Evaluation of Skeletal Muscle Lipid Content by Magnetic Resonance Spectroscopy
Withdrawn before enrolling
Conditions studied: Healthy
In brief
Type 2 diabetes is a growing public health issue and one component of Type 2 diabetes is 'insulin resistance" - the ability of insulin to work less well. The skeletal muscle is one of the largest users of sugar in the body, when the skeletal muscle is "insulin resistant", this contributes to diabetes. There is some evidence that the amount of fat in the skeletal muscle is related to the amount of insulin resistance. We are asking people to participate in a study to look at the amount of fat in muscle and how this fat amount changes with exercise. We hypothesize that heavier people will have higher amounts of fat and deplete this fat more slowly than lean subjects.
Key facts
- Study ID
- NCT00786578
- Run by
- University of Minnesota
- People needed
- 0
- Starts
- 2010-01-01
- Expected to finish
- 2014-01-01
- Last updated by the study team
- 2014-10-24
Who can join
Age: 18 and older, up to 45. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- Age range will be from age 18 to 45. We will be limiting the upper age range because increased age is associated with sarcopenia and alteration of fiber type.
- We will define the lean trained group by a BMI of < 24 kg/m2. We will define the overweight group as BMI > 26 25 kg/m2.
- The subjects should be participating in regular running exercise (> 30 min/day, ≥ 5 days/week).
- Weight must be stable [+/- 5 pounds] for at least the three months prior to the study for all participants.
You may not qualify if…
- The subjects must not be on medications that may affect lipid levels, specifically lipid lowering agents, birth control pills, or diuretics.
- The subjects should not be on a high fat diet (> 45% fat) as measured by a screening questionnaire.
- The subject must not have any contraindications to magnetic resonance imaging.
Where it is running
- Univeresity of Minnesota — Minneapolis, Minnesota, United States
Full record on ClinicalTrials.gov
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