Organic NIR-II molecule with long blood half-life for in vivo dynamic vascular imaging

Real-time monitoring of vessel dysfunction is of great significance in preclinical research. Optical bioimaging in the second near-infrared (NIR-II) window provides advantages including high resolution and fast feedback. However, the reported molecular dyes are hampered by limited blood circulation...

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Published inNature communications Vol. 11; no. 1; pp. 3102 - 11
Main Authors Li, Benhao, Zhao, Mengyao, Feng, Lishuai, Dou, Chaoran, Ding, Suwan, Zhou, Gang, Lu, Lingfei, Zhang, Hongxin, Chen, Feiya, Li, Xiaomin, Li, Guangfeng, Zhao, Shichang, Jiang, Chunyu, Wang, Yan, Zhao, Dongyuan, Cheng, Yingsheng, Zhang, Fan
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 18.06.2020
Nature Publishing Group
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Summary:Real-time monitoring of vessel dysfunction is of great significance in preclinical research. Optical bioimaging in the second near-infrared (NIR-II) window provides advantages including high resolution and fast feedback. However, the reported molecular dyes are hampered by limited blood circulation time (~ 5–60 min) and short absorption and emission wavelength, which impede the accurate long-term monitoring. Here, we report a NIR-II molecule (LZ-1105) with absorption and emission beyond 1000 nm. Thanks to the long blood circulation time (half-life of 3.2 h), the fluorophore is used for continuous real-time monitoring of dynamic vascular processes, including ischemic reperfusion in hindlimbs, thrombolysis in carotid artery and opening and recovery of the blood brain barrier (BBB). LZ-1105 provides an approach for researchers to assess vessel dysfunction due to the long excitation and emission wavelength and long-term blood circulation properties. Optical bioimaging in the second near-infrared (NIR-II, 1000–1700 nm) window exhibits abundant advantages. Here the authors report an organic NIR-II molecule with long blood circulation half-life time for continuous real-time monitoring of dynamic vascular processes.
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ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-020-16924-z