Congenital hyperinsulinism and glycogenosis-like phenotype due to a novel HNF4A mutation

Juraj Stanik1, Martina Skopkova2, Katarina Brennerova3

  • 1First Department of Pediatrics, Medical Faculty of Comenius University and Children Faculty Hospital, Limbova 1, 833 40 Bratislava, Slovakia; DIABGENE Laboratory, Institute of Experimental Endocrinology, Biomedical Research Center SAS, Dubravska cesta 9, 845 05 Bratislava, Slovakia.

Insights

A novel HNF4A gene mutation caused congenital hyperinsulinism (CHI) with a glycogenosis-like phenotype. Genetic testing led to personalized therapy, improving patient outcomes and guiding future treatment for affected family members.

Area of Science:

  • Genetics
  • Pediatrics
  • Endocrinology

Background:

  • Congenital hyperinsulinism (CHI) and glycogen storage disease (glycogenosis) present with infantile hypoglycemia but differ in clinical features and treatment.
  • Differentiating these conditions is crucial for appropriate management.

Observation:

  • A child presented with hyperinsulinemic hypoglycemia, elevated triglycerides, erythrocyte glycogen, and liver abnormalities, mimicking glycogenosis.
  • Whole exome sequencing identified a novel HNF4A gene variant (LRG_483t1: c.427-1G>A) instead of glycogenosis-related mutations.

Findings:

  • The identified HNF4A variant resulted in aberrant splicing and an in-frame deletion (c.429_476del, p.(T144_I159del)).
  • This variant was found in family members, some with prediabetes or diabetes, indicating familial inheritance.
  • Diazoxide therapy improved hypoglycemia in the proband, and sulfonylurea was recommended for adult carriers post-diabetes onset.

Implications:

  • This study identifies a novel HNF4A mutation causing a CHI phenotype with glycogenosis-like features.
  • Genetic testing, particularly HNF4A analysis in specific CHI cases, enables personalized therapeutic strategies.
  • Early genetic diagnosis and tailored treatment significantly benefit patients and families, improving hypoglycemia management and predicting future metabolic risks.
Abstract

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