Science bulletinAug 18, 2026

A mRNA vaccine that reduces immune overreaction eases brain inflammation and nerve damage in an autoimmune disease model

mRNA Technology Weekly Brief ↗PubMed ↗DOI ↗

Updated Aug 19, 2026

Abstract

LiH-LNPs alleviated inflammatory infiltration and demyelination in experimental autoimmune encephalomyelitis (EAE).

The mRNA-lipid nanoparticle vaccine encodes a fusion of epitopes from three myelin antigens associated with multiple sclerosis.
LiH-LNPs reduced the number and activity of inflammatory myeloid cells and activated microglia in the spinal cord.
The treatment induced apoptosis of encephalitogenic T cells while increasing the abundance and activity of regulatory T (Treg) cells.
These changes suggest a shift in the spinal cord microenvironment towards inflammation resolution.

Simplified

Multiple sclerosis (MS) is an autoimmune demyelinating disease of the central nervous system (CNS). Current non-specific immunosuppressive therapies carry risks of infection and malignancy. Antigen-specific tolerance induction presents a promising alternative. Here, we developed a messenger RNA-lipid nanoparticle (mRNA-LNP) vaccine (LiH-LNPs) encoding a tandem fusion of epitopes from three MS-associated myelin antigens. LiH-LNPs alleviated inflammatory infiltration and demyelination in experimental autoimmune encephalomyelitis (EAE). Single-cell RNA sequencing revealed that LiH-LNPs reshaped the spinal cord microenvironment toward inflammation resolution by reducing the abundance and inflammatory activity of infiltrating myeloid cells and activated microglia, inducing apoptosis of encephalitogenic T cells while increasing regulatory T (Treg) cell abundance and suppressive activity. These findings provide mechanistic insights into antigen-specific immunotherapy for MS and highlight the potential application of mRNA vaccine-based antigen-specific therapy for autoimmune diseases.

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A mRNA vaccine that reduces immune overreaction eases brain inflammation and nerve damage in an autoimmune disease model

Abstract

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