Biomarkers of Ectopic Fat Deposition: The Next Frontier in Serum Lipidomics.

CONTEXT Strong evidence suggests that ectopic fat rather than fat mass per se drives risk for type 2 diabetes. Nonetheless, biomarkers of ectopic fat have gone unexplored. OBJECTIVE To determine the utility of serum lipidomics to predict ectopic lipid deposition. DESIGN Cross-sectional. SETTING The Clinical Translational Research Center at the University of Colorado Anschutz Medical Campus. PARTICIPANTS Endurance-trained athletes (n = 15, 41 ± 0.9 y old; body mass index 24 ± 0.6 kg/m(2)) and obese people with or without type 2 diabetes (n = 29, 42 ± 1.4 y old; body mass index 32 ± 2.5 kg/m(2)). INTERVENTION Blood sampling and skeletal muscle biopsy. MAIN OUTCOME MEASURES Multivariable models determined the ability of serum lipids to predict intramuscular (im) lipid accumulation of triacylglycerol (TAG), diacylglycerol (DAG), and ceramide (liquid chromatography tandem mass spectroscopy). RESULTS Among people with obesity, serum ganglioside C22:0 and lactosylceramide C14:0 predicted muscle TAG (overall model R(2) = 0.48), whereas serum DAG C36:1 and free fatty acid (FFA) C18:4 were strong predictors of muscle DAG (overall model R(2) = 0.77), as were serum TAG C58:5, FFA C14:2 and C14:3, phosphotidylcholine C38:1, and cholesterol ester C24:1 to predict muscle ceramide (overall model R(2) = 0.85). Among endurance-trained athletes, serum FFA C14:1 and sphingosine were significant predictors of muscle TAG (overall model R(2) = 0.81), whereas no models could predict intramuscular DAG or ceramide in this group. CONCLUSIONS Different serum lipids predict intramuscular TAG accumulation in obese people vs athletes. The ability of serum lipidomics to predict intramuscular DAG and ceramide in insulin-resistant humans may prove a new biomarker to determine risk for diabetes.

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