A Real‐Time Cell Death Self‐Reporting Theranostic Agent for Dynamic Optimization of Photodynamic Therapy

The therapeutic efficiency of photodynamic therapy (PDT) hinges on the drug-light interval (DLI), yet conventional approaches relying on photosensitizer accumulation often lead to suboptimal irradiation and adverse side effects. Here, a real-time cell death self-reporting photodynamic theranostic nanoagent (CDPN) is presented that dynamically monitors extracellular potassium ion ([K⁺]<sub>ex</sub>) fluctuations as direct indicators of tumor cell death. By exploiting [K⁺]<sub>ex</sub> dyshomeostasis associated with apoptosis and necrosis, CDPN combines a photosensitizer and a potassium-sensitive fluorophore within mesoporous silica nanoparticles, encapsulated by a K⁺-selective membrane for enhanced specificity. In vitro and in vivo studies validate that [K⁺]<sub>ex</sub> dynamics closely correlate with cell death, enabling precise evaluation of PDT efficacy and data-driven optimization of the DLI. Using a breast cancer model, CDPN-guided adjustments identify optimized DLI conditions, achieving significantly improved therapeutic outcomes. This study introduces a new paradigm for PDT, establishing a real-time, adaptable strategy for guiding treatment parameters and advancing precision oncology.

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Publication Details

Journal
Advanced Science
Published
2025-03-08
DOI
https://doi.org/10.1002/advs.202417678
Citations
2
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
1.35

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article

A Real‐Time Cell Death Self‐Reporting Theranostic Agent for Dynamic Optimization of Photodynamic Therapy

Tao Pan, Daishun Ling, Juanjuan Zheng, Jing Li et al.
2 citations
Advanced Science
Nanoplatforms for cancer theranostics
1.35
article

A Real‐Time Cell Death Self‐Reporting Theranostic Agent for Dynamic Optimization of Photodynamic Therapy

Tao Pan, Daishun Ling, Juanjuan Zheng, Jing Li, Yulu Zhang, Fangyuan Li, Qiyue Wang, Hongyan Jia, Wei Bian, He Cui
article en
2 citations

Abstract

The therapeutic efficiency of photodynamic therapy (PDT) hinges on the drug-light interval (DLI), yet conventional approaches relying on photosensitizer accumulation often lead to suboptimal irradiation and adverse side effects. Here, a real-time cell death self-reporting photodynamic theranostic nanoagent (CDPN) is presented that dynamically monitors extracellular potassium ion ([K⁺]<sub>ex</sub>) fluctuations as direct indicators of tumor cell death. By exploiting [K⁺]<sub>ex</sub> dyshomeostasis associated with apoptosis and necrosis, CDPN combines a photosensitizer and a potassium-sensitive fluorophore within mesoporous silica nanoparticles, encapsulated by a K⁺-selective membrane for enhanced specificity. In vitro and in vivo studies validate that [K⁺]<sub>ex</sub> dynamics closely correlate with cell death, enabling precise evaluation of PDT efficacy and data-driven optimization of the DLI. Using a breast cancer model, CDPN-guided adjustments identify optimized DLI conditions, achieving significantly improved therapeutic outcomes. This study introduces a new paradigm for PDT, establishing a real-time, adaptable strategy for guiding treatment parameters and advancing precision oncology.

Advanced ScienceVol. 12(17)
Shanxi Medical University (CN), Shanghai Jiao Tong University (CN), First Hospital of Shanxi Medical University (CN), Songjiang District Central Hospital (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shanxi Province, Fundamental Research Funds for the Central Universities, Science and Technology Innovation Plan Of Shanghai Science and Technology Commission
Good health and well-being
Openalex Percentile: Top 22%
Nanoplatforms for cancer theranostics
1.35
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