Unveiling a Shield of Hope: A Novel Multiepitope-Based Immunogen for Cross-Serotype Cellular Defense against Dengue Virus.
Nilanshu ManochaDaphné LaubretonXavier RobertJacqueline MarvelVirginie Gueguen-ChaignonPatrice GouetPrashant KumarMadhu KhannaPublished in: Vaccines (2024)
Dengue virus (DENV) infection continues to be a public health challenge, lacking a specific cure. Vaccination remains the primary strategy against dengue; however, existing live-attenuated vaccines display variable efficacy across four serotypes, influenced by host serostatus and age, and predominantly inducing humoral responses. To address this limitation, this study investigates a multiepitope-based immunogen designed to induce robust cellular immunity across all DENV serotypes. The chimeric immunogen integrates H-2 d specific MHC-I binding T-cell epitopes derived from conserved domains within the DENV envelope protein. Immuno-informatics analyses supported its stability, non-allergenic nature, and strong MHC-I binding affinity as an antigen. To assess the immunogenicity of the multiepitope, it was expressed in murine bone-marrow-derived dendritic cells (BMDCs) that were used to prime mice. In this experimental model, simultaneous exposure to T-cell epitopes from all four DENV serotypes initiated distinct IFNγ-CD8 T-cell responses for different serotypes. These results supported the potential of the multiepitope construct as a vaccine candidate. While the optimization of the immunogen design remains a continuous pursuit, this proof-of-concept study provides a starting point for evaluating its protective efficacy against dengue infection in vivo. Moreover, our results support the development of a multiepitope vaccine that could trigger a pan-serotype anti-dengue CD8 response.
Keyphrases
- dengue virus
- zika virus
- dendritic cells
- aedes aegypti
- public health
- immune response
- binding protein
- cell therapy
- regulatory t cells
- transcription factor
- mesenchymal stem cells
- metabolic syndrome
- mass spectrometry
- risk assessment
- machine learning
- climate change
- type diabetes
- insulin resistance
- high fat diet induced
- multidrug resistant
- electronic health record
- nk cells
- human health