Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, 410082, Changsha, P. R. China.
Nat Commun. 2022 Apr 25;13(1):2216. doi: 10.1038/s41467-022-29894-1.
Afterglow luminescence is an internal luminescence pathway that occurs after photo-excitation, holds great promise for non-background molecular imaging in vivo, but suffer from poor quantitative ability owing to luminescent attenuation over time. Moreover, the inert structure and insufficient reactive sites of current afterglow materials make it hard to design activatable afterglow probes for specific detection. Here, we report a ratiometric afterglow luminescent nanoplatform to customize various activatable afterglow probes for reliable quantification and molecular imaging of specific analytes, such as NO, ONOO or pH. Notably, these afterglow probes can not only address the attenuation of afterglow intensity and eliminate the interference of factors (e.g., laser power, irradiation time, and exposure time), but also significantly improve the imaging reliability in vivo and signal-to-background ratios (~1200-fold), both of which enable more reliable quantitative analysis in biological systems. Moreover, as a proof-of-concept, we successfully design an NO-responsive ratiometric afterglow nanoprobe, RAN1. This nanoprobe can monitor the fluctuations of intratumoral NO, as a biomarker of macrophage polarization, making it possible to real-time dynamically evaluate the degree cancer immunotherapy, which provides a reliable parameter to predict the immunotherapeutic effect.
余晖发光是一种光激发后发生的内部发光途径,在体内非背景分子成像方面具有很大的应用潜力,但由于发光随时间衰减,其定量能力较差。此外,目前余晖材料的惰性结构和反应活性位点不足,使得难以设计用于特定检测的可激活余晖探针。在这里,我们报告了一种比率型余晖发光纳米平台,可以定制各种可激活余晖探针,用于可靠定量和特定分析物(如 NO、ONOO 或 pH)的分子成像。值得注意的是,这些余晖探针不仅可以解决余晖强度衰减和消除因素干扰(例如,激光功率、辐照时间和曝光时间)的问题,而且还可以显著提高体内成像的可靠性和信号背景比(~1200 倍),这两者都使得在生物系统中进行更可靠的定量分析成为可能。此外,作为概念验证,我们成功设计了一种对 NO 响应的比率型余晖纳米探针 RAN1。该纳米探针可以监测肿瘤内 NO 的波动,作为巨噬细胞极化的生物标志物,从而可以实时动态评估癌症免疫治疗的程度,为预测免疫治疗效果提供了可靠的参数。