Isobaric tags for relative and absolute quantification (iTRAQ)-based quantitative analysis of the salivary proteome during healthy pregnancy and pregnancy gingivitis.

AIM: The present study aimed to investigate the salivary proteome profiles of pregnant women with gingivitis (PG) or without gingivitis (HP) and non-pregnant healthy controls (HC) by employing iTRAQ-based proteomics. MATERIALS AND METHODS: Saliva samples were collected from 30 Chinese women comprising 10 subjects in each of the three groups (PG, HP, and HC). The samples were subjected to iTRAQ-based proteomics analysis, and ELISA was performed to validate the results. The subsequent observations were validated in a cohort of 48 subjects. RESULTS: Pathways associated with neutrophil-mediated immune response and antioxidant defence mechanism were significantly higher in PG than HC. The abundance of salivary cystatins (S, SA, and SN) and antimicrobials were significantly decreased in PG and HP, while cystatin C and D were additionally decreased in PG. Cystatin C was mapped to all the major catabolic pathways and was the most re-wired protein in pregnancy gingivitis. Further validation demonstrated cystatin C to be significantly lower in PG than HC. CONCLUSIONS: While the decrease in levels of salivary cystatins and antimicrobial proteins may predispose healthy pregnant women to pregnancy gingivitis, it may cause persistence of inflammation in pregnant women with gingivitis.

Neonatal amygdalae and hippocampi are influenced by genotype and prenatal environment, and reflected in the neonatal DNA methylome.

The amygdala and hippocampus undergo rapid development in early life. The relative contribution of genetic and environmental factors to the establishment of their developmental trajectories has yet to be examined. We performed imaging on neonates and examined how the observed variation in volume and microstructure of the amygdala and hippocampus varied by genotype, and compared with prenatal maternal mental health and socioeconomic status. Gene × Environment models outcompeted models containing genotype or environment only to best explain the majority of measures but some, especially of the amygdaloid microstructure, were best explained by genotype only. Models including DNA methylation measured in the neonate umbilical cords outcompeted the Gene and Gene × Environment models for the majority of amygdaloid measures and minority of hippocampal measures. This study identified brain region-specific gene networks associated with individual differences in fetal brain development. In particular, genetic and epigenetic variation within CUX1 was highlighted.