期刊
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
卷 143, 期 36, 页码 14907-14915出版社
AMER CHEMICAL SOC
DOI: 10.1021/jacs.1c07312
关键词
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资金
- Agency for Science, Technology and Research (A*STAR) [A1983c0038]
- National Research Foundation, Prime Minister's Office, Singapore [NRF-NRFI05-2019-0003]
- King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) [OSR-2018-CRG7-3736]
- NUS NANONASH Program [NUHSRO/2020/002/NanoNash/LOA
- R143000B43114]
- Singapore Ministry of Health's National Medical Research Council [NMRC/OFYIRG/0081/2018]
- National Natural Science Foundation of China [21771135, 21871071]
- ESR/TENG GL PhD scholarship program
Chemotherapy can induce neurotoxicity, affecting patient quality of life. There is a lack of research on predicting, identifying, and offsetting drug-induced neurotoxicity. New imaging technology can help track intraneuronal transport in real time, improving the efficiency of diagnosing and treating neurotoxicity.
Chemotherapy can induce toxicity in the central and peripheral nervous systems and result in chronic adverse reactions that impede continuous treatment and reduce patient quality of life. There is a current lack of research to predict, identify, and offset drug-induced neurotoxicity. Rapid and accurate assessment of potential neuropathy is crucial for cost-effective diagnosis and treatment. Here we report dynamic near-infrared upconversion imaging that allows intraneuronal transport to be traced in real time with millisecond resolution, but without photobleaching or blinking. Drug-induced neurotoxicity can be screened prior to phenotyping, on the basis of subtle abnormalities of kinetic characteristics in intraneuronal transport. Moreover, we demonstrate that combining the upconverting nanoplatform with machine learning offers a powerful tool for mapping chemotherapy-induced peripheral neuropathy and assessing drug-induced neurotoxicity.
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