Integration of ultra-high-pressure liquid chromatography-tandem mass spectrometry with machine learning for identifying fatty acid metabolite biomarkers of ischemic stroke.

Journal: Chemical communications (Cambridge, England)
Published Date: Jun 18, 2020

Abstract

We report for the first time the integration of ultra-high-pressure liquid chromatography-tandem mass spectrometry with machine learning for identifying fatty acid metabolite biomarkers of ischemic stroke. In particular, we develop an optimal model to discriminate ischemic stroke patients from healthy persons with 100% sensitivity and 93.18% specificity. This research may facilitate understanding the roles of fatty acid metabolites in stroke occurrence, holding great potential in clinical stroke diagnosis.

Authors

  • Lijian Zhang
    Analytical Center, Neurology Department of Affiliated Hospital, Institute of Neurology, Guangdong Medical University, Zhanjiang, Guangdong 524023, China. caichun2006@tom.com chenyusen925@163.com.
  • Fei Ma
    School of Big Data Intelligent Diagnosis & Treatment Industry, Taiyuan University, Taiyuan, China.
  • Ao Qi
    Analytical Center, Neurology Department of Affiliated Hospital, Institute of Neurology, Guangdong Medical University, Zhanjiang, Guangdong 524023, China. caichun2006@tom.com chenyusen925@163.com.
  • Lulu Liu
    Analytical Center, Neurology Department of Affiliated Hospital, Institute of Neurology, Guangdong Medical University, Zhanjiang, Guangdong 524023, China. caichun2006@tom.com chenyusen925@163.com.
  • Junjie Zhang
    Department of Immunology, School of Basic Medical Sciences, Anhui Medical University, Hefei, 230032, PR China.
  • Simin Xu
    Analytical Center, Neurology Department of Affiliated Hospital, Institute of Neurology, Guangdong Medical University, Zhanjiang, Guangdong 524023, China. caichun2006@tom.com chenyusen925@163.com.
  • Qisheng Zhong
    Shimadzu Global COE for Application & Technical Development, Guangzhou, Guangdong 510010, China.
  • Yusen Chen
    Analytical Center, Neurology Department of Affiliated Hospital, Institute of Neurology, Guangdong Medical University, Zhanjiang, Guangdong 524023, China. caichun2006@tom.com chenyusen925@163.com.
  • Chun-Yang Zhang
    College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Shandong Provincial Key Laboratory of Clean Production of Fine Chemicals, Shandong Normal University Jinan 250014 China cyzhang@sdnu.edu.cn.
  • Chun Cai
    Guangdong Provincial Engineering Research Center of Intelligent Low-carbon Pollution Prevention and Digital Technology & Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, School of Environment, South China Normal University, Guangzhou 510006, P. R. China.

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