Cerebrospinal Fluid Neurotransmitters, Pterins, Folates and Amino Acids in Paediatric Onset Epilepsies: A Tertiary

Mario Mastrangelo1,2, Claudia Carducci3, Filippo Manti2,4

  • 1Department of Woman/Child Health and Urological Sciences, Sapienza University of Rome, 00185 Rome, Italy.

PubMed

Insights

Cerebrospinal fluid (CSF) testing in pediatric epilepsy reveals metabolite differences linked to seizure severity, comorbidities, and treatments. Specific biomarkers like homovanillic acid (HVA) correlate with seizure frequency, aiding clinical insights.

Area of Science:

  • Neurology
  • Biochemistry
  • Pediatrics

Background:

  • Paediatric onset epilepsies present diagnostic challenges.
  • Cerebrospinal fluid (CSF) analysis offers insights into neurological disorders.
  • Biomarkers like biogenic amines, pterins, amino acids, and folates are potential diagnostic tools.

Purpose of the Study:

  • To evaluate the clinical utility of CSF testing for specific metabolites in paediatric epilepsy.
  • To identify correlations between metabolite levels and epilepsy characteristics.
  • To assess the diagnostic yield of CSF analysis for metabolic disorders.

Main Methods:

  • Retrospective analysis of 123 paediatric epilepsy patients.
  • Biochemical phenotyping via CSF measurement of neurotransmitters, pterins, amino acids, and folates (2009-2022).
  • Correlation of metabolite levels with seizure frequency, comorbidities, and treatment.

Main Results:

  • Diagnostic yield for primary neurotransmitter disorders was 1.68%.
  • Elevated CSF homovanillic acid (HVA) and HVA/5-hydroxyindolacetic acid (5HIAA) ratio correlated with higher seizure frequency.
  • Lower 3-O-methyldopa (3-OMD) linked to neurodevelopmental disorders; altered pterins/folates associated with movement disorders.
  • Lower CSF glutamine in polytherapy patients; altered amino acids in patients with status epilepticus history.

Conclusions:

  • CSF metabolite profiling reveals associations with epilepsy severity and comorbidities.
  • Specific metabolite patterns may indicate underlying metabolic disturbances or disease progression.
  • CSF analysis provides valuable clinical information beyond traditional diagnostic methods.

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