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动态胱氨酸尿症诊断化学网络

A Dynamic Chemical Network for Cystinuria Diagnosis.

机构信息

Department of Biological Chemistry and Molecular Modeling, IQAC-CSIC, Jordi Girona 18-26, 08034, Barcelona, Spain.

出版信息

Angew Chem Int Ed Engl. 2018 Jul 9;57(28):8421-8424. doi: 10.1002/anie.201802189. Epub 2018 Apr 20.

Abstract

The study of molecular networks represents a conceptual revolution in chemistry. Building on previous knowledge and after understanding the rules of non-covalent interactions, the design of stimulus-responsive chemical systems is possible. Herein we report a new strategy, based on the reorganization of a dynamic chemical network that generates new fluorescent associations in the presence of cysteine or cystine. The binding and sensing units are encoded in the components that dynamically assemble and disassemble responding to external stimuli as a successful tool to detect both cysteine and cystine in aqueous media. Moreover, the dynamic sensing system works in human urine, as a prospective application for cystinuria diagnosis.

摘要

分子网络的研究代表了化学领域的概念性革命。在利用先前知识并理解非共价相互作用的规则之后,就有可能设计出对刺激有响应的化学系统。在此,我们报告了一种新策略,该策略基于动态化学网络的重组,在半胱氨酸或胱氨酸存在下会生成新的荧光络合物。结合和传感单元编码在动态组装和分解的组件中,这些组件对外界刺激做出响应,是成功用于检测水相介质中半胱氨酸和胱氨酸的工具。此外,该动态传感系统可在人尿中运行,有望用于胱氨酸尿症的诊断。

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