[Practice-relevant autoimmune diseases of the central nervous system in pediatrics: early diagnosis and adequate

Astrid Blaschek1, Annikki Bertolini2, Geogia Koukou2

  • 1Abteilung Pädiatrische Neurologie, Entwicklungsneurologie und Sozialpädiatrie, Dr. von Haunersches Kinderspital, Ludwig-Maximilians-Universität München, München, Deutschland.

Der Nervenarzt
|November 3, 2021
PubMed

Insights

Pediatric autoimmune central nervous system diseases, including multiple sclerosis (MS), are increasingly understood. New research details autoimmune encephalitis and MOG antibody-associated diseases (MOGAD) in children.

Area of Science:

  • Neuroimmunology
  • Pediatric Neurology
  • Autoimmune Diseases

Background:

  • Pediatric autoimmune central nervous system (CNS) diseases are gaining research attention.
  • Advances in understanding pediatric multiple sclerosis (MS) have improved clinical insights and treatment.
  • Novel autoantibodies targeting neural and myelin antigens have been identified.

Purpose of the Study:

  • To review recent advancements in pediatric multiple sclerosis (MS).
  • To compare pediatric MS with adult forms.
  • To describe key autoimmune encephalitides (NMDA-R, MOG), MOGAD, and their diagnosis/treatment in children.

Main Methods:

  • Literature review of pediatric autoimmune CNS diseases.
  • Comparative analysis of pediatric and adult MS.
  • Summarization of diagnostic and therapeutic strategies for autoimmune encephalitis and MOGAD.

Main Results:

  • Enhanced understanding of pediatric MS clinical features and therapies.
  • Detailed description of N-methyl D-aspartate receptor (NMDA-R) and myelin oligodendrocyte glycoprotein (MOG) encephalitis in children.
  • Elucidation of the clinical spectrum of MOG antibody-associated diseases (MOGAD).

Conclusions:

  • Significant progress has been made in pediatric neuroimmunology.
  • Distinguishing features of pediatric MS from adult MS are highlighted.
  • Diagnostic and treatment guidelines for pediatric autoimmune encephalitis and MOGAD are presented.
Abstract

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