Maternal serum neonicotinoids during early-mid pregnancy and congenital heart diseases in offspring: An exploratory...

Experimental evidence has indicated a correlation between in-utero exposure to neonicotinoid pesticides (NEOs) and adverse birth outcomes in mammals. However, the distribution of NEO exposure during human pregnancy, as well as its association with congenital heart diseases (CHDs), the most common birth defects, are unclear. Our purpose was to explore the distribution of and contributing factors to NEO exposure in pregnant women during early-mid pregnancy and to assess the associations between NEOs and CHDs. This nested case-control study was conducted within an ongoing prospective birth cohort study and enrolled 141 CHD singletons and their 282 individually matched controls. Six "parent" NEOs and three NEO metabolites were measured in maternal serum collected at an average gestational age of 16 weeks, using liquid chromatography-tandem mass spectrometry. Logistic regression was used to quantify the NEOs-CHDs associations and explore potential contributing factors to serum NEO levels in controls. N-desmethyl acetamiprid (N-dm-ACE) and imidacloprid (IMI) were the most frequently detected NEOs, found in 100% and 20% of maternal sera, respectively. We did not find a statistically significant association between total NEOs and overall CHDs. However, there was a trend towards a higher risk of septal defects with greater serum NEOs (ORs ranged from 1.80 to 2.36), especially nitro-containing NEOs represented by IMI. Pregnant women with lower education had elevated serum total NEOs compared to women with higher education (OR = 48.39, 95% CI: 23.48-99.72). Pregnant women were primarily exposed to N-dm-ACE and IMI during early-mid pregnancy. Gestational exposure to NEOs may be associated with an increased risk of septal defects, but the evidence is limited at present. Education is a potential contributing factor to NEO exposure in pregnant women. Larger and more precise studies with longitudinal biospecimen collection, are recommended to validate our exploratory findings.