In vitroexperiments recapitulated these properties, with AMPK null macrophages lacking AnxA1-mediated polarization. Collectively, these data identify the AnxA1/FPR2/AMPK axis as a novel pathway in skeletal muscle injury regeneration.

scholarly journals Mechanisms of skeletal muscle injury and repair revealed by gene expression studies in mouse models

2007 ◽  
Vol 582 (2) ◽  
pp. 825-841 ◽  
Author(s):  
Gordon L. Warren ◽  
Mukesh Summan ◽  
Xin Gao ◽  
Rebecca Chapman ◽  
Tracy Hulderman ◽  
...  
Keyword(s):  
Gene Expression ◽  
Skeletal Muscle ◽  
Mouse Models ◽  
Muscle Injury ◽  
Skeletal Muscle Injury ◽  
Expression Studies ◽  
Gene Expression Studies ◽  
Injury And Repair

scholarly journals Stem Cells for the Treatment of Skeletal Muscle Injury

2009 ◽  
Vol 28 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Andres J. Quintero ◽  
Vonda J. Wright ◽  
Freddie H. Fu ◽  
Johnny Huard
Keyword(s):  
Skeletal Muscle ◽  
Stem Cells ◽  
Muscle Injury ◽  
Skeletal Muscle Injury

scholarly journals Modelling the skeletal muscle injury recovery using in vivo contrast-enhanced micro-CT: a proof-of-concept study in a rat model

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Bruno Paun ◽  
Daniel García Leon ◽  
Alex Claveria Cabello ◽  
Roso Mares Pages ◽  
Elena de la Calle Vargas ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Rat Model ◽  
Muscle Injury ◽  
Micro Ct ◽  
Skeletal Muscle Injury ◽  
Monitoring Time ◽  
Contrast Enhanced Ct ◽  
Contrast Enhanced ◽  
Injury Recovery

Abstract Background Skeletal muscle injury characterisation during healing supports trauma prognosis. Given the potential interest of computed tomography (CT) in muscle diseases and lack of in vivo CT methodology to image skeletal muscle wound healing, we tracked skeletal muscle injury recovery using in vivo micro-CT in a rat model to obtain a predictive model. Methods Skeletal muscle injury was performed in 23 rats. Twenty animals were sorted into five groups to image lesion recovery at 2, 4, 7, 10, or 14 days after injury using contrast-enhanced micro-CT. Injury volumes were quantified using a semiautomatic image processing, and these values were used to build a prediction model. The remaining 3 rats were imaged at all monitoring time points as validation. Predictions were compared with Bland-Altman analysis. Results Optimal contrast agent dose was found to be 20 mL/kg injected at 400 μL/min. Injury volumes showed a decreasing tendency from day 0 (32.3 ± 12.0mm3, mean ± standard deviation) to day 2, 4, 7, 10, and 14 after injury (19.6 ± 12.6, 11.0 ± 6.7, 8.2 ± 7.7, 5.7 ± 3.9, and 4.5 ± 4.8 mm3, respectively). Groups with single monitoring time point did not yield significant differences with the validation group lesions. Further exponential model training with single follow-up data (R2 = 0.968) to predict injury recovery in the validation cohort gave a predictions root mean squared error of 6.8 ± 5.4 mm3. Further prediction analysis yielded a bias of 2.327. Conclusion Contrast-enhanced CT allowed in vivo tracking of skeletal muscle injury recovery in rat.

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