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

Тераностический агент с саморепортированием гибели клеток в реальном времени для динамической оптимизации фотодинамической терапии
Jing Li, Fangyuan Li, Daishun Ling, Qiyue Wang, He Cui, Hongyan Jia, Juanjuan Zheng, Wei Bian, Tao Pan, Yulu Zhang
2025-03-08

cell death self-reportingdrug-light intervalextracellular potassiumphotodynamic theranostic nanoagentphotodynamic therapy
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⁺] ex ) fluctuations as direct indicators of tumor cell death. By exploiting [K⁺] ex 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⁺] ex 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.
1
A real-time cell-death self-reporting photodynamic theranostic nanoagent (CDPN) dynamically monitors extracellular potassium fluctuations during therapy.
2
CDPN integrates a photosensitizer and potassium-sensitive fluorophore in mesoporous silica nanoparticles enclosed by a potassium-selective membrane.
3
CDPN-guided monitoring supports data-driven optimization of the drug-light interval, overcoming limitations of photosensitizer-accumulation-based scheduling.
4
Extracellular potassium dynamics closely correlate with apoptosis and necrosis, enabling direct evaluation of photodynamic therapy efficacy.
5
In a breast cancer model, optimized drug-light intervals identified using CDPN significantly improved photodynamic therapy outcomes.

Tumor cells and breast cancer tumors undergoing photodynamic therapy monitored by a cell-death self-reporting theranostic nanoagent

Real-time monitoring of extracellular potassium ion ([K⁺]ex) dynamics as indicators of apoptosis and necrosis to evaluate PDT efficacy and optimize the drug–light interval

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2025-03-08
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Jing Li
Fangyuan Li
Daishun Ling
Qiyue Wang
He Cui
Hongyan Jia
Juanjuan Zheng
Wei Bian
Tao Pan
Yulu Zhang
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