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Electrical Impedance Myography in an Animal Model

Electrical Impedance Myography in an Animal Model
动物模型中的电阻抗肌电图
批准号:
7420982
负责人:
Seward B. Rutkove
金额:
$33.47万
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-08-01 至 2012-04-30

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中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Electrical impedance myography (EIM) is a new, safe, non-invasive, and rapidly applied technique for muscle assessment that we have been developing in our laboratory for the past several years. In EIM, low- intensity alternating current of varying frequencies is passed through muscle tissue and the consequent surface voltage patterns assessed. The technique holds the promise of assisting with the diagnosis and assessment of many conditions that produce muscle atrophy and weakness, including muscular dystrophies, neurogenic illnesses (such as amyotrophic lateral sclerosis), inflammatory myopathies, disuse states, and muscle wasting of the elderly. Our current work in normal human subjects and those with a variety of neuromuscular disorders is confirming the potential value of this methodology. However, many questions remain regarding the nature of the measurements and their specific relationship with muscle pathology. In this proposal, we address these questions by performing detailed EIM measurements in rat models of neuromuscular disease and obtaining quantitative histomorphometry on the muscle tissue. Our first aim will focus on further refining the technique for use in rats, confirming its reproducibility and identifying changes in EIM parameters with normal rat growth and aging. The second aim will study a neurogenic disease model by following changes in muscle pathology and EIM measurements with degeneration and recovery from a nerve crush injury. The third aim will evaluate the correlation between EIM measures in a model of inflammatory myositis. The fourth aim will study muscle pathology and impedance change due to disuse using a hind limb suspension model. With these data, our current network models of underlying EIM theory will be further refined with the aim of being able to predict accurately muscle pathology from the EIM data. Additional outcomes of this work include: 1. learning how EIM parameters change with growth and aging; 2. improving our ability to work with small muscles such that EIM can be used more effectively in children with muscular dystrophy and other disorders, and 3. to prepare the way for the use of EIM in screening of drugs and therapies in animals models of neuromuscular disease.
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