Sex-Specific Metabolite Biomarkers of NAFLD in Youth: A Prospective Study in the EPOCH Cohort

• Published in: The journal of clinical endocrinology and metabolism 2020-09, Vol.105 (9), p.e3437-e3450
• Main Authors: Perng, Wei, Francis, Ellen C, Smith, Harry A, Carey, John, Wang, Dongqing, Kechris, Katerina M, Dabelea, Dana
• Format: Article
• Language: English
• Subjects: Adolescent; Adult; Age of Onset; Alanine; Alanine transaminase; Amino acids; Aspartate; Aspartate transaminase; Biological markers; Biomarkers; Biomarkers - blood; Biomarkers - metabolism; Body weight; Carbohydrate metabolism; Child; Children; Children & youth; Cohort Studies; Comparative analysis; Development and progression; Fatty liver; Female; Girls; Health aspects; Humans; Insulin; Liver; Liver diseases; Male; Metabolites; Metabolome; Metabolomics; Non-alcoholic Fatty Liver Disease - blood; Non-alcoholic Fatty Liver Disease - diagnosis; Non-alcoholic Fatty Liver Disease - epidemiology; Online Only; Overweight; Physiological aspects; Risk factors; Sex Characteristics; Teenagers; Transaminase; Young Adult; Youth
• ISSN: 0021-972X; 1945-7197
• DOI: 10.1210/clinem/dgaa467

Abstract Context Nonalcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease in developed nations. There are currently no accurate biomarkers of NAFLD risk in youth. Objective Identify sex-specific metabolomics biomarkers of NAFLD in a healthy cohort of youth. Design/Setting This prospective study included 395 participants of the EPOCH cohort in Colorado, who were recruited 2006-2009 (“T1 visit”) and followed for 5 years (“T2 visit”). We entered 767 metabolites measured at T1 into a reduced rank regression model to identify the strongest determinants of hepatic fat fraction (HFF) at T2, separately for boys and girls. We compared the capacity of metabolites versus conventional risk factors (overweight/obesity, insulin, alanine transaminase, aspartate transaminase) to predict NAFLD (HFF ≥5%) and high HFF (fourth vs first quartile) using area under the receiver operating characteristic curve (AUC). Results Prevalence of NAFLD was 7.9% (8.5% of boys, 7.1% of girls). Mean ± SD HFF was 2.5 ± 3.1%. We identified 13 metabolites in girls and 10 metabolites in boys. Metabolites were in lipid, amino acid, and carbohydrate metabolism pathways. At T1, the metabolites outperformed conventional risk factors in prediction of high HFF but not NAFLD. At T2, the metabolites were superior to conventional risk factors as predictors of high HFF (AUC for metabolites vs conventional risk factors for boys: 0.9565 vs 0.8851, P = 0.02; for girls: 0.9450 vs 0.8469, P = 0.02) with similar trends for NAFLD, although the differences were not significant. Conclusions The metabolite profiles identified herein are superior predictors of high HFF when assessed 5 years prior and concurrently in a general-risk setting.