期刊
BIOLOGICAL & PHARMACEUTICAL BULLETIN
卷 38, 期 3, 页码 470-475出版社
PHARMACEUTICAL SOC JAPAN
DOI: 10.1248/bpb.b14-00781
关键词
metabolomics; paraquat; support vector machine; human
资金
- fund of the key construction academic subject (medical innovation) of Zhejiang Province [11-CX26]
- National Natural Science Foundation of China [81401558]
- Zhejiang Provincial Natural Science Foundation of China [LY14H230001]
- Science and Technology Committee of Shanghai Municipality, China [KF1405]
Numerous people die of paraquat (PQ) poisoning every year in the world. Although several studies regarding paraquat (PQ) poisoning have been conducted, the metabolic changes in plasma remain unknown. In this study, the metabolomics of 15 PQ poisoned patients with plasma PQ concentrations in excess of 0.1 mu g/mL and 16 healthy volunteers were investigated. The plasma samples were evaluated through the use of gas chromatography-mass spectrometry (GC/MS) and analyzed by partial least-squares discriminant analysis (PLS-DA). Based on the metabolomics data, a support vector machine (SVM) discrimination model was developed. The results showed the plasma levels of urea, glucose oxime and L-phenylalanine decreased and cholesterol increased in PQ poisoned patients in comparison to healthy volunteers. The SVM discrimination model was developed, and performed with a high degree of accuracy, to distinguish PQ poisoned patients from healthy volunteers. In conclusion, metabolic pathways including the urea cycle, and amino acid, glucose, and cholesterol metabolism were impaired after PQ poisoning. An SVM discrimination model, based on metabolomics data, was established and may become a new powerful tool for the diagnosis of PQ poisoning.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据