Haojie Huang, Mengjiao Chen, L. Hou, Xiaoli Liu, D. Qiao
{"title":"运动性疲劳大鼠运动表现与肌电活动的相关性研究","authors":"Haojie Huang, Mengjiao Chen, L. Hou, Xiaoli Liu, D. Qiao","doi":"10.14428/EBR.V1I5.10913","DOIUrl":null,"url":null,"abstract":"Objective Assess the muscle contraction ability of rats before and after exercise fatigue quantitatively, and analyze the correlation between exercise performance and muscle electrical activity. This study intends to provide a theoretical principle for exercise fatigue. \nMethods 7 healthy adult male SD rats (300~350g) were used and trained for adaptive treadmill by running on the treadmill for 1 week and holding on a vertical rectangular railing (20×10cm, 10 iron bars) until it's mastered. After this training, we used rat grasping force tester( BioSEB GS3) to measure the maximum grasping force(MGF) of rat's limbs, each rat was carried out 3 times, bout interval is 2 minutes. In addition, the grasping bar time(GBT) was recorded 3 times , bout interval is 30 minutes. We let rats to grasp and hold on a vertical rectangular railing(20×10cm, 10 iron bars), evaluation of rat muscular endurance by grasping bar time(GBT), each rat was carried out 3 times, bout interval is 30 minutes; During the MGF and GBT test, motor unit recruitment and discharge frequency was predicted by measuring the EMG of extensor muscles of the right hindlimb and flexor elbow muscles of the right forelimb by wireless non-invasive miniature surface EMG tester (Italy, BTS FREEEMG), the max Root Mean Square (maxRMS) and Median Frequency (MF) parameter was used to evaluate motor unit recruitment and discharge frequency, respectively. \nAfter these, the rats were allowed to have a one-day rest, and then had a load motion program on the treadmill (three levels’ load: the first stage movement speed 8.2 m/min, exercise time 15 min; second stage speed 15 m/min, exercise time 15 min; third stage speed at 20 m/min, exercise to fatigue ) to build the rats EF model by monitoring the acceleration of the rat's sprint with a miniature wireless acceleration sensor (18g). 30 continuous sprint acceleration at the end of running was less than half of initial acceleration and the running posture of the rats changed to prostrate, and remained at the end of the runway for a long time. Later, quantitative correlational data analyses such as mean, Pearson correlation, analysis of one-way ANOVA and paired sample t test were performed in this study. \nResults (1) The rats’ sprint acceleration of treadmill exercise at the end stage (the final 1/5 of the total time) decreased by 56.9% (P < 0.01) when compared with the early stage (the begining 1/5 of the total time). (2) The MGF and GBT of EF decreased by 68.1% (P < 0.01) and 90.38% (P < 0.01), respectively when compared with the beginning EF; in addition, the EMG maxRMS and MF of hindlimb and forelimb of EF rats had significantly reduced (P < 0.01), and the rats’ MGF/GBT was positively correlated with EMG maxRMS/MF significantly (MGF: forelimb rmaxRMS = 0.901, P < 0.01,rMF = 0.761, P < 0.01; hindlimb rmaxRMS = 0.913, P < 0.01,rMF = 0.783, P < 0.01; GBT: forelimb rmaxRMS = 0.922, P < 0.01,rMF = 0.806, P < 0.01; hindlimb rmaxRMS = 0.908, P < 0.01,rMF = 0.896, P < 0.01). \nConclusions Exercise fatigue reduced the muscle strength, muscular endurance and muscle power of rates significantly, which may be related to the decreased recruitment, rhythm synchronization and discharge frequency of muscle motor units of forelimb flexor and hindlimb extensor.","PeriodicalId":12276,"journal":{"name":"Exercise Biochemistry Review","volume":"27 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PO-243 Correlation between exercise performance and muscle electrical activity in Exercise-induced Fatigue Rats\",\"authors\":\"Haojie Huang, Mengjiao Chen, L. Hou, Xiaoli Liu, D. Qiao\",\"doi\":\"10.14428/EBR.V1I5.10913\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective Assess the muscle contraction ability of rats before and after exercise fatigue quantitatively, and analyze the correlation between exercise performance and muscle electrical activity. This study intends to provide a theoretical principle for exercise fatigue. \\nMethods 7 healthy adult male SD rats (300~350g) were used and trained for adaptive treadmill by running on the treadmill for 1 week and holding on a vertical rectangular railing (20×10cm, 10 iron bars) until it's mastered. After this training, we used rat grasping force tester( BioSEB GS3) to measure the maximum grasping force(MGF) of rat's limbs, each rat was carried out 3 times, bout interval is 2 minutes. In addition, the grasping bar time(GBT) was recorded 3 times , bout interval is 30 minutes. We let rats to grasp and hold on a vertical rectangular railing(20×10cm, 10 iron bars), evaluation of rat muscular endurance by grasping bar time(GBT), each rat was carried out 3 times, bout interval is 30 minutes; During the MGF and GBT test, motor unit recruitment and discharge frequency was predicted by measuring the EMG of extensor muscles of the right hindlimb and flexor elbow muscles of the right forelimb by wireless non-invasive miniature surface EMG tester (Italy, BTS FREEEMG), the max Root Mean Square (maxRMS) and Median Frequency (MF) parameter was used to evaluate motor unit recruitment and discharge frequency, respectively. \\nAfter these, the rats were allowed to have a one-day rest, and then had a load motion program on the treadmill (three levels’ load: the first stage movement speed 8.2 m/min, exercise time 15 min; second stage speed 15 m/min, exercise time 15 min; third stage speed at 20 m/min, exercise to fatigue ) to build the rats EF model by monitoring the acceleration of the rat's sprint with a miniature wireless acceleration sensor (18g). 30 continuous sprint acceleration at the end of running was less than half of initial acceleration and the running posture of the rats changed to prostrate, and remained at the end of the runway for a long time. Later, quantitative correlational data analyses such as mean, Pearson correlation, analysis of one-way ANOVA and paired sample t test were performed in this study. \\nResults (1) The rats’ sprint acceleration of treadmill exercise at the end stage (the final 1/5 of the total time) decreased by 56.9% (P < 0.01) when compared with the early stage (the begining 1/5 of the total time). (2) The MGF and GBT of EF decreased by 68.1% (P < 0.01) and 90.38% (P < 0.01), respectively when compared with the beginning EF; in addition, the EMG maxRMS and MF of hindlimb and forelimb of EF rats had significantly reduced (P < 0.01), and the rats’ MGF/GBT was positively correlated with EMG maxRMS/MF significantly (MGF: forelimb rmaxRMS = 0.901, P < 0.01,rMF = 0.761, P < 0.01; hindlimb rmaxRMS = 0.913, P < 0.01,rMF = 0.783, P < 0.01; GBT: forelimb rmaxRMS = 0.922, P < 0.01,rMF = 0.806, P < 0.01; hindlimb rmaxRMS = 0.908, P < 0.01,rMF = 0.896, P < 0.01). \\nConclusions Exercise fatigue reduced the muscle strength, muscular endurance and muscle power of rates significantly, which may be related to the decreased recruitment, rhythm synchronization and discharge frequency of muscle motor units of forelimb flexor and hindlimb extensor.\",\"PeriodicalId\":12276,\"journal\":{\"name\":\"Exercise Biochemistry Review\",\"volume\":\"27 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Exercise Biochemistry Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14428/EBR.V1I5.10913\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Exercise Biochemistry Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14428/EBR.V1I5.10913","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
目的定量评价运动疲劳前后大鼠的肌肉收缩能力,分析运动表现与肌电活动的相关性。本研究旨在为运动性疲劳提供理论依据。方法选用健康成年雄性SD大鼠7只(300~350g),通过在跑步机上跑步1周,并抓住垂直矩形栏杆(20×10cm, 10根铁条),直至熟练掌握,进行适应性跑步训练。训练结束后,采用大鼠抓握力测试仪(BioSEB GS3)测量大鼠四肢的最大抓握力(MGF),每只大鼠进行3次,每次间隔2分钟。同时记录抓棒时间(GBT) 3次,每次间隔30分钟。我们让大鼠抓握垂直矩形栏杆(20×10cm, 10根铁棒),通过抓杆时间(GBT)评价大鼠肌肉耐力,每只大鼠进行3次,每次间隔30分钟;在MGF和GBT试验中,通过无线无创微型表面肌电仪(意大利BTS FREEEMG)测量右后肢伸肌和右前肢屈肘肌的肌电信号预测运动单元的招募和放电频率,分别采用最大均方根(maxRMS)和中位数频率(MF)参数评估运动单元的招募和放电频率。在此之后,大鼠休息一天,然后在跑步机上进行负荷运动程序(三级负荷:第一阶段运动速度8.2 m/min,运动时间15 min;第二阶段速度15m /min,运动时间15min;第三阶段速度为20 m/min,运动至疲劳),利用微型无线加速度传感器(18g)监测大鼠冲刺时的加速度,建立大鼠EF模型。30连续冲刺加速度在跑步结束时小于初始加速度的一半,大鼠的跑步姿势变为俯卧,并长时间停留在跑道终点。随后,本研究进行了均值、Pearson相关、单因素方差分析、配对样本t检验等定量相关数据分析。结果(1)大鼠在跑步机运动结束阶段(最后1/5总时间)的冲刺加速度较运动早期(开始1/5总时间)降低56.9% (P < 0.01)。(2)与初伐期相比,采伐期MGF和GBT分别下降了68.1% (P < 0.01)和90.38% (P < 0.01);此外,EF大鼠后肢和前肢肌电最大均方根值和MF均显著降低(P < 0.01), MGF/GBT与EMG最大均方根值/MF显著正相关(MGF:前肢rmaxRMS = 0.901, P < 0.01,rMF = 0.761, P < 0.01;后肢rmaxRMS = 0.913, P < 0.01,rMF = 0.783, P < 0.01;GBT:前肢rmaxRMS = 0.922, P < 0.01,rMF = 0.806, P < 0.01;后肢rmaxRMS = 0.908, P < 0.01,rMF = 0.896, P < 0.01)。结论运动疲劳使大鼠的肌力、肌肉耐力和肌力明显降低,这可能与前肢屈肌和后肢伸肌肌肉运动单元的补充、节律同步性和放电频率降低有关。
PO-243 Correlation between exercise performance and muscle electrical activity in Exercise-induced Fatigue Rats
Objective Assess the muscle contraction ability of rats before and after exercise fatigue quantitatively, and analyze the correlation between exercise performance and muscle electrical activity. This study intends to provide a theoretical principle for exercise fatigue.
Methods 7 healthy adult male SD rats (300~350g) were used and trained for adaptive treadmill by running on the treadmill for 1 week and holding on a vertical rectangular railing (20×10cm, 10 iron bars) until it's mastered. After this training, we used rat grasping force tester( BioSEB GS3) to measure the maximum grasping force(MGF) of rat's limbs, each rat was carried out 3 times, bout interval is 2 minutes. In addition, the grasping bar time(GBT) was recorded 3 times , bout interval is 30 minutes. We let rats to grasp and hold on a vertical rectangular railing(20×10cm, 10 iron bars), evaluation of rat muscular endurance by grasping bar time(GBT), each rat was carried out 3 times, bout interval is 30 minutes; During the MGF and GBT test, motor unit recruitment and discharge frequency was predicted by measuring the EMG of extensor muscles of the right hindlimb and flexor elbow muscles of the right forelimb by wireless non-invasive miniature surface EMG tester (Italy, BTS FREEEMG), the max Root Mean Square (maxRMS) and Median Frequency (MF) parameter was used to evaluate motor unit recruitment and discharge frequency, respectively.
After these, the rats were allowed to have a one-day rest, and then had a load motion program on the treadmill (three levels’ load: the first stage movement speed 8.2 m/min, exercise time 15 min; second stage speed 15 m/min, exercise time 15 min; third stage speed at 20 m/min, exercise to fatigue ) to build the rats EF model by monitoring the acceleration of the rat's sprint with a miniature wireless acceleration sensor (18g). 30 continuous sprint acceleration at the end of running was less than half of initial acceleration and the running posture of the rats changed to prostrate, and remained at the end of the runway for a long time. Later, quantitative correlational data analyses such as mean, Pearson correlation, analysis of one-way ANOVA and paired sample t test were performed in this study.
Results (1) The rats’ sprint acceleration of treadmill exercise at the end stage (the final 1/5 of the total time) decreased by 56.9% (P < 0.01) when compared with the early stage (the begining 1/5 of the total time). (2) The MGF and GBT of EF decreased by 68.1% (P < 0.01) and 90.38% (P < 0.01), respectively when compared with the beginning EF; in addition, the EMG maxRMS and MF of hindlimb and forelimb of EF rats had significantly reduced (P < 0.01), and the rats’ MGF/GBT was positively correlated with EMG maxRMS/MF significantly (MGF: forelimb rmaxRMS = 0.901, P < 0.01,rMF = 0.761, P < 0.01; hindlimb rmaxRMS = 0.913, P < 0.01,rMF = 0.783, P < 0.01; GBT: forelimb rmaxRMS = 0.922, P < 0.01,rMF = 0.806, P < 0.01; hindlimb rmaxRMS = 0.908, P < 0.01,rMF = 0.896, P < 0.01).
Conclusions Exercise fatigue reduced the muscle strength, muscular endurance and muscle power of rates significantly, which may be related to the decreased recruitment, rhythm synchronization and discharge frequency of muscle motor units of forelimb flexor and hindlimb extensor.