Enzyme-Powered Liquid Metal Nanobots Endowed with Multiple Biomedical Functions

Autor: Jing Hu, Xi Pan, Samuel Sanchez, Xiaohui Yan, Dandan Xu, Xing Ma
Rok vydání: 2021
Předmět:
Zdroj: ACS Nano. 15:11543-11554
ISSN: 1936-086X
1936-0851
DOI: 10.1021/acsnano.1c01573
Popis: Catalytically powered micro/nanobots (MNBs) can perform active movement by harnessing energy fromiin situ/ichemical reactions and show tremendous potential in biomedical applications. However, the development of imageable MNBs that are driven by bioavailable fuels and possess multiple therapeutic functions remains challenging. To resolve such issues, we herein propose enzyme (urease) powered liquid metal (LM) nanobots that are naturally of multiple therapeutic functions and imaging signals. The main body of the nanobot is composed of a biocompatible LM nanoparticle encapsulated by polydopamine (PDA). Urease enzyme needed for the powering and desired drug molecules,ie/i.ig/i., cefixime trihydrate antibiotic, are grafted on external surfaces of the PDA shell. Such a chemical composition endows the nanobots with dual-mode ultrasonic (US) and photoacoustic (PA) imaging signals and favorable photothermal effect. These LM nanobots exhibit positive chemotaxis and therefore can be collectively guided along a concentration gradient of urea for targeted transportation. When exposed to NIR light, the LM nanobots would deform and complete the function change from active drug carriers to photothermal reagents, to achieve synergetic antibacterial treatment by both photothermal and chemotherapeutic effects. The US and PA properties of the LM nanoparticle can be used to not only track and monitor the active movement of the nanobots in a microfluidic vessel model but also visualize their dynamics in the bladder of a living mouseiin vivo/i. To conclude, the LM nanobots demonstrated herein represent a proof-of-concept therapeutic nanosystem with multiple biomedical functionalities, providing a feasible tool for preclinical studies and clinical trials of MNB-based imaging-guided therapy.
Databáze: OpenAIRE