Advances in pediatric non-alcoholic fatty liver disease: From genetics to lipidomics

Simona Riccio1, Rosa Melone1, Caterina Vitulano1

  • 1Department of Woman, Child, General and Specialized Surgery, University of Campania Luigi Vanvitelli, Naples 80138, Italy.

Insights

Non-alcoholic fatty liver disease (NAFLD) in children is linked to obesity and cardiometabolic risk. Genetics and gut microbiota play roles, with emerging omics markers offering new diagnostic and treatment insights.

Area of Science:

  • Pediatric Gastroenterology and Hepatology
  • Genetics and Genomics
  • Metabolomics and Systems Biology

Background:

  • Non-alcoholic fatty liver disease (NAFLD) is a growing global health issue in children, associated with significant cardiometabolic risks.
  • Established genetic factors like PNPLA3, TM6SF2, GCKR, MBOAT7-TMC4, and HSD17B13 variants contribute to NAFLD.
  • The gut microbiota and the "multiple hits" theory are increasingly recognized in NAFLD pathogenesis.

Purpose of the Study:

  • To provide a comprehensive overview of childhood NAFLD pathophysiology.
  • To explore both traditional genetic factors and novel omics determinants in NAFLD development.
  • To highlight the potential of omics markers for NAFLD diagnosis and treatment.

Main Methods:

  • Review of existing literature on NAFLD genetics and pathophysiology.
  • Analysis of the role of gut microbiota in NAFLD.
  • Exploration of various omics branches (metabolomics, lipidomics, transcriptomics, epigenomics, proteomics, glycomics) in NAFLD.

Main Results:

  • Genetic variants, particularly PNPLA3, are key players in NAFLD.
  • Gut microbiota composition significantly influences NAFLD development.
  • Omics technologies offer novel insights into NAFLD mechanisms and biomarkers.

Conclusions:

  • Childhood NAFLD is multifactorial, involving genetics, environment, and gut microbiome.
  • Omics approaches are revolutionizing the understanding and potential management of pediatric NAFLD.
  • Future research should focus on integrating omics data for personalized NAFLD diagnosis and therapy.