Yi-Xin Wang1, Chong Liu2, Ying Shen3, Qi Wang4, An Pan1, Pan Yang2, Ying-Jun Chen1, Yan-Ling Deng2, Qing Lu5, Li-Ming Cheng3, Xiao-Ping Miao1, Shun-Qing Xu5, Wen-Qing Lu2, Qiang Zeng6. 1. Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China. 2. Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China; Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China. 3. Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China. 4. Department of Pathology, Bengbu Medical College, Anhui, PR China. 5. Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China. 6. Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China; Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China. Electronic address: zengqiang506@163.com.
Abstract
BACKGROUND: Bisphenol F (BPF) and bisphenol S (BPS) are increasingly used as alternatives to endocrine disrupting chemical bisphenol A (BPA). Evidence from in vitro and animal studies demonstrates that BPA, BPF and BPS induce oxidative stress, a proposed mechanism that is relevant to various adverse health effects. Evaluation in humans is hampered by the potentially high within-subject variability of urinary measurements. OBJECTIVE: To evaluate the variability and associations of levels of BPA, BPS, BPF and 3 oxidative stress markers [i.e., 8-hydroxy-2-deoxyguanosine (8-OHdG), 8-iso-prostaglandin F2α (8-isoPGF2α) and 4-hydroxy-2-nonenal-mercapturic acid (HNE-MA)] in urine collected on multiple occasions over 3 months. METHOD: A total of 529 spot urine samples, including 88 first morning voids (FMVs) and 24-h specimens, were gathered from 11 adult men on days 0, 1, 2, 3, 4, 30, 60 and 90 and analyzed for BPA, BPF, BPS, 8-OHdG, 8-isoPGF2α and HNE-MA. Intraclass correlation coefficients (ICCs) were estimated to characterize the reproducibility of urinary bisphenols and oxidative stress markers, and linear mixed models were applied to assess the associations between markers of exposure and response. RESULTS: BPA and BPF were detected in ≥85% of the spot samples, while BPS in 13% of the samples. High degrees of within-subject variability were found for BPA, BPF, 8-OHdG, 8-isoPGF2α and HNE-MA in spot samples, FMVs and 24-h specimens (creatinine-corrected ICCs ≤ 0.37). The sensitivities were low-to-moderate (0.30-0.63) when using single spot samples or FMVs to predict high (>27th, or 36th percentile) 3-month average urinary levels of BPA, BPF, 8-OHdG, 8-isoPGF2α and HNE-MA. Collecting repeated specimens at different time points improved the accuracy of classification for markers of exposure and response. Elevated urinary BPA and BPF were associated with significantly higher levels of oxidative stress markers. CONCLUSIONS: Repeated urinary specimens are required to characterize bisphenol exposure levels and the oxidative stress status of individuals. Exposure to BPA and BPF may partly contribute to the elevated urinary levels of oxidative stress makers in adult men.
BACKGROUND:Bisphenol F (BPF) and bisphenol S (BPS) are increasingly used as alternatives to endocrine disrupting chemical bisphenol A (BPA). Evidence from in vitro and animal studies demonstrates that BPA, BPF and BPS induce oxidative stress, a proposed mechanism that is relevant to various adverse health effects. Evaluation in humans is hampered by the potentially high within-subject variability of urinary measurements. OBJECTIVE: To evaluate the variability and associations of levels of BPA, BPS, BPF and 3 oxidative stress markers [i.e., 8-hydroxy-2-deoxyguanosine (8-OHdG), 8-iso-prostaglandin F2α (8-isoPGF2α) and 4-hydroxy-2-nonenal-mercapturic acid (HNE-MA)] in urine collected on multiple occasions over 3 months. METHOD: A total of 529 spot urine samples, including 88 first morning voids (FMVs) and 24-h specimens, were gathered from 11 adult men on days 0, 1, 2, 3, 4, 30, 60 and 90 and analyzed for BPA, BPF, BPS, 8-OHdG, 8-isoPGF2α and HNE-MA. Intraclass correlation coefficients (ICCs) were estimated to characterize the reproducibility of urinary bisphenols and oxidative stress markers, and linear mixed models were applied to assess the associations between markers of exposure and response. RESULTS:BPA and BPF were detected in ≥85% of the spot samples, while BPS in 13% of the samples. High degrees of within-subject variability were found for BPA, BPF, 8-OHdG, 8-isoPGF2α and HNE-MA in spot samples, FMVs and 24-h specimens (creatinine-corrected ICCs ≤ 0.37). The sensitivities were low-to-moderate (0.30-0.63) when using single spot samples or FMVs to predict high (>27th, or 36th percentile) 3-month average urinary levels of BPA, BPF, 8-OHdG, 8-isoPGF2α and HNE-MA. Collecting repeated specimens at different time points improved the accuracy of classification for markers of exposure and response. Elevated urinary BPA and BPF were associated with significantly higher levels of oxidative stress markers. CONCLUSIONS: Repeated urinary specimens are required to characterize bisphenol exposure levels and the oxidative stress status of individuals. Exposure to BPA and BPF may partly contribute to the elevated urinary levels of oxidative stress makers in adult men.
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