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Gao Y, Li L, Zhang X, Wang X, Ji W, Zhao J, Ozaki Y. CTAB-triggered Ag aggregates for reproducible SERS analysis of urinary polycyclic aromatic hydrocarbon metabolites. Chem Commun (Camb) 2019; 55:2146-2149. [DOI: 10.1039/c8cc09008d] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
We have demonstrated a simple SERS assay for urinary hydroxylated polycyclic aromatic hydrocarbons (OH-PAHs) with high sensitivity and reproducibility.
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Affiliation(s)
- Ye Gao
- School of Chemistry, Dalian University of Technology
- Dalian 116024
- P. R. China
| | - Linfang Li
- School of Chemistry, Dalian University of Technology
- Dalian 116024
- P. R. China
| | - Xue Zhang
- School of Chemistry, Dalian University of Technology
- Dalian 116024
- P. R. China
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Dalian University of Technology
- Dalian 116024
| | - Xinnan Wang
- School of Chemistry, Dalian University of Technology
- Dalian 116024
- P. R. China
| | - Wei Ji
- School of Chemistry, Dalian University of Technology
- Dalian 116024
- P. R. China
| | - Jianzhang Zhao
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Dalian University of Technology
- Dalian 116024
- P. R. China
| | - Yukihiro Ozaki
- School of Science and Technology, Kwansei Gakuin University
- Sanda
- Japan
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Hoseini M, Nabizadeh R, Delgado-Saborit JM, Rafiee A, Yaghmaeian K, Parmy S, Faridi S, Hassanvand MS, Yunesian M, Naddafi K. Environmental and lifestyle factors affecting exposure to polycyclic aromatic hydrocarbons in the general population in a Middle Eastern area. Environ Pollut 2018; 240:781-792. [PMID: 29778814 DOI: 10.1016/j.envpol.2018.04.077] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Revised: 04/17/2018] [Accepted: 04/18/2018] [Indexed: 06/08/2023]
Abstract
The aim of this study was to investigate environmental and lifestyle factors affecting exposure to PAHs in the general population in a large city of the Middle East (Tehran) by measuring urinary monohydroxy polycyclic aromatic hydrocarbons (OH-PAHs) and establishing relationships between PAHs exposure and related factors. Urine samples were collected from 222 randomly chosen subjects who were living in the urban area of Tehran, Iran. Subjects were required to complete a detailed questionnaire aimed to document their personal and sociodemographic information, activities, cooking-related appliances, smoking history/exposure, and consumed foodstuff. Identification and quantification of six OH-PAHs was carried out using a gas chromatography with mass spectrometry (GC-MS). The geometric means for 1-OHP, 1-NAP, 2-NAP, 2-FLU, 9-FLU, and 9-PHE for whole population study were 310, 1220, 3070, 530, 330, and 130 ng/g creatinine, respectively. The two naphthalene metabolites contributed on average 77% of the total concentration of six measured OH-PAHs, followed by the 2-FLU, 1-OHP, 9-FLU, and 9-PHE. The most important predictors of urinary PAHs were consumption of grilled/barbecued foods, smoking, and exposure to environmental tobacco smoking. Water pipe smoking was linked to urinary OH-PAH metabolite in a dose-response function. Residential traffic was also related with OH-PAH metabolite concentrations. Other factors including gender, age, exposure to common house insecticides, open burning, and candle burning were found to be statistically associated with the urinary levels of some OH-PAHs. High exposure to PAHs among general population in Middle Eastern large cities and its associated health implications calls for public health measures to reduce PAHs exposure.
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Affiliation(s)
- Mohammad Hoseini
- Research Center for Health Sciences, Institute of Health, Department of Environmental Health, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ramin Nabizadeh
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Juana Maria Delgado-Saborit
- ISGlobal Barcelona Institute for Global Health, Barcelona Biomedical Research Park, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Division of Environmental Health & Risk Management, School of Geography, Earth & Environmental Sciences, University of Birmingham, United Kingdom
| | - Ata Rafiee
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Kamyar Yaghmaeian
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Saeid Parmy
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Sasan Faridi
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Sadegh Hassanvand
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Masud Yunesian
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
| | - Kazem Naddafi
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
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Lai CH, Huang HB, Chang YC, Su TY, Wang YC, Wang GC, Chen JE, Tang CS, Wu TN, Liou SH. Exposure to fine particulate matter causes oxidative and methylated DNA damage in young adults: A longitudinal study. Sci Total Environ 2017; 598:289-296. [PMID: 28445826 DOI: 10.1016/j.scitotenv.2017.04.079] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2017] [Revised: 03/24/2017] [Accepted: 04/11/2017] [Indexed: 06/07/2023]
Abstract
An increased understanding is needed of the physiological effects and plausible biological mechanisms that link PM2.5 (particulate matter with an aerodynamic diameter below 2.5μm) exposure to mortality and morbidities such as atherosclerosis and respiratory disease. PM2.5 causes carcinogenic health effects. Biomonitoring in humans has suggested that 8-oxo-7, 8-dihydro-2-deoxyguanosine (8-oxodG) and N7-methylguanine (N7-MeG) are correlated with oxidative and methylated DNA damage. Thus, it is meaningful to explore the mechanisms of mutagenesis and carcinogenesis associated with oxidative and methylated DNA damage by simultaneously measuring these two markers. We recruited 72 participants from 2 areas (residential and commercial as well as residential and industrial) in the greater Taipei metropolitan area at baseline. Personal samplers were used to collect 24-hour PM2.5-integrated samples. All participants completed an interview, and blood and urine samples were collected the next morning. All collection procedures were repeated twice after a two-month follow-up period. Urinary 8-oxodG and N7-MeG were assayed as biomarkers of oxidative and methylated DNA damage, respectively. Plasma superoxide dismutase (SOD) and glutathione peroxidase-1 (GPX-1) were measured as biomarkers of antioxidants. Urinary 1-hydroxypyrene (1-OHP) was used as a biomarker of exposure to polycyclic aromatic hydrocarbons (PAHs). The mean PM2.5 level was 37.3μg/m3 at baseline. PM2.5 concentrations were higher during winter than during spring and summer. After adjusting for confounds through a generalized estimating equation (GEE) analysis, N7-MeG was significantly increased by 8.1% (β=0.034, 95% CIs=0.001-0.068) per 10μg/m3 increment in PM2.5. 8-oxodG levels were positively correlated with N7-MeG according to both cross-sectional and longitudinal analyses, and 1-OHP was significantly associated with increasing 8-oxodG and N7-MeG concentrations. Exposure to PM2.5 increases methylated DNA damage. The mean level of urinary N7-MeG was 1000-fold higher than that of 8-oxodG.
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Affiliation(s)
- Ching-Huang Lai
- School of Public Health, National Defense Medical Center, Taipei, Taiwan.
| | - Han-Bin Huang
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
| | - Yue-Cune Chang
- Department of Mathematics, Tamkang University, New Taipei City, Taiwan.
| | - Ting-Yao Su
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
| | - Ying-Chuan Wang
- Division of Occupational Medicine, Department of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Gia-Chi Wang
- Division of Occupational Medicine, Department of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
| | - Jia-En Chen
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
| | - Chin-Sheng Tang
- Department of Public Health, College of Medicine, Fu Jen Catholic University, Taipei, Taiwan.
| | - Trong-Neng Wu
- Vice Superintendent Office, Headquarter, Asia University, Taichung, Taiwan.
| | - Saou-Hsing Liou
- Division of Environmental Health and Occupational Medicine, National Health Research Institutes, Miaoli County, Taiwan.
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Rusinek CA, Becker MF, Rechenberg R, Kaval N, Ojo K, Heineman WR. Polymer-coated Boron Doped Diamond Optically Transparent Electrodes for Spectroelectrochemical Sensors. ELECTROANAL 2016. [DOI: 10.1002/elan.201600212] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Cory A. Rusinek
- Department of Chemistry; University of Cincinnati; Cincinnati OH 45221-0172 USA
| | - Michael F. Becker
- Fraunhofer USA; Center for Coating and Diamond Technologies; East Lansing MI 48824-1226 USA
| | - Robert Rechenberg
- Fraunhofer USA; Center for Coating and Diamond Technologies; East Lansing MI 48824-1226 USA
| | - Necati Kaval
- Department of Chemistry; University of Cincinnati; Cincinnati OH 45221-0172 USA
| | - Kolade Ojo
- Department of Chemistry; University of Cincinnati; Cincinnati OH 45221-0172 USA
| | - William R. Heineman
- Department of Chemistry; University of Cincinnati; Cincinnati OH 45221-0172 USA
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Miao Q, Bouchard M, Chen D, Burstyn I, Spinelli JJ, Aronson KJ. Assessing traffic and polycyclic aromatic hydrocarbon exposure in Montreal, Canada. Sci Total Environ 2014; 470-471:945-953. [PMID: 24239815 DOI: 10.1016/j.scitotenv.2013.10.030] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2013] [Revised: 10/07/2013] [Accepted: 10/08/2013] [Indexed: 06/02/2023]
Abstract
INTRODUCTION The International Agency for Research on Cancer classifies specific polycyclic aromatic hydrocarbons (PAHs) as probable carcinogens. This study compares two PAH biomarkers and their relationship with geographic information system (GIS) based traffic density (a proxy of PAH exposure), and explores the determinants of the PAH biomarkers. METHODS A cross-sectional study was conducted in Montreal with 200 volunteers (107 females and 93 males) ages 20 to 53 years. Data were collected by questionnaire, urine samples were used for biomarker analysis, and innovative GIS-based time- and distance-weighted traffic densities (TDWTD) were calculated for all locations of participants during the 48 h prior to urine collection. RESULTS Detection rates of the two biomarkers were greater than 95%. Female participants had higher 1-OHP and 1-OHPG levels than males, and no relationship was detected between TDWTD in 48 h and the two PAH biomarkers. Biomarker levels were related to smoking more than one pack of cigarettes in the previous 48 h, and among non-smokers, barbecued meat consumption increased the level of urinary 1-OHP (exp β: 1.45, 95% CI: 1.07 to 1.98). CONCLUSIONS Both 1-OHP and 1-OHPG can be used to assess the relatively low PAH levels to which the general population is exposed. With the exception of smoking, the impact of PAH exposure factors on the biomarkers is relatively small in this study population.
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Affiliation(s)
- Qun Miao
- Department of Public Health Sciences, Queen's University, Kingston, ON, Canada; Cancer Research Institute, Queen's University, Kingston, ON, Canada
| | - Michèle Bouchard
- Department of Environmental and Occupational Health, Chair in Toxicological Risk Assessment and Management, Université de Montréal, Montreal, QC, Canada
| | - Dongmei Chen
- Department of Geography, Queen's University, Kingston, ON, Canada
| | - Igor Burstyn
- Department of Environmental and Occupational Health, Drexel University, Philadelphia, PA, USA
| | - John J Spinelli
- British Columbia Cancer Agency, Vancouver, BC, Canada; School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Kristan J Aronson
- Department of Public Health Sciences, Queen's University, Kingston, ON, Canada; Cancer Research Institute, Queen's University, Kingston, ON, Canada.
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Huang HB, Lai CH, Chen GW, Lin YY, Jaakkola JJ, Liou SH, Wang SL. Traffic-related air pollution and DNA damage: a longitudinal study in Taiwanese traffic conductors. PLoS One 2012; 7:e37412. [PMID: 22629390 DOI: 10.1371/journal.pone.0037412] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2012] [Accepted: 04/19/2012] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND There is accumulating epidemiologic evidence that exposure to traffic-related air pollutants, including particulate matter (PM) and polyaromatic hydro carbons (PAHs), plays a role in etiology and prognosis of a large scale of illnesses, although the role of specific causal agents and underlying mechanisms for different health outcomes remains unknown. OBJECTIVE Our general objective was to assess the relations between personal exposure to traffic exhausts, in particular ambient PM(2.5) and PAHs, and the occurrence of DNA strand breaks by applying personal monitoring of PM and biomarkers of exposure (urinary 1-hydroxypyrene-glucuronide, 1-OHPG) and effect (urinary 8-hydroxydeoxyguanosine, 8-OHdG and DNA strand breaks). METHODS We recruited 91 traffic conductors and 53 indoor office workers between May 2009 and June 2011 in Taipei City, Taiwan. We used PM(2.5) personal samplers to collect breathing-zone particulate PAHs samples. Spot urine and blood samples after work shift of 2 consecutive days were analyzed for 1-OHPG, 8-OHdG and DNA strand breaks, respectively. Statistical methods included linear regression and mixed models. RESULTS Urinary 8-OHdG levels and the occurrence of DNA strand breaks in traffic conductors significantly exceeded those in indoor office workers in mixed models. Particulate PAHs levels showed a positive association with urinary 1-OHPG in the regression model (β = 0.056, p = 0.01). Urinary 1-OHPG levels were significantly associated with urinary 8-OHdG levels in the mixed model (β = 0.101, p = 0.023). Our results provide evidence that exposure to fine particulates causes DNA damage. Further, particulate PAHs could be biologically active constituents of PM(2.5) with reference to the induction of oxidative DNA damages.
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Deziel NC, Strickland PT, Platz EA, Abubaker S, Buckley TJ. Comparison of standard methods for assessing dietary intake of benzo[a]pyrene. Cancer Epidemiol Biomarkers Prev 2011; 20:962-70. [PMID: 21430297 DOI: 10.1158/1055-9965.epi-10-1344] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Inconsistent presence and strength of associations between dietary benzo[a]pyrene (BaP) exposure and cancers may be due to differences in exposure assessment methods. Thus, we determined correlations of usual meat and BaP intake among three methods: food frequency questionnaires (FFQ), diet diaries, and a biomarker. METHODS Thirty-six nonsmokers were recruited in Baltimore, MD during 2004-2005. Meat and BaP intake estimated from baseline and follow-up FFQs combined with a BaP residue database (FFQ-RD), mean meat and BaP intake estimated from three diet diaries coupled with the residue database (Diary-RD), and mean of three urinary 1-hydroxypyrene glucuronide (1-OHPG) measurements were compared using Spearman correlations. Collections spanned approximately nine months. RESULTS BaP intakes from meat from the baseline [median = 6.4, interquartile range (IQR) = 13.9 ng/d] and follow-up FFQ-RD (median = 7.3, IQR = 35.7 ng/d) were higher than the Diary-RD (median = 1.1, IQR = 7.4 ng/d). Mean 1-OHPG concentration was weakly correlated with mean meat intake (r = 0.33, P = 0.05) and BaP intake from meat (r = 0.27, P = 0.11) from the Diary-RD. Mean BaP intake estimated from the Diary-RD was positively correlated with the follow-up (r = 0.35, P = 0.04) but not baseline (r = 0.20, P = 0.24) FFQ; the converse was true for meat intake. CONCLUSIONS Diary-RD estimates were supported by biomarker measurements, but considerable unexplained variability remained. Limited correlation among the dietary BaP exposure assessment methods could be due to differences in timeframes covered by the assessments, interpersonal variability in metabolism, deficiencies in the residue database, or nondietary exposures to BaP. IMPACT Limited correlation in estimated BaP intake among standard methods may contribute to inconsistent epidemiology of BaP and cancer.
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Affiliation(s)
- Nicole C Deziel
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
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Affiliation(s)
- Tatyana S. Pinyayev
- Department of Chemistry, University of Cincinnati, Cincinnati, Ohio 45221-0172, United States
| | - Carl J. Seliskar
- Department of Chemistry, University of Cincinnati, Cincinnati, Ohio 45221-0172, United States
| | - William R. Heineman
- Department of Chemistry, University of Cincinnati, Cincinnati, Ohio 45221-0172, United States
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Kakimoto K, Toriba A, Ohno T, Ueno M, Kameda T, Tang N, Hayakawa K. Direct measurement of the glucuronide conjugate of 1-hydroxypyrene in human urine by using liquid chromatography with tandem mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci 2008; 867:259-63. [DOI: 10.1016/j.jchromb.2008.04.015] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2008] [Revised: 03/25/2008] [Accepted: 04/12/2008] [Indexed: 10/22/2022]
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Gunier RB, Reynolds P, Hurley SE, Yerabati S, Hertz A, Strickland P, Horn-Ross PL. Estimating exposure to polycyclic aromatic hydrocarbons: a comparison of survey, biological monitoring, and geographic information system-based methods. Cancer Epidemiol Biomarkers Prev 2006; 15:1376-81. [PMID: 16835339 DOI: 10.1158/1055-9965.epi-05-0799] [Citation(s) in RCA: 54] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Our objective was to compare polycyclic aromatic hydrocarbon (PAH) exposure estimates based on survey, biological monitoring, and geographic information system (GIS) methods. The 304 participants in this study supplied a urine sample and completed questionnaires about exposure to potential PAH sources. We assayed urine samples for 1-hydroxypyrene-O-glucuronide (1-OHPG), the major metabolite of pyrene, a common PAH. We used a GIS to estimate traffic exhaust exposure using vehicle count data at the residence and workplace. The five subjects who reported smoking during the 48-hour period had median 1-OHPG concentrations 10-fold that of nonsmokers (1.6 versus 0.16 pmol/mL; P = 0.01). Among nonsmokers, those who reported eating grilled, roasted, or broiled meat had significantly higher 1-OHPG concentrations than those who did not reported eating meat prepared by these methods (0.25 versus 0.06 pmol/mL; P = 0.02). Nonsmokers who reported traveling on roads for > or =3 hours during the 48-hour period also had significantly higher 1-OHPG levels than those who traveled <3 hours (0.23 versus 0.11 pmol/mL; P = 0.03). 1-OHPG levels were also correlated with hours of secondhand smoke exposure among nonsmokers (P = 0.04). In this study, 1-OHPG urine concentrations were not associated with self-reported exposures to cooking smoke, wood burning, or traffic levels near the home or to traffic density or urban/rural status determined using a GIS. Self-reported indicators of residential proximity to high traffic volume were, however, associated with GIS traffic density measures.
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