Nitrite reductase–mimicking catalysis temporally regulating nitric oxide concentration gradient adaptive for antibacterial therapy
The unique bacterial infection microenvironment (IME) usually requires complicated design of nanomaterials to adapt to IME for enhancing antibacterial therapy. Here, an alternative IME adaptative nitrite reductase-mimicking nanozyme is constructed by in situ growth of ultrasmall copper sulfide clusters on the surface of a nanofibrillar lysozyme assembly (NFLA/CuS NHs), which can temporally regulate nitric oxide (NO) gradient concentration to kill bacteria initially and promote tissue regeneration subsequently. Benefiting from a copper nitrite reductase (CuNIR)-inspired structure with CuS cluster as active center and NFLA as skeleton, NFLA/CuS NHs efficiently boost the catalytic reduction of nitrite to NO. The inherent supramolecular fibrillar networks displays excellent bacterial capture capability, facilitating initial high-concentration NO attacks on the bacteria. The subsequent catalytic release of low-concentration NO by NFLA/CuS NHs-mediated nitrite reduction remarkably promotes cell migration and angiogenesis. This work paves the way for dynamically eliminating MDR bacterial infection and promoting tissue regeneration in a simple and smart way through CuNIR-mimicking catalysis.
Authors
- Hui Shi (ORCID: https://orcid.org/0000-0002-4229-7290)
- Jiaxiang Bai (ORCID: https://orcid.org/0000-0002-3485-5563)
- Yi Yu (ORCID: https://orcid.org/0000-0001-7575-1632)
- Liangliang Wang (ORCID: https://orcid.org/0000-0002-3579-8417)
- Yonghai Feng (ORCID: https://orcid.org/0000-0001-5794-5871)
- Lei Liu (ORCID: https://orcid.org/0000-0002-6265-9412)
- Tianke Yang
Institutions
- Jiangsu University (CN)
- University of Science and Technology of China (CN)
- Changzhou No.2 People's Hospital (CN)
Publication Details
- Journal
- Science Advances
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1126/sciadv.adp5935
- Citations
- 34
- Primary Topic
- Chemical Reactions and Isotopes
- Type
- article
- Field-Weighted Citation Impact
- 7.07
Funders
- National Natural Science Foundation of China
- Government of Jiangsu Province