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Qin RX, Cao X, Zhang SY, Li H, Tang B, Liao QL, Cai FS, Peng XZ, Zheng J. Decontamination promotes the release of incorporated organic contaminants in hair: Novel insights into non-invasive biomonitoring. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 359:124696. [PMID: 39122174 DOI: 10.1016/j.envpol.2024.124696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 07/05/2024] [Accepted: 08/06/2024] [Indexed: 08/12/2024]
Abstract
Human hair is increasingly employed as a non-invasive biomonitoring matrix for exposure to organic contaminants (OCs). Decontamination procedures are generally needed to remove external contamination from hair prior to analysis of OCs. Despite various existing decontamination protocols, their impacts on internally incorporated (endogenous) OCs in hair remain poorly understood. This study aims to quantitatively assess the impact of decontamination procedures on endogenous OCs in hair, and investigate optimal decontamination processes and factors influencing the removal of endogenous OCs. In this study, guinea pig was exposed to 6 OCs (triphenyl phosphate (TPHP), tris(1,3-dichloro-2-propyl) phosphate (TDCPP), and tri-n-butyl phosphate (TNBP), bisphenol A (BPA), perfluorooctanoic acid (PFOA), and phenanthrene (PHE)), and 6 decontamination procedures with different solvents (methanol, n-hexane, acetone, ultrapure water, Triton X-100, and sodium dodecyl sulfate) were used to rinse exposed guinea pig hair. All OCs and three metabolites (diphenyl phosphate (DPHP), dibutyl phosphate (DBP), and bis(1,3-dichloro-2-propyl) phosphate (BDCPP)) were detected in the majority of washing solutions. The decontamination procedures apparently resulted in the release of endogenous OCs from hair. The percentages of residual OCs in hair exhibited a linear or exponential decrease with more washing cycles. Furthermore, the residuals of OCs in hair washed with organic and aqueous solvents showed negative correlations with molecular weight, polarizability, and their initial concentrations. Although these findings need to be validated with a broader range of OCs, the results obtained in this study provide compelling evidence that current hair decontamination procedures have significant impacts on the analysis of endogenous OCs in hair. Therefore, it is important to interpret quantitative data on hair OC concentrations with caution and to thoroughly consider each decontamination procedure during analysis.
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Affiliation(s)
- Rui-Xin Qin
- State Key Laboratory of Organic Geochemistry, Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, PR China; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Center of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China
| | - Xue Cao
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Center of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, PR China; School of Public Health, China Medical University, Liaoning, 110122, PR China
| | - Shi-Yi Zhang
- State Key Laboratory of Organic Geochemistry, Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, PR China; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Center of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China
| | - Hong Li
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Center of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, PR China; The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health and Wellness, Guizhou Medical University, Guiyang, 550025, PR China
| | - Bin Tang
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Center of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, PR China
| | - Qi-Long Liao
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Center of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, PR China
| | - Feng-Shan Cai
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Center of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, PR China
| | - Xian-Zhi Peng
- State Key Laboratory of Organic Geochemistry, Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, PR China.
| | - Jing Zheng
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Center of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, PR China; The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health and Wellness, Guizhou Medical University, Guiyang, 550025, PR China.
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Zhang X, Li Z. Investigating industrial PAH air pollution in relation to population exposure in major countries: A scoring approach. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 338:117801. [PMID: 36996564 DOI: 10.1016/j.jenvman.2023.117801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 03/17/2023] [Accepted: 03/22/2023] [Indexed: 06/19/2023]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) are common air pollutants worldwide, associated with industrial processes. In the general population, both modeling and field studies revealed a positive correlation between air PAH concentrations and urinary PAH metabolite levels. Many countries lack population urinary data that correspond to local PAH air concentrations. Thus, we proposed a scoring-based approximate approach to investigating that correlation in selected countries, hypothesizing that PAH air concentrations in selected regions could represent the national air quality influenced by industrial emission and further correlate to PAH internal exposure in the general population. This research compiled 85 peer-reviewed journal articles and 9 official monitoring datasets/reports covering 34 countries, 16 of which with both atmospheric PAH data and human biomonitoring data. For the air pollution score (AirS), Egypt had the highest AirS at 0.94 and Pakistan was at the bottom of the score ranking at -1.95, as well as the median in the UK (AirS: 0.50). For the population exposure score (ExpS), China gained the top ExpS at 0.44 and Spain was with the lowest ExpS of -1.52, with the median value in Italy (ExpS: 0.43). Through the correlation analysis, atmospheric PAHs and their corresponding urinary metabolites provided a positive relationship to a diverse extent, indicating that the related urinary metabolites could reflect the population's exposure to specific atmospheric PAHs. The findings also revealed that in the 16 selected countries, AirS indexes were positively correlated with ExpS indexes, implying that higher PAH levels in the air may lead to elevated metabolite urinary levels in general populations. Furthermore, lowering PAH air concentrations could reduce population internal PAH exposure, implying that strict PAH air regulation or emission would reduce health risks for general populations. Notably, this study was an ideal theoretical research based on proposed assumptions to some extent. Further research should focus on understanding exposure pathways, protecting vulnerable populations, and improving the PAH database to optimize PAH pollution control.
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Affiliation(s)
- Xiaoyu Zhang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Zijian Li
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, 518107, China.
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Cheng S, Zhang H, Wang P, Zou K, Duan X, Wang S, Yang Y, Shi L, Wang W. Benchmark dose analysis for PAHs hydroxyl metabolites in urine based on mitochondrial damage of peripheral blood leucocytes in coke oven workers in China. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2021; 86:103675. [PMID: 34033865 DOI: 10.1016/j.etap.2021.103675] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 05/18/2021] [Accepted: 05/20/2021] [Indexed: 06/12/2023]
Abstract
OBJECTIVES The aim was to explore the dose-response relationship between occupational polycyclic aromatic hydrocarbons (PAHs) exposure and mitochondrial damage in coke oven plants workers. METHODS 544 workers and 238 healthy people were recruited. The ultra-high performance liquid chromatography was used to determine the level of 1-hydroxypyrene, 1-hydroxynaphthalene, 2-hydroxynaphthalene and 3-hydroxyphenanthrene. The real-time fluorescence quantitative polymerase chain reaction was used to determine the mitochondrial DNA copy number (mtDNAcn). The benchmark dose software was used to analyze the benchmark dose. RESULTS The mtDNAcn in the exposure group was lower than that in the control group. The concentrations of 1-hydroxypyrene, 1-hydroxynaphthalene, 2-hydroxynaphthalene and 3-hydroxyphenanthrene in the exposure group were higher than those in the control group. There is a dose-response relationship between 1-hydroxypyrene, 3-hydroxyphenanthrene and mitochondrial DNA damage. The benchmark dose lower confidence limit (BMDL) of 1-hydroxypyrene were 0.045, 0.004, and 0.058 pg/μg creatinine in the total, male, and female population, respectively. The BMDL of 3-hydroxyphenanthrene were 5.142, 6.099, and 2.807 pg/μg creatinine in the total, male, and female population, respectively. CONCLUSIONS The BMDL of 1-hydroxypyrene and 3-hydroxyphenanthrene initially explored can provide a reference to establish occupational exposure biological limits.
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Affiliation(s)
- Shuai Cheng
- Department of Occupational Health and Occupational Diseases, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Hui Zhang
- Department of Occupational Health and Occupational Diseases, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Pengpeng Wang
- Department of Occupational Health and Occupational Diseases, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Kaili Zou
- Department of Occupational Health and Occupational Diseases, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xiaoran Duan
- Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
| | - Sihua Wang
- Henan Provincial Institute of Occupational Health, Zhengzhou, China
| | - Yongli Yang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Liuhua Shi
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Wei Wang
- Department of Occupational Health and Occupational Diseases, College of Public Health, Zhengzhou University, Zhengzhou, China; The Key Laboratory of Nanomedicine and Health Inspection of Zhengzhou, Zhengzhou, China.
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4
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Zhang Y, Chen X, Zhang Y. Analytical chemistry, formation, mitigation, and risk assessment of polycyclic aromatic hydrocarbons: From food processing to
in vivo
metabolic transformation. Compr Rev Food Sci Food Saf 2021; 20:1422-1456. [DOI: 10.1111/1541-4337.12705] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 12/11/2020] [Accepted: 01/01/2021] [Indexed: 01/09/2023]
Affiliation(s)
- Yiju Zhang
- National Engineering Laboratory of Intelligent Food Technology and Equipment, Zhejiang Key Laboratory for Agro‐Food Processing, Fuli Institute of Food Science, College of Biosystems Engineering and Food Science Zhejiang University Hangzhou China
| | - Xiaoqian Chen
- National Engineering Laboratory of Intelligent Food Technology and Equipment, Zhejiang Key Laboratory for Agro‐Food Processing, Fuli Institute of Food Science, College of Biosystems Engineering and Food Science Zhejiang University Hangzhou China
| | - Yu Zhang
- National Engineering Laboratory of Intelligent Food Technology and Equipment, Zhejiang Key Laboratory for Agro‐Food Processing, Fuli Institute of Food Science, College of Biosystems Engineering and Food Science Zhejiang University Hangzhou China
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Leung MHY, Tong X, Bastien P, Guinot F, Tenenhaus A, Appenzeller BMR, Betts RJ, Mezzache S, Li J, Bourokba N, Breton L, Clavaud C, Lee PKH. Changes of the human skin microbiota upon chronic exposure to polycyclic aromatic hydrocarbon pollutants. MICROBIOME 2020; 8:100. [PMID: 32591010 PMCID: PMC7320578 DOI: 10.1186/s40168-020-00874-1] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 05/20/2020] [Indexed: 05/25/2023]
Abstract
BACKGROUND Polycyclic aromatic hydrocarbons (PAHs) are of environmental and public health concerns and contribute to adverse skin attributes such as premature skin aging and pigmentary disorder. However, little information is available on the potential roles of chronic urban PAH pollutant exposure on the cutaneous microbiota. Given the roles of the skin microbiota have on healthy and undesirable skin phenotypes and the relationships between PAHs and skin properties, we hypothesize that exposure of PAHs may be associated with changes in the cutaneous microbiota. In this study, the skin microbiota of over two hundred Chinese individuals from two cities in China with varying exposure levels of PAHs were characterized by bacterial and fungal amplicon and shotgun metagenomics sequencing. RESULTS Skin site and city were strong parameters in changing microbial communities and their assembly processes. Reductions of bacterial-fungal microbial network structural integrity and stability were associated with skin conditions (acne and dandruff). Multivariate analysis revealed associations between abundances of Propionibacterium and Malassezia with host properties and pollutant exposure levels. Shannon diversity increase was correlated to exposure levels of PAHs in a dose-dependent manner. Shotgun metagenomics analysis of samples (n = 32) from individuals of the lowest and highest exposure levels of PAHs further highlighted associations between the PAHs quantified and decrease in abundances of skin commensals and increase in oral bacteria. Functional analysis identified associations between levels of PAHs and abundance of microbial genes of metabolic and other pathways with potential importance in host-microbe interactions as well as degradation of aromatic compounds. CONCLUSIONS The results in this study demonstrated the changes in composition and functional capacities of the cutaneous microbiota associated with chronic exposure levels of PAHs. Findings from this study will aid the development of strategies to harness the microbiota in protecting the skin against pollutants. Video Abstract.
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Affiliation(s)
- Marcus H. Y. Leung
- School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China
| | - Xinzhao Tong
- School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China
| | | | - Florent Guinot
- L’Oréal Research and Innovation, Aulnay-sous-Bois, France
| | - Arthur Tenenhaus
- CentraleSupelec-L2S-Laboratoire des signaux et systèmes, Brain and Spine Institute, Université Paris-Sud, Orsay, France
| | | | | | | | - Jing Li
- L’Oréal Research and Innovation, Pudong, China
| | | | - Lionel Breton
- L’Oréal Research and Innovation, Aulnay-sous-Bois, France
| | - Cécile Clavaud
- L’Oréal Research and Innovation, Aulnay-sous-Bois, France
| | - Patrick K. H. Lee
- School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China
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6
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Yang Y, Lin M, Tang J, Ma S, Yu Y. Derivatization gas chromatography negative chemical ionization mass spectrometry for the analysis of trace organic pollutants and their metabolites in human biological samples. Anal Bioanal Chem 2020; 412:6679-6690. [PMID: 32556566 DOI: 10.1007/s00216-020-02762-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 05/20/2020] [Accepted: 06/05/2020] [Indexed: 11/24/2022]
Abstract
Gas chromatography negative chemical ionization mass spectrometry (GC-NCI-MS) is a preferred instrumental approach for the trace and ultra-trace analysis of various toxic organics and their metabolites in human biological fluids. Specifically, the method has played an important role in the highly sensitive and specific quantitative detection of persistent highly halogenated compounds in environmental matrices and biota during the past few decades. However, for the analysis of toxic metabolites with active hydrogen atoms, such as acids, alcohols, and phenolic compounds, from biological matrixes or organics without electronegative atoms or groups, a derivatization step is often needed prior to GC analysis. Such derivatization aims to change the properties of targets to improve their separation, increase their volatility, and enhance the sensitivity of instrumental detection. This review summarizes three derivatization strategies commonly used for GC methods, i.e., alkylation, silylation, and acylation, together with their application combined with GC-NCI-MS for the high sensitivity analysis of toxic organic metabolites in the human body. The advantages and disadvantages of each derivatization method and potential directions for future applications are discussed. Given the broad variety of applications as well as the compound-specific sensitivity for the ultra-trace analysis of target xenobiotics in human biological fluids, subsequent studies are required to develop convenient, faster derivatization procedures and reagents better suited for routine analysis. Graphical abstract.
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Affiliation(s)
- Yan Yang
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou, 510006, Guangdong, China.,Synergy Innovation Institute of GDUT, Shantou, 515100, Guangdong, China
| | - Meiqing Lin
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou, 510006, Guangdong, China
| | - Jian Tang
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou, 510006, Guangdong, China
| | - Shengtao Ma
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou, 510006, Guangdong, China. .,Synergy Innovation Institute of GDUT, Shantou, 515100, Guangdong, China.
| | - Yingxin Yu
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou, 510006, Guangdong, China
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7
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Ren M, Jia X, Shi J, Yan L, Li Z, Lan C, Chen J, Li N, Li K, Huang J, Wu S, Lu Q, Li Z, Wang B, Liu J. Simultaneous analysis of typical halogenated endocrine disrupting chemicals and metal(loid)s in human hair. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 718:137300. [PMID: 32097838 DOI: 10.1016/j.scitotenv.2020.137300] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 02/11/2020] [Accepted: 02/12/2020] [Indexed: 06/10/2023]
Abstract
Hair analysis has been an important approach in evaluating population exposure to various environmental factors. To meet the requirements of human environmental epidemiology studies, we aimed to develop an efficient method for simultaneous analysis of various metal(loid)s and some typical environmental halogenated endocrine disrupting chemicals (hEDCs) (i.e., polychlorinated biphenyls, polybrominated diphenyl ethers, and organochlorine pesticides, as well as some of their hydroxyl substituted metabolites) in a single hair sample. The hair was washed successively with surfactant solutions, methanol solvent, and deionized water to remove impurities attached to the hair surface. Efficiency was comprehensively compared among various washing strategies. The hair sample was further pulverized into fine powder with a median diameter (25th-75th percentile) of 8.6 (5.9-13.5) μm. The hair organic components were extracted by acetonitrile solvent and compared with the microwave-assisted extraction method. The hEDCs in the supernatant acetonitrile phase were quantified by gas chromatography-mass spectrometry, and the metal(loid)s in the precipitate hair were further analyzed by inductively coupled plasma mass spectrometry. Our developed method was further applied to analyze the hair samples of 165 pregnant women. The results showed that particles attached to the surface of the hair could not be washed off completely. However, we proposed a protocol framework to wash hair with relatively high efficience, which includes warm water incubation, and use of surfactant and organic solvent. The recoveries of the concerned hEDCs and metal(loid)s were overall in the range of 80% to 120%. For the women population, the method can efficiently recognize the typical exposure characteristics of the concerned hEDCs and metal(loid)s. Our study significantly ameliorated the deficiencies of the traditional hair washing strategy and developed an efficient method for simultaneous analysis of various metal(loid)s and hEDCs in a single hair sample. This method will provide important support for population complex exposure analysis and facilitate environmental exposome studies.
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Affiliation(s)
- Mengyuan Ren
- Institute of Reproductive and Child Health, Peking University, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Xiaoqian Jia
- Institute of Reproductive and Child Health, Peking University, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Jiazhang Shi
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, PR China
| | - Lailai Yan
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing 100191, PR China
| | - Zewu Li
- Institute of Reproductive and Child Health, Peking University, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Changxin Lan
- Institute of Reproductive and Child Health, Peking University, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Junxi Chen
- Institute of Reproductive and Child Health, Peking University, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Nan Li
- Institute of Reproductive and Child Health, Peking University, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Kexin Li
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, PR China
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, PR China; Key Laboratory of Molecular Cardiovascular Sciences, Peking University, Ministry of Education, PR China
| | - Shaowei Wu
- Key Laboratory of Molecular Cardiovascular Sciences, Peking University, Ministry of Education, PR China; Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, PR China
| | - Qun Lu
- Reproductive Medical Center, Peking University People's Hospital,Beijing 100044, PR China
| | - Zhiwen Li
- Institute of Reproductive and Child Health, Peking University, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China.
| | - Bin Wang
- Institute of Reproductive and Child Health, Peking University, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China.
| | - Jianmeng Liu
- Institute of Reproductive and Child Health, Peking University, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
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Liu Y, Bai Y, Wu X, Li G, Wei W, Fu W, Wang G, Feng Y, Meng H, Li H, Li M, Guan X, Zhang X, He M, Wu T, Guo H. Polycyclic aromatic hydrocarbons exposure and their joint effects with age, smoking, and TCL1A variants on mosaic loss of chromosome Y among coke-oven workers. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 258:113655. [PMID: 31818624 DOI: 10.1016/j.envpol.2019.113655] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 10/10/2019] [Accepted: 11/19/2019] [Indexed: 06/10/2023]
Abstract
Mosaic loss of chromosome Y (mLOY) is the most common structure somatic event that related to increased risks of various diseases and mortality. Environmental pollution and genetic susceptibility were important contributors to mLOY. We aimed to explore the associations of polycyclic aromatic hydrocarbons (PAHs) exposure, as well as their joint effects with age, smoking, and genetic variants on peripheral blood mLOY. A total of 1005 male coke-oven workers were included in this study and their internal PAHs exposure levels of 10 urinary PAH metabolites and plasma benzo[a]pyrene-r-7,t-8,t-9,c-10-tetrahydotetrol-albumin (BPDE-Alb) adducts were measured. mLOY was defined by the median log R ratio(mLRR) of 1480 probes in male-specific region of chromosome-Y from genotyping array. We found that the PAHs exposure levels were linearly associated with mLOY. A 10-fold increase in urinary 1-hydroxynaphthalene (1-OHNa), 1-hydroxyphenanthrene (1-OHPh), 2-OHPh, 1-hydroxypyrene (1-OHP), ΣOH-PAHs, and plasma BPDE-Alb adducts could generate 0.0111, 0.0085, 0.0069, 0.0103, 0.0134, and 0.0152 decrease in mLRR-Y, respectively. Additionally, mLOY accelerated with age, smoking pack-years, and TCL1A rs1122138-C allele, and we observed the most severe mLOY among subjects carrying more than 3 of the above risk factors. Our results revealed the linear dose-effect associations between PAHs exposure and mLOY. Elder male smokers carrying rs1122138CC genotype were the most susceptible subpopulations to mLOY, who should be given protections for PAHs exposure induced chromosome-Y aberration.
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Affiliation(s)
- Yuhang Liu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Yansen Bai
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Xiulong Wu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Guyanan Li
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Wei Wei
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Wenshan Fu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Gege Wang
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Yue Feng
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Hua Meng
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Hang Li
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Mengying Li
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Xin Guan
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Meian He
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Huan Guo
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China.
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Palazzi P, Mezzache S, Bourokba N, Hardy EM, Schritz A, Bastien P, Emond C, Li J, Soeur J, Appenzeller BMR. Exposure to polycyclic aromatic hydrocarbons in women living in the Chinese cities of BaoDing and Dalian revealed by hair analysis. ENVIRONMENT INTERNATIONAL 2018; 121:1341-1354. [PMID: 30420128 DOI: 10.1016/j.envint.2018.10.056] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Revised: 10/26/2018] [Accepted: 10/26/2018] [Indexed: 06/09/2023]
Abstract
Polycyclic aromatic hydrocarbons (PAH) are produced from incomplete combustion of organic matter and released as environmental contaminants from activities such as transports, wood combustion, coal-fired power plants. In numerous urban areas worldwide, the levels of PAH exposure are considered critical regarding public health issues. The possibility to detect PAH and PAH metabolites biologically incorporated in human hair was demonstrated and proposed as biomarkers of exposure. Nevertheless, the possibility to distinguish different levels of exposure between different populations is still needed to validate the relevance of hair analysis in epidemiological studies. In this work, hair samples were collected from 204 women from two cities in China based on one year Air Quality Index history from governmental data (Baoding as polluted city and Dalian less polluted city). 8 out of the 15 parent PAH and 7 out of the 56 metabolites analyzed in this study were detected in all the samples. The highest concentrations in hair were observed for phenanthrene (4.2 to 889 pg/mg) > fluoranthene (1.05 to 204 pg/mg) > pyrene (3.2 to 124 pg/mg) for parent PAH, and for 9-OH-fluorene (0.04 to 1.78 pg/mg) > 2-OH-naphthalene (0.68 to 811 pg/mg) > 1-OH-anthracene (0.24 to 10.9 pg/mg) for metabolites. 14 parent PAH and 15 metabolites presented a significantly higher concentration in the hair samples collected from Baoding, as compared to Dalian. The median concentration of parent PAH was from 1.5 to 2.8 times higher in the hair of the subjects from Baoding than in subjects from Dalian and that of PAH metabolites was from 1 to 2.3 times higher. The study of inter-chemical associations revealed similarities and differences between the two areas, suggesting common and different sources of exposure depending on PAH respectively. The results confirmed the relevance of hair analysis to identify qualitative and quantitative differences in PAH exposure between populations from different areas. This study is the first one to investigate both parent PAH and their metabolites in a biological matrix.
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Affiliation(s)
- Paul Palazzi
- Human Biomonitoring Research Unit, Department of Population Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Sakina Mezzache
- L'Oréal Research and Innovation, 1 avenue Eugène Schueller BP22, 93601 Aulnay sous Bois, France
| | - Nasrine Bourokba
- L'Oréal Research and Innovation, Biopolis Drive, Synapse, 138623, Singapore
| | - Emilie M Hardy
- Human Biomonitoring Research Unit, Department of Population Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Anna Schritz
- Competence Center for Methodology and Statistics, Department of Population Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Philippe Bastien
- L'Oréal Research and Innovation, 1 avenue Eugène Schueller BP22, 93601 Aulnay sous Bois, France
| | - Claude Emond
- Human Biomonitoring Research Unit, Department of Population Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Jing Li
- L'Oréal Research and Innovation, No. 550 JinYu Rd., Pudong New Area, China
| | - Jeremie Soeur
- L'Oréal Research and Innovation, 1 avenue Eugène Schueller BP22, 93601 Aulnay sous Bois, France
| | - Brice M R Appenzeller
- Human Biomonitoring Research Unit, Department of Population Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg.
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Hair analysis for the biomonitoring of polycyclic aromatic hydrocarbon exposure: comparison with urinary metabolites and DNA adducts in a rat model. Arch Toxicol 2018; 92:3061-3075. [DOI: 10.1007/s00204-018-2298-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Accepted: 08/23/2018] [Indexed: 12/29/2022]
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