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The Association Between Microplastics and Microbiota in Placentas and Meconium: The First Evidence in Humans

Environmental Science & Technology 2022 176 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.
Shaojie Liu, Shaojie Liu, Shaojie Liu, Guo Jialin, Xinyuan Liu, Guo Jialin, Guo Jialin, Guo Jialin, Xinyuan Liu, Ruoru Yang, Xinyuan Liu, Xinyuan Liu, Xinyuan Liu, Ruoru Yang, Ruoru Yang, Ruoru Yang, Hangwei Wang, Ruihua Dong Xinyuan Liu, Hangwei Wang, Hangwei Wang, Ruihua Dong Yongyun Sun, Yongyun Sun, Bo Chen, Yongyun Sun, Yongyun Sun, Bo Chen, Bo Chen, Ruoru Yang, Ruoru Yang, Ruoru Yang, Ruoru Yang, Bo Chen, Shaojie Liu, Ruihua Dong Ruihua Dong Shaojie Liu, Ruihua Dong Bo Chen, Bo Chen, Shaojie Liu, Ruihua Dong Ruihua Dong

Summary

Researchers analyzed placentas and meconium from 18 mother-infant pairs in Shanghai and found microplastics present in both, providing some of the first direct evidence of microplastic exposure during pregnancy and at birth. They also discovered correlations between microplastic presence and changes in microbial communities in these tissues. The study raises important questions about whether early-life microplastic exposure could influence infant health and development.

Pregnancy and infancy are vulnerable times for detrimental environmental exposures. However, the exposure situation of microplastics (MPs) for mother-infant pairs and the adverse health effect of MPs are largely unknown. Therefore, we explored MP exposure in placentas and meconium samples, and the potential correlation of MP exposure with microbiota in placentas and meconium. A total of 18 mother-infant pairs were effectively recruited from Shanghai, China. The study required pregnant women to provide placentas and meconium samples. An Agilent 8700 laser infrared imaging spectrometer (LDIR) was applied to identify MPs. Microbiota detection was identified by 16S rRNA sequencing. Sixteen types of MPs were found in all matrices, and polyamide (PA) and polyurethane (PU) were the major types we identified. MPs detected in samples with a size of 20-50 μm were more than 76.46%. At the phylum level, both placenta and meconium microbiota were mainly composed of Proteobacteria, Bacteroidota, and Firmicutes. We also found some significant differences between placenta and meconium microbiota in β-diversity and gut composition. Additionally, we found polystyrene was inversely related with the Chao index of meconium microbiota. Polyethylene was consistently inversely correlated with several genera of placenta microbiota. The total MPs, PA, and PU consistently impacted several genera of meconium microbiota. In conclusion, MPs are ubiquitous in placentas and meconium samples, indicating the wide exposure of pregnant women and infants. Moreover, our findings may support a link between high concentration of MPs and microbiota genera in placentas and meconium. Additionally, there were several significant associations between the particle size of MPs in 50-100 μm and meconium microbiota.

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