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Combining evidence from four immune cell types identifies DNA methylation patterns that implicate functionally

Ewoud Ewing1, Lara Kular1, Sunjay J Fernandes2

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DNA methylation patterns in B cells and monocytes offer new insights into Multiple Sclerosis (MS) pathogenesis and disease progression. This study highlights specific epigenetic changes linked to MS, particularly in B cells, advancing our understanding of this neurological condition.

Keywords:
450 KDNA methylationEPICEpigeneticsImmune cellsMultiple sclerosisRelapsing-remitting multiple sclerosisSecondary progressive multiple sclerosisomicsNPC

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Area of Science:

  • Immunology
  • Epigenetics
  • Neuroscience

Background:

  • Multiple Sclerosis (MS) is a chronic inflammatory neurological disease causing progressive disability.
  • DNA methylation is a key epigenetic mechanism influenced by genes and environment, potentially revealing insights into MS.
  • Understanding MS pathogenesis requires exploring molecular mechanisms like DNA methylation.

Purpose of the Study:

  • To investigate DNA methylation differences across immune cell types in Multiple Sclerosis (MS) patients.
  • To identify specific epigenetic markers associated with MS subtypes and disease progression.
  • To leverage a novel statistical framework for enhanced discovery of methylation changes in MS.

Main Methods:

  • DNA methylation was measured in CD4+ T cells, CD8+ T cells, CD14+ monocytes, and CD19+ B cells from MS patients and healthy controls using Infinium HumanMethylation450 arrays.
  • Validation cohorts of monocytes and whole blood were utilized.
  • A non-parametric combination framework (omicsNPC) was implemented to integrate data from multiple cell types.

Main Results:

  • B cells showed the most significant differentially methylated positions (DMPs) in MS patients, followed by monocytes; T cells had fewer DMPs.
  • The omicsNPC framework identified shared DMPs co-localizing at MS risk loci.
  • Functional analysis revealed that MS-associated methylation changes implicate lymphocyte signaling, T cell activation/migration, myeloid cell functions, metabolism, and neurodegenerative pathways, particularly in SPMS.

Conclusions:

  • The omicsNPC statistical framework effectively combines multi-cell type evidence to identify novel DNA methylation changes in MS.
  • These findings provide new insights into the pathogenesis of MS and its progression.
  • Epigenetic alterations in immune cells, especially B cells and monocytes, are crucial in understanding MS.