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DOI 10.1080/1061186x.2023.2301418

Медицинская библиотека · Journal of drug targeting · 2024

Development and characterization of a novel neutralizing scFv vectored immunoprophylaxis against botulinum toxin type A.

Wei Yongpeng, Li Guangyao, Wang Zhuo, Qian Kewen, Zhang Shuyi, Zhang Lingling, Lei Changhai, Hu Shi

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

Botulinum toxin is a protein toxin secreted by Clostridium botulinum that is strongly neurotoxic. Due to its characteristics of being super toxic, quick acting, and difficult to prevent, the currently reported antiviral studies focusing on monoclonal antibodies have limited effectiveness. Therefore, for the sake of effectively prevention and treatment of botulism and to maintain country biosecurity as well as the health of the population, in this study, we intend to establish a single chain antibody (scFv) targeting the carboxyl terminal binding functional domain of the botulinum neurotoxin heavy chain (BONT/AHc) of botulinum neurotoxin type A, and explore the value of a new passive immune method in antiviral research which based on adeno-associated virus (AAV) mediated vector immunoprophylaxis (VIP) strategy. The scFv small-molecular single-chain antibody sequenced, designed, constructed, expressed and purified by hybridoma has high neutralising activity and affinity level, which can lay a good foundation for the modification and development of antibody engineering drugs. In vivo experiments, AAV-mediated scFv engineering drug has good anti-BONT/A toxin neutralisation ability, has advantages of simple operation, stable expression and good efficacy, and may be one of the effective treatment strategies for long-term prevention and protection of BONT/A botulinum neurotoxin.

Для цитирования: Wei Yongpeng, Li Guangyao, Wang Zhuo, Qian Kewen, Zhang Shuyi, Zhang Lingling, Lei Changhai, Hu Shi. Development and characterization of a novel neutralizing scFv vectored immunoprophylaxis against botulinum toxin type A.. Journal of drug targeting. 2024. DOI: 10.1080/1061186x.2023.2301418.

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