Analytical Chemistry · 2023 · 21 citations · 40 references
Life SciencesBiochemistryToxicologyAquatic ToxicologyBiochemical ToxicologyMetabolomicsMass SpectrometryMass Spectrometry-based MetabolomicsMicroplastic PollutionMicroplastic ToxicityMicroplastic ToxicologyPlastic PollutionGlycerophospholipid MetabolismMicroplastic EcotoxicologyMicroplastic-associated HepatotoxicityNanoplastic ToxicityOxidative Stress InjuryProline BiosynthesisProline MetabolismToxic Metabolites
Understanding the metabolic disorders induced by nano- and microplastics in aquatic organisms at the molecular level could help us understand the potential toxicity of nano- and microplastics more thoroughly and provide a fundamental scientific basis for regulating the usage and management of plastic products. In this research, the effect of polypropylene nanoplastics (PP-NPs) and microplastics (PP-MPs) on metabolites in the tilapia liver was comprehensively investigated by internal extractive electrospray ionization mass spectrometry (iEESI-MS). A partial least-squares discriminant analysis (PLS-DA) and a one-component analysis of variance (ANOVA) were used for selecting 46 differential metabolites, including phospholipids, amino acids, peptides, carbohydrates, alkaloids, purines, pyrimidines, and nucleosides. Pathway enrichment analysis showed significant effects on glycerophospholipid metabolism, arginine and proline metabolism, and aminoacyl-tRNA biosynthesis after tilapia were exposed to PP-N/MPs. Dysregulation of these metabolites is mainly reflected in the possible induction of hepatitis, oxidative stress, and other symptoms. The application of iEESI-MS technology without sample pretreatment to the study of metabolic disorders in aquatic organisms under the interference of nano- and microplastics provides a promising analytical method for environmental toxicology research.
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Kara Lavender Law, Richard C. Thompson · Science · 2014 · 1.4K citations
Natural Sciences, Environmental Sciences, Marine Sciences +14
Chang-Bum Jeong, Eun-Ji Won, Hye-Min Kang et al. · Environmental Science & Technology · 2016 · 1.2K citations