Communications Biology · 2021 · 54 citations · 66 references
Veterinary MedicineBiochemistryToxicologyBiochemical ToxicologyMolecular ToxicologyPesticide ToxicologyBiomonitoring Of Pesticide ExposureHepatotoxicity Of PesticidesInsecticide ToxicityInsecticide ToxicologyMechanisms Of Pesticide ToxicityToxicokinetics Of PesticidesBiomarkers Of Pesticide ToxicityGenome-wide Methylation AnalysisGenome-wide Methylation ProfilingGut-liver Axis DysfunctionPesticide-induced Gut ToxicityPesticide-induced Liver InjuryToxicology Testing For PesticidesTryptophan Metabolism
Health effects of pesticides are not always accurately detected using the current battery of regulatory toxicity tests. We compared standard histopathology and serum biochemistry measures and multi-omics analyses in a subchronic toxicity test of a mixture of six pesticides frequently detected in foodstuffs (azoxystrobin, boscalid, chlorpyrifos, glyphosate, imidacloprid and thiabendazole) in Sprague-Dawley rats. Analysis of water and feed consumption, body weight, histopathology and serum biochemistry showed little effect. Contrastingly, serum and caecum metabolomics revealed that nicotinamide and tryptophan metabolism were affected, which suggested activation of an oxidative stress response. This was not reflected by gut microbial community composition changes evaluated by shotgun metagenomics. Transcriptomics of the liver showed that 257 genes had their expression changed. Gene functions affected included the regulation of response to steroid hormones and the activation of stress response pathways. Genome-wide DNA methylation analysis of the same liver samples showed that 4,255 CpG sites were differentially methylated. Overall, we demonstrated that in-depth molecular profiling in laboratory animals exposed to low concentrations of pesticides allows the detection of metabolic perturbations that would remain undetected by standard regulatory biochemical measures and which could thus improve the predictability of health risks from exposure to chemical pollutants.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Salmon provides fast and bias-aware quantification of transcript expression
Rob Patro, Geet Duggal, Michael I. Love et al. · Nature Methods · 2017 · 13.7K citations · Full text