Title |
A Promising Listeria-Vectored Vaccine Induces Th1-Type Immune Responses and Confers Protection Against Tuberculosis
|
---|---|
Published in |
Frontiers in Cellular and Infection Microbiology, September 2017
|
DOI | 10.3389/fcimb.2017.00407 |
Pubmed ID | |
Authors |
Yuelan Yin, Kai Lian, Dan Zhao, Chengwu Tao, Xiang Chen, Weijun Tan, Xiaobo Wang, Zhengzhong Xu, Maozhi Hu, Yan Rao, Xiaohui Zhou, Zhiming Pan, Xiaoming Zhang, Xin'an Jiao |
Abstract |
Deaths associated with tuberculosis (TB) is rising and accounted for 1.4 million deaths in 2015 many of which were due to drug-resistant bacteria. Vaccines represent an important medical intervention, but the current Bacilli Calmette-Guerin (BCG) vaccine is not ideal for the protection of teenagers and adults. Therefore, a safe and effective vaccine is urgently needed. In this study, we designed a novel vaccine using an attenuated Listeria monocytogenes strain carrying fusion antigen FbpB-ESAT-6 (rLM) and characterized its safety and protective efficacy against Mycobacterium tuberculosis (M.tb) infection in mice. Compared to the wild type strain yzuLM4 and parental strain LMΔactA/plcB (LM1-2), the virulence of rLM was significantly reduced as judged by its infectious kinetics and LD50 dose. Further characterization of intravenous immunization showed that prime-boost vaccination significantly increased the levels of Th1 cytokines (IFN-γ, IL-17, and IL-6), and enhanced cytotoxic T lymphocyte (CTL) CTLs activity, suggesting that rLM could elicit potent Th1/Th17 responses. More importantly, rLM significantly conferred the protection against M.tb H37Rv challenge. Collectively, our findings indicated that rLM is a novel and useful tool to prevent M.tb infection, and can be potentially be used to boost BCG-primed immunity. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 20% |
Switzerland | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Scientists | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 43 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 14% |
Student > Bachelor | 5 | 12% |
Student > Master | 5 | 12% |
Student > Ph. D. Student | 4 | 9% |
Other | 3 | 7% |
Other | 7 | 16% |
Unknown | 13 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 8 | 19% |
Immunology and Microbiology | 8 | 19% |
Unspecified | 2 | 5% |
Nursing and Health Professions | 2 | 5% |
Agricultural and Biological Sciences | 2 | 5% |
Other | 8 | 19% |
Unknown | 13 | 30% |