An Efficient Heat and Peroxynitrite Generating Nanoplatform for Multimodal Imaging‐guided Precision Tumor Phototherapy

ABSTRACT Near‐infrared II (NIR‐II) fluorescent nanoparticles (NPs) based on aggregation‐induced emission (AIE) have attracted significant attention due to their multimodal imaging capabilities as well as the combined photothermal and photodynamic therapeutic effects in cancer therapy. Reported herein is the rational designed AIE molecule (BPT), via incorporating phenothiazine units with strong electron‐donating and reactive oxygen species (ROS) generation capabilities into the classical AIE scaffold tetraphenylethylene, further coupled with a strong electron‐acceptor named benzo[1,2‐c:4,5‐c']bis[1,2,5]thiadiazole. The BPT NPs exhibited maximum NIR‐II fluorescence emission at 1083 nm, a fluorescence quantum yield of 1.53%, photothermal conversion efficiency of 63%, and photoacoustic imaging capabilities, alongside considerable type I ROS generation ability. Additionally, when a kind of nitric oxide (NO) donor named O 2 ‐(2,4‐dinitrophenyl) 1‐[(4‐ethoxycarbonyl) piperazin‐1‐yl]diazen‐1‐ium‐1,2‐diolate (JSK) was incorporated, the corresponding JSK‐BPT NPs could generate O 2 − , NO, and peroxynitrite to induce phototoxicity. By applying it to the 4T1 breast tumor model, JSK‐BPT NPs achieved high‐quality multimodal imaging of the vasculature and tumor regions in mice. Under the multimodal imaging guidance, the 4T1 tumor could be ablated completely after a single dose of JSK‐BPT NPs and under the irradiation of an 808 nm laser.

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Aggregate
Published
2025-04-13
DOI
https://doi.org/10.1002/agt2.70040
Citations
9
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
6.07

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article

An Efficient Heat and Peroxynitrite Generating Nanoplatform for Multimodal Imaging‐guided Precision Tumor Phototherapy

Pan‐Lin Shao, Cheng Li, Lei Xi, Siyu Zhou et al.
9 citations
Aggregate
Nanoplatforms for cancer theranostics
6.07
article

An Efficient Heat and Peroxynitrite Generating Nanoplatform for Multimodal Imaging‐guided Precision Tumor Phototherapy

Pan‐Lin Shao, Cheng Li, Lei Xi, Siyu Zhou, Xuan Ning Sharon Tan, Hongjun Xiao, Jingkai Yang, Jiahui Lv, Yicheng Yang, Heng Guo, Ziyi Xu, Tingting Li, Bo Zhang, Jiaxin Li, Mingkun Lv
article en
9 citations

Abstract

ABSTRACT Near‐infrared II (NIR‐II) fluorescent nanoparticles (NPs) based on aggregation‐induced emission (AIE) have attracted significant attention due to their multimodal imaging capabilities as well as the combined photothermal and photodynamic therapeutic effects in cancer therapy. Reported herein is the rational designed AIE molecule (BPT), via incorporating phenothiazine units with strong electron‐donating and reactive oxygen species (ROS) generation capabilities into the classical AIE scaffold tetraphenylethylene, further coupled with a strong electron‐acceptor named benzo[1,2‐c:4,5‐c']bis[1,2,5]thiadiazole. The BPT NPs exhibited maximum NIR‐II fluorescence emission at 1083 nm, a fluorescence quantum yield of 1.53%, photothermal conversion efficiency of 63%, and photoacoustic imaging capabilities, alongside considerable type I ROS generation ability. Additionally, when a kind of nitric oxide (NO) donor named O 2 ‐(2,4‐dinitrophenyl) 1‐[(4‐ethoxycarbonyl) piperazin‐1‐yl]diazen‐1‐ium‐1,2‐diolate (JSK) was incorporated, the corresponding JSK‐BPT NPs could generate O 2 − , NO, and peroxynitrite to induce phototoxicity. By applying it to the 4T1 breast tumor model, JSK‐BPT NPs achieved high‐quality multimodal imaging of the vasculature and tumor regions in mice. Under the multimodal imaging guidance, the 4T1 tumor could be ablated completely after a single dose of JSK‐BPT NPs and under the irradiation of an 808 nm laser.

AggregateVol. 6(6)
Southern University of Science and Technology (CN), State Key Laboratory of Respiratory Disease (CN), Guangzhou Medical University (CN)
National Natural Science Foundation of China, Southern University of Science and Technology
Openalex Percentile: Top 4%
Nanoplatforms for cancer theranostics
6.07
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