Target Functionalized Carbon Dot Nanozymes with Dual-Model Photoacoustic and Fluorescence Imaging for Visual Therapy in Atherosclerosis.
Qiao ChenXinmei DuanYao YuRongrong NiGuojing SongXu YangLi ZhuYuan ZhongKun ZhangKai QuXian QinWei WuPublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2023)
Multifunctional nanomedicines have been used in atherosclerosis theranostics. Herein, phosphatidylserine-specific peptide CLIKKPF-functionalized carbon-dots nanozymes (pep-CDs) are reported for specific and efficient noninvasive theranostic of atherosclerosis. Surprisingly, pep-CDs are discovered to not only inherit the inherent properties of carbon dots (CDs), including deep-red fluorescence emission, photoacoustic response, and superoxide dismutase-like antioxidant, and anti-inflammatory activities but also possess the ability to target recognition on foam cells and target localization on plaques due to the specific interaction of CLIKKPF with phosphatidylserine on the membrane outer surface of foam cells. Furthermore, the target localization effect of pep-CDs vastly promotes the efficient accumulation of CDs in plaque, thus maximizing AS theranostic of CDs. Interestingly, pep-CDs could be developed to image plaque for monitoring atherosclerosis pathological progression in real-time resulting from the different content of foam cells. This work on the one hand proposes a simple and feasible strategy to construct theranostic nanoplatform employing only a single functional unit (i.e., multifunctional CDs) to simplify the fabrication procedure, on the other hand, highlights the advantages of the active target auxiliary mode for atherosclerosis theranostic applications.
Keyphrases
- quantum dots
- fluorescence imaging
- photodynamic therapy
- induced apoptosis
- cardiovascular disease
- energy transfer
- cell cycle arrest
- visible light
- anti inflammatory
- drug delivery
- oxidative stress
- endoplasmic reticulum stress
- coronary artery disease
- type diabetes
- nitric oxide
- signaling pathway
- hydrogen peroxide
- machine learning
- cell proliferation
- mass spectrometry
- tandem mass spectrometry