Validation of a screening panel for pediatric metabolic dysfunction-associated steatotic liver disease using metabolomics.

ABSTRACT:

Background

Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as NAFLD, is the most common liver disease in children. Liver biopsy remains the gold standard for diagnosis, although more efficient screening methods are needed. We previously developed a novel NAFLD screening panel in youth using machine learning applied to high-resolution metabolomics and clinical phenotype data. Our objective was to validate this panel in a separate cohort, which consisted of a combined cross-sectional sample of 161 children with stored frozen samples (75% male, 12.8±2.6 years of age, body mass index 31.0±7.0 kg/m2, 81% with MASLD, 58% Hispanic race/ethnicity).

Methods

Clinical data were collected from all children, and high-resolution metabolomics was performed

SUBMITTER: Huneault HE 

PROVIDER: S-EPMC10898657 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature