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

Abstract

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
DOIs
StatePublished - Sep 1 2021
Externally publishedYes

ASJC Scopus subject areas

  • Biochemistry
  • Colloid and Surface Chemistry
  • Chemistry(all)
  • Catalysis

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