Gene mutations in paediatric epilepsies cause NMDA-pathy, and phasic and tonic GABA-pathy

Svetlana Gataullina1,2,3, Thierry Bienvenu4,5, Rima Nabbout6

  • 1Service d' Explorations Fonctionnelles multidisciplinaires Hôpital Antoine Béclère, AP-HP, Clamart, France.

Insights

Pediatric monogenic epilepsies share three core mechanisms: overactive N-methyl-d-aspartate (NMDA) pathways, reduced gamma-aminobutyric acid (GABA) inhibition, and tonic GABA receptor activation. Understanding these pathways aids in diagnosing and treating childhood epilepsy syndromes.

Area of Science:

  • Neuroscience
  • Genetics
  • Pediatric Neurology

Background:

  • Monogenic epilepsies in children are a significant challenge, often linked to specific gene mutations.
  • Understanding the underlying molecular mechanisms is crucial for effective treatment strategies.

Purpose of the Study:

  • To identify and categorize the primary epileptogenic mechanisms in pediatric monogenic epilepsies.
  • To correlate specific electroclinical patterns with distinct molecular pathways.

Main Methods:

  • Reviewed pediatric monogenic epilepsies, excluding brain malformations and inborn errors of metabolism.
  • Analyzed gene function (loss-of-function/gain-of-function), age of gene expression, and epilepsy syndromes.
  • Selected genes with at least five reported patients exhibiting similar epilepsy phenotypes.

Main Results:

  • Identified three shared mechanisms: NMDA-pathies (excess NMDA transmission), phasic GABA-pathies (reduced GABA inhibition), and tonic GABA-pathies (tonic extrasynaptic GABA receptor activation).
  • Linked NMDA-pathies to syndromes like West and Lennox-Gastaut; phasic GABA-pathies to Dravet syndrome; and tonic GABA-pathies to Angelman syndrome.
  • Demonstrated distinct electroclinical patterns associated with each mechanism.

Conclusions:

  • Paediatric monogenic epilepsies can be classified into NMDA-pathies, phasic GABA-pathies, and tonic GABA-pathies based on their underlying mechanisms.
  • This pathophysiological classification offers diagnostic insights and guides the selection of antiepileptic treatments.

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