Essential fatty acid profiling for routine nutritional assessment unmasks adrenoleukodystrophy in an infant with

R Bonilla Guerrero1, L A Wolfe, N Payne

  • 1Biochemical Genetics Laboratory, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.

Insights

A 16-month-old boy with isovaleric acidaemia (IVA) was found to have co-inherited X-linked adrenoleukodystrophy (XALD). Early identification of these co-occurring metabolic disorders is crucial for timely intervention.

Area of Science:

  • Biochemistry
  • Genetics
  • Metabolic Disorders

Background:

  • Isovaleric acidaemia (IVA) is an autosomal recessive metabolic disorder caused by isovaleryl-CoA dehydrogenase deficiency.
  • Newborn screening programs often detect IVA through elevated C(5)-carnitine levels.
  • X-linked adrenoleukodystrophy (XALD) is a peroxisomal disorder affecting the adrenal glands and white matter.

Observation:

  • A 16-month-old asymptomatic male diagnosed with IVA via newborn screening presented with elevated C(26:0) fatty acids during nutritional follow-up.
  • Elevated C(26:0) levels are indicative of peroxisomal dysfunction, prompting further investigation.
  • Metabolic profiling and genetic analysis confirmed the co-occurrence of XALD in the patient.

Findings:

  • Enzyme-confirmed isovaleric acidaemia (IVA) and molecularly confirmed X-linked adrenoleukodystrophy (XALD) were identified in the same patient.
  • The patient was asymptomatic at 16 months of age, highlighting the potential for early, pre-symptomatic diagnosis of co-inherited disorders.
  • Essential fatty acid analysis revealed elevated C(26:0) levels, a marker for peroxisomal dysfunction.

Implications:

  • Simultaneous diagnosis of IVA and XALD has significant implications for treatment strategies, particularly before neurological sequelae manifest.
  • Genetic counseling for the family is critical due to the co-inheritance of these distinct genetic disorders.
  • This case underscores the importance of comprehensive metabolic and genetic evaluations, even in asymptomatic individuals, to identify co-occurring conditions.