journal article·2024-07Open access

Engineering Photothermal Catalytic CO2 Nanoreactor for Osteomyelitis Treatment by In Situ CO Generation

Fan Zhuang, Luxia Jing, Huijing Xiang, Cuixian Li, Beilei Lu, Lixia Yan, Jingjing Wang, Yu Chen, Beijian Huang

Advanced Science· Volume 11· Issue 25

Abstract

Abstract Photocatalytic carbon dioxide (CO2) reduction is an effective method for in vivo carbon monoxide (CO) generation for antibacterial use. However, the available strategies mainly focus on utilizing visible‐light‐responsive photocatalysts to achieve CO generation. The limited penetration capability of visible light hinders CO generation in deep‐seated tissues. Herein, a photothermal CO2 catalyst (abbreviated as NNBCs) to achieve an efficient hyperthermic effect and in situ CO generation is rationally developed, to simultaneously suppress bacterial proliferation and relieve inflammatory responses. The NNBCs are modified with a special polyethylene glycol and further embellished by bicarbonate (BC) decoration via ferric ion‐mediated coordination. Upon exposure to 1064 nm laser irradiation, the NNBCs facilitated efficient photothermal conversion and in situ CO generation through photothermal CO2 catalysis. Specifically, the photothermal effect accelerated the decomposition of BC to produce CO2 for photothermal catalytic CO production. Benefiting from the hyperthermic effect and in situ CO production, in vivo assessments using an osteomyelitis model confirmed that NNBCs can simultaneously inhibit bacterial proliferation and attenuate the photothermal effect‐associated pro‐inflammatory response. This study represents the first attempt to develop high‐performance photothermal CO2 nanocatalysts to achieve in situ CO generation for the concurrent inhibition of bacterial growth and attenuation of inflammatory responses.
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Research context

OpenAlex topics: Nanoplatforms for cancer theranostics · Heme Oxygenase-1 and Carbon Monoxide · Thermal Regulation in Medicine

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Ultrasound Zhongshan Hospital Fudan University and Shanghai Institute of Medical Imaging Shanghai 200032 P. R. China

Materdicine Lab School of Life Sciences Shanghai University Shanghai 200444 P. R. China

Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine Vision and Brain Health) Wenzhou Institute of Shanghai University Wenzhou Zhejiang 325088 P. R. China

Shanghai Institute of Materdicine Shanghai 200051 P. R. China

Funding

National Natural Science Foundation of China · Shanghai Shuguang Program · Shanghai Rising-Star Program

References (47)

Show source-provided references
1. 10.1038/nrd322810.1038/nrd3228 ↗
2. 10.1038/s41557-018-0055-210.1038/s41557-018-0055-2 ↗
3. 10.1002/anie.20210715510.1002/anie.202107155 ↗
4. 10.1002/anie.20210402410.1002/anie.202104024 ↗
5. 10.1002/anie.20211278210.1002/anie.202112782 ↗
6. 10.1152/physrev.00011.200510.1152/physrev.00011.2005 ↗
7. 10.1038/nrd.2015.110.1038/nrd.2015.1 ↗
8. 10.1039/c2cs15317c10.1039/c2cs15317c ↗
9. 10.1021/acs.chemrev.2c0003310.1021/acs.chemrev.2c00033 ↗
10. 10.1126/science.aaw751510.1126/science.aaw7515 ↗
11. 10.1038/s41586-023-05918-810.1038/s41586-023-05918-8 ↗
12. 10.1002/anie.20221216210.1002/anie.202212162 ↗
13. 10.1021/acsnano.9b0034510.1021/acsnano.9b00345 ↗
14. 10.1016/j.biomaterials.2022.12187510.1016/j.biomaterials.2022.121875 ↗
15. 10.1038/s41587-022-01351-w10.1038/s41587-022-01351-w ↗
16. 10.1002/adma.20210677310.1002/adma.202106773 ↗
17. 10.1021/acsnano.2c0902510.1021/acsnano.2c09025 ↗
18. 10.1002/ange.20220721310.1002/ange.202207213 ↗
19. 10.1002/anie.20131122510.1002/anie.201311225 ↗
20. 10.1002/advs.20230256810.1002/advs.202302568 ↗
21. 10.1038/s41467-020-16336-z10.1038/s41467-020-16336-z ↗
22. 10.1002/adma.20150276210.1002/adma.201502762 ↗
23. 10.1021/acsnano.6b0585810.1021/acsnano.6b05858 ↗
24. 10.1002/adma.20190848610.1002/adma.201908486 ↗
25. 10.1021/acsnano.9b0639410.1021/acsnano.9b06394 ↗
26. 10.1039/D0CS00664E10.1039/D0CS00664E ↗
27. 10.1021/jacs.7b0781810.1021/jacs.7b07818 ↗
28. Xiang H. · ACS Nano · 2019 · 13 · 2223
29. 10.1021/acsnano.0c0877310.1021/acsnano.0c08773 ↗
30. 10.1038/s41570-018-0031-910.1038/s41570-018-0031-9 ↗
31. 10.1002/anie.20160664310.1002/anie.201606643 ↗
32. 10.1021/acsnano.1c0099010.1021/acsnano.1c00990 ↗
33. 10.1021/acscentsci.9b0134210.1021/acscentsci.9b01342 ↗
34. 10.1021/acsnano.0c0804510.1021/acsnano.0c08045 ↗
35. 10.1126/sciadv.abn170110.1126/sciadv.abn1701 ↗
36. 10.1002/adma.20120468310.1002/adma.201204683 ↗
37. 10.1038/s41467-021-21047-010.1038/s41467-021-21047-0 ↗
38. 10.1021/acs.analchem.7b0013510.1021/acs.analchem.7b00135 ↗
39. 10.1039/D0SC00135J10.1039/D0SC00135J ↗
40. 10.1038/s41467-022-31500-310.1038/s41467-022-31500-3 ↗
41. 10.1002/adma.20220796110.1002/adma.202207961 ↗
42. 10.1002/adma.20220406510.1002/adma.202204065 ↗
43. 10.1021/jacs.7b0749210.1021/jacs.7b07492 ↗
44. 10.1002/anie.20130889910.1002/anie.201308899 ↗
45. 10.1021/acsnano.2c0342210.1021/acsnano.2c03422 ↗
46. 10.1038/s41581-019-0158-z10.1038/s41581-019-0158-z ↗
47. 10.1016/j.jconrel.2023.09.01210.1016/j.jconrel.2023.09.012 ↗