[Phenotype and genotype analysis of 55 children patients with Wilson's disease]

X Y Zhou1, H X Yin1, C L Wang1

  • 1Department of Gastroenterology, the Affiliated Children's Hospital of Nanjing Medical University, Nanjing 210008, China.

Insights

Wilson's disease (WD) in children is often linked to liver damage and neurological symptoms. The most frequent genetic mutations identified in Chinese children with WD are ATP7B gene mutations c.2333G > T/p.R778L and c.2975C > T/p.P992L.

Area of Science:

  • Genetics
  • Pediatrics
  • Hepatology

Background:

  • Wilson's disease (WD) is a rare genetic disorder of copper metabolism.
  • Mutations in the ATP7B gene are the primary cause of WD.
  • Early diagnosis and understanding genotype-phenotype correlations are crucial for effective management.

Purpose of the Study:

  • To investigate the clinical characteristics and the spectrum of ATP7B gene mutations in pediatric Wilson's disease patients.
  • To identify common ATP7B mutations in a Chinese pediatric cohort.
  • To evaluate the utility of molecular diagnostic techniques for WD.

Main Methods:

  • Retrospective analysis of 55 pediatric WD cases diagnosed between 2012 and 2018.
  • ATP7B gene point mutations detected via direct sequencing after PCR amplification.
  • Multiplex ligation-dependent probe amplification (MLPA) used to detect large deletions or duplications in the ATP7B gene.

Main Results:

  • All 55 children presented with liver damage; 2 also had neurological symptoms.
  • Commonly observed abnormalities included Kayser-Fleischer rings, elevated 24-hour urine copper, and low ceruloplasmin.
  • Identified 35 distinct ATP7B mutations, with c.2333G > T/p.R778L (36.54%) and c.2975C > T/p.P992L (14.42%) being the most prevalent.

Conclusions:

  • ATP7B gene mutations c.2333G > T/p.R778L and c.2975C > T/p.P992L are the most common in Chinese pediatric WD patients.
  • MLPA is recommended for detecting exon deletions in heterozygous ATP7B gene sequencing results.
  • Comprehensive genetic analysis is essential for accurate WD diagnosis and understanding mutation spectrum.

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