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1 Obesity Research Center, St. Luke's-Roosevelt Hospital, College of Physicians and Surgeons, Columbia University, New York, NY, USA
2 Gastrointestinal Division, St. Luke's-Roosevelt Hospital, College of Physicians and Surgeons, Columbia University, New York, NY, USA
3 Department of Clinical Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA
4 Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, NY, USA
* To whom correspondence should be addressed. E-mail: sbh2{at}columbia.edu.
Skeletal muscle (SM) is a large and physiologically important compartment. Adipose tissue is found interspersed between and within SM groups and is referred to as intermuscular adipose tissue (IMAT). The study objective was to develop prediction models linking appendicular lean soft tissue (ALST) estimates by DXA with whole-body IMAT-free SM quantified by magnetic resonance imaging (MRI). ALST and total-body IMAT-free SM were evaluated in 270 healthy adults (BMI < 35 kg/m2). The SM prediction models were then validated by the leave-one-out method and by application in a new group of subjects varying in SM mass (anorexia nervosa [AN], n=23; recreational athletes, n=16; patients with acromegaly, n=7). ALST alone was highly correlated with whole-body IMAT-free SM (model 1: R2 = 0.96, SEE 1.46 kg, P < 0.001); age (model 2: R2 = 0.97, SEE 1.38 kg, P < 0.001), and sex and race (model 3: R2 = 0.97, SEE 1.06 kg, both P < 0.001) added significantly to the prediction models. All 3 models validated in the athletes and patients with acromegaly but significantly (P < 0.01-0.001) over-predicted SM in the AN group as a whole. However, model 1 validated in AN patients with BMIs in the model development group range (n=11; BMI >16 kg/m2) but not in those with BMI <16 kg/m2 (n=12). The DXA-based models are accurate for predicting IMAT-free SM in selected populations and thus provide a new opportunity for quantifying SM in physiological and epidemiological investigations.
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