Department of Chemistry and Biochemistry, Utah State University , Logan, Utah 84322-0300, United States.
Department of Animal, Dairy and Veterinary Sciences, Utah State University , Logan, Utah 84322-4815, United States.
J Am Chem Soc. 2017 Jul 19;139(28):9435-9438. doi: 10.1021/jacs.7b04077. Epub 2017 Jul 5.
Molecular structures capable of intracellular information processing that couple responses from biomarker signals to the release of drug molecules represent intelligent delivery systems. Herein we report a chemophotonically driven, sense-of-logic carbon monoxide-releasing molecule (SL-photoCORM). This extended flavonol motif operates via an AND logic gate by first sensing the cellular environment via detection of thiols and then releasing CO when triggered with visible light and O. Overall, this approach couples the detection of a cellular redox biomarker with the ability to release a small-molecule gasotransmitter known to trigger pathways involved in pro- and anti-inflammatory effects in a dose-dependent manner. Significantly, the fluorescence properties of the flavonol-based SL-photoCORM produce a series of chemophotonic input responses via two photochromatic switches (blue-to-green and green-to-colorless), leading to trackability and spatiotemporal control of CO release. Examination of the O requirements of the CO release step revealed that the SL-photoCORM is suitable for use under conditions of variable cellular levels of O. These combined properties within a single-molecular framework advance the field of CO-releasing molecules by providing feedback on the diversity and complexity of the cellular environment prior to CO release.
能够在细胞内进行信息处理的分子结构,将生物标志物信号的反应与药物分子的释放偶联起来,代表了智能递药系统。本文报道了一种光控感一氧化碳释放分子(SL-photoCORM)。该扩展黄酮醇基序通过首先通过检测巯基来感知细胞环境,然后在可见光和 O 的触发下释放 CO,通过与“与”逻辑门操作。总的来说,这种方法将细胞氧化还原生物标志物的检测与释放已知能够以剂量依赖方式触发参与促炎和抗炎作用的小分子气体递质的能力相结合。重要的是,基于黄酮醇的 SL-photoCORM 的荧光特性通过两个光致变色开关(蓝-绿和绿-无色)产生一系列光化学输入响应,从而实现 CO 释放的可跟踪性和时空控制。对 CO 释放步骤中 O 需求的检查表明,SL-photoCORM 适合在 O 细胞水平变化的条件下使用。这些在单个分子框架内的组合性质通过在 CO 释放之前对细胞环境的多样性和复杂性提供反馈,推进了 CO 释放分子领域的发展。