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NAT2 Gene rs1041983 is Associated with Anti-Tuberculosis Drug Induced Hepatotoxicity Among Pediatric Tuberculosis in

Achmad Headriawan1, Alvinsyah Adhityo Pramono2, Abdurachman Sukadi1

  • 1Department of Child Health.

The Application of Clinical Genetics
|June 11, 2021
PubMed

Insights

A specific gene variation, rs1041983 in the NAT2 gene, is linked to a higher risk of drug-induced liver damage in children with tuberculosis. This finding aids in predicting and managing adverse drug reactions in pediatric TB patients.

Area of Science:

  • Pharmacogenomics
  • Pediatric Infectious Diseases
  • Hepatology

Background:

  • Pediatric tuberculosis (TB) diagnosis and treatment present global challenges.
  • Antituberculosis drug-induced hepatotoxicity (ADIH) can impede treatment success.
  • The NAT2 gene, encoding a key enzyme for isoniazid metabolism, is implicated in ADIH, particularly in Asian populations due to specific polymorphisms.

Purpose of the Study:

  • To investigate the association between four single nucleotide polymorphisms (SNPs) in the NAT2 gene and ADIH in pediatric TB patients.
  • To identify specific NAT2 gene variants that predict ADIH risk in children undergoing TB treatment.

Main Methods:

  • A case-control study was conducted with 31 pediatric TB patients experiencing ADIH and 31 controls without ADIH.
  • Genomic DNA was analyzed using PCR and sequencing to identify polymorphisms rs1041983, rs1799929, rs1799930, and rs1799931.
  • Statistical analysis was performed using Epi Info Ver. 7 software.

Main Results:

  • The study identified a significant association between SNP rs1041983 and the occurrence of ADIH in pediatric TB patients (OR 2.39, p=0.019).
  • No significant association was found between ADIH and the NAT2 polymorphisms rs1799929 (p=0.133), rs1799930 (p=0.150), or rs1799931 (p=0.659).

Conclusions:

  • The NAT2 gene polymorphism rs1041983 is significantly associated with the occurrence of ADIH in pediatric TB patients.
  • This finding highlights the potential of rs1041983 as a predictive biomarker for ADIH in this population.
Abstract

Keywords:
ADIHNAT2 polymorphismchildren

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