Details

Autor(en) / Beteiligte

• Zhang, Weiwei
• Huo, Taoguang
• Li, Aihong
• Wu, Xinyu
• Feng, Cong
• Liu, Jieyu
• Jiang, Hong

Titel

Identification of neurotoxicity markers induced by realgar exposure in the mouse cerebral cortex using lipidomics

Ist Teil von

• Journal of hazardous materials, 2020-05, Vol.389, p.121567, Article 121567

Ort / Verlag

Netherlands: Elsevier B.V

Erscheinungsjahr

2020

Quelle

MEDLINE

Beschreibungen/Notizen

• [Display omitted] •Nontargeted lipidomics was first used to detect the changes of lipid levels in realgar exposure mice model.•A total of 34 lipid subclasses including 1603 lipid molecules were detected in the cerebral cortex of mice.•The LPE, LPC, PE, PC, and PS lipid subclasses were related to neurotoxicity induced by realgar.•The SM (d36:2), PE (18:2/22:6) and PE (36:3) could be used as early sensitive markers of neurotoxicity induced by realgar.•It was first reported that realgar induced neurotoxicity by decreasing SOD and increasing MDA. Realgar is a traditional Chinese medicine containing arsenic and has neurotoxicity. This study used realgar exposure mice model, neurobehavioral tests, analytical chemistry, molecular biology and nontargeted lipidomics to explore the mechanism of realgar damages the nervous system. The arsenic contained in realgar passed through the BBB and accumulated in the brain. Neurons, synapses and myelin showed abnormal changes in the cerebral cortex. The number of autophagosomes were incresed as well as levels of MDA, Lp-PLA2, and cPLA2 but the CAT level was significant reduced. Finally, the cognition and memory of mice were decreased. Nontargeted lipidomics detected 34 lipid subclasses including 1603 lipid molecules. The levels of the LPC and LPE were significantly increased. Under the condition of variable importance for the projection (VIP)>1 and P < 0.05, only 28 lipid molecules satisfied the criteria. The lipid molecular markers SM (d36:2), PE (18:2/22:6) and PE (36:3) which were filtered by receiver operating characteristic (ROC) curve (AUC>0.8 or AUC<0.2) were used to identify the neurotoxicity induced by realgar. Therefore, realgar induces neurotoxicity through exacerbating oxidative damage and lipid dysfunction. Providing research basis for the clinical diagnosis and treatment of realgar-induced neurotoxicity.