Exposure to silver nanoparticles induces immunological dysfunction in pregnant mice.
Ling ChenHaifang WuLulu LePengfei YangFen FuWenting LiuHengyi XuPublished in: Environmental toxicology (2020)
The adverse outcomes of silver nanoparticles (AgNPs) on pregnancy have been studied in murine animals. However, the potential toxicity of AgNPs to immune balance, which is essential for maintaining a normal pregnancy, still requires further exploration. Therefore, this study assessed the effect of AgNPs on the immune balance during gestation time. Pregnant mice were given a dose of 1 mg/kg of AgNPs and silver ion on gestation days 3.5 to 9.5 by tail vein injection. Results showed that the AgNPs and silver ion decreased the number of CD4+ CD25+ Treg cells which were the important cells in the immune system, thereby disrupting the balance of normal immune tolerance function, activated the inflammatory responses, together with the reductive production of placental immunoregulatory genes, and the expression of inflammatory factors in the placenta in the Ag-treated groups increased. These effects increased the absorption rate. Furthermore, the inflammatory signaling pathway p38MAPK/AP-1/MMP-9 in the placenta was activated, indicating that Ag induced inflammation through this signaling pathway. All results indicated that undesirable pregnancy outcome caused by AgNPs could be happened by stimulating immunological dysfunction. Therefore, the potential risks to embryogenesis exposure to AgNPs that caused immune imbalance should be given sufficient attention.
Keyphrases
- silver nanoparticles
- induced apoptosis
- oxidative stress
- signaling pathway
- cell cycle arrest
- pi k akt
- preterm birth
- pregnant women
- diabetic rats
- preterm infants
- pregnancy outcomes
- human health
- poor prognosis
- epithelial mesenchymal transition
- working memory
- endoplasmic reticulum stress
- quantum dots
- type diabetes
- gestational age
- genome wide
- metabolic syndrome
- gene expression
- risk assessment
- climate change
- cell proliferation
- adipose tissue
- skeletal muscle
- high glucose
- highly efficient
- genome wide identification
- drug induced
- solid state
- bioinformatics analysis