Intermuscular adipose tissue-free skeletal muscle mass: Estimation by dual-energy X-ray absorptiometry in adults

Jaehee Kim, Stanley Heshka, Dympna Gallagher, Donald P. Kotler, Laurel Mayer, Jeanine Albu, Wei Shen, Pamela U. Freda, Steven B. Heymsfield

Research output: Contribution to journalArticlepeer-review

146 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)655-660
Number of pages6
JournalJournal of Applied Physiology
Volume97
Issue number2
DOIs
StatePublished - Aug 2004
Externally publishedYes

Keywords

  • Acromegaly
  • Anorexia nervosa
  • Body composition
  • Magnetic resonance imaging

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