Prenatal fipronil sulfone exposure is associated with altered fetal liver-function biomarkers: Evidence integrating epidemiology, network toxicology, and molecular docking.

Journal: Ecotoxicology and environmental safety
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Abstract

Fipronil and its metabolites (FPM) are widely detected in environmental and biological matrices, but human evidence of developmental hepatotoxicity remains scarce. We quantified six fipronil-related compounds, five liver-function biomarkers, and four inflammatory cytokines in umbilical cord serum from 187 neonates. Fipronil sulfone was detected in all samples (median: 101.6 pg/mL). In covariate-adjusted linear models, each 10-fold increase in fipronil sulfone was associated with higher alanine aminotransferase (ALT) [β = 3.73, 95% CI: (1.58-5.88)], aspartate aminotransferase (AST) [β = 13.13, 95% CI: (2.15-24.12)], gamma-glutamyl transferase (GGT) [β = 51.50, 95% CI: (3.74-99.25)], and alkaline phosphatase (ALP) [β = 93.52, 95% CI: (44.61-142.44)]. The associations with ALT and ALP remained statistically significant after FDR correction. Bayesian kernel machine regression and machine-learning models consistently prioritized fipronil sulfone as an important mixture component associated with these biomarkers. Exploratory BBMD analysis estimated benchmark concentrations associated with a 10% change in liver-function biomarkers. Mediation analyses indicated that interleukin-1β partially mediated the associations with ALT and AST (16.25% and 19.75%, respectively), whereas tumor necrosis factor-α mediated the associations with ALT, AST, and ALP (11.21%-20.91%). Network toxicology highlighted inflammatory, oxidative-stress, PI3K-Akt, MAPK, and TNF signaling pathways, and molecular docking predicted favorable binding of fipronil sulfone to TNF, ALB, and INS. These findings associate cord-serum fipronil sulfone concentrations with altered cord-serum liver biomarkers and identify inflammatory signaling as a potential intermediate pathway. Longitudinal and experimental studies are needed to confirm temporality and biological causation.

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