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Immune responses induced by recombinant Lactobacillus plantarum expressing the spike protein derived from transmissible gastroenteritis virus in piglets

Overview of attention for article published in Applied Microbiology and Biotechnology, July 2018
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Title
Immune responses induced by recombinant Lactobacillus plantarum expressing the spike protein derived from transmissible gastroenteritis virus in piglets
Published in
Applied Microbiology and Biotechnology, July 2018
DOI 10.1007/s00253-018-9205-0
Pubmed ID
Authors

Yu-Bei Jin, Wen-Tao Yang, Chun-Wei Shi, Bo Feng, Ke-Yan Huang, Guang-Xun Zhao, Qiong-Yan Li, Jing Xie, Hai-Bin Huang, Yan-Long Jiang, Jian-Zhong Wang, Guan Wang, Yuan-Huan Kang, Gui-Lian Yang, Chun-Feng Wang

Abstract

Transmissible gastroenteritis coronavirus (TGEV) is one of the most severe threats to the swine industry. In this study, we constructed a suite of recombinant Lactobacillus plantarum with surface displaying the spike (S) protein coming from TGEV and fused with DC cells targeting peptides (DCpep) to develop an effective, safe, and convenient vaccine against transmissible gastroenteritis. Our research results found that the recombinant Lactobacillus plantarum (NC8-pSIP409-pgsA-S-DCpep) group expressing S fused with DCpep could not only significantly increase the percentages of MHC-II+CD80+ B cells and CD3+CD4+ T cells but also the number of IgA+ B cells and CD3+CD4+ T cells of ileum lamina propria, which elevated the specific secretory immunoglobulin A (SIgA) titers in feces and IgG titers in serum. Taken together, these results suggest that NC8-pSIP409-pgsA-S-DCpep expressing the S of TGEV fused with DCpep could effectively induce immune responses and provide a feasible original strategy and approach for the design of TGEV vaccines.

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Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 22%
Researcher 8 20%
Student > Master 5 12%
Other 4 10%
Student > Bachelor 4 10%
Other 4 10%
Unknown 7 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 20%
Agricultural and Biological Sciences 7 17%
Nursing and Health Professions 2 5%
Veterinary Science and Veterinary Medicine 2 5%
Engineering 2 5%
Other 10 24%
Unknown 10 24%