4.8 Article

Highly Sensitive Near-Infrared Imaging of Peroxynitrite Fluxes in Inflammation Progress

期刊

ANALYTICAL CHEMISTRY
卷 93, 期 5, 页码 3035-3041

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.0c05118

关键词

-

资金

  1. National Natural Science Foundation of China [21804033, 21625503]
  2. Application Foundation Frontier Project by the Wuhan Science and Technology Bureau [2018060401011320]

向作者/读者索取更多资源

The article presents a highly sensitive NIR fluorescence probe DDAO-PN for in vivo detection of ONOO- in inflammation. The probe demonstrates rapid response and high sensitivity in detecting ONOO-, which has the potential to advance research on inflammation-related diseases.
Inflammation is an important protection reaction in living organisms associated with many diseases. Since peroxynitrite (ONOO-) is engaged in the inflammatory processes, illustrating the key nexus between ONOO- and inflammation is significant. Due to the lack of sensitive ONOO- in vivo detection methods, the research still remains at its infancy. Herein, a highly sensitive NIR fluorescence probe DDAO-PN for in vivo detection of ONOO- in inflammation progress was reported. The probe responded to ONOO- with significant NIR fluorescence enhancement at 657 nm (84-fold) within 30 s in solution. Intracellular imaging of exogenous ONOO- with the probe demonstrated a 68-fold fluorescence increase (F/F-0). Impressively, the probe can in vivo detect ONOO- fluxes in LPS-induced rear leg inflammation with a 4.0-fold fluorescence increase and LPS-induced peritonitis with an 8.0-fold fluorescence increase The remarkable fluorescence enhancement and quick response enabled real-time tracking of in vivo ONOO- with a large signal-to-noise (S/N) ratio. These results clearly denoted that DDAO-PN was able to be a NIR fluorescence probe for in vivo detection and high-fidelity imaging of ONOO- with high sensitivity and will boost the research of inflammation-related diseases.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据