Small Heat Shock Proteins B1 and B6: Which One is the Most Effective Adjuvant in Therapeutic HPV Vaccine?
Azam BolhassaniSepideh ShahbaziAlireza MilaniSeyed Alireza NadjiPublished in: IUBMB life (2018)
Therapeutic human papillomaviruse (HPV) vaccines have the potential to inhibit the tumor growth by targeting HPV E6 and E7 oncoproteins. Among different vaccine strategies, DNA and protein-based approaches are the most effective candidates for stimulation of the immune responses against HPV infections. Our study was designed to assess the efficacy of small heat shock proteins B1 (Hsp27) and B6 (Hsp20) as an adjuvant accompanied by HPV16 E7 and hPP10-E7 antigens in tumor mouse model. A major key for successful DNA and protein transfer into cells is the development of delivery systems with high efficiency and low cytotoxicity. Herein, we used hPP10 and MPG cell penetrating peptides (CPPs) for protein and DNA delivery in vivo, respectively. Our data indicated that the combination of Hsp27 with the recombinant hPP10-E7 protein in homologous protein/protein (hPP10-E7 + Hsp27) and heterologous DNA/protein (pcDNA-E7 + MPG/ hPP10-E7 + Hsp27) significantly enhanced the E7-specific T cell responses. Indeed, these regimens induced high levels of IgG2a, IFN-γ and IL-2 directed toward Th1 responses and also Granzyme B secretion as compared to other immunization strategies, and also displayed complete protection more than 60 days after treatment. These data suggest that the use of Hsp27 as an adjuvant and MPG and hPP10 as a gene and protein carrier would represent promising applications for improvement of HPV therapeutic vaccines. © 2018 IUBMB Life, 70(10):1002-1011, 2018.
Keyphrases
- heat shock
- protein protein
- heat shock protein
- heat stress
- high grade
- small molecule
- immune response
- cell free
- circulating tumor
- amino acid
- single molecule
- early stage
- mouse model
- oxidative stress
- dna damage
- dendritic cells
- mesenchymal stem cells
- single cell
- binding protein
- endothelial cells
- cervical cancer screening
- electronic health record
- risk assessment
- cell death
- high glucose
- genome wide
- big data
- cell therapy
- transcription factor
- inflammatory response
- dna methylation
- human health
- stress induced
- deep learning
- drug induced
- artificial intelligence