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Hemicyanine‐Based Near‐Infrared Activatable Probes for Imaging and Diagnosis of Diseases
Abstract
Molecular activatable probes with near‐infrared (NIR) fluorescence play a critical role in in vivo imaging of biomarkers for drug screening and disease diagnosis. With structural diversity and high fluorescence quantum yields, hemicyanine dyes have emerged as a versatile scaffold for the construction of activatable optical probes. This Review presents a survey of hemicyanine‐based NIR activatable probes (HNAPs) for in vivo imaging and early diagnosis of diseases. The molecular design principles of HNAPs towards activatable optical signaling against various biomarkers are discussed with a focus on their broad applications in the detection of diseases including inflammation, acute organ failure, skin diseases, intestinal diseases, and cancer. This progress not only proves the unique value of HNAPs in preclinical research but also highlights their high translational potential in clinical diagnosis.
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The Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics
Hardy, J., & Selkoe, D. J. (2002) · Science · doi:10.1126/science.1072994 · Cited by 13,864
The gut microbiota shapes intestinal immune responses during health and disease
Round, J. L., & Mazmanian, S. K. (2009) · Nature Reviews Immunology · doi:10.1038/nri2515 · Cited by 5,029
Renal clearance of quantum dots
Soo Choi, H., Liu, W., Misra, P., Tanaka, E., Zimmer, J. P., Itty Ipe, B., Bawendi, M. G., & Frangioni, J. V. (2007) · Nature Biotechnology · doi:10.1038/nbt1340 · Cited by 4,476
Recent progresses in small-molecule enzymatic fluorescent probes for cancer imaging
Liu, H.-W., Chen, L., Xu, C., Li, Z., Zhang, H., Zhang, X.-B., & Tan, W. (2018) · Chemical Society Reviews · doi:10.1039/c7cs00862g · Cited by 948
Antidepressants in inflammatory bowel disease
Mikocka-Walus, A., Ford, A. C., & Drossman, D. A. (2020) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-019-0259-y · Cited by 93
Cited by
Near-infrared (NIR) fluorescence-emitting small organic molecules for cancer imaging and therapy
Li, H., Kim, Y., Jung, H., Hyun, J. Y., & Shin, I. (2022) · Chemical Society Reviews · doi:10.1039/d2cs00722c · Cited by 356
Zeng, S., Liu, X., Kafuti, Y. S., Kim, H., Wang, J., Peng, X., Li, H., & Yoon, J. (2023) · Chemical Society Reviews · doi:10.1039/d2cs00799a · Cited by 341
Near infrared fluorescent probes for detecting and imaging active small molecules
Ding, C., & Ren, T. (2023) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2023.215080 · Cited by 247
Acceptor engineering for NIR-II dyes with high photochemical and biomedical performance
Ji, A., Lou, H., Qu, C., Lu, W., Hao, Y., Li, J., Wu, Y., Chang, T., Chen, H., & Cheng, Z. (2022) · Nature Communications · doi:10.1038/s41467-022-31521-y · Cited by 183
Qin, Z., Ren, T., Zhou, H., Zhang, X., He, L., Li, Z., Zhang, X., & Yuan, L. (2022) · Angewandte Chemie International Edition · doi:10.1002/anie.202201541 · Cited by 140
Metadata
- Authors
- Zeng, Z., Liew, S. S., Wei, X., & Pu, K.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2021-08-11
- Volume
- 60
- Issue
- 51
- Pages
- 26454-26475
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W3180659190
- Cited by
- 359
- References
- 5
- FWCI
- 19.49
- Type
- journal article
- Language
- en
- Open access
- closed
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