A Simple and Inexpensive Running Wheel Model for Progressive Resistance Training in Mice.

车轮运转 肌肉肥大 阻力训练 骨骼肌 刺激(心理学) 计算机科学 刺激 攀登 物理医学与康复 啮齿动物模型 医学 模拟 神经科学
作者
Pieter J Koopmans,Kevin A Zwetsloot
出处
期刊:Journal of Visualized Experiments [MyJoVE Corporation]
卷期号: (182)
标识
DOI:10.3791/63933
摘要

Previously developed rodent resistance-based exercise models, including synergistic ablation, electrical stimulation, weighted-ladder climbing, and most recently, weighted-sled pulling, are highly effective at providing a hypertrophic stimulus to induce skeletal muscle adaptations. While these models have proven invaluable for skeletal muscle research, they are either invasive or involuntary and labor-intensive. Fortunately, many rodent strains voluntarily run long distances when given access to a running wheel. Loaded wheel running (LWR) models in rodents are capable of inducing adaptations commonly observed with resistance training in humans, such as increased muscle mass and fiber hypertrophy, as well as stimulation of muscle protein synthesis. However, the addition of moderate wheel load either fails to deter mice from running great distances, which is more reflective of an endurance/resistance training model, or the mice discontinue running nearly entirely due to the method of load application. Therefore, a novel high-load wheel running model (HLWR) has been developed for mice where external resistance is applied and progressively increased, enabling mice to continue running with much higher loads than previously utilized. Preliminary results from this novel HLWR model suggest it provides sufficient stimulus to induce hypertrophic adaptations over the 9 week training protocol. Herein, the specific procedures to execute this simple yet inexpensive progressive resistance-based exercise training model in mice are described.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
ALOHA完成签到,获得积分10
1秒前
传奇3应助fgjkl采纳,获得10
1秒前
娃娃跑乡发布了新的文献求助10
1秒前
乐乐应助锤锤采纳,获得10
1秒前
1秒前
zjkzh完成签到,获得积分10
2秒前
yyyyyyy发布了新的文献求助10
2秒前
酷波er应助李成哲采纳,获得10
2秒前
Steven完成签到,获得积分10
2秒前
Planta完成签到,获得积分10
2秒前
YLL发布了新的文献求助10
2秒前
酷酷的雪碧完成签到,获得积分10
3秒前
nn发布了新的文献求助10
3秒前
领导范儿应助zhao采纳,获得10
3秒前
3秒前
3秒前
3秒前
doctor杨发布了新的文献求助10
3秒前
3秒前
lhmily发布了新的文献求助10
4秒前
5秒前
CipherSage应助余其钵采纳,获得10
5秒前
5秒前
5秒前
NexusExplorer应助秋实采纳,获得10
5秒前
5秒前
6秒前
传奇3应助BTim采纳,获得10
6秒前
xixi发布了新的文献求助10
6秒前
王兵完成签到,获得积分20
7秒前
7秒前
7秒前
小羽完成签到,获得积分10
7秒前
7秒前
PhDL1发布了新的文献求助10
9秒前
9秒前
Winky发布了新的文献求助20
10秒前
10秒前
Liar发布了新的文献求助10
10秒前
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6017040
求助须知:如何正确求助?哪些是违规求助? 7600720
关于积分的说明 16154591
捐赠科研通 5164894
什么是DOI,文献DOI怎么找? 2764769
邀请新用户注册赠送积分活动 1745863
关于科研通互助平台的介绍 1635068