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Claessens J, Dufour P, Dardenne N, Charlier C, Pirard C. Contamination levels and distribution of persistent and non-persistent pollutants in paired hair, urine and serum samples from a Belgian non-occupationally exposed population. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART A 2025; 88:447-462. [PMID: 39815779 DOI: 10.1080/15287394.2025.2451676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2025]
Abstract
Designing ideal human biomonitoring studies involves the selection of reliable markers of exposure in adequate biological matrix. Besides conventional matrices such as blood or urine, hair has been increasingly investigated as a promising noninvasive alternative. However, understanding the pollutant distribution between differing biological compartments is essential for reliable interpretation of data collected. Therefore, the contamination levels and the distribution of some persistent (8 perfluoroalkyl substances - PFAS - and 6 polychlorobiphenyls - PCBs) and non-persistent pollutants (2 bisphenols and 3 parabens) were investigated in paired serum and hair samples, or paired spot urine and hair samples obtained from 30 Belgian non-occupationally exposed individuals. The levels measured were close to those reported in recent larger-scale studies. PFAS, PCB and bisphenol distributions largely differed depending upon the matrix and within the same chemical family depending upon the congener. The correlation and agreement between pollutant levels in differing matrices demonstrated that the information provided is comparable only for highly chlorinated PCBs and parabens, while the classification of exposure for bisphenols was substantially different according to the matrix. The selection of the human matrix thus remains complex and might markedly bias the results obtained, especially when assessing the health risk related to chemical exposure.
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Affiliation(s)
- Julien Claessens
- Department of Clinical, Forensic, Environmental, and Industrial Toxicology, University Hospital of Liege, Liege, Belgium
- Center For Interdisciplinary Research on Medicines (C.I.R.M), University of Liege, Liege, Belgium
| | - Patrice Dufour
- Department of Clinical, Forensic, Environmental, and Industrial Toxicology, University Hospital of Liege, Liege, Belgium
- Center For Interdisciplinary Research on Medicines (C.I.R.M), University of Liege, Liege, Belgium
| | - Nadia Dardenne
- University and Hospital Biostatistics Center (B-STAT), Faculty of Medicine, University of Liège, Liège, Belgium
| | - Corinne Charlier
- Department of Clinical, Forensic, Environmental, and Industrial Toxicology, University Hospital of Liege, Liege, Belgium
- Center For Interdisciplinary Research on Medicines (C.I.R.M), University of Liege, Liege, Belgium
| | - Catherine Pirard
- Department of Clinical, Forensic, Environmental, and Industrial Toxicology, University Hospital of Liege, Liege, Belgium
- Center For Interdisciplinary Research on Medicines (C.I.R.M), University of Liege, Liege, Belgium
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Huang M, Jiao L, Li X, Xu Q, Weng Z, Wu Q, Pang H. Unique hemispherical coordination-drivened pesticide residue probes: Enhanced stability in linear recognition for trifluralin. JOURNAL OF HAZARDOUS MATERIALS 2025; 482:136608. [PMID: 39586162 DOI: 10.1016/j.jhazmat.2024.136608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2024] [Revised: 11/08/2024] [Accepted: 11/19/2024] [Indexed: 11/27/2024]
Abstract
Trifluralin (TRL) is an effective and persistent herbicide, but its extensive and prolonged use has increasingly posed ecological and environmental health risks, making the development of convenient and rapid TRL detection methods essential for environmental protection and food safety. In the present research, a novel fluorescent probe was designed and developed, Zn-χ-L, for the rapid and selective detection of TRL in complex environments. The sensor demonstrates excellent sensitivity and stability, while also exhibiting significant resistance to interference from other pesticides and metal ions. Moreover, Zn-χ-L exhibited stable performance across various solvents and showed resistance to interference from other pesticides and metal ions. Molecular docking and theoretical calculations indicate that the unique recognition of TRL molecules by Zn-χ-L is related to its specific hemispheric structural feature, which forms strong coordination interactions between Zn-χ-L and TRL through coordination bonds, π-π stacking, and halogen bonds. This special conformation not only enables the formation of coordination bonds but also establishes multiple π-π stacking and halogen bonding interactions between Zn-χ-L and TRL, leading to efficient charge transfer and exceptional probe performance.
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Affiliation(s)
- Meifen Huang
- Department of Chemical Science and Technology, Kunming University, Kunming, Yunnan 650214, China; College of Physics Science and Technology, Kunming University, Kunming, Yunnan 650214, China
| | - Liang Jiao
- Department of Chemical Science and Technology, Kunming University, Kunming, Yunnan 650214, China; College of Physics Science and Technology, Kunming University, Kunming, Yunnan 650214, China
| | - Xiangying Li
- Department of Chemical Science and Technology, Kunming University, Kunming, Yunnan 650214, China
| | - Qiong Xu
- Department of Chemical Science and Technology, Kunming University, Kunming, Yunnan 650214, China
| | - Zhehui Weng
- Department of Chemical Science and Technology, Kunming University, Kunming, Yunnan 650214, China
| | - Qiong Wu
- Department of Chemical Science and Technology, Kunming University, Kunming, Yunnan 650214, China.
| | - Haijun Pang
- The School of Material Science and Chemical Engineering, Harbin University of Science and Technology, Harbin 150040, China.
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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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Peng FJ, Palazzi P, Mezzache S, Adelin E, Bourokba N, Bastien P, Appenzeller BM. Cross-Sectional Examination of Thyroid Hormones and Environmental Exposure to Multiclass Pesticides in Women of Reproductive Age in China. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:107005. [PMID: 39422607 PMCID: PMC11488487 DOI: 10.1289/ehp14378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 09/05/2024] [Accepted: 09/27/2024] [Indexed: 10/19/2024]
Abstract
BACKGROUND Some pesticides have been shown to interfere with thyroid functions through changes in thyroid hormone (TH) levels. However, few human studies have explored associations between TH levels and environmental exposure to currently used pesticides, including neonicotinoids, phenylpyrazoles, phenoxy acids, and azoles. Moreover, such studies often measure biomarkers of exposure in urine or blood, and thus reveal only recent exposure. In contrast, hair has been demonstrated to be a suitable matrix for assessing chronic exposure to both persistent and nonpersistent organic pollutants. OBJECTIVES We investigated 54 biomarkers of pollutant exposure in relation to tetraiodothyronine (T4), 3,3',5-triiodothyronine (T3), 3,3',5'-triiodothyronine (rT3), and 3,3'-diiodothyronine (T2). METHODS In a cross-sectional study of 196 healthy Chinese women of reproductive age (25-45 years of age), concentrations of both pollutants and THs were analyzed in the first 12 cm (starting from the scalp) of the hair matrix, collected in 2016. Associations between pollutants and TH levels were explored using stability-enhanced least absolute shrinkage and selection operator (lasso) by regressing all exposures against each outcome of interest, adjusted for age, body mass index, and city. RESULTS Each TH was associated with the mixture of at least eight of the examined pesticides. We found associations of β -HCH, PCP, DMP, DETP, 3Me4NP, carbofuran, ClCF 3 CA , imidacloprid, 2,4-D, metolachlor, difenoconazole, and tebuconazole with THs. For example, a 2-standard deviation (SD) increase in log 10 -transformed hair DMP concentration was associated with lower hair T4 concentration [- 15.0 % (95% CI: - 26.1 , - 2.21 % )] and higher hair T3 concentration [8.16% (95% CI: 1.73, 15.0%)] in the adjusted unpenalized regression models. We also found associations of some pesticides with T3/T4, rT3/T4, and rT3/T3 molar ratios, including PCP, DMP, 2,4-D, metolachlor, difenoconazole, and tebuconazole. DISCUSSION Our results suggest that exposure to the low levels of pesticides examined here may disrupt thyroid homeostasis in humans. Further studies are needed to confirm our results and to evaluate the long-term consequences of these subtle interferences. https://doi.org/10.1289/EHP14378.
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Affiliation(s)
- Feng-Jiao Peng
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Paul Palazzi
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | | | - Emilie Adelin
- L’Oréal Research and Innovation, Aulnay sous Bois, France
| | | | | | - Brice M.R. Appenzeller
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
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Zheng J, Zhang S, Luo W, Yang Q, Qin R, Tang B, Zhang Y, Xia X, Luo X, Mai B, Yu Y. Tracing semi-quantitatively the absorption and removal of organic pollutants in human hair based on secondary ion mass spectrometry. JOURNAL OF HAZARDOUS MATERIALS 2024; 477:135278. [PMID: 39047566 DOI: 10.1016/j.jhazmat.2024.135278] [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: 04/28/2024] [Revised: 07/17/2024] [Accepted: 07/20/2024] [Indexed: 07/27/2024]
Abstract
Human hair has become a promising non-invasive matrix in assessing exposure to environmental organic pollutants (OPs). However, exogenous contaminants, which were absorbed into the hair via sweat, sebum, and air particles/dust, could contribute to OP levels in hair and interfere with the precise exposure assessment. So far, the microscopic mechanisms underlying the absorption of exogenous OPs into hair remain inadequately understood. This study focused on the in-situ investigation of the diffusion processes of exogenous OPs into the hair structure using secondary ion mass spectrometry (SIMS) and isotopic tracer techniques. Results showed that the relative signal intensities of deuterium-labeled tris(1,3-dichloro-2-propyl) phosphate (TDCPP), 1-hydroxypyrene (1-OH-Pry), and bisphenol A (BPA) in the hair cortex were notably elevated after a 6-hour exposure. Diffusion coefficients of contaminants were related to their molecular weight, and absorption volumes to their water solubility and molecular structures. Exposure duration and solvent influenced the rate of diffusion and absorption volumes. The distribution of deuterium-labeled molecules in exposed hair samples after washing with two different solvents (acetone or water) was similar to that before washing. Our findings revealed the diffusion of OPs in hair cross-sections, indicating exogenous contributions to contaminants that are biologically incorporated into the hair.
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Affiliation(s)
- Jing Zheng
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Shiyi Zhang
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China.
| | - Weikeng Luo
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China.
| | - Qing Yang
- State Key Laboratory of Isotope Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China; CAS Center for Excellence in Deep Earth Science, Guangzhou, 510640, PR China
| | - Ruixin Qin
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China; 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
| | - Bin Tang
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Yanqiang Zhang
- State Key Laboratory of Isotope Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China; CAS Center for Excellence in Deep Earth Science, Guangzhou, 510640, PR China
| | - Xiaoping Xia
- State Key Laboratory of Isotope Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China
| | - Xiaojun Luo
- 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; Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Chinese Academy of Sciences, Guangzhou Institute of Geochemistry, Guangzhou 510640, PR China
| | - Bixian Mai
- 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; Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Chinese Academy of Sciences, Guangzhou Institute of Geochemistry, Guangzhou 510640, PR China
| | - Yunjiang Yu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
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Macheka LR, Palazzi P, Iglesias-González A, Zaros C, Appenzeller BMR, Zeman FA. Exposure to pesticides, persistent and non - persistent pollutants in French 3.5-year-old children: Findings from comprehensive hair analysis in the ELFE national birth cohort. ENVIRONMENT INTERNATIONAL 2024; 190:108881. [PMID: 39002332 DOI: 10.1016/j.envint.2024.108881] [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: 03/04/2024] [Revised: 06/26/2024] [Accepted: 07/06/2024] [Indexed: 07/15/2024]
Abstract
INTRODUCTION Exposure to endocrine disruptors during early childhood poses significant health risks. This study examines the exposure levels of French 3.5-year-old children to various persistent and non-persistent pollutants and pesticides using hair analysis as part of the ELFE national birth cohort. Differences in sex and geographical location among the children were investigated as ppossible determinants of exposure. METHODS Exposure biomarkers from 32 chemical families were analyzed using LC-MS/MS and GC-MS/MS in 222 hair samples from children in the ELFE cohort. Of these, 46 mother-child pairs from the same cohort provided unique insight into prenatal and postnatal exposure. Regressions, correlations and discriminate analysis were used to assess relationships between exposure and possible confounding factors. RESULTS AND DISCUSSION Among the biomarkers tested in children's hair samples, 69 had a detection frequency of ≥ 50 %, with 20 showing a 100 % detection rate. The most detected biomarkers belonged to the bisphenol, organochlorine and organophosphate families. Sex-specific differences were observed for 26 biomarkers, indicating the role of the child's sex in exposure levels. Additionally, regional differences were noted, with Hexachlorobenzene varying significantly across the different French regions. Nicotine presented both the highest concentration (16303 pg/mg) and highest median concentration (81 pg/mg) measured in the children's hair. Statistically significant correlations between the levels of biomarkers found in the hair samples of the mothers and their respective children were observed for fipronil (correlation coefficient = 0.32, p = 0.03), fipronil sulfone (correlation coefficient = 0.34, p = 0.02) and azoxystrobin (correlation coefficient = 0.29, p = 0.05). CONCLUSIONS The study highlights the elevated exposure levels of young children to various pollutants, highlighting the influence of sex and geography. Hair analysis emerges as a crucial tool for monitoring endocrine disruptors, offering insights into exposure risks and reinforcing the need for protective measures against these harmful substances.
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Affiliation(s)
- Linda R Macheka
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Paul Palazzi
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Alba Iglesias-González
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Cécile Zaros
- Ined-Inserm-EFS - Unité mixte Elfe (Campus Condorcet), 9, cours des Humanités, 93322 Aubervilliers, France
| | - Brice M R Appenzeller
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Florence A Zeman
- Unité Toxicologie Expérimentale et Modélisation, Ineris, Institut National de l'Environnement Industriel et des Risques, Verneuil-en-Halatte, France; PériTox, UMR_I 01, CURS, Université de Picardie Jules Verne, Chemin du Thil, Amiens, France.
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Yavuz O, Arslan HH, Tokur O, Marangoz O, Nuhoglu Ozturk Z, Mushtaq S. Monitoring of environmental persistent organic pollutants in hair samples of cats and dogs. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 933:173020. [PMID: 38719047 DOI: 10.1016/j.scitotenv.2024.173020] [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: 12/26/2023] [Revised: 05/03/2024] [Accepted: 05/04/2024] [Indexed: 05/19/2024]
Abstract
This study investigated 32 persistent organic pollutants, including 9 organochlorine pesticides, 15 polychlorinated biphenyls, 6 polycyclic aromatic hydrocarbons, and 2 organophosphate pesticides in the hair samples of domestic cats and dogs living in an urban area in Samsun, Turkiye. Hair samples were collected from 35 cats and 38 dogs, grouped by sex and age (<3 or >3 years old). Samples were extracted using a liquid-liquid extraction method and analyzed by Gas Chromatography-Mass Spectrometry (GC-MS). The results revealed the presence of organochlorine pesticides (n = 58, 468.65 ± 92.30 ng/g), polycyclic aromatic hydrocarbons (n = 57, 15.65 ± 3.91 ng/g), polychlorinated biphenyls (n = 55, 54.11 ± 9.47 ng/g), and organophosphate pesticides (n = 25, 568.43 ± 113.17 ng/g) in the samples. PCBs 81, 118, 128, 208, and 2,4-DDE were not detected in any samples. Only one sample did not contain any of the searched compounds. Fluorene was the most frequently detected pollutant (n = 53, 72.6 %), followed by β-hexachlorocyclohexane (n = 34, 46.6 %). The highest maximum concentration was observed for hexachlorobenzene (2748.03 ng/g), followed by aldrin (2313.45 ng/g) and fenitrothion (2081.13 ng/g). Pollutant concentrations did not differ between cats and dogs, sexes, and ages (p > 0.05). This study highlights the significant threat that urban areas pose to pets, and therefore, POPs should be monitored periodically in hair and other samples. To the best of our knowledge, this is the first report to investigate POP levels in hair samples from cats and dogs in Turkiye.
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Affiliation(s)
- Oguzhan Yavuz
- Department of Pharmacology and Toxicology, Ceyhan Faculty of Veterinary Medicine, Cukurova University, Adana, Turkiye.
| | - Handan Hilal Arslan
- Department of Internal Medicine, Ceyhan Faculty of Veterinary Medicine, Cukurova University, Adana, Turkiye
| | - Orhan Tokur
- Department of Pharmacology and Toxicology, Faculty of Veterinary Medicine, Ondokuz Mayis University, Samsun, Turkiye
| | - Ozge Marangoz
- Department of Pharmacology and Toxicology, Faculty of Veterinary Medicine, Ondokuz Mayis University, Samsun, Turkiye
| | - Zeyno Nuhoglu Ozturk
- Department of Pharmacology and Toxicology, Faculty of Veterinary Medicine, Ondokuz Mayis University, Samsun, Turkiye
| | - Saima Mushtaq
- Department of Pharmacology and Toxicology, Faculty of Veterinary Medicine, Ondokuz Mayis University, Samsun, Turkiye
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Peng FJ, Palazzi P, Mezzache S, Adelin E, Bourokba N, Bastien P, Appenzeller BMR. Glucocorticoid hormones in relation to environmental exposure to bisphenols and multiclass pesticides among middle aged-women: Results from hair analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 348:123839. [PMID: 38522601 DOI: 10.1016/j.envpol.2024.123839] [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: 12/15/2023] [Revised: 03/15/2024] [Accepted: 03/20/2024] [Indexed: 03/26/2024]
Abstract
Bisphenols and pesticides have been shown to alter circulating glucocorticoids levels in animals, but there is limited human data. Moreover, measurements from biological fluids may not be able to reflect long-term status of non-persistent pollutants and glucocorticoids due to the high variability in their levels. Using hair analysis, we examined the associations between glucocorticoid hormones and environmental exposure to multi-class organic pollutants among a healthy female population aged 25-45 years old. Concentrations of four glucocorticoids, four polychlorinated biphenyl congeners (PCBs), seven polybrominated diphenyl ether congeners (PBDEs), two bisphenols and 140 pesticides and their metabolites were measured in hair samples collected from 196 Chinese women living in urban areas. Due to the low detection frequency of some pollutants, associations were explored only on 54 pollutants, i.e. PCB 180, bisphenol A, bisphenol S and 51 pesticides and their metabolites. Using stability-based Lasso regression, there were associations of cortisol, tetrahydrocortisol, cortisone, and tetrahydrocortisone with 14, 10, 13 and 17 biomarkers of exposure to pollutants, respectively, with bisphenol S, p,p'-dichlorodiphenyldichloroethylene, diethyl phosphate, 3,5,6-trichloro-2-pyridinol, thiamethoxam, imidacloprid, fipronil, tebuconazole, trifluralin, pyraclostrobin and 1-(3,4-dichlorophenyl)-3-methylurea being associated with at least three of the four hormones. There were also associations between cortisone/cortisol molar ratio and pollutants, namely dimethyl phosphate, 3-methyl-4-nitrophenol, carbofuran, λ-cyhalothrin, permethrin, fipronil, flusilazole, prometryn and fenuron. Some of these relationships were confirmed by single-pollutant linear regression analyses. Overall, our results suggest that background level of exposure to bisphenols and currently used pesticides may interfere with the glucocorticoid homeostasis in healthy women.
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Affiliation(s)
- Feng-Jiao Peng
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B Rue Thomas Edison, 1445, Strassen, Luxembourg
| | - Paul Palazzi
- Human Biomonitoring Research Unit, Department of Precision 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
| | - Emilie Adelin
- 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
| | - Philippe Bastien
- 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 Precision Health, Luxembourg Institute of Health, 1 A-B Rue Thomas Edison, 1445, Strassen, Luxembourg.
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Wada R, Peng FJ, Lin CA, Vermeulen R, Iglesias-González A, Palazzi P, Bodinier B, Streel S, Guillaume M, Vuckovic D, Dagnino S, Chiquet J, Appenzeller BMR, Chadeau-Hyam M. Hair-Derived Exposome Exploration of Cardiometabolic Health: Piloting a Bayesian Multitrait Variable Selection Approach. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:5383-5393. [PMID: 38478982 DOI: 10.1021/acs.est.3c08739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Cardiometabolic health is complex and characterized by an ensemble of correlated and/or co-occurring conditions including obesity, dyslipidemia, hypertension, and diabetes mellitus. It is affected by social, lifestyle, and environmental factors, which in-turn exhibit complex correlation patterns. To account for the complexity of (i) exposure profiles and (ii) health outcomes, we propose to use a multitrait Bayesian variable selection approach and identify a sparse set of exposures jointly explanatory of the complex cardiometabolic health status. Using data from a subset (N = 941 participants) of the nutrition, environment, and cardiovascular health (NESCAV) study, we evaluated the link between measurements of the cumulative exposure to (N = 33) pollutants derived from hair and cardiometabolic health as proxied by up to nine measured traits. Our multitrait analysis showed increased statistical power, compared to single-trait analyses, to detect subtle contributions of exposures to a set of clinical phenotypes, while providing parsimonious results with improved interpretability. We identified six exposures that were jointly explanatory of cardiometabolic health as modeled by six complementary traits, of which, we identified strong associations between hexachlorobenzene and trifluralin exposure and adverse cardiometabolic health, including traits of obesity, dyslipidemia, and hypertension. This supports the use of this type of approach for the joint modeling, in an exposome context, of correlated exposures in relation to complex and multifaceted outcomes.
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Affiliation(s)
- Rin Wada
- Department of Epidemiology and Biostatistics, School of Public Health Imperial College London, London W2 1PG, U.K
- MRC Centre for Environment and Health Imperial College London, London W2 1PG, U.K
| | - Feng-Jiao Peng
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen L-1445, Luxembourg
| | - Chia-An Lin
- Department of Epidemiology and Biostatistics, School of Public Health Imperial College London, London W2 1PG, U.K
| | - Roel Vermeulen
- Department of Epidemiology and Biostatistics, School of Public Health Imperial College London, London W2 1PG, U.K
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht 3584 CM, The Netherlands
| | - Alba Iglesias-González
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen L-1445, Luxembourg
| | - Paul Palazzi
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen L-1445, Luxembourg
| | - Barbara Bodinier
- Department of Epidemiology and Biostatistics, School of Public Health Imperial College London, London W2 1PG, U.K
- MRC Centre for Environment and Health Imperial College London, London W2 1PG, U.K
| | - Sylvie Streel
- Department of Public Health Sciences, University of Liege, Liege 4000, Belgium
| | - Michèle Guillaume
- Department of Public Health Sciences, University of Liege, Liege 4000, Belgium
| | - Dragana Vuckovic
- Department of Epidemiology and Biostatistics, School of Public Health Imperial College London, London W2 1PG, U.K
- MRC Centre for Environment and Health Imperial College London, London W2 1PG, U.K
| | - Sonia Dagnino
- Department of Epidemiology and Biostatistics, School of Public Health Imperial College London, London W2 1PG, U.K
- Transporters in Imaging and Radiotherapy in Oncology (TIRO), Institut des sciences du vivant Fréderic Joliot, CEA, Université Côte d'Azur, Nice 06107, France
| | - Julien Chiquet
- Université Paris-Saclay, AgroParisTech, INRAE, UMR MIA Paris-Saclay, Palaiseau 91120, France
| | - Brice M R Appenzeller
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen L-1445, Luxembourg
| | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, School of Public Health Imperial College London, London W2 1PG, U.K
- MRC Centre for Environment and Health Imperial College London, London W2 1PG, U.K
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10
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Junaid M, Sultan M, Liu S, Hamid N, Yue Q, Pei DS, Wang J, Appenzeller BMR. A meta-analysis highlighting the increasing relevance of the hair matrix in exposure assessment to organic pollutants. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 917:170535. [PMID: 38307287 DOI: 10.1016/j.scitotenv.2024.170535] [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: 11/12/2023] [Revised: 01/26/2024] [Accepted: 01/26/2024] [Indexed: 02/04/2024]
Abstract
Owing to a wide range of advantages, such as stability, non-invasiveness, and ease of sampling, hair has been used progressively for comprehensive biomonitoring of organic pollutants for the last three decades. This has led to the development of new analytical and multi-class analysis methods for the assessment of a broad range of organic pollutants in various population groups, ranging from small-scale studies to advanced studies with a large number of participants based on different exposure settings. This meta-analysis summarizes the existing literature on the assessment of organic pollutants in hair in terms of residue levels, the correlation of hair residue levels with those of other biological matrices and socio-demographic factors, the reliability of hair versus other biomatrices for exposure assessment, the use of segmental hair analysis for chronic exposure evaluation and the effect of external contamination on hair residue levels. Significantly high concentrations of organic pollutants such as pesticides, flame retardants, polychlorinated biphenyls and polycyclic aromatic hydrocarbon were reported in human hair samples from different regions and under different exposure settings. Similarly, high concentrations of pesticides (from agricultural activities), flame retardants (E-waste dismantling activities), dioxins and furans were observed in various occupational settings. Moreover, significant correlations (p < 0.05) for hair and blood concentrations were observed in majority of studies featuring pesticides and flame retardants. While among sociodemographic factors, gender and age significantly affected the hair concentrations in females and children in general exposure settings, whereas adult workers in occupational settings. Furthermore, the assessment of the hair burden of persistent organic pollutants in domestic and wild animals showed high concentrations for pesticides such as HCHs and DDTs whereas the laboratory-based studies using animals demonstrated strong correlations between exposure dose, exposure duration, and measured organic pollutant levels, mainly for chlorpyrifos, diazinon, terbuthylazine, aldrin, dieldrin and pyrethroid metabolites. Considering the critical analysis of the results obtained from literature review, hair is regarded as a reliable matrix for organic pollutant assessment; however, some limitations, as discussed in this review, need to be overcome to reinforce the status of hair as a suitable matrix for exposure assessment.
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Affiliation(s)
- Muhammad Junaid
- College of Marine Sciences, South China Agricultural University, Guangzhou 510641, China; Guangdong Provincial Key Laboratory of Utilization and Conservation of Food and Medicinal Resources in Northern Region, Shaoguan University, Shaoguan 512005, China; Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, L-1445 Strassen, Luxembourg
| | - Marriya Sultan
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shulin Liu
- College of Marine Sciences, South China Agricultural University, Guangzhou 510641, China
| | - Naima Hamid
- Faculty of Science and Marine Environment, University Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia
| | - Qiang Yue
- Guangdong Provincial Key Laboratory of Utilization and Conservation of Food and Medicinal Resources in Northern Region, Shaoguan University, Shaoguan 512005, China
| | - De-Sheng Pei
- School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
| | - Jun Wang
- College of Marine Sciences, South China Agricultural University, Guangzhou 510641, China.
| | - Brice M R Appenzeller
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, L-1445 Strassen, Luxembourg
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Li Z, Li Z, Zhou Y, Meng W, Li J, Zhou Y, He C, Dong G, Yu Y. Co-occurrence of tetrabromobisphenol a and debromination products in human hair across China: Implications for exposure sources and health effects on metabolic syndrome. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 909:168514. [PMID: 37977374 DOI: 10.1016/j.scitotenv.2023.168514] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 10/27/2023] [Accepted: 11/09/2023] [Indexed: 11/19/2023]
Abstract
The large usage of Tetrabromobisphenol A (TBBPA) in consumer products leads to ubiquitous distribution globally, however, studies on the occurrence of their debromination compounds were rather scarce. Also, though many studies illustrate the effectiveness of hair analysis to assess human exposure to organic pollutants, evidence on the associations with health implications is still fairly limited. Herein, 598 participants from across China were employed to investigate chronic, low-level exposure to TBBPA and debromination products by hair analysis. The geomean concentrations of TBBPA, 2,2',6-tribromobisphenol A (Tri-BBPA), 2,2'- and 2,6-dibromobisphenol A (Di-BBPA), and 2-monobromobisphenol A (Mo-BBPA) were 1.07, 0.145, 0.135, and 0.894 ng/g, respectively, indicating nonnegligible health risks of debromination products. Hair analyte levels correlated with population age and population density among sampling regions. Sexual- and spatial-variations were observed with higher concentrations in females and in E-waste recycling sites. Logistic regression models showed that TBBPA exposure (adjusted odds ratio (OR): 1.02, 95 % confidential interval (CI): 1.01-1.05) was positively associated with risk of metabolic syndrome by adjusting for various covariates. These findings imply usefulness of hair as an alternative biomonitoring tool to assess human exposure to TBBPA and relative health effects, which highlights public concerns on co-exposure to these chemicals.
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Affiliation(s)
- Zongrui Li
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Zhenchi Li
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Ying Zhou
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Wenjie Meng
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Jincheng Li
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Yang Zhou
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Chang He
- Institute of Environmental Health and Pollution control, Guangdong University of Technology, Guangzhou 510006, China
| | - Guanghui Dong
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yunjiang Yu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China.
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12
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Peng FJ, Lin CA, Wada R, Bodinier B, Iglesias-González A, Palazzi P, Streel S, Guillaume M, Vuckovic D, Chadeau-Hyam M, Appenzeller BMR. Association of hair polychlorinated biphenyls and multiclass pesticides with obesity, diabetes, hypertension and dyslipidemia in NESCAV study. JOURNAL OF HAZARDOUS MATERIALS 2024; 461:132637. [PMID: 37788552 DOI: 10.1016/j.jhazmat.2023.132637] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 09/11/2023] [Accepted: 09/25/2023] [Indexed: 10/05/2023]
Abstract
Obesity, diabetes, hypertension and dyslipidemia are well-established risk factors for cardiovascular diseases (CVDs), and have been associated with exposure to persistent organic pollutants. However, studies have been lacking as regards effects of non-persistent pesticides on CVD risk factors. Here, we investigated whether background chronic exposure to polychlorinated biphenyls (PCBs) and multiclass pesticides were associated with the prevalence of these CVD risk factors in 502 Belgian and 487 Luxembourgish adults aged 18-69 years from the Nutrition, environment and cardiovascular health (NESCAV) study 2007-2013. We used hair analysis to evaluate the chronic internal exposure to three PCBs, seven organochlorine pesticides (OCs) and 18 non-persistent pesticides. We found positive associations of obesity with hexachlorobenzene (HCB), β-hexachlorocyclohexane (β-HCH) and chlorpyrifos, diabetes with pentachlorophenol (PCP), fipronil and fipronil sulfone, hypertension with PCB180 and chlorpyrifos, and dyslipidemia with diflufenican and oxadiazon, among others. However, we also found some inverse associations, such as obesity with PCP, diabetes with γ-HCH, hypertension with diflufenican, and dyslipidemia with chlorpyrifos. These results add to the existing evidence that OC exposure may contribute to the development of CVDs. Additionally, the present study revealed associations between CVD risk factors and chronic environmental exposure to currently used pesticides such as organophosphorus and pyrethroid pesticides.
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Affiliation(s)
- Feng-Jiao Peng
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Chia-An Lin
- MRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Rin Wada
- MRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Barbara Bodinier
- MRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Alba Iglesias-González
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Paul Palazzi
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Sylvie Streel
- Public Health Sciences Department, University of Liege, Liège, Belgium
| | - Michèle Guillaume
- Public Health Sciences Department, University of Liege, Liège, Belgium
| | - Dragana Vuckovic
- MRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Marc Chadeau-Hyam
- MRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Brice M R Appenzeller
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg.
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13
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Pavelka L, Rawal R, Ghosh S, Pauly C, Pauly L, Hanff AM, Kolber PL, Jónsdóttir SR, Mcintyre D, Azaiz K, Thiry E, Vilasboas L, Soboleva E, Giraitis M, Tsurkalenko O, Sapienza S, Diederich N, Klucken J, Glaab E, Aguayo GA, Jubal ER, Perquin M, Vaillant M, May P, Gantenbein M, Satagopam VP, Krüger R, on behalf of the NCER-PD Consortium. Luxembourg Parkinson's study -comprehensive baseline analysis of Parkinson's disease and atypical parkinsonism. Front Neurol 2023; 14:1330321. [PMID: 38174101 PMCID: PMC10763250 DOI: 10.3389/fneur.2023.1330321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 11/24/2023] [Indexed: 01/05/2024] Open
Abstract
Background Deep phenotyping of Parkinson's disease (PD) is essential to investigate this fastest-growing neurodegenerative disorder. Since 2015, over 800 individuals with PD and atypical parkinsonism along with more than 800 control subjects have been recruited in the frame of the observational, monocentric, nation-wide, longitudinal-prospective Luxembourg Parkinson's study. Objective To profile the baseline dataset and to explore risk factors, comorbidities and clinical profiles associated with PD, atypical parkinsonism and controls. Methods Epidemiological and clinical characteristics of all 1,648 participants divided in disease and control groups were investigated. Then, a cross-sectional group comparison was performed between the three largest groups: PD, progressive supranuclear palsy (PSP) and controls. Subsequently, multiple linear and logistic regression models were fitted adjusting for confounders. Results The mean (SD) age at onset (AAO) of PD was 62.3 (11.8) years with 15% early onset (AAO < 50 years), mean disease duration 4.90 (5.16) years, male sex 66.5% and mean MDS-UPDRS III 35.2 (16.3). For PSP, the respective values were: 67.6 (8.2) years, all PSP with AAO > 50 years, 2.80 (2.62) years, 62.7% and 53.3 (19.5). The highest frequency of hyposmia was detected in PD followed by PSP and controls (72.9%; 53.2%; 14.7%), challenging the use of hyposmia as discriminating feature in PD vs. PSP. Alcohol abstinence was significantly higher in PD than controls (17.6 vs. 12.9%, p = 0.003). Conclusion Luxembourg Parkinson's study constitutes a valuable resource to strengthen the understanding of complex traits in the aforementioned neurodegenerative disorders. It corroborated several previously observed clinical profiles, and provided insight on frequency of hyposmia in PSP and dietary habits, such as alcohol abstinence in PD.Clinical trial registration: clinicaltrials.gov, NCT05266872.
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Affiliation(s)
- Lukas Pavelka
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Rajesh Rawal
- Bioinformatics Core, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Soumyabrata Ghosh
- Bioinformatics Core, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Claire Pauly
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Laure Pauly
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Anne-Marie Hanff
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Pierre Luc Kolber
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Department of Neurosciences, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
| | - Sonja R. Jónsdóttir
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Deborah Mcintyre
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
| | - Kheira Azaiz
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Elodie Thiry
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Liliana Vilasboas
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Ekaterina Soboleva
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Marijus Giraitis
- Department of Precision Health, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Olena Tsurkalenko
- Department of Precision Health, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Stefano Sapienza
- Department of Precision Health, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Nico Diederich
- Department of Neurosciences, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
| | - Jochen Klucken
- Department of Precision Health, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Enrico Glaab
- Biomedical Data Science Group, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Gloria A. Aguayo
- Deep Digital Phenotyping Research Unit, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Eduardo Rosales Jubal
- Translational Medicine Operations Hub, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Magali Perquin
- Department of Precision Health, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Michel Vaillant
- Translational Medicine Operations Hub, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Patrick May
- Bioinformatics Core, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Manon Gantenbein
- Translational Medicine Operations Hub, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Venkata P. Satagopam
- Bioinformatics Core, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Rejko Krüger
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
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Sanguos CL, García LG, Suárez OL, Picáns-Leis R, Martínez-Carballo E, Couce ML. Non-invasive biomonitoring of infant exposure to environmental organic pollutants in north-western Spain based on hair analysis. Identification of potential sources. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 339:122705. [PMID: 37827353 DOI: 10.1016/j.envpol.2023.122705] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 08/03/2023] [Accepted: 10/05/2023] [Indexed: 10/14/2023]
Abstract
Recent years have seen growing interest in hair sample analysis to detect organic pollutants (OPs). This biological matrix can be analysed non-invasively for biomonitoring of OPs over a wide exposure window. Obtaining hair sample amounts that meet the needs of the analytical methodology required for the determination of the POs of interest can be challenging, especially in infants. As a result, studies assessing organic pollutants in infant hair have been very scarce. We quantified levels of about 60 OPs, including persistent organic pollutants (POPs), in 110 hair samples from a patient cohort (60 mothers and 50 infants) from Santiago de Compostela (north-western Spain). For each participant we examined relationship between OP levels and corresponding epidemiological parameters using correlations, principal component analysis (PCA), hierarchical cluster analysis, and Multivariate analysis of variance (MANOVA). For many OPs we observed significant correlations with place of residence, parity, and maternal age, as well as pet ownership. Evaluation of dietary habits showed significant associations between levels some OPs and the consumption of fish, molluscs, and cereal. There were significant associations between chlorpyrifos and deltamethrin levels and infant birth characteristics such as birthweight and head circumference. Relations between OP levels in the hair of mothers and their infants were also examined, revealing common sources of exposure for dioxin-like polychlorinated biphenyls (DLPCBs), non-dioxin-like polychlorinated biphenyls (NDLPCBs), polybrominated diphenyl ethers (PBDEs), and polycyclic aromatic hydrocarbons (PAHs). Levels of fluoranthene (F), pyrene (P), endrin, and some PBDEs in maternal hair were significantly correlated with those in infant hair. Our findings identified common sources of exposure to OPs of distinct chemical classes.
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Affiliation(s)
- Carolina López Sanguos
- Department of Neonatology, University Clinical Hospital of Santiago de Compostela, Santiago de Compostela, 15704, Spain; IDIS-Health Research Institute of Santiago de Compostela, Santiago de Compostela, 15704, Spain; Faculty of Medicine, University of Santiago de Compostela, Santiago de Compostela, 15704, Spain; Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Developmental Origin (RICORS), Instituto de Salud Carlos III, Madrid, Spain.
| | - Laura Gallego García
- IDIS-Health Research Institute of Santiago de Compostela, Santiago de Compostela, 15704, Spain; Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Developmental Origin (RICORS), Instituto de Salud Carlos III, Madrid, Spain.
| | - Olalla López Suárez
- Department of Neonatology, University Clinical Hospital of Santiago de Compostela, Santiago de Compostela, 15704, Spain; IDIS-Health Research Institute of Santiago de Compostela, Santiago de Compostela, 15704, Spain; Faculty of Medicine, University of Santiago de Compostela, Santiago de Compostela, 15704, Spain; Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Developmental Origin (RICORS), Instituto de Salud Carlos III, Madrid, Spain.
| | - Rosaura Picáns-Leis
- Department of Neonatology, University Clinical Hospital of Santiago de Compostela, Santiago de Compostela, 15704, Spain; IDIS-Health Research Institute of Santiago de Compostela, Santiago de Compostela, 15704, Spain; Faculty of Medicine, University of Santiago de Compostela, Santiago de Compostela, 15704, Spain; Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Developmental Origin (RICORS), Instituto de Salud Carlos III, Madrid, Spain.
| | - Elena Martínez-Carballo
- Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Developmental Origin (RICORS), Instituto de Salud Carlos III, Madrid, Spain; Food and Health Omics, Department of Analytical and Food Chemistry, Faculty of Sciences, Campus da Auga, University of Vigo, Ourense, 32004, Spain; Instituto de Agroecoloxía e Alimentación (IAA), Campus Auga, Universidade de Vigo, Ourense, 32004, Spain.
| | - María Luz Couce
- Department of Neonatology, University Clinical Hospital of Santiago de Compostela, Santiago de Compostela, 15704, Spain; IDIS-Health Research Institute of Santiago de Compostela, Santiago de Compostela, 15704, Spain; Faculty of Medicine, University of Santiago de Compostela, Santiago de Compostela, 15704, Spain; Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Developmental Origin (RICORS), Instituto de Salud Carlos III, Madrid, Spain.
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15
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Peng FJ, Palazzi P, Mezzache S, Adelin E, Bourokba N, Bastien P, Appenzeller BMR. Association between Environmental Exposure to Multiclass Organic Pollutants and Sex Steroid Hormone Levels in Women of Reproductive Age. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:19383-19394. [PMID: 37934613 DOI: 10.1021/acs.est.3c06095] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
Organic pollutant exposure may alter sex steroid hormone levels in both animals and humans, but studies on mixture effects have been lacking and mainly limited to persistent organic pollutants, with few hormones being investigated. Moreover, measurements from a single blood or urine sample may not be able to reflect long-term status. Using hair analysis, here, we evaluated the relationship between multiclass organic pollutants and sex steroid hormones in 196 healthy Chinese women aged 25-45 years. Associations with nine sex steroid hormones, including progesterone, androstenedione (AD), testosterone (T), estrone (E1), and 17β-estradiol (E2), and eight related hormone ratios were explored on 54 pollutants from polychlorinated biphenyl (PCB), pesticide, and bisphenol families using stability-based Lasso regression analysis. Our results showed that each hormone was associated with a mixture of at least 10 examined pollutants. In particular, hair E2 concentration was associated with 19 pollutants, including γ-hexachlorocyclohexane, propoxur, permethrin, fipronil, mecoprop, prochloraz, and carbendazim. There were also associations between pollutants and hormone ratios, with pentachlorophenol, dimethylthiophosphate, 3-phenoxybenzoic acid, and flusilazole being related to both E1/AD and E2/T ratios. Our results suggest that exposure to background levels of pesticides PCB180 and bisphenol S may affect sex steroid hormone homeostasis among women of reproductive age.
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Affiliation(s)
- Feng-Jiao Peng
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Paul Palazzi
- Human Biomonitoring Research Unit, Department of Precision 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
| | - Emilie Adelin
- 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, Singapore 138623, Singapore
| | - Philippe Bastien
- 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 Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
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16
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Khademi N, Rajabi S, Fararouei M, Rafiee A, Azhdarpoor A, Hoseini M. Environmental exposure to organophosphate pesticides and effects on cognitive functions in elementary school children in a Middle Eastern area. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:111076-111091. [PMID: 37798522 DOI: 10.1007/s11356-023-30080-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Accepted: 09/21/2023] [Indexed: 10/07/2023]
Abstract
Although the fundamental reasons for cognitive function disorders have been well documented, little is known about the impact of environmental exposures, such as pesticides, on children's cognitive function development. This study investigated the effect of exposure to organophosphate pesticides on children's cognitive function. In order to determine various factors of exposure, hair samples were collected from 114 elementary school children who lived in Boyer-Ahmad County in the province of Kohgiluyeh and Boyer-Ahmad, Iran. A detailed questionnaire was utilized to gather demographic information and exposure profile. Pesticides were detected in hair samples using a gas chromatography-mass spectrometer (GC-MS); also, cognitive function was assessed using the trail-making test (TMT), which was divided into two parts: TMT-part A and TMT-part B. Participants in the study were 10.12 ± 1.440 years old on average. Children in rural areas had higher mean total pesticide concentrations (13.612 ± 22.01 ng/g) than those who lived in the urban areas (1.801 ± 1.32). The results revealed that boys (46.44 s and 92.37 s) completed the TMT-part A and part B tests in less time than girls (54.95 s and 109.82 s), respectively, and showed better performance (2.14) on the cognitive function exam than girls (2.07). Diazinon and TMT-part B were positively correlated (p < 0.05). With the increase in pesticides, there was no discernible difference in cognitive function. Pesticide use throughout a child's development may affect certain cognitive function indicators. In order to assess causal relationships, group studies and case studies are required because the current research was cross-sectional in nature.
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Affiliation(s)
- Nahid Khademi
- Department of Environmental Health Engineering, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Saeed Rajabi
- Department of Environmental Health Engineering, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohammad Fararouei
- Department of Epidemiology, School of Public Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ata Rafiee
- Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Abooalfazl Azhdarpoor
- Research Center for Health Sciences, Institute of Health, Department of Environmental Health, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohammad Hoseini
- Research Center for Health Sciences, Institute of Health, Department of Environmental Health, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
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17
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Ohoro CR, Wepener V. Review of scientific literature on available methods of assessing organochlorine pesticides in the environment. Heliyon 2023; 9:e22142. [PMID: 38045185 PMCID: PMC10692828 DOI: 10.1016/j.heliyon.2023.e22142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/21/2023] [Accepted: 11/05/2023] [Indexed: 12/05/2023] Open
Abstract
Organochlorine pesticides (OCPs) are persistent organic pollutants (POPs) widely used in agriculture and industry, causing serious health and ecological consequences upon exposure. This review offers a thorough overview of OCPs analysis emphasizing the necessity of ongoing work to enhance the identification and monitoring of these POPs in environmental and human samples. The benefits and drawbacks of the various OCPs analysis techniques including gas chromatography-mass spectrometry (GC-MS), gas chromatography-electron capture detector (GC-ECD), and liquid chromatography-mass spectrometry (LC-MS) are discussed. Challenges associated with validation and optimization criteria, including accuracy, precision, limit of detection (LOD), and limit of quantitation (LOQ), must be met for a method to be regarded as accurate and reliable. Suitable quality control measures, such as method blanks and procedural blanks, are emphasized. The LOD and LOQ are critical quality control measure for efficient quantification of these compounds, and researchers have explored various techniques for their calculation. Matrix interference, solubility, volatility, and partition coefficient influence OCPs occurrences and are discussed in this review. Validation experiments, as stated by European Commission in document SANTE/11813/2017, showed that the acceptance criteria for method validation of OCP analytes include ≤20 % for high precision, and 70-120 % for recovery. This may ultimately be vital for determining the human health risk effects of exposure to OCP and for formulating sensible environmental and public health regulations.
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Affiliation(s)
- Chinemerem Ruth Ohoro
- Water Research Group, Unit for Environmental Sciences and Management, North-West University, Potchefstroom, 2520, South Africa
| | - Victor Wepener
- Water Research Group, Unit for Environmental Sciences and Management, North-West University, Potchefstroom, 2520, South Africa
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18
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Gomez AL, Altamirano GA, Alcaraz MR, Montemurro M, Schierano-Marotti G, Oddi SL, Culzoni MJ, Muñoz-de-Toro M, Bosquiazzo VL, Kass L. Mammary Gland Development in Male Rats Perinatally Exposed to Propiconazole, Glyphosate, or their Mixture. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2023; 101:104184. [PMID: 37328086 DOI: 10.1016/j.etap.2023.104184] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 06/06/2023] [Accepted: 06/12/2023] [Indexed: 06/18/2023]
Abstract
This study aimed to assess whether perinatal exposure to propiconazole (PRO), glyphosate (GLY) or their mixture (PROGLY) alters key endocrine pathways and the development of the male rat mammary gland. To this end, pregnant rats were orally exposed to vehicle, PRO, GLY, or a mixture of PRO and GLY from gestation day 9 until weaning. Male offspring were euthanized on postnatal day (PND) 21 and PND60. On PND21, GLY-exposed rats showed reduced mammary epithelial cell proliferation, whereas PRO-exposed ones showed increased ductal p-Erk1/2 expression without histomorphological alterations. On PND60, GLY-exposed rats showed reduced mammary gland area and estrogen receptor alpha expression and increased aromatase expression, whereas PRO-exposed ones showed enhanced lobuloalveolar development and increased lobular hyperplasia. However, PROGLY did not modify any of the endpoints evaluated. In summary, PRO and GLY modified the expression of key molecules and the development of the male mammary gland individually but not together.
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Affiliation(s)
- Ayelen L Gomez
- Instituto de Salud y Ambiente del Litoral (ISAL, UNL-CONICET), Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina; Cátedra de Patología Humana, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina
| | - Gabriela A Altamirano
- Instituto de Salud y Ambiente del Litoral (ISAL, UNL-CONICET), Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina; Cátedra de Patología Humana, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina
| | - Mirta R Alcaraz
- Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina
| | - Milagros Montemurro
- Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina
| | - Gonzalo Schierano-Marotti
- Instituto de Salud y Ambiente del Litoral (ISAL, UNL-CONICET), Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina
| | - Sofia L Oddi
- Instituto de Salud y Ambiente del Litoral (ISAL, UNL-CONICET), Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina
| | - María J Culzoni
- Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina
| | - Mónica Muñoz-de-Toro
- Instituto de Salud y Ambiente del Litoral (ISAL, UNL-CONICET), Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina; Cátedra de Patología Humana, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina
| | - Verónica L Bosquiazzo
- Instituto de Salud y Ambiente del Litoral (ISAL, UNL-CONICET), Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina; Departamento de Bioquímica Clínica y Cuantitativa, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina
| | - Laura Kass
- Instituto de Salud y Ambiente del Litoral (ISAL, UNL-CONICET), Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina; Cátedra de Patología Humana, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina.
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19
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Faÿs F, Palazzi P, Zeman F, Hardy EM, Schaeffer C, Rousselle C, Beausoleil C, Appenzeller BMR. Incorporation of Fast-Elimination Chemicals in Hair Is Governed by Pharmacokinetics-Implications for Exposure Assessment. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:7336-7345. [PMID: 37146304 DOI: 10.1021/acs.est.2c06777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Mechanisms governing chemicals' incorporation in hair are incompletely understood, and gaps remain to link the concentration of chemicals in hair to level of exposure and internal dose present in the body. This study assesses the relevance of hair analysis for the biomonitoring of exposure to fast-elimination compounds and investigates the role of pharmacokinetics (PK) in their incorporation in hair. Rats were administered with pesticides, bisphenols, phthalates, and DINCH over 2 months. Hairs were analyzed for 28 chemicals/metabolites to investigate correlations between their concentration in hair and the dose administered to the animals. Urine collected over 24 h after gavage was used to determine chemicals' PK and to investigate their influence on incorporation into hair by means of linear mixed models (LMMs). Eighteen chemicals presented a significant correlation between concentration in hair and level of exposure. In models combining all chemicals, agreement between concentration in hair predicted by LMM and experimental values was moderate (R2 = 0.19) but significantly increased when PK were included in the models (R2 = 0.37), and even more when chemical families were considered separately (e.g., R2 = 0.98 for pesticides). This study shows that pharmacokinetics mediate incorporation of chemicals in hair and suggests the relevance of hair for assessing exposure to fast-elimination chemicals.
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Affiliation(s)
- François Faÿs
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
- University of Luxembourg, 2, avenue de l'Université, L-4365 Esch-sur-Alzette, Luxembourg
| | - Paul Palazzi
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Florence Zeman
- Institut national de l'environnement industriel et des risques (INERIS), Direction des Risques Chroniques, Pôle Dangers et Impact sur le Vivant, Unité Modèle pour l'Ecotoxicologie et la Toxicologie (METO), Parc Technologique Alata, 60550 Verneuil-en-Halatte, France
| | - Emilie M Hardy
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Charline Schaeffer
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Christophe Rousselle
- ANSES, Risk Assessment Department, 14 rue Pierre et Marie Curie, 94701 Maisons-Alfort, France
| | - Claire Beausoleil
- ANSES, Risk Assessment Department, 14 rue Pierre et Marie Curie, 94701 Maisons-Alfort, France
| | - Brice M R Appenzeller
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
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20
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Li M, Tang B, Zheng J, Luo W, Xiong S, Ma Y, Ren M, Yu Y, Luo X, Mai B. Typical organic contaminants in hair of adult residents between inland and coastal capital cities in China: Differences in levels and composition profiles, and potential impact factors. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 869:161559. [PMID: 36649778 DOI: 10.1016/j.scitotenv.2023.161559] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 12/20/2022] [Accepted: 01/08/2023] [Indexed: 06/17/2023]
Abstract
The growing of urbanization, industrialization, and agricultural production have resulted in the increasing contamination of typical organic contaminants (OCs) in China. However, data on differences in exposure characteristics of typical OCs between the coastal and inland cities among residents in China are limited. In this study, hair samples were collected from adult residents in 10 and 17 provincial capital cities in coastal and inland China, respectively, to investigate the differences in the levels and composition profiles of typical OCs. The potential factors impacting the human exposure to OCs were also examined based on the relationship among the hair OC levels and the population characteristics and statistical indicators. The median concentrations of dichlorodiphenyltrichloroethane's (DDTs), polybrominated diphenyl ethers (PBDEs), and organophosphorus flame retardants (PFRs) in hair of coastal urban residents were 3.64, 5.58, and 268 ng/g, respectively, while their concentrations in samples from inland urban residents were 1.84, 3.85, and 202 ng/g, respectively. Coastal residents showed significantly higher hair OC concentrations than inland residents (p < 0.05). BDE209 and p,p'-DDE were the predominant chemicals for PBDEs and DDTs, respectively, in both coastal and inland cities. Tris(2-chloroisopropyl) phosphate (TCIPP) was the dominant PFR in coastal residents' hair, while triphenyl phosphate (TPHP) was the major PFR in inland residents' hair, possibly owing to the different usages of the PFRs. Significant gender differences were observed in the levels and composition profiles of OCs (p < 0.05). The levels of p,p'-DDE and TCIPP were significantly related to the gross domestic product (GDP), gross secondary industry product, and the per capita consumption of aquatic products (p < 0.05). This study provides scientific data for evaluating human exposure to OCs in urban residents at a large scale and its associations with statistical indicators including urbanization, industrialization, agricultural production, and diet in China.
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Affiliation(s)
- Min Li
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China; State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Resources Utilization and Protection, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China
| | - Bin Tang
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Jing Zheng
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China.
| | - Weikeng Luo
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Shimao Xiong
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Yan Ma
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Mingzhong Ren
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Yunjiang Yu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Xiaojun Luo
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Resources Utilization and Protection, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China; Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China
| | - Bixian Mai
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Resources Utilization and Protection, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China; Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China
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21
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Han M, Ma A, Dong Z, Yin J, Shao B. Organochlorine pesticides and polycyclic aromatic hydrocarbons in serum of Beijing population: Exposure and health risk assessment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 860:160358. [PMID: 36436633 DOI: 10.1016/j.scitotenv.2022.160358] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 11/05/2022] [Accepted: 11/16/2022] [Indexed: 06/16/2023]
Abstract
Organochlorine pesticides (OCPs) and polycyclic aromatic hydrocarbons (PAHs) are widespread environmental contaminants, but large-scale human biomonitoring and health risk assessment data on these contaminants remain limited. In this study, concentrations of 6 OCPs and 5 PAHs were determined by GC-MS/MS in 1268 human serum samples which were collected from the participants in 2017 Beijing Chronic Disease and Risk Factor Surveillance. The detection frequencies of OCPs and PAHs ranged from 64.7 % to 96.5 % and 89.4 % to 99.6 %, respectively. The most abundant contaminants in OCPs and PAHs were pentachlorophenol (PCP) and pyrene (Pyr) with median concentrations reaching up to 3.13 and 8.48 μg/L, respectively. Nonparametric tests were employed to assess the correlations among contaminants levels, demographic characteristics (age, gender, body mass index, residence) and serum biochemical indexes. Significantly higher serum levels of all PAHs were observed in suburb residents than that in urban residents (P < 0.001). Binary logistic regression analysis demonstrated that exposure to benzo(a)pyrene (OR 2.17 [1.29, 3.63]), phenanthrene (OR 1.06 [1.02, 1.11]), fluoranthene (OR 1.04 [1.02, 1.07]) and Pyr (OR 1.02 [1.01, 1.03]) might increase the occurrence of hyperglycemia, and exposure to hexachlorobenzene (HCB) (OR 1.53 [1.05, 2.22]) and pentachlorobenzene (OR 1.14 [1.02, 1.27]) were positively associated with hyperlipidemia. Furthermore, the hazard quotients (HQs) for serum HCB, PCP and p,p'-dichlorodiphenyldichloroethylene were calculated based on health-based guidance values to predict health risks. 0.2 % and 4.3 % of serum samples showed HQ values exceeding 1 for HCB and PCP, respectively, in case of the non-carcinogenic risk, while 23.1 % of HQs for HCB were above 1 in case of the carcinogenic risk for a risk level 10-5. Our study reveals that the body burden of the Beijing general population relative to OCPs and PAHs was nonnegligible. The past exposure of HCB and PCP might adversely affect the health status of the Beijing population.
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Affiliation(s)
- Muke Han
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - Aijuan Ma
- Institute of Non-communicable Chronic Disease Control and Prevention, Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - Zhong Dong
- Institute of Non-communicable Chronic Disease Control and Prevention, Beijing Center for Disease Prevention and Control, Beijing 100013, China.
| | - Jie Yin
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing 100013, China.
| | - Bing Shao
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing 100013, China
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22
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Nguyen KN, Saxena R, Re DB, Yan B. Rapid LC-MS/MS quantification of Organophosphate non-specific metabolites in hair using alkaline extraction approach. J Chromatogr B Analyt Technol Biomed Life Sci 2023; 1217:123619. [PMID: 36774786 PMCID: PMC10474783 DOI: 10.1016/j.jchromb.2023.123619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 01/12/2023] [Accepted: 01/23/2023] [Indexed: 02/05/2023]
Abstract
Assessing human exposure to commonly used, highly toxic, but non-persistent organophosphates (OPs) is challenging because these toxicants are readily biotransformed into dialkyl phosphates (DAPs) and other metabolites. Growing hair accumulates toxicants and their metabolites, which makes hair a valuable non-invasively sampled matrix that can be used to retrospectively examine chemical exposure. However, the efficient quantification of hydrophilic DAP compounds in hair is challenging due to complex hair matrix effects. To improve upon existing methods, we first examined the acid dissociation constants (pKa) of DAPs and amino acids (major components in hair) and identified the best pH conditions for minimizing matrix effects. We hypothesized that under basic pH conditions DAPs and amino acids would be negatively charged and have weak interactions favorable to DAP dissociation from the matrix. To test this, we compared the efficiency of various pH conditions of suitable solvents to extract six DAPs from hair samples, and we quantified these DAPs using liquid chromatography-tandem mass spectroscopy (LC-MS/MS). As expected, a basic extraction (methanol with 2% NH4OH) approach had the highest extraction efficiency and yielded satisfactory recoveries for all six DAPs (72%-152%) without matrix effects. Additionally, the alkaline extract can be directly injected into the LC-MS/MS. This relatively rapid and simple procedure allowed us to process up to 90 samples per week with reproducible results. To our knowledge, this is the first method to quantify all six DAPs simultaneously in hair using LC-MS/MS with electrospray ionization (ESI) in negative ion mode. Finally, we demonstrated the feasibility of measuring DAP levels in hair samples from patients affected with amyotrophic lateral sclerosis (ALS), a neurodegenerative disease potentially linked to OP exposure. Due to our optimized solvent extraction process, the method we have developed is compatible with the rapidity and sensitivity needed for hair analysis applied to population biomonitoring.
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Affiliation(s)
- Khue N Nguyen
- Lamont Doherty Earth Observatory, Columbia University, Palisades, NY, USA
| | - Roheeni Saxena
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA; NIEHS Center for Environmental Health and Justice in Northern Manhattan, Columbia University, New York, NY 10032, USA
| | - Diane B Re
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA; NIEHS Center for Environmental Health and Justice in Northern Manhattan, Columbia University, New York, NY 10032, USA
| | - Beizhan Yan
- Lamont Doherty Earth Observatory, Columbia University, Palisades, NY, USA; NIEHS Center for Environmental Health and Justice in Northern Manhattan, Columbia University, New York, NY 10032, USA.
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23
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Tang B, Zheng J, Xiong SM, Cai FS, Li M, Ma Y, Gao B, Du DW, Yu YJ, Mai BX. The accumulation of organic contaminants in hair with different biological characteristics. CHEMOSPHERE 2023; 312:137064. [PMID: 36334734 DOI: 10.1016/j.chemosphere.2022.137064] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 10/22/2022] [Accepted: 10/27/2022] [Indexed: 06/16/2023]
Abstract
Human hair has increasingly been used as a noninvasive biomonitoring matrix for assessment of human exposure to various organic contaminants (OCs). However, the accumulation processes of OCs in hair remains unclear thus far, which raised concerns on the reliability of hair analysis results for OCs. Herein, Chinese population was selected as the study subject, the effects of changes in hair biological characteristics, including length and color, on the accumulation of OCs in hair was investigated. With the growing of hair shaft and the increased distance from the scalp, a significant increasing trend was found for levels of polychlorinated biphenyls (PCBs) and organophosphate flame retardants (PFRs) along the hair shafts (p < 0.05). Source identification using Chemical Mass Balance model indicated that PCBs in hair were mainly from exogenous sources (air and dust). The accumulation rates of PCB and PFR individuals in the hair shaft decreased with increasing of log Kow values. Additionally, the levels of OCs in hair decreased with the change in color from black to white, probably because of the loss of melanin in white hair. The ratios (R) of Cblack/Cwhite were significantly correlated with the log Kow values for individual chemicals (p < 0.05), implying that OCs with high log Kow values tend to accumulate more readily in black hair. The results of this study demonstrated the growth and change in colors of hair, as well as the physicochemical properties of chemicals, play vital roles in the accumulation of OCs in hair. The present study provides fundamental basis for the precise assessment of human exposure to OCs using hair as a biomonitoring matrix in future studies.
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Affiliation(s)
- Bin Tang
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510530, PR China
| | - Jing Zheng
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510530, PR China; School of Public Health, Key Laboratory of Environmental Pollution and Disease Monitoring of Ministry of Education, Guizhou Medical University, Guiyang 550000, PR China.
| | - Shi-Mao Xiong
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510530, PR China; School of Public Health, Key Laboratory of Environmental Pollution and Disease Monitoring of Ministry of Education, Guizhou Medical University, Guiyang 550000, PR China
| | - Feng-Shan Cai
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510530, PR China; 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; University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Min Li
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510530, PR China
| | - Yan Ma
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510530, PR China
| | - Bo Gao
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510530, PR China
| | - Dong-Wei Du
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510530, PR China
| | - Yun-Jiang Yu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510530, PR China
| | - Bi-Xian Mai
- 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; Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Chinese Academy of Sciences, Guangzhou Institute of Geochemistry, Guangzhou 510640, PR China
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24
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Wang S, Zhang T, Jia L, Yang P, He P, Xiao F, Zhou P, Wang Y, Wang X. Electrochemical reduction of nickel selenide/reduced graphene oxide nanocomposites: highly sensitive detection of 4-nitrophenol. Microchem J 2022. [DOI: 10.1016/j.microc.2022.108252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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25
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Peng FJ, Palazzi P, Viguié C, Appenzeller BMR. Measurement of hair thyroid and steroid hormone concentrations in the rat evidence endocrine disrupting potential of a low dose mixture of polycyclic aromatic hydrocarbons. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 313:120179. [PMID: 36116566 DOI: 10.1016/j.envpol.2022.120179] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 08/04/2022] [Accepted: 09/10/2022] [Indexed: 06/15/2023]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) have been shown to influence endogenous hormones levels in animal models, but little is known about the effects of their mixtures. For hormone measurements, hair analysis is a promising approach to provide information on long-term status of hormones. Herein we used hair analysis to assess the combined effects of 13 PAHs on steroid and thyroid hormones levels in a rat model. The PAH mixture was administered orally three times per week to female rats at doses of 0, 10, 20, 40, 80, 200, 400 and 800 μg/kg of body weight for each compound over a 90-day exposure period. Fourteen out of 36 analyzed hormones were detected in rat hair, including pregnenolone (P5), 17α-hydroxyprogesterone (17-OHP4), corticosterone (CORT), dehydroepiandrosterone (DHEA), androstenedione (AD), 3,3'-diiodo-L-thyronine (T2), 3,3',5-triiodo-L-thyronine (T3), and 3,5,3',5'-triiodo-L-thyronine (T4). The PAH mixture significantly elevated P5 and DHEA levels at the doses of 200 and 400 μg/kg but reduced T2 and T3 levels at the highest dose as compared to the control. While P5, DHEA, 17-OHP4 and AD concentrations exhibited inverted U-shaped dose responses, T2, T3 and T4 concentrations exhibited inverse linear dose responses, which are further confirmed by their relationships with hair hydroxylated PAHs (OH-PAHs) concentrations. Likewise, there were significant nonmonotonic relationships of hormone molar ratios (e.g., AD/17-OHP4 and DHEA/CORT ratios) with exposure intensity and OH-PAHs. Overall, our results demonstrate the capability of PAH mixtures to interfere with steroid and thyroid hormones in female rats.
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Affiliation(s)
- Feng-Jiao Peng
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B Rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Paul Palazzi
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B Rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Catherine Viguié
- Toxalim (Research Center in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, 31300, Toulouse, France
| | - Brice M R Appenzeller
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B Rue Thomas Edison, 1445 Strassen, Luxembourg.
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26
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Chupeau Z, Mercier F, Rouxel E, Le Bot B, Chauvet G, Siméon T, Bonvallot N, Zaros C, Chevrier C, Glorennec P. Pre- and post-natal exposure of children to organophosphate flame retardants: A nationwide survey in France. ENVIRONMENT INTERNATIONAL 2022; 168:107435. [PMID: 35994798 DOI: 10.1016/j.envint.2022.107435] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 07/19/2022] [Accepted: 07/23/2022] [Indexed: 06/15/2023]
Abstract
The use of organophosphate flame retardants (OPFRs) has been on the rise ever since many brominated flame retardants were banned, back in the 2000 s. The objectives of this study are to describe the pre- and post-natal exposure of children to OPFRs, and to explore their possible determinants. A total of 259 children aged 3.5 years and 388 mothers from the French ELFE mother-child cohort were included. Both pre- and post-natal exposure to OPFRs were assessed, using OPFR concentrations in the hair of pregnant women (in 2011) and their 3.5-year-old children (in 2014-2015) for 15 OPFRs, of which 9 were detected in > 20 % hair samples. The highest geometric means for pre-natal exposure were 272 ng/g for tris(1-chloro-2-propyl) phosphate (TCPP), 69.7 ng/g for ng/g for triphenyl phosphate (TPP) and 54.4 ng/g for tris(1,3-dichloro-2-propyl) phosphate (TDCPP). The highest geometric means for post-natal exposure were 249.6 ng/g for TCPP, 85.3 ng/g for TDCPP and 83.8 ng/g for 2-ethylhexyl diphenyl phosphate (EHDPP). Correlations were found between both pre-natal exposures, and between pre-and post-natal exposures. No correlation was however found between pre-and post-natal exposures for any given OPFR. Pre-natal exposure to the 9 OPFRs was associated with pre-natal exposure to polybrominated diphenyl ethers 209 (BDE209), and 47 (BDE47). Maternal BMI was associated with pre-natal exposure to OPFRs other than TBEP. Home renovation work prior to birth was also associated with pre-natal exposure to OPFRs, with the exception of EHDPP, tris(2-butoxyethyl) phosphate (TBEP) and triethyl phosphate (TEP). Determinants of post-natal exposure appeared more disparate across OPFRs; although both the type of flooring in children's rooms and pre-natal exposure to polybrominated diphenyl ethers seem to be associated with post-natal exposure. Lastly, higher socioeconomic status appeared to be associated with lower exposure for several (though not all) OPFRs. The high prevalence of exposure to OPFRs suggests the need for studies to assess the health effects of OPFRs exposure, particularly on children.
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Affiliation(s)
- Z Chupeau
- Univ Rennes, EHESP, Inserm, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | - F Mercier
- Univ Rennes, EHESP, Inserm, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | - E Rouxel
- Univ Rennes, EHESP, Inserm, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | - B Le Bot
- Univ Rennes, EHESP, Inserm, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | - G Chauvet
- Ensai (Irmar), Campus de Ker Lann, Bruz, France
| | | | - N Bonvallot
- Univ Rennes, EHESP, Inserm, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | | | - C Chevrier
- Univ Rennes, EHESP, Inserm, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | - P Glorennec
- Univ Rennes, EHESP, Inserm, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France.
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27
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Peng FJ, Palazzi P, Viguié C, Appenzeller BMR. Hormonal profile changes induced by pesticide mixture exposure in female rats revealed by hair analysis. CHEMOSPHERE 2022; 303:135059. [PMID: 35643162 DOI: 10.1016/j.chemosphere.2022.135059] [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: 03/15/2022] [Revised: 05/13/2022] [Accepted: 05/19/2022] [Indexed: 06/15/2023]
Abstract
Pesticide exposure has been associated with hormonal disruption in both animals and humans. However, there is limited knowledge of the combined effects of complex mixtures of pesticides on endogenous hormone levels. Here, we used hair analysis to assess the impact of a pesticide mixture comprising 19 components from multiple chemical classes at eight doses of 0-400 μg/kg body weight (bw) three times per week per component on concentrations of 36 steroid and thyroid hormones in female rats over a 90-day exposure period. We detected 13 hormones in rat hair, namely estradiol (E2), androstenedione (AD), testosterone (T), dehydroepiandrosterone (DHEA), dehydroepiandrosterone sulfate (DHEAS), pregnenolone (P5), progesterone (P4), 11-deoxycorticosterone (11-DOC), corticosterone (CORT), 3,3'-l-diiodothyronine (T2), 3,5,3'-l-triiodothyronine (T3), 3,3',5'-l-triiodothyronine (rT3), and 3,5,3',5'-l-tetraiodothyronine (T4). In comparison to the control group, hair E2 concentration was significantly lower in the two highest (200 and 400 μg/kg bw) exposure groups, whereas hair DHEAS and CORT concentrations were significantly higher in the 40 μg/kg bw and the highest exposure groups, respectively. Results from generalized additive models suggest that pesticide exposure resulted in monotonic dose responses in hair E2 concentration, CORT concentration and DHEA/CORT molar ratio but nonmonotonic dose responses in hair T concentration, DHEAS concentration, P4/P5 and DHEA/DHEAS molar ratios. The associations of E2, CORT and DHEA/CORT ratio with exposure intensity were confirmed by their significant linear relationships with hair concentrations of at least 23 of the 25 exposure biomarkers analyzed. Our results demonstrate that exposure to low levels of the pesticide mixture evaluated here can alter hair reproductive and adrenal hormones levels.
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Affiliation(s)
- Feng-Jiao Peng
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445, Strassen, Luxembourg
| | - Paul Palazzi
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445, Strassen, Luxembourg
| | - Catherine Viguié
- Toxalim (Research Center in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, 31300, Toulouse, France
| | - Brice M R Appenzeller
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445, Strassen, Luxembourg.
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28
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Avila BS, Ramírez C, Tellez-Ávila E. Human Biomonitoring of Polychlorinated Biphenyls (PCBs) in the Breast Milk of Colombian Mothers. BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2022; 109:526-533. [PMID: 35867133 DOI: 10.1007/s00128-022-03577-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 06/27/2022] [Indexed: 06/15/2023]
Abstract
Polychlorinated biphenyls (PCBs) are persistent in the environment, bioaccumulate and biomagnify throughout the food chain, and may have adverse effects on human health and wildlife. PCB indicator (PCB 28, PCB 52, PCB 101, PCB 118, PCB 138, PCB 153, and PCB 180) were monitored in human milk using 68 samples from healthy and primiparous mothers from seven cities in Colombia, and the estimated daily intake (EDI) of infants was calculated. The PCB indicator with the highest concentration was PCB 153 with a value of 7.30 ng g-1 lipids. The maximum EDI was calculated as 0.257 μg kg-1 bw-1 day-1. In general, the PCB levels found in the 68 samples were low and did not represent a risk to breastfed infants. Additionally, these results could strengthen Colombia's efforts to increase the practice of breastfeeding. Finally, the results establish a general overview of population exposure and can be a scientific tool to improve environmental health policies in the country.
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Affiliation(s)
- Boris Santiago Avila
- Environmental and Laboral Health Group, National Institute of Health, 111321, Bogotá D.C., Colombia.
- Facultad de Ingeniería, Sede de Investigación Universitaria, Grupo Diagnostico y Control de la Contaminación, Universidad de Antioquia, Calle 62 No 52-59, 050010, Medellín, Colombia.
| | - Carolina Ramírez
- Environmental and Laboral Health Group, National Institute of Health, 111321, Bogotá D.C., Colombia
| | - Eliana Tellez-Ávila
- Environmental and Laboral Health Group, National Institute of Health, 111321, Bogotá D.C., Colombia
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29
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Iglesias-González A, Schweitzer M, Palazzi P, Peng F, Haan S, Letellier E, Appenzeller BMR. Investigating children's chemical exposome - Description and possible determinants of exposure in the region of Luxembourg based on hair analysis. ENVIRONMENT INTERNATIONAL 2022; 165:107342. [PMID: 35714525 DOI: 10.1016/j.envint.2022.107342] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 06/03/2022] [Accepted: 06/08/2022] [Indexed: 06/15/2023]
Abstract
The specific physiology and behaviour of children makes them particularly vulnerable to chemical exposure. Specific studies must therefore be conducted to understand the impact of pollution on children's health. Human biomonitoring is a reliable approach for exposure assessment, and hair, allowing the detection of parent chemicals and metabolites, and covering wider time windows than urine and blood is particularly adapted to study chronic exposure. The present study aims at assessing chemical exposure and investigating possible determinants of exposure in children living in Luxembourg. Hair samples were collected from 256 children below 13 y/o and tested for 153 compounds (140 pesticides, 4 PCBs, 7 BDEs and 2 bisphenols). Moreover, anthropometric parameters, information on diet, residence, and presence of pets at home was collected through questionnaires. Correlations, regressions, t-tests, PLS-DA and MANOVAs, were used to investigate exposure patterns. Twenty-nine to 88 (median = 61) compounds were detected per sample. The highest median concentration was observed for BPA (133.6 pg/mg). Twenty-three biomarkers were detected in ≥ 95% of the samples, including 13 in all samples (11 pesticides, BPA and BPS). Exposure was higher at younger ages (R2 = 0.57), and boys were more exposed to non-persistent pesticides than girls. Presence of persistent organic pollutants in most children suggests that exposure is still ongoing. Moreover, diet (e.g. imazalil: 0.33 pg/mg in organic, 1.15 pg/mg in conventional, p-value < 0.001), residence area (e.g. imidacloprid: 0.29 pg/mg in urban, 0.47 pg/mg in countryside, p-value = 0.03), and having pets (e.g. fipronil: 0.32 pg/mg in pets, 0.09 pg/mg in no pets, p-value < 0.001) were identified as determinants of exposure. The present study demonstrates that children are simultaneously exposed to multiple pollutants from different chemical classes, and confirms the suitability of hair to investigate exposure. These results set the basis for further investigations to better understand the determinants of chemical exposure in children.
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Affiliation(s)
- Alba Iglesias-González
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B Rue Thomas Edison, L-1445 Strassen, Luxembourg; University of Luxembourg, 2 Avenue de l'Universite, L- 4365 Esch-sur-Alzette, Luxembourg.
| | - Mylène Schweitzer
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B Rue Thomas Edison, L-1445 Strassen, Luxembourg
| | - Paul Palazzi
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B Rue Thomas Edison, L-1445 Strassen, Luxembourg
| | - Fengjiao Peng
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B Rue Thomas Edison, L-1445 Strassen, Luxembourg
| | - Serge Haan
- Molecular Disease Mechanisms Group, Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine, University of Luxembourg, 6, avenue du Swing L-4367 Belvaux, Luxembourg
| | - Elisabeth Letellier
- Molecular Disease Mechanisms Group, Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine, University of Luxembourg, 6, avenue du Swing L-4367 Belvaux, Luxembourg
| | - Brice M R Appenzeller
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B Rue Thomas Edison, L-1445 Strassen, Luxembourg
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30
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Vyas T, Singh V, Kodgire P, Joshi A. Insights in detection and analysis of organophosphates using organophosphorus acid anhydrolases (OPAA) enzyme-based biosensors. Crit Rev Biotechnol 2022; 43:521-539. [PMID: 35504858 DOI: 10.1080/07388551.2022.2052012] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The human population is dependent on agriculture for its food requirements and survival. Several insecticides and pesticides have found their use for improvements in agricultural yields. Organophosphates (OP) are one of the many compounds used as insecticides and pesticides. OPs have also been used to develop G and V-series chemicals which act as highly toxic nerve agents that can severely influence the normal function of the nervous system in all living beings. Thus, OP compounds utilized as insecticides/pesticides and nerve agents are hazardous to the environment, lethal for humans and other non-target animals. To avoid their toxicity, approaches to detect and neutralize them have become essential. A variety of analytical procedures such as electrochemical processes and chromatography methods, namely liquid and gas chromatography, have been employed to detect OPs. Though these techniques are sensitive and highly accurate they suffer from drawbacks, for instance: their bulky nature and expensive instrumentation, the difficulty of operation, long detection times, and they can yield unpredictable results with variable sample complexities. With the advent of several types of biosensors, the assay of OP compounds has become simpler, faster, cost-effective with improved sensitivity, and provides the capability for onsite detection. OP biosensor assays typically utilize several enzymes with the capability to hydrolyze/degrade OP compounds, such as organophosphate hydrolase (OPH) and organophosphate acid hydrolase (OPAA). This review focuses on discussing various aspects of OPAA as biological recognition unit in terms of its: structure, properties, activity enhancement methods, and utilization for developing OPAA-based biosensing technologies for insecticides, pesticides, and nerve agents.
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Affiliation(s)
- Tanmay Vyas
- Department of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Indore, India
| | - Vinay Singh
- Department of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Indore, India
| | - Prashant Kodgire
- Department of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Indore, India
| | - Abhijeet Joshi
- Department of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Indore, India
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31
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Xu Z, Wan Y, Xia W, Zhou L, Wang A, Shi L, Guo Y, He Z, Xu S, Zhang R. Fipronil and its metabolites in human seminal plasma from Shijiazhuang, north China. CHEMOSPHERE 2022; 289:133238. [PMID: 34896427 DOI: 10.1016/j.chemosphere.2021.133238] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 11/08/2021] [Accepted: 12/08/2021] [Indexed: 06/14/2023]
Abstract
Fipronil (FP) is an emerging insecticide which could induce reproductive toxicity in male rats at very low dosage, but the occurrence of FP and its transformation products (FPs) in human seminal plasma and their impacts on human semen quality have not been documented. In this study, FPs including FP, fipronil desulfinyl (FP-DES), fipronil sulfone (FP-SFO), fipronil amide (FP-AM), and fipronil sulfide (FP-SFI), were measured in seminal plasma samples (n = 200), which were collected from Shijiazhuang, north China. The cumulative concentration of FPs (ΣFPs), in the seminal plasma samples ranged from 0.003 to 0.180 ng/mL (median: 0.043 ng/mL). FP-SFO was the major target analyte (median: 0.040 ng/mL), accounting for approximately 42.3-100.0% of the ΣFPs. Significantly higher exposure levels of FPs were found in the overweight or obese group (≥25 kg/m2) vs. the normal BMI group (18.5-25 kg/m2) (ΣFPs: 0.047 vs. 0.033 ng/mL), never smoking group vs. current smoking group (ΣFPs: 0.057 vs. 0.037 ng/mL), and low sexual frequency group (<1 time/week) vs. high sexual frequency group (≥3 times/week) (ΣFPs: 0.048 vs. 0.030 ng/mL). No significant association between FPs and impaired semen quality parameter was found in this study. This is the first time to report FPs' occurrence in human seminal plasma and variations in their concentrations among people with different demographic and behavioral characteristics. Further studies on adverse effects of exposure to FPs on reproductive function are needed.
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Affiliation(s)
- Ziyuan Xu
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, PR China.
| | - Yanjian Wan
- Institute of Environmental Health, Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei, 430024, PR China.
| | - Wei Xia
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, PR China.
| | - Lixiao Zhou
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang, 050017, PR China; Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, 050017, PR China.
| | - Aizhen Wang
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, PR China.
| | - Lisha Shi
- Division of Public Health Service and Safety Assessment, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 200336, PR China.
| | - Yinsheng Guo
- Environment and Health Department, Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, 518055, PR China.
| | - Zhenyu He
- Institute of Environmental Health, Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei, 430024, PR China.
| | - Shunqing Xu
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, PR China.
| | - Rong Zhang
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang, 050017, PR China; Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, 050017, PR China.
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32
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Chen D, Li J, Zhao Y, Wu Y. Human Exposure of Fipronil Insecticide and the Associated Health Risk. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:63-71. [PMID: 34971309 DOI: 10.1021/acs.jafc.1c05694] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Fipronil, as an emerging phenylpyrazole insecticide, is ubiquitous in the environment and food due to its broad spectrum and persistent characteristics, but the research on pathways of human exposure to fipronil and the associated health risk is relatively unclear. In this regard, we summarize potential human exposures to fipronil through ingestion and inhalation, as well as results of human biomonitoring studies. This scientific information will contribute to future assessment of fipronil exposure and subsequent characterization of human health risks. Additionally, this Perspective highlights the lack of epidemiological studies and total diet studies for the general population on fipronil.
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Affiliation(s)
- Dawei Chen
- NHC Key Laboratory of Food Safety Risk Assessment, Chinese Academy of Medical Science Research Unit (2019RU014), China National Center for Food Safety Risk Assessment, Beijing 100021, China
| | - Jingguang Li
- NHC Key Laboratory of Food Safety Risk Assessment, Chinese Academy of Medical Science Research Unit (2019RU014), China National Center for Food Safety Risk Assessment, Beijing 100021, China
| | - Yunfeng Zhao
- NHC Key Laboratory of Food Safety Risk Assessment, Chinese Academy of Medical Science Research Unit (2019RU014), China National Center for Food Safety Risk Assessment, Beijing 100021, China
| | - Yongning Wu
- NHC Key Laboratory of Food Safety Risk Assessment, Chinese Academy of Medical Science Research Unit (2019RU014), China National Center for Food Safety Risk Assessment, Beijing 100021, China
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Dusza HM, Manz KE, Pennell KD, Kanda R, Legler J. Identification of known and novel nonpolar endocrine disruptors in human amniotic fluid. ENVIRONMENT INTERNATIONAL 2022; 158:106904. [PMID: 34607043 DOI: 10.1016/j.envint.2021.106904] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 09/22/2021] [Accepted: 09/23/2021] [Indexed: 05/25/2023]
Abstract
BACKGROUND Prenatal exposure to endocrine-disrupting compounds (EDCs) may contribute to endocrine-related diseases and disorders later in life. Nevertheless, data on in utero exposure to these compounds are still scarce. OBJECTIVES We investigated a wide range of known and novel nonpolar EDCs in full-term human amniotic fluid (AF), a representative matrix of direct fetal exposure. METHODS Gas chromatography high-resolution mass spectrometry (GC-HRMS) was used for the targeted and non-targeted analysis of chemicals present in nonpolar AF fractions with dioxin-like, (anti-)androgenic, and (anti-)estrogenic activity. The contribution of detected EDCs to the observed activity was determined based on their relative potencies. The multitude of features detected by non-targeted analysis was tentatively identified through spectra matching and data filtering, and further investigated using curated and freely available sources to predict endocrine activity. Prioritized suspects were purchased and their presence in AF was chemically and biologically confirmed with GC-HRMS and bioassay analysis. RESULTS Targeted analysis revealed 42 known EDCs in AF including dioxins and furans, polybrominated diphenyl ethers, pesticides, polychlorinated biphenyls, and polycyclic aromatic hydrocarbons. Only 30% of dioxin activity and <1% estrogenic and (anti-)androgenic activity was explained by the detected compounds. Non-targeted analysis revealed 14,110 features of which 3,243 matched with library spectra. Our data filtering strategy tentatively identified 121 compounds. Further data mining and in silico predictions revealed in total 69 suspected EDCs. We selected 14 chemicals for confirmation, of which 12 were biologically active and 9 were chemically confirmed in AF, including the plasticizer diphenyl isophthalate and industrial chemical p,p'-ditolylamine. CONCLUSIONS This study reveals the presence of a wide variety of nonpolar EDCs in direct fetal environment and for the first time identifies novel EDCs in human AF. Further assessment of the source and extent of human fetal exposure to these compounds is warranted.
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Affiliation(s)
- Hanna M Dusza
- Division of Toxicology, Institute for Risk Assessment Sciences, Department of Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, 3584 CM Utrecht, the Netherlands.
| | - Katherine E Manz
- School of Engineering, Brown University, Providence, RI 02912, United States
| | - Kurt D Pennell
- School of Engineering, Brown University, Providence, RI 02912, United States
| | - Rakesh Kanda
- Institute of Environment, Health and Societies, Brunel University London, Uxbridge, UB8 3PH, Middlesex, United Kingdom
| | - Juliette Legler
- Division of Toxicology, Institute for Risk Assessment Sciences, Department of Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, 3584 CM Utrecht, the Netherlands
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