Mitochondrial DNA haplogroups and mutations in children with acquired central demyelination

S Venkateswaran1, K Zheng, M Sacchetti

  • 1Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02215, USA.

Neurology
|February 4, 2011
PubMed

Insights

Mitochondrial DNA variants are linked to pediatric acquired demyelinating syndromes (PD-ADS) and an increased risk of developing multiple sclerosis (MS) in children. Further research is needed to confirm these findings.

Area of Science:

  • Genetics
  • Neurology
  • Immunology

Background:

  • Pediatric acquired demyelinating syndromes (PD-ADS) are CNS disorders with varied outcomes, including progression to multiple sclerosis (MS).
  • Mitochondrial DNA (mtDNA) variants have been implicated in various autoimmune and neurological conditions, including MS in adults.

Purpose of the Study:

  • To investigate the association between specific mitochondrial DNA (mtDNA) variants and the risk of PD-ADS in children.
  • To explore the relationship between these mtDNA variants and the subsequent diagnosis of multiple sclerosis (MS) in pediatric patients.

Main Methods:

  • An exploratory analysis was conducted on 213 children with PD-ADS and 166 healthy sibling controls.
  • Genotyping of 31 single nucleotide polymorphisms (SNPs) was performed, focusing on haplogroup-defining SNPs and those previously linked to MS.

Main Results:

  • No primary Leber hereditary optic neuropathy (LHON) or other known pathogenic mtDNA mutations were found.
  • The haplogroup J-associated variant (13708A) was more frequent in PD-ADS patients (13.0%) versus controls (6.2%), with an odds ratio (OR) of 2.27.
  • Haplogroup M was associated with an earlier age of PD-ADS onset. Haplogroup H was linked to an increased risk of MS diagnosis (OR 2.60).

Conclusions:

  • Mitochondrial DNA variants show a potential association with the risk of developing PD-ADS and progressing to MS in children.
  • Replication of these findings in an independent cohort of pediatric patients is essential to validate the observed associations.
Abstract