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Published July 23, 2024 | v1
Journal Article Open

Bacterial outer membrane vesicle nanorobot

Abstract

Autonomous nanorobots represent an advanced tool for precision therapy to improve therapeutic efficacy. However, current nanorobotic designs primarily rely on inorganic materials with compromised biocompatibility and limited biological functions. Here, we introduce enzyme-powered bacterial outer membrane vesicle (OMV) nanorobots. The immobilized urease on the OMV membrane catalyzes the decomposition of bioavailable urea, generating effective propulsion for nanorobots. This OMV nanorobot preserves the unique features of OMVs, including intrinsic biocompatibility, immunogenicity, versatile surface bioengineering for desired biofunctionalities, capability of cargo loading and protection. We present OMV-based nanorobots designed for effective tumor therapy by leveraging the membrane properties of OMVs. These involve surface bioengineering of robotic body with cell-penetrating peptide for tumor targeting and penetration, which is further enhanced by active propulsion of nanorobots. Additionally, OMV nanorobots can effectively safeguard the loaded gene silencing tool, small interfering RNA (siRNA), from enzymatic degradation. Through systematic in vitro and in vivo studies using a rodent model, we demonstrate that these OMV nanorobots substantially enhanced siRNA delivery and immune stimulation, resulting in the utmost effectiveness in tumor suppression when juxtaposed with static groups, particularly evident in the orthotopic bladder tumor model. This OMV nanorobot opens an inspiring avenue to design advanced medical robots with expanded versatility and adaptability, broadening their operation scope in practical biomedical domains.

Copyright and License

© 2024 the Author(s). Published by PNAS. This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

Acknowledgement

We acknowledge the experimental supports from Shenzhen Research Institute of Wuhan University. This work was funded by Shenzhen Science and Technology Innovation Commission (RCJC20200714114557005), National Natural Science Foundation of China (61931024, 92359202), Sanming Project of Medicine in Shenzhen (SZSM202211009), and Shenzhen Science and Technology Program (JCYJ20220818100015031, JCYJ20220530151408018).

Contributions

S.T., D.T., Y.L., W.G., and S.W. designed research; S.T., D.T., H. Zhou, Y.L., D.Z., X.P., C.R., Y.S., S.Z., H. Zheng, F.W., J.Y., H.H., and X.M. performed research; S.T., D.T., and W.G. analyzed data; and S.T., D.T., W.G., and S.W. wrote the paper.

Data Availability

All study data are included in the article and/or supporting information.
 

Conflict of Interest

The authors declare no competing interest.

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Additional details

Created:
July 16, 2024
Modified:
July 16, 2024