Key Laboratory of Pesticides and Chemical Biology, Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, Chemical Biology Center, College of Chemistry, Central China Normal University, Wuhan, 430079, China.
State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University, Nanjing, 210023, China.
Adv Healthc Mater. 2018 Dec;7(23):e1800973. doi: 10.1002/adhm.201800973. Epub 2018 Oct 24.
To date, small-molecule dye-based probes have been at the forefront of research in biomedical imaging, especially in the second near-infrared (NIR-II) window (1.0-1.7 µm). However, how to precisely regulate the synthesized size of NIR-II organic dye-based probes remains challenging. Moreover, systematic studies on whether the size of NIR-II probes affects optical/pharmacokinetic properties are still rare. Here, an ingenious PEGylation strategy is developed to regulate the self-assembly size of organic dye-based (CH1055 scaffold) NIR-II probes (SCH1-SCH4) from nanoparticles to the single molecule, and the relationship between their size and chemical/physical properties is thoroughly investigated. Based on their own merits, nanoprobe SCH1 (≈170 nm), with outstanding fluorescent brightness (quantum yield ≈0.14%), performs accurate tracing of the lymphatic system as well as identification of vessel networks in mice brains with excellent signal-to-background ratio images. Meanwhile, rapidly excreted SCH4, showing fast and high passive liver tumor uptake and promising tumor/normal tissue ratios (>7), is capable of facilitating precise image-guided tumor surgery, and also demonstrates the first example of the assessment of liver fibrosis in the NIR-II window.
迄今为止,基于小分子染料的探针一直处于生物医学成像研究的前沿,特别是在近红外二区 (NIR-II) 窗口 (1.0-1.7 µm)。然而,如何精确调控基于近红外二区有机染料的探针的合成尺寸仍然具有挑战性。此外,关于探针尺寸是否会影响光学/药代动力学性质的系统研究仍然很少。在这里,开发了一种巧妙的聚乙二醇化策略来调节基于有机染料 (CH1055 支架) 的 NIR-II 探针 (SCH1-SCH4) 的自组装尺寸,从小分子纳米颗粒到单分子,并彻底研究了它们的尺寸与其化学/物理性质之间的关系。基于自身的优势,具有出色荧光亮度 (量子产率≈0.14%) 的纳米探针 SCH1(≈170nm) 能够准确追踪淋巴管系统,并以出色的信号与背景比图像识别小鼠大脑中的血管网络。同时,具有快速排泄特性的 SCH4 表现出快速和高的被动肝肿瘤摄取以及有前景的肿瘤/正常组织比值 (>7),能够促进精确的图像引导肿瘤手术,并且也是在 NIR-II 窗口评估肝纤维化的首例。