Autoantigen Tetramer Silences Autoreactive B Cell Populations.
Matthew A ChristopherStephanie N JohnsonJ Daniel GriffinCory J BerklandPublished in: Molecular pharmaceutics (2020)
Many autoimmune therapies focus on immune suppression to reduce symptom severity and halt disease progression; however, currently approved treatments lack specificity for the autoantigen and rely on more global immune suppression. Multivalent antigen arrays can disarm pathogenic autoimmune B cell populations that specifically recognize the antigen of interest via their B cell receptor (BCR). Disarmament may be achieved by BCR engagement, cross-linking, and sustained receptor occupancy as a result of multivalent, high avidity BCR binding. To engage and explore this mechanism, a tetramer display of the encephalogenic proteolipid peptide (PLP139-151), referred to as 4-arm PLP139-151, was synthesized by copper-catalyzed azide-alkyne cycloaddition chemistry. Subcutaneous administration of 4-arm PLP139-151 completely ameliorated symptoms of paralysis in a mouse model of multiple sclerosis known as experimental autoimmune encephalomyelitis. Competitive binding of 4-arm PLP139-151 to PLP139-151-specific IgG in the mouse serum demonstrated the enhanced avidity associated with the multivalent array compared to the free peptide. Furthermore, key PLP139-151-reactive B cells were depleted following 4-arm PLP139-151 treatment, resulting in significant reduction of proinflammatory cytokines. Together, these data demonstrate the potential of 4-arm PLP139-151 to silence autoreactive B cell populations and limit the downstream activation of effector cells.
Keyphrases
- multiple sclerosis
- acute lymphoblastic leukemia
- mouse model
- tyrosine kinase
- chronic myeloid leukemia
- social media
- cell cycle arrest
- high throughput
- electronic health record
- oxidative stress
- white matter
- machine learning
- dendritic cells
- mass spectrometry
- genetic diversity
- combination therapy
- replacement therapy
- pi k akt
- smoking cessation
- drug administration
- data analysis
- drug discovery
- patient reported