Targeted and Untargeted Urinary Metabolomic Analyses of Organophosphate Pesticides Exposure and
Hsin-Yun Tseng1, Chi-Jen Lo2,3, Boopathi Subramani1
1Institute of Environmental and Occupational Health Sciences, School of Medicine, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong Street, Taipei, 112, Taiwan.
Introduction:
Exposure to organophosphate pesticides (OPs) has been associated with increased oxidative stress and a higher risk of attention-deficit/hyperactivity disorder (ADHD). However, metabolic insights underlying ADHD and the potential pathophysiological role of OPs exposure remain limited.
Objective:
This study characterized urinary metabolomic profiles associated with ADHD and examined their associations with OPs exposure and oxidative stress.
Methods:
Urinary metabolites from 67 children with ADHD and 98 controls were analyzed using nuclear magnetic resonance (NMR) spectroscopy and ultra-perforamnce liquid chromatography quadrupole time-of-flight mass spectrometry analysis (UPLC-QTOF-MS). Dimethyl phosphate (DMP) and 4-hydroxy-2-nonenal-mercapturic acid (HNE-MA) were used as biomarkers of OPs exposure and oxidative stress, respectively. Children were classified into high- and low-exposure/concentration groups based on DMP or HNE-MA levels.
Results:
Urinary metabolomic profiles differed significantly between children with ADHD and controls. Several metabolites also differed between children with high and low DMP or HNE-MA levels. Metabolites involved in the tricarboxylic acid cycle were significantly higher in ADHD children and positively correlated with both DMP and HNE-MA. Pathway analysis suggested alterations in energy-related and amino acid metabolic pathways. Stepwise logistic regression and receiver operating characteristic curve analysis identified an 11-compound biomarker panel with good discriminatory performance in the discovery (AUC: 0.8450) and validation (AUC: 0.8748) stages.
Conclusion:
This metabolomic analysis suggests that OPs exposure and oxidative stress may be associated with metabolic changes in ADHD, particularly in energy metabolism and amino acid pathways. The identified biomarker panel may help distinguish children with ADHD from controls. Larger studies with multiple exposure assessments are warranted.
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