Illuminating a time-response mechanism in mice liver after PM2.5 exposure using metabolomics analysis
Rongrong Wang1, Xi Han1, Huanhuan Pang2
1State Environmental Protection Key Laboratory of Food Chain Pollution Control, Beijing 100048, China; College of Ecology and Environment, Beijing Technology and Business University, Beijing 100048, China.
Abstract:
PM2.5 is recognized as an atmospheric pollutant that seriously jeopardizes human health. Emerging evidence indicates that PM2.5 exposure is associated with metabolic disorders. Existing epidemiology and toxicology studies on the health effects of PM2.5 usually focused on its different components and doses, the effects on susceptible populations, or the effects of indoor and outdoor pollution. The underlying mechanisms of exposure time are poorly understood. Liver, as the central organ involved in various metabolisms, has special signaling pathways non-existed in lung and cardiovascular systems. Exacerbation in liver by the prolonged exposure of PM2.5 leads to hepatic function disorder. It is therefore essential to elucidate the mechanism underlying hepatotoxicity after PM2.5 exposure from the perspective of time-response relationship. In this study, targeted metabolomics was utilized to explore the hepatic injury in mice after PM2.5 exposure. Our results showed that prolonged exposure of PM2.5 would aggravate liver metabolic disorders. The metabolic process was divided into three phases. In phase I, it was found that PM2.5 exposure disturbed the hepatic urea synthesis. In phase II, oxidative damages and inflammations obviously occurred in liver, which would further cause neurobehavioral disorders and fat deposits. In phase III, the changes of metabolites and metabolic pathways indicated that the liver has been severely damaged, with the accelerated biosynthesis and fat metabolism. Finally, using ROC analysis coupled with their biological functions, 4 potential biomarkers were screened out, with which we established a method to classify and diagnose the progress of liver damage in mice after PM2.5 exposure. In this paper, we not only established the time-response relationship of PM2.5, but also provided new insights for the classification and prediction of the toxic injury stages in mice liver, which provides a ground work for the future drug intervention to prevent oxidative damage of PM2.5.
