Association between blood lipid levels in early pregnancy and urinary organophosphate metabolites in the Japan Environment and Children’s Study

• Published in: Environment international 2024-08, Vol.190, p.108932, Article 108932
• Main Authors: Morimoto, Nobuhisa, Nishihama, Yukiko, Onishi, Kazunari, Nakayama, Shoji F.
• Format: Article
• Language: English
• Subjects: Atherosclerosis; Bayesian theory; blood lipids; body mass index; environment; high density lipoprotein cholesterol; Japan; LDL cholesterol; low density lipoprotein cholesterol; metabolites; odds ratio; Organophosphate pesticide; organophosphorus pesticides; overweight; Pregnancy; progeny; regression analysis; underweight
• ISSN: 0160-4120; 1873-6750; 1873-6750
• DOI: 10.1016/j.envint.2024.108932

•Associations between urinary concentrations of organophosphate pesticide metabolites (dialykylphosphate) and blood lipid levels were examined in pregnant women.•Higher diethylphosphate level was associated with higher LDL-C level among overweight women.•Organophosphate pesticide exposure may be a novel risk factor for dyslipidemia. High low-density lipoprotein cholesterol levels (LDL-C) during pregnancy have been associated with adverse pregnancy and offspring outcomes. While previous studies have suggested a potential link between organophosphate pesticide (OPP) exposure and higher LDL-C in the general population and agricultural workers, the relationship in pregnant women and the effect of body mass index on this relationship remain unclear. We examined the association between the urinary concentrations of OPP metabolites (dialkylphosphates) and blood lipid levels in pregnant women. We used data from the Japan Environment and Children’s Study, which included 5,169 pregnant women with urinary dialkylphosphate data. We examined the association between urinary concentrations of six dialkylphosphates (DEP, DETP, DEDTP, DMP, DMTP, DMDTP) and blood lipid levels (LDL-C, total cholesterol, high-density lipoprotein cholesterol, and triglycerides) during the first trimester using multiple linear regression under a Bayesian paradigm. We examined the association between high LDL-C, defined as ≥90th percentile of LDL-C, and urinary dialkylphosphate concentrations, using multiple logistic regression under a Bayesian paradigm. These analyses were repeated in underweight, normal-weight, and overweight participants. DEP, DMP, and DMTP were detected in >50 % of the participants. Multiple linear regression analyses did not show associations between LDL-C and these dialkylphosphates. Stratified analyses showed a positive association between DEP and LDL-C in overweight women (beta coefficient = 2.13, 95 % credible interval = 0.86–3.38, probability of direction (PD) = 100 %); however, the association was not significant (percentage in region of practical equivalence (% in ROPE) = 84.0). Higher DEP was significantly associated with high LDL-C (odds ratio = 1.32, 95 % credible interval = 1.13–1.55, PD = 100 %, % in ROPE = 0.2). Among overweight pregnant women in the first trimester, higher urinary DEP concentrations were associated with high LDL-C. The effects of OPP on blood lipid profiles merit further investigation.