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The study of human serum metabolome on the health effects of glyphosate and early warning of potential damage

代谢组 代谢组学 谷胱甘肽 氧化应激 草甘膦 尿素循环 生物 代谢途径 生理学 医学 药理学 生物信息学 新陈代谢 生物化学 生物技术 氨基酸 酶 精氨酸
作者
Qiulan Zhang,Xin Liu,Mengting Gao,Xin Li,Yifei Wang,Yueyue Chang,XueMeng Zhang,Zongli Huo,Zhang Li,Jinjun Shan,Feng Zhang,Baoli Zhu,Weifeng Yao
出处
期刊:Chemosphere [Elsevier BV]
卷期号:298: 134308-134308 被引量:30
标识
DOI:10.1016/j.chemosphere.2022.134308
摘要

Glyphosate is one of the most widely used herbicide with high efficiency, low toxicity and broad-spectrum. In recent decades, increasing evidence suggests that glyphosate may cause adverse health effects on human beings. However, until now, there is little data on the human metabolic changes. Since occupational workers are under greater health risks than ordinary people, the understanding regarding the health effects of glyphosate on occupational workers is very important for the early warning of potential damage. In this study, serum metabolic alterations in workers from three chemical factories were analyzed by gas chromatography-mass spectrometry (GC-MS) to assess the potential health risks caused by glyphosate at the molecular level. It was found that the levels of 27 metabolites changed significantly in the exposed group compared to the controls. The altered metabolic pathways, including amino acid metabolism, energy metabolism (glycolysis and TCA cycle) and glutathione metabolism (oxidative stress), etc., indicated a series of changes occur in health profile of the human body after glyphosate exposure, and the suboptimal health status of human may further evolve into various diseases, such as Parkinson's disease, renal and liver dysfunction, hepatocellular carcinoma, and colorectal cancer. Subsequently, 4 biomarkers (i.e., benzoic acid, 2-ketoisocaproic acid, alpha-ketoglutarate, and monoolein) were identified as potential biomarkers related to glyphosate exposure based on the partial correlation analyses, linear regression analyses, and FDR correction. Receiver-operating curve (ROC) analyses manifested that these potential biomarkers and their combinational pattern had good performance and potential clinical value to assess the potential health risk associated with glyphosate exposure while retaining high accuracy. Our findings provided new insights on mechanisms of health effects probably induced by glyphosate, and may be valuable for the health risk assessment of glyphosate exposure.
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