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PMID: 40705476 已发表 · epublish 英语

STING-adjuvanted outer membrane vesicle nanoparticle vaccine against Pseudomonas aeruginosa.

JCI insight ·第 10 卷 ·第 17 期 ·2025-09-09

Bjånes E, Krishnan N, Koh T, Ngo AT, Cole J, Olson J, Cornax I, Chen CH, Chavarria N, Dahesh S, Hannah SM, Stream A, Zhang JA, Besançon H, Sun D, Yendluri S, Morrill S, Zhou J, Mohapatra A, Fang RH, Nizet V

摘要

Multidrug-resistant (MDR) bacterial pneumonia poses a critical threat to global public health. The opportunistic Gram-negative pathogen Pseudomonas aeruginosa is a leading cause of nosocomial-associated pneumonia, and an effective vaccine could protect vulnerable populations, including the elderly, immunocompromised, and those with chronic respiratory diseases. Highly heterogeneous outer membrane vesicles (OMVs), shed from Gram-negative bacteria, are studded with immunogenic lipids, proteins, and virulence factors. To overcome limitations in OMV stability and consistency, we described what we believe to be a novel vaccine platform that combines immunogenic OMVs with precision nanotechnology - creating a bacterial cellular nanoparticle (CNP) vaccine candidate, termed Pa-STING CNP, which incorporates an adjuvanted core that activates the STING (stimulator of interferon genes) pathway. In this design, OMVs are coated onto the surface of self-adjuvanted STING nanocores. Pa-STING CNP vaccination induced substantial antigen presenting cell recruitment and activation in draining lymph nodes, robust anti-Pseudomonas antibody responses, and provided protection against lethal challenge with the hypervirulent clinical P. aeruginosa isolate PA14. Antibody responses mediated this protection and provided passive immunity against the heterologous P. aeruginosa strain PA01. These findings provided evidence that nanotechnology can be used to create a highly efficacious vaccine platform against high priority MDR pathogens such as P. aeruginosa.

关键词
Bacterial infections Bacterial vaccines Infectious disease Microbiology Nanotechnology Vaccines
文献信息
期刊
JCI insight
期刊简称
JCI Insight
ISSN
2379-3708
发表日期
2025-09-09
语言
英语
国家/地区
United States
NLM ID
101676073
分析服务
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