Muscle Fatigability Analysis
Muscle Fatigability Analysis - Related Videos
14:02
Ex Vivo Assessment of Contractility, Fatigability and Alternans in Isolated Skeletal Muscles
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Cited by 53 •
2012
We describe a method to directly measure muscle force, muscle power, contractile kinetics and fatigability of isolated skeletal muscles in an in vitro system using field stimulation. Valuable information on Ca2+ handling properties and contractile machinery of the muscle can be obtained using different stimulating protocols.
08:42
Myo-mechanical Analysis of Isolated Skeletal Muscle
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Cited by 25 •
2011
To assess the in vivo effects of therapeutic interventions for muscle disease, methods are needed to quantitate force generation and fatigability in treated muscle. We detail an approach to evaluating myo-mechanical properties in explanted mouse hindlimb muscle. This analysis provides a robust approach to quantitating the effects of genetic modification on muscle function, as well as comparison of therapies in mouse models of muscle disease.
10:27
Do's and Don'ts in the Preparation of Muscle Cryosections for Histological Analysis
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Cited by 44 •
2015
Here we demonstrate the most efficient methods for freezing, embedding, cryosectioning, and staining of muscle biopsies to avoid freezing artifacts.
06:12
Dissection of the Transversus Abdominis Muscle for Whole-mount Neuromuscular Junction Analysis
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Cited by 23 •
2014
In this video we demonstrate a protocol for dissection of the transversus abdominis muscle of the mouse and use immunofluorescence and microscopy to visualize neuromuscular junctions.
05:57
A Rapid Automated Protocol for Muscle Fiber Population Analysis in Rat Muscle Cross Sections Using Myosin Heavy Chain Immunohistochemistry
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Cited by 13 •
2017
Here, we present a protocol for rapid muscle fiber analyses, which allows improved staining quality, and thereby automatic acquisition and quantification of fiber populations using the freely available software ImageJ.
FAQs
The observed decline depends on energy demand, motor-unit activation, metabolite accumulation, and the testing conditions. Workload, contraction type, stimulation, and recovery conditions can each influence how quickly functional output changes. Controlling these variables helps researchers distinguish differences in muscle performance from differences caused by the experimental design, improving comparisons between organisms, disease models, or treatment groups.
Motor-unit activation affects how muscle force is produced during repeated or sustained activity, while metabolite accumulation is associated with the changing internal conditions that accompany energy demand. Together, these factors help explain why force or power may fall over time. Examining them within a controlled analysis connects the measured performance decline to underlying neuromuscular and metabolic processes.
Recovery rate shows how muscle performance changes after the demanding activity ends, adding information that a single fatigue measurement cannot provide. A study can compare the initial output, the decline during activity, and the return toward previous performance. This combined profile helps characterize muscle function more completely and can reveal differences related to aging, injury, disease models, or therapy.
Researchers first establish the functional output to be tracked, such as force or power, then apply sustained or repeated activity under defined conditions. They compare output over time while controlling workload, contraction type, stimulation, and recovery. Finally, they quantify measures such as peak force, endurance time, and recovery rate to describe the muscle’s response and support comparisons across experimental groups.
Peak force indicates the muscle’s highest measured output, whereas endurance time describes how long it maintains the required performance under the test conditions. Recovery rate captures the subsequent change after activity. Considering these measures together is more informative than relying on one value, because they distinguish starting capacity, performance during challenge, and post-activity restoration.
This approach supports investigations of neuromuscular physiology, exercise adaptation, aging, injury, and disease models. It can also evaluate therapies intended to preserve or restore muscle performance. By comparing functional output and recovery under controlled conditions, researchers can identify changes in muscle function and assess whether an intervention is associated with improved endurance, force maintenance, or recovery.