SpeS: A Novel Superantigen and Its Potential as a Vaccine Adjuvant against Strangles.
C Coral Dominguez-MedinaNicola L RashSylvain RobillardCarl RobinsonAndroulla EfstratiouKaren BroughtonJulian ParkhillMatthew T G HoldenMaría Rocío López-ÁlvarezRomain PaillotAndrew S WallerPublished in: International journal of molecular sciences (2020)
Bacterial superantigens (sAgs) are powerful activators of the immune response that trigger unspecific T cell responses accompanied by the release of proinflammatory cytokines. Streptococcus equi (S. equi) and Streptococcus zooepidemicus (S. zooepidemicus) produce sAgs that play an important role in their ability to cause disease. Strangles, caused by S. equi, is one of the most common infectious diseases of horses worldwide. Here, we report the identification of a new sAg of S. zooepidemicus, SpeS, and show that mutation of the putative T cell receptor (TCR)-binding motif (YAY to IAY) abrogated TCR-binding, whilst maintaining interaction with major histocompatibility complex (MHC) class II molecules. The fusion of SpeS and SpeSY39I to six S. equi surface proteins using two different peptide linkers was conducted to determine if MHC class II-binding properties were maintained. Proliferation assays, qPCR and flow cytometry analysis showed that SpeSY39I and its fusion proteins induced less mitogenic activity and interferon gamma expression when compared to SpeS, whilst retaining Antigen-Presenting Cell (APC)-binding properties. Our data suggest that SpeSY39I-surface protein fusions could be used to direct vaccine antigens towards antigen-presenting cells in vivo with the potential to enhance antigen presentation and improve immune responses.
Keyphrases
- immune response
- binding protein
- flow cytometry
- dendritic cells
- infectious diseases
- dna binding
- regulatory t cells
- biofilm formation
- induced apoptosis
- poor prognosis
- early stage
- candida albicans
- single cell
- mesenchymal stem cells
- escherichia coli
- signaling pathway
- stem cells
- big data
- high glucose
- high throughput
- cell proliferation
- risk assessment
- inflammatory response
- artificial intelligence
- drug induced
- data analysis
- deep learning
- small molecule
- bone marrow