RESUMO
The construction of coassembled peptide nanoprobes based on structural adaptation provides an effective template for stable monitoring of the molecular events in physiological and pathological processes. This also greatly expands their applications in biomedicine, such as multimodal combined diagnosis and treatment. However, the insufficient understanding of the physicochemical properties and structural features of different molecules still makes it difficult to construct the coassembled probes with mutually reinforcing functions, leading to unpredictable effects. Here, we showed how to utilize the π-π stacking network on ß-sheets formed by PD-L1-targeting peptides to capture small molecules with ferroptosis functions, thus, coassembling them into a visual probe with synergistic effects. Compared with individual components, the coassembled strategy could significantly improve the stability of the nanoprobe, inducing stronger ferroptosis effects and immune checkpoint blocking effects, and track and reflect the process. This study provides new insights into the design of multicomponent collaborative coassembly systems with biological effects.
Assuntos
Ferroptose , Peptídeos , Ferroptose/efeitos dos fármacos , Humanos , Peptídeos/química , Antígeno B7-H1/metabolismo , Antígeno B7-H1/química , Nanopartículas/química , Corantes Fluorescentes/químicaRESUMO
Nitric oxide (NO) plays critical roles in both physiology and pathology, serving as a significant signaling molecule. Recent investigations have uncovered the pivotal role of lysosome as a critical organelle where intracellular NO exists and takes function. In this study, we developed a novel ratiometric fluorescent probe called XL-NO and modified it with a morpholine unit, which followed the intramolecular charge transfer (ICT) mechanism. The probe could detect lysosomal nitric oxide with high selectivity and sensitivity. The probe XL-NO contained a secondary amine moiety that could readily react with NO in lysosomes, leading to the formation of the N-nitrosation product. The N-nitroso structure enhanced the capability in push-pull electron, which obviously led to the change of fluorescence from 621 nm to 521 nm. In addition, XL-NO was discovered to have some evident advantages, such as significant ratiometric signal (I521/I621) change, strong anti-interference ability, good biocompatibility, and a low detection limit (LOD = 44.3 nM), which were crucial for the detection of lysosomal NO. To evaluate the practical application of XL-NO, NO imaging experiments were performed in both living cells and zebrafish. The results from these experiments confirmed the feasibility and reliability of XL-NO for exogenous/endogenous NO imaging and lysosome targeting.
Assuntos
Corantes Fluorescentes , Óxido Nítrico , Animais , Reprodutibilidade dos Testes , Peixe-Zebra , LisossomosRESUMO
Many important biological species have been identified as cancer biomarkers and are gradually becoming reliable targets for early diagnosis and late therapeutic evaluation of cancer. However, accurate quantitative detection of cancer biomarkers remains challenging due to the complexity of biological systems and the diversity of cancer development. Fluorescent probes have been extensively utilized for identifying biological substances due to their notable benefits of being non-invasive, quickly responsive, highly sensitive and selective, allowing real-time visualization, and easily modifiable. This review critiques fluorescent probes used for detecting and imaging cancer biomarkers over the last five years. Focuses are made on the design strategies of small-molecule and nano-sized fluorescent probes, the construction methods of fluorescence sensing and imaging platforms, and their further applications in detection of multiple biomarkers, including enzymes, reactive oxygen species, reactive sulfur species, and microenvironments. This review aims to guide the design and development of excellent cancer diagnostic fluorescent probes, and promote the broad application of fluorescence analysis in early cancer diagnosis.