TY - JOUR
T1 - Intermuscular adipose tissue-free skeletal muscle mass
T2 - Estimation by dual-energy X-ray absorptiometry in adults
AU - Kim, Jaehee
AU - Heshka, Stanley
AU - Gallagher, Dympna
AU - Kotler, Donald P.
AU - Mayer, Laurel
AU - Albu, Jeanine
AU - Shen, Wei
AU - Freda, Pamela U.
AU - Heymsfield, Steven B.
PY - 2004/8
Y1 - 2004/8
N2 - 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 dual-energy X-ray absorptiometry (DXA) with whole body IMAT-free SM quantified by magnetic resonance imaging. ALST and total-body IMAT-free SM were evaluated in 270 healthy adults [body mass index (BMI) of <35 kg/m 2]. The SM prediction models were then validated by the leave-one-out method and by application in a new group of subjects who varied 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, standard error (SE) = 1.46 kg, P < 0.001]; age (model 2: R2 = 0.97, SE = 1.38 kg, P < 0.001) and sex and race (model 3: R2 = 0.97, SE = 1,06 kg, both P < 0.001) added significantly to the prediction models. All three 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 was validated in AN patients with BMIs in the model-development group range (n = 11; BMI of >16 kg/m2) but not in those with a BMI of <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.
AB - 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 dual-energy X-ray absorptiometry (DXA) with whole body IMAT-free SM quantified by magnetic resonance imaging. ALST and total-body IMAT-free SM were evaluated in 270 healthy adults [body mass index (BMI) of <35 kg/m 2]. The SM prediction models were then validated by the leave-one-out method and by application in a new group of subjects who varied 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, standard error (SE) = 1.46 kg, P < 0.001]; age (model 2: R2 = 0.97, SE = 1.38 kg, P < 0.001) and sex and race (model 3: R2 = 0.97, SE = 1,06 kg, both P < 0.001) added significantly to the prediction models. All three 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 was validated in AN patients with BMIs in the model-development group range (n = 11; BMI of >16 kg/m2) but not in those with a BMI of <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.
KW - Acromegaly
KW - Anorexia nervosa
KW - Body composition
KW - Magnetic resonance imaging
UR - http://www.scopus.com/inward/record.url?scp=3242660754&partnerID=8YFLogxK
U2 - 10.1152/japplphysiol.00260.2004
DO - 10.1152/japplphysiol.00260.2004
M3 - Article
C2 - 15090482
AN - SCOPUS:3242660754
VL - 97
SP - 655
EP - 660
JO - Journal of Applied Physiology
JF - Journal of Applied Physiology
SN - 8750-7587
IS - 2
ER -