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Predictive metabolomic signatures for safety assessment of three plastic nanoparticles using intestinal organoids

The Science of The Total Environment 2023 31 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 60 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Peiyu Guo, Lihui Xuan, Wensen Yi, Jinhua Luo, Hua Guan, Ping‐Kun Zhou, Can Qu, Ruixue Huang, Jingjing Yang, Yuhui Yan

Summary

Scientists used lab-grown miniature intestines (organoids) from mice to study how three types of nanoplastics affect gut cells. All three plastic types reduced energy production in cells, caused oxidative stress, and disrupted important cell-signaling pathways. The study found that metabolic profiling could detect subtle damage from nanoplastics even before obvious cell harm appeared, offering a sensitive new way to assess the gut health risks of plastic particle exposure.

Models
Study Type In vitro

Nanoplastic particles are pervasive environmental contaminants with potential health risks, while mouse intestinal organoids provide accurate in vitro models for studying these interactions. Metabolomics, especially through LC-MS, enables detailed cellular response studies, and there's a novel interest in comparing metabolic changes across nanoparticle species using gut organoids. This study used a mouse intestinal organoid combined with cell model to explore the differences in metabolites and toxicity mechanisms induced by exposure to three nanoplastics (PS, PTFE, and PMMA). The results showed that PS, PTFE, and PMMA exposure reduced mitochondrial membrane potential, intracellular ROS accumulation and oxidative stress, and inhibited the AKT/mTOR signaling pathway. Non-targeted metabolomics results confirmed that three types of nanoplastic particles regulate cellular status by regulating fatty acid metabolism, nucleotide metabolism, necroptosis and autophagy pathways. More importantly, these representative metabolites were further validated in model groups after mouse intestinal organoids and HCT116 cells were exposed to the respective NPs, indicating that organoid metabolomics results can be used to effectively predict toxicity. Untargeted metabolomics is sensitive enough to detect subtle metabolomic changes when functional cellular analysis shows no significant differences. Overall, our study reveals the underlying metabolic mechanism of NPs-induced intestinal organoid toxicity and provides new insights into the possible adverse consequences of NPs.

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