产气荚膜梭菌
微生物学
生物
抗菌剂
计算生物学
细菌
遗传学
作者
Bocheng Xu,Weike Shaoyong,Lin Wang,Chen Yang,Tingjun Chen,Xiao Jiang,Rong Yan,Zipeng Jiang,Pan Zhang,Mingliang Jin,Yizhen Wang
出处
期刊:Science Advances
[American Association for the Advancement of Science (AAAS)]
日期:2023-09-29
卷期号:9 (39): eadf8782-eadf8782
被引量:31
标识
DOI:10.1126/sciadv.adf8782
摘要
Specifically targeted antimicrobial peptides (STAMPs) are novel alternatives to antibiotics, whereas the development of STAMPs for colonic infections is hindered by limited de novo design efficiency and colonic bioavailability. In this study, we report an efficient de novo STAMP design strategy that combines a traversal design, machine learning model, and phage display technology to identify STAMPs against Clostridium perfringens . STAMPs could physically damage C. perfringens , eliminate biofilms, and self-assemble into nanoparticles to entrap pathogens. Further, a gut-targeted engineering particle vaccine (EPV) was used for STAMPs delivery. In vivo studies showed that both STAMP and EPV@STAMP effectively limited C. perfringens infections and then reduced inflammatory response. Notably, EPV@STAMP exhibited stronger protection against colonic infections than STAMPs alone. Moreover, 16 S ribosomal RNA sequencing showed that both STAMPs and EPV@STAMP facilitated the recovery of disturbed gut microflora. Collectively, our work may accelerate the development of the discovery and delivery of precise antimicrobials.
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