NIR-Absorbing Tetraphenylethene-Containing bisBODIPY Nanoplatforms Demonstrate Effective Lysosome-Targeting and Combinational Phototherapy.
Xing GuoBing TangQinghua WuWenhua ZhongQingbao GongShizhang LingLijuan JiaoXiaochun JiangErhong HaoPublished in: ACS applied materials & interfaces (2024)
Photosensitizer-based phototherapies, including photodynamic therapy (PDT) and photothermal therapy (PTT), offer safe treatment modalities for tumor ablation with spatiotemporal precision. After photons are absorbed, PDT creates localized chemical damage by generating reactive oxygen species (ROS), while PTT induces localized thermal damage. However, PDT still faces hypoxic tumor challenges, while PTT encounters issues related to heat resistance and potential overheating. The combination of PDT and PTT shows great potential as an effective anticancer strategy. By targeting lysosomes with carefully designed phototherapeutic reagents for combined phototherapy, rapid dysfunction and cell death in cancer cells can be induced, showing promise for cancer treatment. Herein, two α-α-linked bisBODIPYs with tetraphenylethene (TPE) moieties are designed and synthesized. These TPE-substituted bisBODIPYs expand the absorption into NIR range (λ max abs /λ max em ∼ 740/810 nm) and confer aggregation-induced emission (AIE) activity (λ max em ∼ 912 nm). Moreover, these bisBODIPYs self-assemble with surfactant F-127 into nanoparticles (NPs), which efficiently generate ROS ( 1 O 2 and • OH) in both solution and cellular environments and demonstrate superior photothermal conversion efficiencies (η ∼ 68.3%) along with exceptional photothermal stability. More importantly, these NPs showed lysosomal targeting and remarkable tumor ablation in cellular and murine models, indicating their potential in precision tumor therapy.
Keyphrases
- photodynamic therapy
- cell death
- fluorescence imaging
- reactive oxygen species
- cancer therapy
- dna damage
- stem cells
- fluorescent probe
- drug delivery
- machine learning
- endothelial cells
- living cells
- deep learning
- atrial fibrillation
- heat stress
- diabetic rats
- cell therapy
- high glucose
- cell cycle arrest
- drug release
- cell proliferation
- combination therapy
- artificial intelligence