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Updated: May 18, 2026

Imaging Approaches to Assessments of Toxicological Oxidative Stress Using Genetically-encoded Fluorogenic Sensors
Published on: February 7, 2018
eNOS gene polymorphisms modify the association of PM(10) with oxidative stress
Jin Hee Kim1, Yoon-Hyeong Choi, Sanghyuk Bae
1Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul 110-799, Republic of Korea. jhkim777@snu.ac.kr
Abstract:
Previous studies have suggested that air pollution increases various health outcomes through oxidative stress and oxidative stress-related genes modify the relationship between air pollution and health outcomes. Therefore, we evaluated the effect of PM(10) on the levels of malondialdehyde (MDA), oxidative stress biomarker, and the effect modification by genetic polymorphisms of eNOS, oxidative stress-related gene, in the 560 Korean elderly. We obtained urine samples repeatedly from participants during five medical examinations between 2008 and 2010 and all ambient air pollutant concentration data from the Korea National Institute of Environmental Research air quality monitoring system. We measured urinary levels of MDA to assess oxidative stress and genotyped eNOS (rs1799983, rs2853796, and rs7830). Mixed-effect model was used to estimate the effect of PM(10) on the level of oxidative stress biomarker and their modification by genotypes. PM(10) showed apparent positive effect on MDA level after adjusting for age, sex, BMI, cotinine level, temperature, dew point, levels of SO(2), O(3), NO(2), and CO, and season (p=0.0133). Moreover, the association of PM(10) with MDA was found only in participants with eNOS GG genotype for rs1799983 (p=0.0107), TT genotype for rs2853796 (p=0.0289), or GT genotype for rs7830 (p=0.0158) and in participants with a set of risky haplotypes (GTT, GTG, GGT, and TGT) (p=0.0093). Our results suggest that PM(10) affect oxidative stress in the elderly and eNOS genotype affect the oxidative stress level in regard of exposure to PM(10).
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