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An Inherently Kidney-targeting Near-infrared Fluorophore Based Probe for Early Detection of Acute Kidney Injury by Fangqin Wang; Xuefeng Jiang; Huaijiang Xiang; Ning Wang; Yunjing Zhang; Xi Yao; Ping Wang; Hao Pan; Lifang Yu; Yunfeng Cheng; Yongzhou Hu; Weiqiang Lin; Xin Li is a Engineering article available to read on EtoBox.
What is An Inherently Kidney-targeting Near-infrared Fluorophore Based Probe for Early Detection of Acute Kidney Injury about?
Acute kidney injury (AKI) is common in hospital patients. Delayed diagnosis and treatment of AKI due to the lack of efficient early diagnosis is an important cause of its high mortality. While fluorescence imaging seems promising to non-intrusively interrogate AKI-related biomarkers, the low kidney contrast of many fluorophores conferred by their relatively low abundance of distribution in the kidney limits their application for AKI detection. Herein, we discovered a near-infrared fluorophore with inherent kidney-targeting ability. Based on this fluorophore, a fluorogenic probe (KNP-1) was developed by targeting peroxynitrite (ONOO), which is upregulated at the early onset of AKI. KNP-1 exhibits desirable kidney distribution after intravenous administration and is fluorescent only after activation by ONOO. These properties lead to excellent kidney contrast imaging results. KNP-1 is capable of detecting both nephrotoxin-induced and ischemia-reperfusion injury-induced AKI in live mice. Temporally resolved imaging of AKI-disease model mice with KNP-1 suggests a gradual increase in renal ONOO levels with disease progression. Notably, the upregulation of ONOO can be observed at least 24
Who reads An Inherently Kidney-targeting Near-infrared Fluorophore Based Probe for Early Detection of Acute Kidney Injury?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Fangqin Wang; Xuefeng Jiang; Huaijiang Xiang; Ning Wang; Yunjing Zhang; Xi Yao; Ping Wang; Hao Pan; Lifang Yu; Yunfeng Cheng; Yongzhou Hu; Weiqiang Lin; Xin Li
- Publisher
- Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0956-5663)
- Published
- 2020
- Language
- EN
- Field
- Engineering (Physical Sciences)