A Dual-Model Imaging Theragnostic System Based on Mesoporous Silica Nanoparticles for Enhanced Cancer Phototherapy.
Chenlu HuangZhiming ZhangQing GuoLi ZhangFan FanYu QinHai WangSheng ZhouWenbin Ou-YangHongfan SunXigang LengXiangbin PanDeling KongLinhua ZhangDunwan ZhuPublished in: Advanced healthcare materials (2019)
Mesoporous silica nanoparticles (MSNs) show great promise to be exploited as versatile multifunctional nanocarriers for effective cancer diagnosis and treatment. In this work, perfluorohexane (PFH)-encapsulated MSNs with indocyanine green (ICG)-polydopamine (PDA) layer and poly(ethylene glycol)-folic acid coating (designated as MSNs-PFH@PDA-ICG-PEG-FA) are successfully fabricated to achieve tumor ultrasonic (US)/near-infrared fluorescence (NIRF) imaging as well as photothermal therapy (PTT)/photodynamic therapy (PDT). MSNs-PFH@PDA-ICG-PEG-FA exhibits good monodispersity with high ICG loading, significantly enhances ICG photostability, and greatly improves cellular uptake. Upon single 808 nm NIR irradiation, the nanocarrier not only efficiently generates hyperthermia to realize PTT, but also produces reactive oxygen species (ROS) for effective PDT. Meanwhile, NIR irradiation can trigger PFH to undergo vaporization and provide a super-resolution US image. Thus, the PTT/PDT combination therapy can be dually guided by PFH-induced US imaging and ICG-induced NIRF imaging. In vivo antitumor studies demonstrate that PTT/PDT from MSNs-PFH@PDA-ICG-PEG-FA significantly inhibits tumor growth and achieves a cure rate of 60% (three out of five mice are completely cured). Hence, the multifunctional MSNs appear to be a promising theragnostic nanoplatform for multimodal cancer imaging and therapy.
Keyphrases
- photodynamic therapy
- fluorescence imaging
- drug delivery
- high resolution
- papillary thyroid
- reactive oxygen species
- combination therapy
- squamous cell carcinoma
- stem cells
- drug release
- oxidative stress
- single molecule
- high glucose
- machine learning
- skeletal muscle
- metabolic syndrome
- artificial intelligence
- stress induced
- light emitting
- walled carbon nanotubes