Photothermal therapy of tuberculosis using targeting pre-activated macrophage membrane-coated nanoparticles
- PMID: 38383890
- DOI: 10.1038/s41565-024-01618-0
Photothermal therapy of tuberculosis using targeting pre-activated macrophage membrane-coated nanoparticles
Abstract
Conventional antibiotics used for treating tuberculosis (TB) suffer from drug resistance and multiple complications. Here we propose a lesion-pathogen dual-targeting strategy for the management of TB by coating Mycobacterium-stimulated macrophage membranes onto polymeric cores encapsulated with an aggregation-induced emission photothermal agent that is excitable with a 1,064 nm laser. The coated nanoparticles carry specific receptors for Mycobacterium tuberculosis, which enables them to target tuberculous granulomas and internal M. tuberculosis simultaneously. In a mouse model of TB, intravenously injected nanoparticles image individual granulomas in situ in the lungs via signal emission in the near-infrared region IIb, with an imaging resolution much higher than that of clinical computed tomography. With 1,064 nm laser irradiation from outside the thoracic cavity, the photothermal effect generated by these nanoparticles eradicates the targeted M. tuberculosis and alleviates pathological damage and excessive inflammation in the lungs, resulting in a better therapeutic efficacy compared with a combination of first-line antibiotics. This precise photothermal modality that uses dual-targeted imaging in the near-infrared region IIb demonstrates a theranostic strategy for TB management.
© 2024. The Author(s), under exclusive licence to Springer Nature Limited.
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Grants and funding
- 82322042/National Natural Science Foundation of China (National Science Foundation of China)
- 82272248/National Natural Science Foundation of China (National Science Foundation of China)
- 81972019/National Natural Science Foundation of China (National Science Foundation of China)
- 82102360/National Natural Science Foundation of China (National Science Foundation of China)
- 2022M720730/China Postdoctoral Science Foundation
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