Glutamate-Serine-Glycine Index: A Novel Potential Biomarker in Pediatric Non-Alcoholic Fatty Liver Disease.
Simone LeonettiRaimund I HerzogSonia CaprioNicola SantoroDomenico TricòPublished in: Children (Basel, Switzerland) (2020)
Preliminary evidence suggests that the glutamate-serine-glycine (GSG) index, which combines three amino acids involved in glutathione synthesis, may be used as a potential biomarker of non-alcoholic fatty liver disease (NAFLD). We investigated whether the GSG index is associated with NAFLD in youth, independent of other risk factors. Intrahepatic fat content (HFF%) and abdominal fat distribution were measured by magnetic resonance imaging (MRI) in a multiethnic cohort of obese adolescents, including Caucasians, African Americans, and Hispanics. NAFLD was defined as HFF% ≥ 5.5%. Plasma amino acids were measured by mass spectrometry. The GSG index was calculated as glutamate/(serine + glycine). The GSG index was higher in NAFLD patients (p = 0.03) and positively correlated with HFF% (r = 0.26, p = 0.02), alanine aminotransferase (r = 0.39, p = 0.0006), and aspartate aminotransferase (r = 0.26, p = 0.03). Adolescents with a high GSG index had a twofold higher prevalence of NAFLD than those with a low GSG index, despite similar adiposity, abdominal fat distribution, and liver insulin resistance. NAFLD prevalence remained significantly different between groups after adjustment for age, sex, race/ethnicity, and body mass index (OR 3.07, 95% confidence interval 1.09-8.61, p = 0.03). This study demonstrates the ability of the GSG index to detect NAFLD in at-risk pediatric populations with different genetically determined susceptibilities to intrahepatic fat accumulation, independent of traditional risk factors.
Keyphrases
- risk factors
- adipose tissue
- magnetic resonance imaging
- body mass index
- mass spectrometry
- physical activity
- young adults
- metabolic syndrome
- computed tomography
- contrast enhanced
- mental health
- high fat diet
- skeletal muscle
- weight gain
- polycystic ovary syndrome
- high speed
- gas chromatography
- childhood cancer
- obese patients
- diffusion weighted imaging