Biomarkers Associated With Future Severe Liver Disease in Children With Alpha-1-Antitrypsin Deficiency

Jeffrey H Teckman1, Paula Buchanan2, Keith Steven Blomenkamp1

  • 1Department of Pediatrics and Biochemistry and Molecular Biology, St. Louis University School of Medicine, Cardinal Glennon Children's Hospital, St. Louis, Missouri.

Gastro Hep Advances
|September 16, 2024
PubMed

Insights

High Z polymer levels and gamma-glutamyl transferase (GGT) in early childhood predict severe liver disease in alpha-1-antitrypsin deficiency (AATD). This finding aids in identifying at-risk children for clinical trials.

Area of Science:

  • Pediatric Hepatology
  • Genetic Liver Diseases
  • Biomarker Discovery

Background:

  • Alpha-1-antitrypsin deficiency (AATD) causes variable liver disease in children, from asymptomatic to severe portal hypertension.
  • Liver injury in AATD is linked to mutant Z alpha-1-antitrypsin (AAT) protein accumulation and polymerization within hepatocytes.
  • The significance of circulating Z polymer in AATD patients remains unclear.

Purpose of the Study:

  • To identify predictive biomarkers for severe liver disease in pediatric AATD.
  • To analyze the relationship between Z polymer levels and clinical outcomes in children with AATD.

Main Methods:

  • Analysis of prospective data and serum samples from 251 pediatric AATD subjects (2007-2015).
  • Assessment of Z AAT polymer levels, total AAT, and gamma-glutamyl transferase (GGT) in relation to liver disease outcomes.
  • Development of a predictive model for clinically evident portal hypertension (CEPH).

Main Results:

  • Higher Z AAT polymer levels correlated with existing CEPH (P = .01).
  • In infants, elevated polymer levels predicted future CEPH, while total AAT levels did not.
  • High early-life GGT was significantly associated with future CEPH.
  • A predictive model combining GGT and polymer levels achieved an AUC of 0.83 (P = .019).

Conclusions:

  • Elevated circulating Z polymer and early-life GGT are associated with future severe liver disease (CEPH) in pediatric AATD.
  • Predictive cutoffs for these biomarkers can aid in designing future clinical trials for AATD.
  • This research offers valuable insights into early risk stratification for AATD-related liver complications.
Abstract