Visualization of methylglyoxal in living cells and diabetic mice model with a 1,8-naphthalimide-based two-photon fluorescent probe.
Visualization of methylglyoxal in living cells and diabetic mice model with a 1,8-naphthalimide-based two-photon fluorescent probe.
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DOI：
10.1039/c8sc02578a
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发表时间：
2018-09-07
期刊：
影响因子：
8.4
通讯作者：
Peng X
中科院分区：
文献类型：
--
作者：
Yang M;Fan J;Zhang J;Du J;Peng X
设计了一种基于1，8-萘酰亚胺的双光子荧光探针，用于观察活细胞和糖尿病小鼠模型中的MGO水平。甲基乙二醛（MGO）是一种二羰基代谢产物，是研究最多的晚期糖基化终产物（AGEs）前体，其水平升高也与各种病理学相关。因此，开发有效的方法来监测活细胞和体内的MGO是非常重要的，以确定相关疾病的发病和进展。在此，我们设计并合成了一种称为NI-OPD的内质网靶向双光子荧光探针，用于检测MGO，具有高选择性，灵敏度和低毒性。该探针已成功应用于监测活细胞和糖尿病小鼠模型中的MGO。双光子荧光图像证实糖尿病小鼠肝、肾组织中内源性MGO含量高于正常小鼠。此外，它揭示了在用二甲双胍（一种广泛使用的降血糖药物）治疗后，糖尿病小鼠显示肝和肾组织中的MGO浓度降低。因此，NI-OPD可以作为一个有用的工具，用于检测MGO和研究MGO之间的关系和生物系统中的病理和生物过程。
A 1,8-naphthalimide-based two-photon fluorescent probe was designed to visualize MGO levels in living cells and a diabetic mice model. Methylglyoxal (MGO), a dicarbonyl metabolite, is the most studied precursor of advanced glycation end-products (AGEs) and its elevated levels have also been associated with various pathologies. Hence, the development of effective methods for monitoring MGO in live cells and in vivo is of great importance for ascertaining the onset and progress of related diseases. Herein, we designed and synthesized an endoplasmic reticulum-targeting two-photon fluorescent probe called NI-OPD for the detection of MGO with high selectivity, sensitivity, and hypotoxicity. The probe was successfully applied for monitoring MGO in living cells and a diabetic mice model. The two-photon fluorescence images confirmed that the endogenous MGO in the liver and kidney tissues of diabetic mice is higher than that of normal mice. Furthermore, it revealed that after treatment with metformin, a widely used hypoglycemia drug, the diabetic mice showed a decreased concentration of MGO in liver and kidney tissues. Thus, NI-OPD may serve as a useful tool for the detection of MGO and for studying the relationships between MGO and pathological and biological processes in biosystems.
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发表时间：
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期刊：
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影响因子：
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