Infantile neuroaxonal dystrophy and PLA2G6-associated neurodegeneration: An update for the diagnosis

Alessandro Iodice1, Carlotta Spagnoli1, Grazia Gabriella Salerno1

  • 1Child Neurology Unit, Arcispedale Santa Maria Nuova Hospital - IRCCS, Reggio Emilia, Italy.

Brain & Development
|November 26, 2016
PubMed

Insights

Infantile neuroaxonal dystrophy (INAD) is a rare genetic disorder caused by PLA2G6 gene mutations. Early recognition of subtle signs aids diagnosis of this progressive neurodegenerative condition in children.

Area of Science:

  • Neuroscience
  • Genetics
  • Pediatric Neurology

Background:

  • Infantile neuroaxonal dystrophy (INAD) is a rare, severe neurodegenerative disorder presenting in infancy.
  • It is characterized by rapid motor and cognitive decline, hypotonia, and progressing spasticity.
  • Recessive mutations in the PLA2G6 gene are the primary cause, encompassing a spectrum of related neurodegenerative conditions.

Purpose of the Study:

  • To review current clinical and neuroradiological findings for infantile neuroaxonal dystrophy.
  • To facilitate differential diagnosis of INAD from other pediatric neurodegenerative disorders.
  • To highlight the diagnostic challenges posed by phenotypic heterogeneity and limited genotype-phenotype correlations.

Main Methods:

  • Review of recent clinical data.
  • Analysis of neuroradiological information.
  • Comparative analysis with other pediatric neurodegenerative conditions.

Main Results:

  • PLA2G6 gene mutations are linked to INAD and related disorders like Karak syndrome.
  • The phenotypic spectrum of PLA2G6-associated neurodegeneration is broad and evolving.
  • Overlapping clinical features and heterogeneity complicate straightforward diagnosis.

Conclusions:

  • Accurate diagnosis of INAD is challenging due to overlapping symptoms and genetic complexity.
  • Understanding subtle clinical and radiological signs is crucial for timely diagnosis and genetic testing.
  • Further research is needed to refine genotype-phenotype correlations and improve diagnostic strategies.

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