Mapping Drug-Induced Neuropathy through In-Situ Motor Protein Tracking and Machine Learning

Zhigao Yi, Huxin Gao, Xianglin Ji, Xin-Yi Yeo, Suet Yen Chong, Yujie Mao, Baiwen Luo, Chao Shen, Sanyang Han, Jiong-Wei Wang, Sangyong Jung, Peng Shi, Hongliang Ren, Xiaogang Liu

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


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.
Original languageEnglish (US)
JournalJournal of the American Chemical Society
StatePublished - Sep 1 2021
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2021-09-03
Acknowledged KAUST grant number(s): OSR-2018-CRG7-3736
Acknowledgements: This work was supported by the Agency for Science, Technology and Research (A*STAR) (A1983c0038), the National Research Foundation, Prime Minister’s Office, Singapore, under the NRF Investigatorship program (Award No. NRF-NRFI05-2019-0003), the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No. OSR-2018-CRG7-3736, the NUS NANONASH Program (NUHSRO/2020/002/NanoNash/LOA; R143000B43114), the Singapore Ministry of Health’s National Medical Research Council (NMRC/OFYIRG/0081/2018), and the National Natural Science Foundation of China (21771135, 21871071). S.Y.C. would like to thank the generous support from the ESR/TENG GL PhD scholarship program. We thank Akihiro Yamanaka, Angelo All, John Jia En Chua, Yinghua Qu, Liangliang Liang, Yuxia Liu, Sirui Liu, and Di Fu for helpful discussions.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

ASJC Scopus subject areas

  • Biochemistry
  • Colloid and Surface Chemistry
  • General Chemistry
  • Catalysis


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