scholarly journals Investigating Transcriptional Dynamics Changes and Time-Dependent Marker Gene Expression in the Early Period After Skeletal Muscle Injury in Rats

2021 ◽  
Vol 12 ◽  
Author(s):  
Kang Ren ◽  
Liangliang Wang ◽  
Liang Wang ◽  
Qiuxiang Du ◽  
Jie Cao ◽  
...  
Keyword(s):  
Gene Expression ◽  
Skeletal Muscle ◽  
Muscle Injury ◽  
Marker Gene ◽  
Time Dependent ◽  
Skeletal Muscle Injury ◽  
Early Stages ◽  
Transcriptional Dynamics ◽  
Marker Gene Expression ◽  
Time Periods

Following skeletal muscle injury (SMI), from post-injury reaction to repair consists of a complex series of dynamic changes. However, there is a paucity of research on detailed transcriptional dynamics and time-dependent marker gene expression in the early stages after SMI. In this study, skeletal muscle tissue in rats was taken at 4 to 48 h after injury for next-generation sequencing. We examined the transcriptional kinetics characteristics during above time periods after injury. STEM and maSigPro were used to screen time-correlated genes. Integrating 188 time-correlated genes with 161 genes in each time-related gene module by WGCNA, we finally identified 18 network-node regulatory genes after SMI. Histological staining analyses confirmed the mechanisms underlying changes in the tissue damage to repair process. Our research linked a variety of dynamic biological processes with specific time periods and provided insight into the characteristics of transcriptional dynamics, as well as screened time-related biological indicators with biological significance in the early stages after SMI.

scholarly journals EFFECTS OF CONTUSION AND EXHAUSTIVE EXERCISE ON MG53, PTRF IN SKELETAL MUSCLE OF RATS

2019 ◽  
Vol 25 (6) ◽  
pp. 455-459
Author(s):  
Tongbin Pan ◽  
Xinwei Tong ◽  
Leilei Ye ◽  
Mengjin Ji ◽  
Jianjian Jiao
Keyword(s):  
Gene Expression ◽  
Skeletal Muscle ◽  
Muscle Injury ◽  
Exhaustive Exercise ◽  
Control Group ◽  
Repair Mechanism ◽  
Level Of Evidence ◽  
Skeletal Muscle Injury ◽  
Results Of Treatment ◽  
Significant Difference

ABSTRACT Objectives To study the effects of contusion and exhaustive exercise on gene expression of MG53, PTRF, Pax7 and β-catenin in skeletal muscle of rats, and reveal the repair mechanism of skeletal muscle injury. Methods Forty-two male Wistar rats were randomly divided into 7 groups, with 6 rats in each group. All groups were euthanized at different time points after exhaustive exercise and contusion, respectively, while the control group was euthanized in resting state. The right gastrocnemius muscles were measured for mRNAs of MG53, PTRF, Pax7 and β-catenin by real time PCR. Results MG53 mRNA and PTRF mRNA of skeletal muscle in groups immediately after exhaustive exercise and after contusion increased significantly (p<0.05), while the two indices decreased constantly at 24 and 48 hours after injury with a similar change trend. Compared with the control group, Pax7 mRNA of skeletal muscle as a marker showed no significant difference in exhaustive exercise groups, but decreased at 48 hours after contusion (p<0.05). β-catenin mRNA of skeletal muscle down-regulated significantly over 24 hours after injury, then activated with an increased value at 48 hours after contusion (p<0.05). As a whole, the variations in the above indices in the contusion groups covered a wider range than in the exhaustive exercise groups. Conclusion The cytomembrane repair mechanism of MG53 and PTRF began immediately after the end of exhaustive exercise and contusion. Activation of Pax7 as the satellite cell marker took longer, and Wnt/β-catenin pathway showed first a decrease and then an increase resulting from the time-dependent gene expression during the repair of skeletal muscle injury. Level of evidence III, Therapeutic studies investigating the results of treatment.

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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