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Diagnostic accuracy of serum alanine aminotransferase as biomarker for nonalcoholic fatty liver disease and insulin resistance in healthy subjects, using 3T MR spectroscopy

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MEDICINE
卷 96, 期 17, 页码 -

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LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/MD.0000000000006770

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insulin resistance; magnetic resonance spectroscopy; NAFLD; sensitivity and specificity

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Recognition of the close relationship of nonalcoholic fatty liver disease (NAFLD) with diabetes mellitus 2, obesity, metabolic syndrome, and cardiovascular disease has stimulated growing interest in NAFLD as a public health problem. Serum alanine aminotransferase (ALT) has been proposed as a marker of NAFLD, but levels are within the range currently considered normal in a large proportion of NAFLD subjects. The aim of the study was to determine the diagnostic accuracy of serum ALT for identifying individuals with NAFLD, using 3-Tesla (T) magnetic resonance spectroscopy (H-1-MRS). A cross-sectional study was conducted in 129 healthy subjects. Liver triglyceride content was quantified by H-1-MRS. NAFLD was defined as liver triglyceride content greater than 5.56%. Liver triglyceride content was > 5.56% in 79 participants (NAFLD) and lower in the remaining 50 (normal). Serum ALT levels correlated positively with liver triglyceride content (r=0.58, P<.001), Homeostatic Model Assessment for Insulin Resistance (r=0.32, P<.01), and fasting insulin (r=0.31, P<.01), and inversely correlated with adiponectin (r=0.35, P<.01) and high-density lipoprotein cholesterol (r=0.32, P<.01). Regression analysis showed that serum ALT was the best predictor of NAFLD (P<.01). Optimal serum ALT cut-off to predict NAFLD was 23IU/L (area under receiver-operating characteristic curve: 0.93; sensitivity: 0.94; specificity: 0.72). This study shows that serum ALT is a sensitive and accurate biomarker of NAFLD if the normal ALT value is revised and established at a lower level. An ALT threshold of 23IU/L identified 94% of individuals with NAFLD in the present series, using 3-T H-1-MRS for liver triglyceride quantification.

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