0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Gut & Microbiome Nanoplastics Sign in to save

An integrated analysis of the fecal metabolome and metagenome reveals the distinct effects of differentially charged nanoplastics on the gut microbiota-associated metabolites in mice

The Science of The Total Environment 2023 7 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 50 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Miaomiao Teng, Xiaoli Zhao, Miaomiao Teng, Miaomiao Teng, Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Yunxia Li, Miaomiao Teng, Miaomiao Teng, Miaomiao Teng, Miaomiao Teng, Miaomiao Teng, Miaomiao Teng, Miaomiao Teng, Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Miaomiao Teng, Xiaoli Zhao, Xiaoli Zhao, Miaomiao Teng, Miaomiao Teng, Miaomiao Teng, Miaomiao Teng, Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Miaomiao Teng, Miaomiao Teng, Miaomiao Teng, Miaomiao Teng, Miaomiao Teng, Yunxia Li, Yunxia Li, Miaomiao Teng, Miaomiao Teng, Miaomiao Teng, Miaomiao Teng, Wentao Zhu, Lingfeng Zhou, Xiaoli Zhao, Wentao Zhu, Fengchang Wu Fengchang Wu Wentao Zhu, Miaomiao Teng, Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Lihui Zhao, Lihui Zhao, Lihui Zhao, Fengchang Wu Lihui Zhao, Lingfeng Zhou, Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Miaomiao Teng, Miaomiao Teng, Hongyuan Yan, Fengchang Wu Fengchang Wu Fengchang Wu Fengchang Wu Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Lihui Zhao, Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Fengchang Wu Fengchang Wu Fengchang Wu Miaomiao Teng, Wentao Zhu, Lihui Zhao, Lihui Zhao, Lihui Zhao, Lihui Zhao, Yunxia Li, Jiaqi Sun, Miaomiao Teng, Miaomiao Teng, Fengchang Wu Jiaqi Sun, Jiaqi Sun, Lingfeng Zhou, Fengchang Wu Xiaoli Zhao, Wentao Zhu, Fengchang Wu Xiaoli Zhao, Xiaoli Zhao, Xiaoli Zhao, Fengchang Wu Fengchang Wu Fengchang Wu Fengchang Wu Yunxia Li, Fengchang Wu Xiaoli Zhao, Lingfeng Zhou, Miaomiao Teng, Fengchang Wu Fengchang Wu Lingfeng Zhou, Xiaoli Zhao, Xiaoli Zhao, Wentao Zhu, Wentao Zhu, Xiaoli Zhao, Fengchang Wu Miaomiao Teng, Miaomiao Teng, Miaomiao Teng, Miaomiao Teng, Miaomiao Teng, Lingfeng Zhou, Fengchang Wu Wentao Zhu, Lingfeng Zhou, Xiaoli Zhao, Fengchang Wu Wentao Zhu, Hongyuan Yan, Hongyuan Yan, Fengchang Wu Xiaoli Zhao, Fengchang Wu Lingfeng Zhou, Wentao Zhu, Fengchang Wu Fengchang Wu Fengchang Wu Wentao Zhu, Fengchang Wu Xiaoli Zhao, Fengchang Wu Xiaoli Zhao, Fengchang Wu Fengchang Wu Fengchang Wu

Summary

Researchers found that nanoplastics with different electrical charges affect gut bacteria and metabolites in distinct ways in mice. The study identified specific fecal biomarkers linked to intestinal changes caused by nanoplastic exposure, suggesting these markers could help predict intestinal impacts in a charge-dependent manner.

Polymers
Models

Whether nanoplastics with differential charges cause intestinal impairment via distinct mechanisms remains unclear. We investigated the relationship between fecal metabolites and the gut microbiome, and potential biomarkers thereof, in mice following exposure to differentially charged polystyrene nanoplastics (PS-NPs). Metagenomic analysis revealed that exposure to differentially charged PS-NPs resulted in alterations in the abundances of Bilophila_wadsworthia, Helicobacter apodemus, and Helicobacter typhlonius. A total of 237 fecal metabolites were significantly altered in mice that exhibited intestinal impairment, and these included 10 gut microbiota-related fecal metabolites that accurately discriminated impaired intestinal samples from the control. Additionally, the specific gut microbiome-related fecal metabolite-based model approach for the prediction of intestinal impairment in mice had an area under the curve (AUC) of 1.0 in the PS (without charge) group, an AUC of 0.94 in the PS-NH (positive charge) group, and an AUC of 0.86 in the PS-COOH (negative charge) group. Thus, the model showed promising evaluable accuracy for the prediction of intestinal impairment induced by nanoplastics in a charge-specific manner. Our study demonstrates that the fecal metabolome of mice with intestinal impairment following exposure to differentially charged nanoplastics is associated with changes in the gut microbiome. The identified biomarkers have potential application for the detection of intestinal impairment after exposure to negative, positive, or noncharged nanomaterials.

Sign in to start a discussion.

Share this paper