Researchers engineer bacterial vesicles into multifunctional tools to kill pathogens, boost vaccines, and deliver targeted therapies

Antibiotic resistance is making bacterial infections harder to treat, demanding new therapeutic strategies. A new review highlights bacterial extracellular vesicles (BEVs) as promising nanoscale tools that can kill pathogens, block infection, enhance vaccines, and deliver drugs. By integrating genetic, chemical, and physical engineering, researchers demonstrate how BEVs can be transformed into customizable “nanoweapons.” This approach could reshape infection treatment by enabling safer, targeted, and more effective alternatives to conventional antibiotics.

Bacterial infections remain a major global health challenge, causing millions of deaths each year and increasingly resisting conventional treatments. While antibiotics have long been the cornerstone of infection control, their overuse and limited targeting ability have accelerated the rise of antimicrobial resistance. At the same time, the slow pace of new antibiotic development has created an urgent need for innovative strategies that can effectively prevent and treat infections without contributing to resistance.

Addressing this challenge, a team of researchers led by Professor Honggang Hu and Dr. Yejiao Shi from the Institute of Translational Medicine, ChinaShanghai University, along with Professor Cuiping Zhang and Dr. Xi Liu, a researcheres at the Medical Innovation Research Department, PLA General Hospital and PLA Medical College, Beijing, China, explored the emerging potential of bacterial extracellular vesicles (BEVs) as next-generation therapeutic platforms. These nanosized, lipid-bound particles, naturally secreted by bacteria, carry bioactive molecules and can interact with both pathogens and host cells. Their findings were published on February 5, 2026, in Volume 9 of the journal Research.

BEVs have attracted growing interest because of their unique biological properties. Derived from both gram-negative and gram-positive bacteria, these vesicles contain proteins, nucleic acids, metabolites, and pathogen-associated molecular patterns that enable them to influence bacterial competition and host immune responses. Their nanoscale size and membrane structure allow them to penetrate tissues and deliver molecular cargo efficiently, making them highly versatile for biomedical applications.

The researchers highlight that natural BEVs already possess intrinsic antibacterial capabilities. They can directly kill competing bacteria by delivering enzymes such as autolysins and hydrolases that break down cell walls, as well as small molecules that inhibit biofilm formation. In addition, BEVs can interfere with bacterial adhesion to host tissues, preventing infection at its earliest stage. These dual roles—as antibacterial and antiadhesion agents—make them attractive alternatives to traditional antibiotics.
To further enhance their effectiveness, the study outlines a range of engineering strategies that transform BEVs into multifunctional therapeutic tools. Genetic engineering can modify parent bacteria to produce vesicles with reduced toxicity, increased yield, or enhanced antigen presentation. Physical and chemical methods can be used to load drugs, attach targeting molecules, or combine BEVs with nanoparticles. These modifications enable BEVs to function not only as antibacterial agents but also as vaccine platforms, immune adjuvants, and targeted drug delivery systems.

The analysis also reveals how engineered BEVs can address key limitations of existing therapies. As vaccine components, they can stimulate strong immune responses while avoiding the risks associated with live or attenuated bacteria. As drug carriers, they improve the stability, targeting, and intracellular delivery of antibiotics, potentially overcoming resistance mechanisms. “BEVs combine the advantages of natural biological activity with the flexibility of modern engineering,” Prof. Hu Zhang noted. “This allows them to be tailored for diverse therapeutic needs.”

Beyond immediate clinical applications, the research points to broader implications for healthcare and scientific collaboration. In the short term, BEV-based therapies could improve treatment outcomes for patients with drug-resistant infections and reduce reliance on high-dose antibiotics. Over the longer term, they may enable more precise, personalized approaches to infection management, integrating diagnostics, prevention, and therapy into a single platform. “The integration of bioengineering and emerging technologies such as artificial intelligence will further accelerate the development of BEV-based therapeutics,” Prof. Zhang Hu added.

In conclusion, despite their promise, several challenges remain. Variability in BEV composition, lack of standardized production methods, and uncertainties about long-term safety must be addressed before widespread clinical use. Advances in multiomics analysis and AI-driven design are expected to play a crucial role in overcoming these barriers and optimizing BEV performance. As research progresses, BEVs represent a compelling new frontier in the fight against bacterial infections, offering a flexible, scalable, and potentially transformative alternative to conventional treatments.

The complete study is accessible via DOI:10.34133/research.1135


About the Research journal
Launched in 2018, Research is the first journal in the Science Partner Journal (SPJ) program. The journal is published by the American Association for the Advancement of Science (AAAS) in association with Science and Technology Review Publishing House. Research publishes peer-reviewed studies across life sciences, physical sciences and applied sciences. It provides a multidisciplinary platform for scientific advances and emerging research directions. It features original research articles, reviews, perspectives, and editorials highlighting discoveries and technological innovations. Research supports interdisciplinary collaboration and global knowledge exchange across scientific fields. The journal has an Impact Factor of 10.7 and a CiteScore of 13.3.

Website: https://spj.science.org/journal/research

Funding Information
The work was supported by the Shanghai Pujiang Program (21PJ1404100), the Young Elite Scientists Sponsorship Program by CAST (2023QNRC001), and the National Natural Science Foundation of China (Nos. 22477075, 22077078, and 22205260).