A Versatile Theranostic Nanoplatform with Aggregation-Induced Emission Properties: Fluorescence Monitoring, Cellular Organelle Targeting, and Image-Guided Photodynamic Therapy.
Haijun MaRuoxin LiHaibing MengMei TianXianhong ZhangYanling LiuLe LiJinying YuanYen WeiPublished in: Small (Weinheim an der Bergstrasse, Germany) (2023)
Photosensitizers (PSs) play a key role in the photodynamic therapy (PDT) of tumors. However, commonly used PSs are prone to intrinsic fluorescence aggregation-caused quenching and photobleaching; this drawback severely limits the clinical application of PDT, necessitating new phototheranostic agents. Herein, a multifunctional theranostic nanoplatform (named TTCBTA NP) is designed and constructed to achieve fluorescence monitoring, lysosome-specific targeting, and image-guided PDT. TTCBTA with a twisted conformation and D-A structure is encapsulated in amphiphilic Pluronic F127 to form nanoparticles (NPs) in ultrapure water. The NPs exhibit biocompatibility, high stability, strong near-infrared emission, and desirable reactive oxygen species (ROSs) production capacity. The TTCBTA NPs also show high-efficiency photo-damage, negligible dark toxicity, excellent fluorescent tracing, and high accumulation in lysosome for tumor cells. Furthermore, TTCBTA NPs are used to obtain fluorescence images with good resolution of MCF-7 tumors in xenografted BALB/c nude mice. Crucially, TTCBTA NPs present a strong tumor ablation ability and image-guided PDT effect by generating abundant ROSs upon laser irradiation. These results demonstrate that the TTCBTA NP theranostic nanoplatform may enable highly efficient near-infrared fluorescence image-guided PDT.
Keyphrases
- photodynamic therapy
- single molecule
- energy transfer
- fluorescence imaging
- highly efficient
- living cells
- oxide nanoparticles
- high efficiency
- cancer therapy
- reactive oxygen species
- oxidative stress
- quantum dots
- adipose tissue
- deep learning
- radiation therapy
- wastewater treatment
- machine learning
- type diabetes
- skeletal muscle
- molecular dynamics simulations
- convolutional neural network
- drug release