[1]徐 琳,王金之,郑益丽,等.小鼠过度训练模型肌肉特异性microRNAs在循环和不同组织中的变化研究[J].南京师范大学学报(自然科学版),2019,42(04):103-110.[doi:10.3969/j.issn.1001-4616.2019.04.015]
　Xu Lin,Wang Jinzhi,Zheng Yili,et al.Changes of Muscle-Specific microRNAs in Circulation andDifferent Tissues in the Mouse Overtraining Model[J].Journal of Nanjing Normal University(Natural Science Edition),2019,42(04):103-110.[doi:10.3969/j.issn.1001-4616.2019.04.015]
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小鼠过度训练模型肌肉特异性microRNAs在循环和不同组织中的变化研究()
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《南京师范大学学报》（自然科学版）[ISSN:1001-4616/CN:32-1239/N]

卷:
第42卷
期数:
2019年04期
页码:
103-110
栏目:
·生命科学·
出版日期:
2019-12-30

文章信息/Info

Title:
Changes of Muscle-Specific microRNAs in Circulation andDifferent Tissues in the Mouse Overtraining Model
文章编号:
1001-4616(2019)04-0103-08
作者:
徐 琳1; 2; 王金之1; 2; 郑益丽4; 田 东2; 张海鹏1; 徐盛嘉2; 姚增强3; 马继政2
(1.南京体育学院运动健康学院,江苏 南京 210014)(2.陆军工程大学军事运动科学研究中心,江苏南京 211101)(3.南京医科大学体育学院,江苏 南京 211166)(4.南京大学生命科学学院,江苏 南京 211101)
Author(s):
Xu Lin1; 2; Wang Jinzhi1; 2; Zheng Yili4; Tian Dong2; Zhang Haipeng1; Xu Shengjia2; Yao Zengqiang3; Ma Jizheng2
(1.Department of Exercise and Heath,Nanjing Sport Institute,Nanjing 210014,China)(2.The Research Center of Military Exercise Science,The Army Engineering University of PLA,Nanjing 211101,China)(3.School of Physical Education,Nanjing Medical University,N
关键词:
miRNAs; 血清; 肝脏; 肌肉; 过度训练
Keywords:
microRNAs; serum; liver; muscle; overtraining
分类号:
G804.7
DOI:
10.3969/j.issn.1001-4616.2019.04.015
文献标志码:
A
摘要:
本实验探究肌肉特异性microRNAs(miRNAs)能否作为监测过度训练的潜在生物标志物,为预防过度训练的发生提供参考意义. 6周龄C57BL/6J雄性小鼠45只,随机分为控制组(CON组)、运动组(NT组)和过度训练组(OT组),每组15只. 按照相应的运动计划训练8周后,成功构建小鼠过度训练模型. 小鼠休息24 h后取血清、腓肠肌、心肌和肝脏,利用实时荧光定量PCR(RT-qPCR)检测不同组织中7种肌肉特异性miRNAs的变化情况.(1)8周训练后,NT组递增负荷测试成绩明显上升(P<0.0
Abstract:
The purpose of this study was to explore whether muscle-specific microRNAs(miRNAs)can be used as a potential biomarker to monitor overtraining and to provide reference significance for preventing overtraining. Forty-five C57BL/6J male mice,6 weeks old,were randomly divided into control group(CON),exercise group(NT)and overtraining group(OT),with 15 rats in each group. After training according to different 8-week exercise plans,the overtraining model of mice was successfully constructed. The mice were serum,gastrocnemius,myocardium and liver after 24 hours of rest. Real-time quantitative PCR(RT-qPCR)was used to detect the changes of seven muscle-specific miRNAs in different tissues.(1)After 8 weeks of training,the NT incremental load test scores increased significantly(P<0.05),but there was no significant difference in OT(P>0.05),and the OT score was significantly lower than NT(P<0.05).(2)Compared with CON,serum miR-133a,-133b,and -208a decreased in both exercise groups,but decreased significantly in OT(P<0.05). There was no significant difference between the two exercise groups(P>0.05).(3)Compared with CON,the levels of miR-1,-133a in the gastrocnemius muscles decreased in the two exercise groups,among which NT decreased significantly(P<0.05),OT had no significant difference(P>0.05),and the two exercise groups there was no significant difference(P>0.05).(4)There were no significant differences in the seven muscle-specific miRNAs in the liver of the three experimental groups(P>0.05).(5)Compared with CON,the level of miR-499 in the two exercise groups was significantly lower(P<0.05),but there was no significant change between the two exercise groups(P>0.05); miR-133 in the NT heart,there was a significant increase in 133b(P<0.05),but there was no significant difference between the two exercise groups(P>0.05). Among them,the level of miR-133a in the heart was significantly increased in OT compared with CON(P<0.05). To sum up,this experiment found that the levels of miR-1,miR-133a,miR-133b and miR-208a in different tissues have different degrees of significant changes,myomiRs can be used as a potential marker for monitoring overtraining,reflecting its physiological process.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2019-04-17.
基金项目:解放军理工大学预先研究基金(KYJYZLXY1602-35)、全军军事类研究生资助课题(2016JY374)、江苏省普通高校学术学位研究生科技创新计划项目(KYCX17_1369、KYCX19_1471).
通讯联系人:姚增强,讲师,硕士,研究方向:运动教学与训练. E-mail:yzq@njmu.edu.cn
更新日期/Last Update: 2019-12-31