Screening drug-induced liver injury through two independent parameters of lipid droplets and peroxynitrite with a π-extended coumarin-based NIR fluorescent probe

被引:11
|
作者
Zhao, Bo [1 ]
Zheng, Shuo [1 ]
Liu, Qingqing [1 ]
Dong, Chao [1 ]
Dong, Baoli [1 ]
Fan, Chunhua [1 ]
Lu, Zhengliang [1 ]
Yoon, Juyoung [2 ]
机构
[1] Univ Jinan, Sch Chem & Chem Engn, Jinan 250022, Shandong, Peoples R China
[2] Ewha Womans Univ, Dept Chem & Nanosci, Seoul 03760, South Korea
基金
新加坡国家研究基金会;
关键词
Fluorescence Imaging; Peroxynitrite; Lipid droplets; Drug-induced liver injury; FATTY LIVER; HEPATOTOXICITY; MITOCHONDRIA; DESIGN; CELLS; MODEL;
D O I
10.1016/j.snb.2024.135659
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Drug -induced liver injury (DILI) or hepatotoxicity is a significant concern for public health. However, relying on a single biomarker for early DILI diagnosis poses a high risk of false positives. In this study, we reported a nearinfrared fluorescent probe ( BCOU-S ), which enables independent visualization of LDs status and ONOO - fluctuations. BCOU-S was constructed by combining a pi-extended coumarin core as the NIR fluorophore and a methyl thioether group as the ONOO - recognition site. BCOU-S could emit 655 nm NIR fluorescence excited at 518 nm, with a low detection limit of 27 nM and a large Stokes shift of 137 nm. The response mechanism to ONOO - was confirmed by molecular orbital density function theory (DFT) and time -dependent DFT (TD-DFT) calculations. BCOU-S monitors LDs status through co -localization, oleic acid (OA) incubation, and starvation induction experiments. It sensitively distinguishes subtle changes in ONOO - induced by different drugs in DILI cell models. In the acetaminophen (APAP)-induced DILI model, BCOU-S reveals significant LDs accumulation and increase in ONOO - levels, establishing a clear time -effect and dose -effect relationship. Simultaneously monitoring ONOO - levels and LDs accumulation, BCOU-S proves to be a more sensitive and effective tool for early DILI prevention, effectively avoiding false positives caused by changes in a single parameter. BCOU-S is a useful tool for further monitoring early DILI development.
引用
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页数:11
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