Gadolinium-Based Neuroprognostic Magnetic Resonance Imaging Agents Suppress COX-2 for Prevention of Reperfusion Injury after Stroke
- Authors
- Kim, Hee-Kyung; Lee, Jung-Jin; Choi, Garam; Sung, Bokyung; Kim, Yeoun-Hee; Baek, Ah Rum; Kim, Soyeon; Song, Huijin; Kim, Minsup; Cho, Art E.; Lee, Gang Ho; Moon, Sungjun; Kang, Min-Kyoung; Lee, Jae Jun; Chang, Yongmin
- Issue Date
- 9-7월-2020
- Publisher
- AMER CHEMICAL SOC
- Citation
- JOURNAL OF MEDICINAL CHEMISTRY, v.63, no.13, pp.6909 - 6923
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF MEDICINAL CHEMISTRY
- Volume
- 63
- Number
- 13
- Start Page
- 6909
- End Page
- 6923
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/54409
- DOI
- 10.1021/acs.jmedchem.0c00285
- ISSN
- 0022-2623
- Abstract
- Advancements in recanalization therapies have rendered reperfusion injury an important challenge for stroke management. It is essential to work toward effective therapeutics that protect the ischemic brain from reperfusion injury. Here, we report a new concept of neuroprognostic agents, which combine molecular diagnostic imaging and targeted neuroprotection for treatment of reperfusion injury after stroke. These neuroprognostic agents are inflammation-targeted gadolinium compounds conjugated with nonsteroidal anti-inflammatory drugs (NSAIDs). Our results demonstrated that gadolinium-based MRI contrast agents conjugated with NSAIDs suppressed the increase in cyclooxygenase-2 (COX-2) levels, ameliorated glial activation, and neuron damage that are phenotypic for stroke by mitigating neuroinflammation, which prevented reperfusion injury. In addition, this study showed that the neuroprognostic agents are promising T(1 )molecular MRI contrast agents for detecting precise reperfusion injury locations at the molecular level. Our results build on this new concept of neuroprognostics as a novel management strategy for ischemia-reperfusion injury, combining neuroprotection and molecular diagnostics.
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Collections - Graduate School > Department of Biotechnology and Bioinformatics > 1. Journal Articles
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