Lipid metabolism disorders associated with dioxin exposure in a cohort of Chinese male workers revealed by a comprehensive lipidomics study

Cadmium influence on lipid metabolism in Sprague–Dawley rats through linoleic acid and glycerophospholipid metabolism pathways

“…These hydrolysates had effects on various signal pathways which can combine with G protein-coupled receptors on the cell membrane and regulated intracellular signal transduction, participating in the pathogenesis of various diseases such as immunity, inflammation, and tumor in the human body. [25] While, a serious inflammatory response of the body could destroy the output of cellular cholesterol and aggravate the cholesterol accumulation in the liver, which could probably lead to the increase of Cholesterol ester (CE). In this study, 22:6 Cholesterol ester was upregulated.…”

“…The main organ coefficient of rat and the concentration of cadmium (Cd) in organs (n = 6). 2C) indicating that the developed model wasn't overfitting, [25] which meant the OPLS-DA model was of good predictive ability for the screening of potential differential metabolites.…”

Machine learning for screening active metabolites with metabolomics in environmental science

“…Machine learning is the potential to aid in the development of species-specific metabolic pathways and metabolic responses under environmental stress 35,36 . A large number of scientific papers have looked at the toxic effects of environmental pollutants, particularly metals 37 , pesticides 38 , and persistent organic pollutants (POPs) 39 . Previous studies on the toxicological effects of environmental pollutants have focused on physiological and biochemical indicators.…”

“…A large number of scientific papers have looked at the toxic effects of environmental pollutants, particularly metals, 37 pesticides, 38 and persistent organic pollutants (POPs). 39 Previous studies on the toxicological effects of environmental pollutants have focused on physiological and biochemical indicators. Computer-assisted modeling methods such as quantitative structure–activity relationships (QSARs) are a key method to predict the chemical toxicity using structural and physicochemical environmental pollutants.…”