Aggregation induced emission luminogen bacteria hybrid bionic robot for multimodal phototheranostics and immunotherapy

Multimodal phototheranostics utilizing single molecules offer a "one-and-done" approach, presenting a convenient and effective strategy for cancer therapy. However, therapies based on conventional photosensitizers often suffer from limitations such as a single photosensitizing mechanism, restricted tumor penetration and retention, and the requirement for multiple irradiations, which significantly constrain their application. In this report, we present an aggregation-induced emission luminogen (AIEgen) bacteria hybrid bionic robot to address above issues. This bionic robot is composed of multifunctional AIEgen (INX-2) and Escherichia coli Nissle 1917 (EcN), i.e., EcN@INX-2. The EcN@INX-2 bionic robot exhibits near-infrared II (NIR-II) fluorescence emission and demonstrates efficient photodynamic and photothermal effects, as well as tumor-targeting capabilities. These features are facilitated by the complementary roles of INX-2 and EcN. The robot successfully enables in vivo multimodal imaging and therapy of colon cancer models in female mice through various mechanisms, including the activation of anti-tumor immunity, as well as photodynamic and photothermal therapy. Our study paves an avenue for designing multifunctional diagnostic agents for targeted colon cancer therapy through image-guided combinational immunotherapy.

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Publication Details

Journal
Nature Communications
Published
2025-03-15
DOI
https://doi.org/10.1038/s41467-025-57533-y
Citations
27
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
18.20

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article

Aggregation induced emission luminogen bacteria hybrid bionic robot for multimodal phototheranostics and immunotherapy

Jiayi Song, Wentian Zhang, Guoxin Li, Ben Zhong Tang et al.
27 citations
Nature Communications
Nanoplatforms for cancer theranostics
18.20
article

Aggregation induced emission luminogen bacteria hybrid bionic robot for multimodal phototheranostics and immunotherapy

Jiayi Song, Wentian Zhang, Guoxin Li, Ben Zhong Tang, Liwei Zhu, Yuling Chen, Li Ying, Deliang Wang, Yifan Wu, Guangjie Song
article en
27 citations

Abstract

Multimodal phototheranostics utilizing single molecules offer a "one-and-done" approach, presenting a convenient and effective strategy for cancer therapy. However, therapies based on conventional photosensitizers often suffer from limitations such as a single photosensitizing mechanism, restricted tumor penetration and retention, and the requirement for multiple irradiations, which significantly constrain their application. In this report, we present an aggregation-induced emission luminogen (AIEgen) bacteria hybrid bionic robot to address above issues. This bionic robot is composed of multifunctional AIEgen (INX-2) and Escherichia coli Nissle 1917 (EcN), i.e., EcN@INX-2. The EcN@INX-2 bionic robot exhibits near-infrared II (NIR-II) fluorescence emission and demonstrates efficient photodynamic and photothermal effects, as well as tumor-targeting capabilities. These features are facilitated by the complementary roles of INX-2 and EcN. The robot successfully enables in vivo multimodal imaging and therapy of colon cancer models in female mice through various mechanisms, including the activation of anti-tumor immunity, as well as photodynamic and photothermal therapy. Our study paves an avenue for designing multifunctional diagnostic agents for targeted colon cancer therapy through image-guided combinational immunotherapy.

Nature CommunicationsVol. 16(1)
Shenzhen University (CN), Guangdong Pharmaceutical University (CN), Huzhou Normal University (CN), Second Affiliated Hospital of Guangzhou Medical University (CN), Chinese University of Hong Kong, Shenzhen (CN), Beijing Tsinghua Chang Gung Hospital (CN), State Key Laboratory of Respiratory Disease (CN), Guangzhou Medical University (CN), Tsinghua University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 0%
Nanoplatforms for cancer theranostics
18.20
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