AUTHOR=Yang Jinyue , Zhang Xueting , Dong Junhua , Zhang Qian , Sun Erchao , Chen Cen , Miao Zhuangxia , Zheng Yifei , Zhang Nan , Tao Pan 

TITLE=De novo identification of bacterial antigens of a clinical isolate by combining use of proteosurfaceomics, secretomics, and BacScan technologies

JOURNAL=Frontiers in Immunology

VOLUME=14

YEAR=2023

URL=https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2023.1274027

DOI=10.3389/fimmu.2023.1274027

ISSN=1664-3224

ABSTRACT=<sec><title>Background</title><p>Emerging infectious diseases pose a significant threat to both human and animal populations. Rapid <italic>de novo</italic> identification of protective antigens from a clinical isolate and development of an antigen-matched vaccine is a golden strategy to prevent the spread of emerging novel pathogens.</p></sec><sec><title>Methods</title><p>Here, we focused on <italic>Actinobacillus pleuropneumoniae</italic>, which poses a serious threat to the pig industry, and developed a general workflow by integrating proteosurfaceomics, secretomics, and BacScan technologies for the rapid <italic>de novo</italic> identification of bacterial protective proteins from a clinical isolate.</p></sec><sec><title>Results</title><p>As a proof of concept, we identified 3 novel protective proteins of <italic>A. pleuropneumoniae</italic>. Using the protective protein HBS1_14 and toxin proteins, we have developed a promising multivalent subunit vaccine against <italic>A. pleuropneumoniae</italic>.</p></sec><sec><title>Discussion</title><p>We believe that our strategy can be applied to any bacterial pathogen and has the potential to significantly accelerate the development of antigen-matched vaccines to prevent the spread of an emerging novel bacterial pathogen.</p></sec>