Title |
The Novel Toll-Like Receptor 2 Agonist SUP3 Enhances Antigen Presentation and T Cell Activation by Dendritic Cells
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Published in |
Frontiers in immunology, February 2017
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DOI | 10.3389/fimmu.2017.00158 |
Pubmed ID | |
Authors |
Xueheng Guo, Ning Wu, Yingli Shang, Xin Liu, Tao Wu, Yifan Zhou, Xin Liu, Jiaoyan Huang, Xuebin Liao, Li Wu |
Abstract |
Dendritic cells (DCs) are highly specialized antigen-presenting cells that play crucial roles in innate and adaptive immunity. Previous studies suggested that Toll-like receptor (TLR) agonists could be used as potential adjuvants, as activation of TLRs can boost DC-induced immune responses. TLR2 agonists have been shown to enhance DC-mediated immune responses. However, classical TLR2 agonists such as Pam3CSK4 are not stable enough in vivo, which limits their clinical applications. In this study, a novel structurally stable TLR2 agonist named SUP3 was designed. Functional analysis showed that SUP3 induced much stronger antitumor response than Pam3CSK4 by promoting cytotoxic T lymphocytes activation in vivo. This effect was achieved through the following mechanisms: SUP3 strongly enhanced the ability of antigen cross-presentation by DCs and subsequent T cell activation. SUP3 upregulated the expression of costimulatory molecules on DCs and increased antigen deposition in draining lymph nodes. More interestingly, SUP3 induced less amount of pro-inflammatory cytokine production in vivo compared to other TLR agonists such as lipopolysaccharide. Taken together, SUP3 could serve as a novel promising immune adjuvant in vaccine development and immune modulations. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 3 | 25% |
Mexico | 1 | 8% |
Switzerland | 1 | 8% |
Unknown | 7 | 58% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 9 | 75% |
Practitioners (doctors, other healthcare professionals) | 2 | 17% |
Scientists | 1 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 12 | 33% |
Student > Master | 5 | 14% |
Student > Doctoral Student | 4 | 11% |
Other | 3 | 8% |
Researcher | 2 | 6% |
Other | 2 | 6% |
Unknown | 8 | 22% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 6 | 17% |
Biochemistry, Genetics and Molecular Biology | 6 | 17% |
Chemistry | 5 | 14% |
Immunology and Microbiology | 5 | 14% |
Medicine and Dentistry | 2 | 6% |
Other | 4 | 11% |
Unknown | 8 | 22% |