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You L, Kou J, Wang M, Ji G, Li X, Su C, Zheng F, Zhang M, Wang Y, Chen T, Li T, Zhou L, Shi X, Zhao C, Liu X, Mei S, Xu G. An exposome atlas of serum reveals the risk of chronic diseases in the Chinese population. Nat Commun 2024; 15:2268. [PMID: 38480749 PMCID: PMC10937660 DOI: 10.1038/s41467-024-46595-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 03/04/2024] [Indexed: 03/17/2024] Open
Abstract
Although adverse environmental exposures are considered a major cause of chronic diseases, current studies provide limited information on real-world chemical exposures and related risks. For this study, we collected serum samples from 5696 healthy people and patients, including those with 12 chronic diseases, in China and completed serum biomonitoring including 267 chemicals via gas and liquid chromatography-tandem mass spectrometry. Seventy-four highly frequently detected exposures were used for exposure characterization and risk analysis. The results show that region is the most critical factor influencing human exposure levels, followed by age. Organochlorine pesticides and perfluoroalkyl substances are associated with multiple chronic diseases, and some of them exceed safe ranges. Multi-exposure models reveal significant risk effects of exposure on hyperlipidemia, metabolic syndrome and hyperuricemia. Overall, this study provides a comprehensive human serum exposome atlas and disease risk information, which can guide subsequent in-depth cause-and-effect studies between environmental exposures and human health.
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Affiliation(s)
- Lei You
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, 116023, China
| | - Jing Kou
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, # 13 Hangkong Road, Wuhan, Hubei, 430030, China
| | - Mengdie Wang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, 116023, China
- School of Public Health, China Medical University, No. 77 Puhe Road, Shenbei New District, Shenyang, 110122, China
| | - Guoqin Ji
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, 116023, China
- School of Life Science, China Medical University, No. 77 Puhe Road, Shenbei New District, Shenyang, 110122, China
| | - Xiang Li
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, # 13 Hangkong Road, Wuhan, Hubei, 430030, China
| | - Chang Su
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Fujian Zheng
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, 116023, China
| | - Mingye Zhang
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, # 13 Hangkong Road, Wuhan, Hubei, 430030, China
| | - Yuting Wang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, 116023, China
| | - Tiantian Chen
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, 116023, China
| | - Ting Li
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, 116023, China
| | - Lina Zhou
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, 116023, China
| | - Xianzhe Shi
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, 116023, China
| | - Chunxia Zhao
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, 116023, China
| | - Xinyu Liu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Liaoning Province Key Laboratory of Metabolomics, Dalian, 116023, China.
| | - Surong Mei
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, # 13 Hangkong Road, Wuhan, Hubei, 430030, China.
| | - Guowang Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Liaoning Province Key Laboratory of Metabolomics, Dalian, 116023, China.
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Reale E, Zare Jeddi M, Paini A, Connolly A, Duca R, Cubadda F, Benfenati E, Bessems J, S Galea K, Dirven H, Santonen T, M Koch H, Jones K, Sams C, Viegas S, Kyriaki M, Campisi L, David A, Antignac JP, B Hopf N. Human biomonitoring and toxicokinetics as key building blocks for next generation risk assessment. ENVIRONMENT INTERNATIONAL 2024; 184:108474. [PMID: 38350256 DOI: 10.1016/j.envint.2024.108474] [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: 08/07/2023] [Revised: 12/15/2023] [Accepted: 02/01/2024] [Indexed: 02/15/2024]
Abstract
Human health risk assessment is historically built upon animal testing, often following Organisation for Economic Co-operation and Development (OECD) test guidelines and exposure assessments. Using combinations of human relevant in vitro models, chemical analysis and computational (in silico) approaches bring advantages compared to animal studies. These include a greater focus on the human species and on molecular mechanisms and kinetics, identification of Adverse Outcome Pathways and downstream Key Events as well as the possibility of addressing susceptible populations and additional endpoints. Much of the advancement and progress made in the Next Generation Risk Assessment (NGRA) have been primarily focused on new approach methodologies (NAMs) and physiologically based kinetic (PBK) modelling without incorporating human biomonitoring (HBM). The integration of toxicokinetics (TK) and PBK modelling is an essential component of NGRA. PBK models are essential for describing in quantitative terms the TK processes with a focus on the effective dose at the expected target site. Furthermore, the need for PBK models is amplified by the increasing scientific and regulatory interest in aggregate and cumulative exposure as well as interactions of chemicals in mixtures. Since incorporating HBM data strengthens approaches and reduces uncertainties in risk assessment, here we elaborate on the integrated use of TK, PBK modelling and HBM in chemical risk assessment highlighting opportunities as well as challenges and limitations. Examples are provided where HBM and TK/PBK modelling can be used in both exposure assessment and hazard characterization shifting from external exposure and animal dose/response assays to animal-free, internal exposure-based NGRA.
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Affiliation(s)
- Elena Reale
- Centre for Primary Care and Public Health (Unisanté), University of Lausanne, Switzerland
| | - Maryam Zare Jeddi
- National Institute for Public Health and the Environment (RIVM), the Netherlands
| | | | - Alison Connolly
- UCD Centre for Safety & Health at Work, School of Public Health, Physiotherapy, and Sports Science, University College Dublin, D04 V1W8, Dublin, Ireland for Climate and Air Pollution Studies, Physics, School of Natural Science and the Ryan Institute, National University of Ireland, University Road, Galway H91 CF50, Ireland
| | - Radu Duca
- Unit Environmental Hygiene and Human Biological Monitoring, Department of Health Protection, Laboratoire national de santé (LNS), 1, Rue Louis Rech, 3555 Dudelange, Luxembourg; Environment and Health, Department of Public Health and Primary Care, KU Leuven, Kapucijnenvoer 35, 3000 Leuven, Belgium
| | - Francesco Cubadda
- Istituto Superiore di Sanità - National Institute of Health, Viale Regina Elena 299, 00161 Rome, Italy
| | - Emilio Benfenati
- Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156 Milano, Italy
| | - Jos Bessems
- VITO HEALTH, Flemish Institute for Technological Research, 2400 Mol, Belgium
| | - Karen S Galea
- Institute of Occupational Medicine (IOM), Research Avenue North, Riccarton, Edinburgh EH14 4AP, UK
| | - Hubert Dirven
- Department of Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Tiina Santonen
- Finnish Institute of Occupational Health (FIOH), P.O. Box 40, FI-00032 Työterveyslaitos, Finland
| | - Holger M Koch
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany
| | - Kate Jones
- HSE - Health and Safety Executive, Harpur Hill, Buxton SK17 9JN, UK
| | - Craig Sams
- HSE - Health and Safety Executive, Harpur Hill, Buxton SK17 9JN, UK
| | - Susana Viegas
- NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, NOVA University Lisbon, Lisbon, Portugal
| | - Machera Kyriaki
- Benaki Phytopathological Institute, 8, Stephanou Delta Street, 14561 Kifissia, Athens, Greece
| | - Luca Campisi
- Department of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy; Flashpoint srl, Via Norvegia 56, 56021 Cascina (PI), Italy
| | - Arthur David
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)-UMR_S 1085, F-35000 Rennes, France
| | | | - Nancy B Hopf
- Centre for Primary Care and Public Health (Unisanté), University of Lausanne, Switzerland.
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Gasparyan L, Duc J, Claustre L, Bosson-Rieutort D, Bouchard M, Bouchard MF, Owens-Beek N, West Moberly First Nations Chief And Council, Caron-Beaudoin É, Verner MA. Density and proximity of oil and gas wells and concentrations of trace elements in urine, hair, nails and tap water samples from pregnant individuals living in Northeastern British Columbia. ENVIRONMENT INTERNATIONAL 2024; 184:108398. [PMID: 38237504 DOI: 10.1016/j.envint.2023.108398] [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: 09/14/2023] [Revised: 12/15/2023] [Accepted: 12/18/2023] [Indexed: 02/23/2024]
Abstract
BACKGROUND Oil and gas exploitation can release several contaminants in the environment, including trace elements, with potentially deleterious effects on exposed pregnant individuals and their developing fetus. Currently, there is limited data on pregnant individuals' exposure to contaminants associated with oil and gas activity. OBJECTIVES We aimed to 1)measure concentrations of trace elements in biological and tap water samples collected from pregnant individuals participating in the EXPERIVA study; 2)compare with reference populations and health-based guidance values; 3)assess correlations across matrices; and 4)evaluate associations with the density/proximity of oil and gas wells. METHODS We collected tap water, hair, nails, and repeated urine samples from 85pregnant individuals, and measured concentrations of 21trace elements. We calculated oil and gas well density/proximity (Inverse Distance Weighting [IDW]) for 4buffer sizes (2.5 km, 5 km, 10 km, no buffer). We performed Spearman's rank correlation analyses to assess the correlations across elements and matrices. We used multiple linear regression models to evaluate the associations between IDWs and concentrations. RESULTS Some study participants had urinary trace element concentrations exceeding the 95th percentile of reference values; 75% of participants for V, 29% for Co, 22% for Ba, and 20% for Mn. For a given trace element, correlation coefficients ranged from -0.23 to 0.65 across matrices; correlations with tap water concentrations were strongest for hair, followed by nails, and urine. Positive (e.g., Cu, Cr, Sr, U, Ga, Ba, Al, Cd) and negative (e.g., Fe) associations were observed between IDW metrics and the concentrations of certain trace elements in water, hair, and nails. SIGNIFICANCE Our results suggest that pregnant individuals living in an area of oil and gas activity may be more exposed to certain trace elements (e.g., Mn, Sr, Co, Ba) than the general population. Association with density/proximity of wells remains unclear.
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Affiliation(s)
- Lilit Gasparyan
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, Montreal, QC, Canada; Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada
| | - Juliette Duc
- Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada; Department of Health Policy, Management and Evaluation, School of Public Health, Université de Montréal, Montreal, QC, Canada
| | - Lucie Claustre
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, Montreal, QC, Canada; Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada
| | - Delphine Bosson-Rieutort
- Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada; Department of Health Policy, Management and Evaluation, School of Public Health, Université de Montréal, Montreal, QC, Canada
| | - Michèle Bouchard
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, Montreal, QC, Canada; Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada
| | - Maryse F Bouchard
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, Montreal, QC, Canada; Institut national de la recherche scientifique, Laval, QC, Canada; Sainte-Justine Hospital Research Center, Montreal, QC, Canada
| | | | | | - Élyse Caron-Beaudoin
- Department of Health and Society, Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, ON, Canada; Center for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Marc-André Verner
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, Montreal, QC, Canada; Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada.
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4
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Gasull M, Camargo J, Pumarega J, Henríquez-Hernández LA, Campi L, Zumbado M, Contreras-Llanes M, Oliveras L, González-Marín P, Luzardo OP, Gómez-Gutiérrez A, Alguacil J, Porta M. Blood concentrations of metals, essential trace elements, rare earth elements and other chemicals in the general adult population of Barcelona: Distribution and associated sociodemographic factors. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 909:168502. [PMID: 37977377 DOI: 10.1016/j.scitotenv.2023.168502] [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: 08/02/2023] [Revised: 11/07/2023] [Accepted: 11/09/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND Very little information is available on the population distribution and on sociodemographic predictors of body concentrations of rare earth elements (REE) and other chemicals used in the manufacturing of high-tech devices. OBJECTIVES To analyze the distribution and associated sociodemographic factors of blood concentrations of chemical elements (including some metals, essential trace elements, rare earth elements and other minority elements) in a representative sample of the general population of Barcelona (Spain). METHODS A sample of participants in the Barcelona Health Survey of 2016 (N = 240) were interviewed face-to-face, gave blood, and underwent a physical exam. Concentrations of 50 chemical elements were analyzed by ICP-MS in whole blood samples. RESULTS All 50 chemicals studied, including 26 REE and minority elements, were detected. Lead, silver, arsenic, cadmium, mercury, antimony, strontium, thallium and six essential trace elements were detected in more than 70% of the population. The most frequently detected REE and minority elements were europium (62%), thulium (56%), gold (41%), indium (31%), ruthenium (24%), and tantalum (20%). Less affluent occupational social classes had higher percentages of detection of some REE. Median concentrations of silver, arsenic, cadmium and mercury were: 0.091, 3.01, 0.309, and 3.33 ng/mL, respectively. Women had lower median concentrations than men of lead (1.47 vs. 2.04 μg/dL, respectively), iron and zinc, and higher concentrations of copper and manganese. The influence of sociodemographic characteristics on chemical concentrations differed by sex. CONCLUSIONS While well-known contaminants as lead, mercury, cadmium, or arsenic were detected in the majority of the population, numerous individuals had also detectable concentrations of chemicals as europium, indium, thulium, or gold. Sociodemographic and physical characteristics (sex, age, social class, weight change) influenced concentrations of some chemicals.
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Affiliation(s)
- Magda Gasull
- Hospital del Mar Research Institute (IMIM), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
| | - Judit Camargo
- Hospital del Mar Research Institute (IMIM), Barcelona, Spain; School of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - José Pumarega
- Hospital del Mar Research Institute (IMIM), Barcelona, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; School of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Luis Alberto Henríquez-Hernández
- Toxicology Unit, Research Institute of Biomedical and Health Sciences (IUIBS), Universidad de Las Palmas de Gran Canaria, Canary Islands, Spain; CIBER de Obesidad y Nutrición (CIBEROBN), Madrid, Spain
| | - Laura Campi
- Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Manuel Zumbado
- Toxicology Unit, Research Institute of Biomedical and Health Sciences (IUIBS), Universidad de Las Palmas de Gran Canaria, Canary Islands, Spain; CIBER de Obesidad y Nutrición (CIBEROBN), Madrid, Spain
| | - Manuel Contreras-Llanes
- Centro de Investigación en Recursos Naturales, Salud y Medio Ambiente, Universidad de Huelva, Huelva, Spain
| | - Laura Oliveras
- Qualitat i Intervenció Ambiental, Agència de Salut Pública de Barcelona, Spain; Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Patricia González-Marín
- Qualitat i Intervenció Ambiental, Agència de Salut Pública de Barcelona, Spain; Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Octavio P Luzardo
- Toxicology Unit, Research Institute of Biomedical and Health Sciences (IUIBS), Universidad de Las Palmas de Gran Canaria, Canary Islands, Spain; CIBER de Obesidad y Nutrición (CIBEROBN), Madrid, Spain
| | - Anna Gómez-Gutiérrez
- Qualitat i Intervenció Ambiental, Agència de Salut Pública de Barcelona, Spain; Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Juan Alguacil
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Centro de Investigación en Recursos Naturales, Salud y Medio Ambiente, Universidad de Huelva, Huelva, Spain
| | - Miquel Porta
- Hospital del Mar Research Institute (IMIM), Barcelona, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; School of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
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Wrobel SA, Bury D, Koslitz S, Hayen H, Koch HM, Brüning T, Käfferlein HU. Quantitative Metabolism and Urinary Elimination Kinetics of Seven Neonicotinoids and Neonicotinoid-Like Compounds in Humans. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:19285-19294. [PMID: 37939249 DOI: 10.1021/acs.est.3c05040] [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: 11/10/2023]
Abstract
Reverse dosimetry, i.e., calculating the dose of hazardous substances that has been taken up by humans based on measured analyte concentrations in spot urine samples, is critical for risk assessment and requires metabolic and kinetic data. We quantitatively studied the metabolism of seven major neonicotinoid and neonicotinoid-like compounds (NNIs) after single oral doses in male volunteers and determined key kinetic parameters and urinary elimination for NNIs together with their metabolites. Complete and consecutive urine samples were collected over 48 h. All samples were analyzed by tandem mass spectrometry, following liquid or gas chromatographic separation. Single- and group-specific NNI metabolites were quantified, i.e., hydroxylated and N-dealkylated NNIs and NNI-associated carboxylic acids and their glycine derivatives. Large, substance-dependent variations of key toxicokinetic parameters were observed. Mean times of concentration maxima (tmax) in urine varied between 2.0 (imidacloprid) and 25.8 h (N-desmethyl-clothianidin), whereas mean urinary elimination half-times (t1/2) were between 2.5 (acetamiprid) and 49.5 h (sulfoxaflor). Mean 48 h excretion fractions (Fue's) were between 0.03% (2-chloro-1,3-thiazole-5-carboxylic acid glycine) and 84% (clothianidin). In contrast, the interindividual differences of Fue's between the volunteers for each of the NNIs and their metabolites remained low (below a factor of 2 between the maximum and minimum derived Fue with the exception of 6-chloronicotinic acid in the acetamiprid dose study). The obtained quantitative data enabled choosing appropriate biomarkers for exposure assessment and, at the same time, for risk assessment by reverse dosimetry at current environmental exposures, i.e., comparing the calculated doses that have been taken up to currently available acceptable daily intakes of NNIs.
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Affiliation(s)
- Sonja A Wrobel
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance─Institute of the Ruhr-Universität Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany
| | - Daniel Bury
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance─Institute of the Ruhr-Universität Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany
| | - Stephan Koslitz
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance─Institute of the Ruhr-Universität Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany
| | - Heiko Hayen
- Institute of Inorganic and Analytical Chemistry, University of Münster, Corrensstraße 48, 48149 Münster, Germany
| | - Holger M Koch
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance─Institute of the Ruhr-Universität Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany
| | - Thomas Brüning
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance─Institute of the Ruhr-Universität Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany
| | - Heiko U Käfferlein
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance─Institute of the Ruhr-Universität Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany
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Tewfik EL, Noisel N, Verner MA. Biomonitoring equivalents for perfluorooctanoic acid (PFOA) for the interpretation of biomonitoring data. ENVIRONMENT INTERNATIONAL 2023; 179:108170. [PMID: 37657409 DOI: 10.1016/j.envint.2023.108170] [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: 06/08/2023] [Revised: 08/22/2023] [Accepted: 08/22/2023] [Indexed: 09/03/2023]
Abstract
BACKGROUND Perfluorooctanoic acid (PFOA) is detected in the blood of virtually all biomonitoring study participants. Assessing health risks associated with blood PFOA levels is challenging because exposure guidance values (EGVs) are typically expressed in terms of external dose. Biomonitoring equivalents (BEs) consistent with EGVs could facilitate health-based interpretations. OBJECTIVE To i) derive BEs for serum/plasma PFOA corresponding to non-cancer EGVs of the U.S. Environmental Protection Agency (U.S. EPA), the Agency for Toxic Substances and Disease Registry (ATSDR) and Health Canada, and ii) compare with PFOA concentrations from national biomonitoring surveys. METHODS Starting from EGV points of departure, we employed pharmacokinetic data/models and uncertainty factors. Points of departure in pregnant rodents (U.S. EPA 2016, ATSDR) were converted into fetus and pup serum concentrations using an animal gestation/lactation pharmacokinetic model, and equivalent human fetus and child concentrations were converted into BEs in maternal serum using a human gestation/lactation model. The point of departure in adult rodents (Health Canada) was converted into a BE using experimental data. For epidemiology-based EGVs (U.S. EPA 2023, draft), BEs were directly based on epidemiological data or derived using a human gestation/lactation pharmacokinetic model. BEs were compared with Canadian/U.S. biomonitoring data. RESULTS Non-cancer BEs (ng/mL) were 684 (Health Canada, 2018) or ranged from 15 to 29 (U.S. EPA, 2016), 6-10 (ATSDR, 2021) and 0.2-0.8 (U.S. EPA, 2023, draft). Ninety-fifth percentiles of serum levels from the 2018-2019 Canadian Health Measures Survey (CHMS) and the 2017-2018 National Health and Nutrition Examination Survey (NHANES) were slightly below the BE for ATSDR, and geometric means were above the non-cancer BEs for the U.S. EPA (2023, draft). CONCLUSION Non-cancer BEs spanned three orders of magnitude. The lowest BEs were for EGVs based on developmental endpoints in epidemiological studies. Concentrations in Canadian/U.S. national surveys were higher than or close to BEs for the most recent non-cancer EGVs.
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Affiliation(s)
- Ernest-Louli Tewfik
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, Montreal, Canada; Centre de Recherche en Santé Publique, Université de Montréal and CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Canada
| | - Nolwenn Noisel
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, Montreal, Canada; Centre de Recherche en Santé Publique, Université de Montréal and CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Canada
| | - Marc-André Verner
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, Montreal, Canada; Centre de Recherche en Santé Publique, Université de Montréal and CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Canada.
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Tagne-Fotso R, Zeghnoun A, Saoudi A, Balestier A, Pecheux M, Chaperon L, Oleko A, Marchand P, Le Bizec B, Vattier L, Bouchart V, Limon G, Le Gléau F, Denys S, Fillol C. Exposure of the general French population to herbicides, pyrethroids, organophosphates, organochlorines, and carbamate pesticides in 2014-2016: Results from the Esteban study. Int J Hyg Environ Health 2023; 254:114265. [PMID: 37748265 DOI: 10.1016/j.ijheh.2023.114265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 09/19/2023] [Accepted: 09/19/2023] [Indexed: 09/27/2023]
Abstract
Esteban is a nationwide cross-sectional study conducted in France in 2014-2016, including 2503 adults aged 18-74 years old and 1104 children aged 6-17 years old, as part of the French Human Biomonitoring programme. The present paper describes the biological levels of five families of pesticides analysed on random sub-samples of 900 adults and 500 children for urine concentrations, and 759 adults and 255 children for serum concentrations, and the determinants of exposure. Organophosphates, carbamates and herbicides were measured in urine by UPLC-MS/MS; chlorophenols and pyrethroids were measured in urine by GC-MS/MS; specific organochlorines were measured in serum by GC-HRMS. Multivariate analyses were performed to identify the determinants of exposure using a generalized linear model. Pyrethroid metabolites were quantified in 99% of adults and children, with the exeption of F-PBA, which was quantified in 31% of adults and 27% of children, respectively. Carbamates and some specific organophosphates were barely or not quantified. DMTP was quantified in 82% of adults and 93% of children, and γ-HCH (lindane) was quantified in almost 50% of adults and children. Concentration levels of pesticide biomarkers were consistent with comparable international studies, except for β-HCH, DMTP, and the deltamethrin metabolite Br2CA, whose levels were sometimes higher in France. Household insecticide use and smoking were also associated with higher levels of pyrethroids. All pyrethroids concentration levels were below existing health-based HBM guidance values, HBM-GVsGenPop, except for 3-PBA, for which approximately 1% and 10% of children were above the lower and upper urine threshold values of 22 μg/L and 6.4 μg/L, respectively. Esteban provides a French nationwide description of 70 pesticide biomarkers for the first time in children. It also describes some pesticide biomarkers for the first time in adults, including glyphosate and AMPA. For the latter, urine concentration levels were overall higher in children than in adults. Our results highlight a possible beneficial impact of existing regulations on adult exposure to organochlorine and organophosphate pesticides between 2006 and 2016, as concentration levels decreased over this period.
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Affiliation(s)
- Romuald Tagne-Fotso
- Santé Publique France, The National Public Health Agency, 12 Rue Du Val D'Osne, Saint-Maurice Cedex, 94415, France.
| | - Abdelkrim Zeghnoun
- Santé Publique France, The National Public Health Agency, 12 Rue Du Val D'Osne, Saint-Maurice Cedex, 94415, France
| | - Abdessattar Saoudi
- Santé Publique France, The National Public Health Agency, 12 Rue Du Val D'Osne, Saint-Maurice Cedex, 94415, France
| | - Anita Balestier
- Santé Publique France, The National Public Health Agency, 12 Rue Du Val D'Osne, Saint-Maurice Cedex, 94415, France
| | - Marie Pecheux
- Santé Publique France, The National Public Health Agency, 12 Rue Du Val D'Osne, Saint-Maurice Cedex, 94415, France
| | - Laura Chaperon
- Santé Publique France, The National Public Health Agency, 12 Rue Du Val D'Osne, Saint-Maurice Cedex, 94415, France
| | - Amivi Oleko
- Santé Publique France, The National Public Health Agency, 12 Rue Du Val D'Osne, Saint-Maurice Cedex, 94415, France
| | | | | | | | | | | | | | - Sébastien Denys
- Santé Publique France, The National Public Health Agency, 12 Rue Du Val D'Osne, Saint-Maurice Cedex, 94415, France
| | - Clémence Fillol
- Santé Publique France, The National Public Health Agency, 12 Rue Du Val D'Osne, Saint-Maurice Cedex, 94415, France
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8
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Mahfouz M, Harmouche-Karaki M, Matta J, Mahfouz Y, Salameh P, Younes H, Helou K, Finan R, Abi-Tayeh G, Meslimani M, Moussa G, Chahrour N, Osseiran C, Skaiki F, Narbonne JF. Maternal Serum, Cord and Human Milk Levels of Per- and Polyfluoroalkyl Substances (PFAS), Association with Predictors and Effect on Newborn Anthropometry. TOXICS 2023; 11:toxics11050455. [PMID: 37235269 DOI: 10.3390/toxics11050455] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 04/19/2023] [Accepted: 04/20/2023] [Indexed: 05/28/2023]
Abstract
BACKGROUND The understanding of per- and polyfluoroalkyl substances (PFAS) health effects is rapidly advancing among critical populations. Therefore, the objective of this study was to assess PFAS serum levels among Lebanese pregnant women, cord serum and human milk levels, their determinants, and effects on newborn anthropometry. METHODS We measured concentrations of six PFAS (PFHpA, PFOA, PFHxS, PFOS, PFNA and PFDA) using liquid chromatography MS/MS for 419 participants, of which 269 had sociodemographic, anthropometric, environmental and dietary information. RESULTS The percentage of detection for PFHpA, PFOA, PFHxS and PFOS was 36.3-37.7%. PFOA and PFOS levels (95th percentile) were higher than HBM-I and HBM-II values. While PFAS were not detected in cord serum, five compounds were detected in human milk. Multivariate regression showed that fish/shellfish consumption, vicinity to illegal incineration and higher educational level were associated with an almost twice higher risk of elevated PFHpA, PFOA, PFHxS and PFOS serum levels. Higher PFAS levels in human milk were observed with higher eggs and dairy products consumption, in addition to tap water (preliminary findings). Higher PFHpA was significantly associated with lower newborn weight-for-length Z-score at birth. CONCLUSIONS Findings establish the need for further studies, and urgent action to reduce exposure among subgroups with higher PFAS levels.
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Affiliation(s)
- Maya Mahfouz
- Department of Nutrition, Faculty of Pharmacy, Saint Joseph University of Beirut, Medical Sciences Campus, Damascus Road, P.O. Box 115076, Riad Solh Beirut 1107 2180, Lebanon
| | - Mireille Harmouche-Karaki
- Department of Nutrition, Faculty of Pharmacy, Saint Joseph University of Beirut, Medical Sciences Campus, Damascus Road, P.O. Box 115076, Riad Solh Beirut 1107 2180, Lebanon
| | - Joseph Matta
- Industrial Research Institute, Lebanese University Campus, Hadath Baabda P.O. Box 112806, Lebanon
| | - Yara Mahfouz
- Department of Nutrition, Faculty of Pharmacy, Saint Joseph University of Beirut, Medical Sciences Campus, Damascus Road, P.O. Box 115076, Riad Solh Beirut 1107 2180, Lebanon
| | - Pascale Salameh
- School of Medicine, Lebanese American University, Byblos 1102 2801, Lebanon
| | - Hassan Younes
- Institut Polytechnique UniLaSalle, Collège Santé, Equipe PANASH, Membre de l'ULR 7519, Université d'Artois, 19 Rue Pierre Waguet, 60026 Beauvais, France
| | - Khalil Helou
- Department of Nutrition, Faculty of Pharmacy, Saint Joseph University of Beirut, Medical Sciences Campus, Damascus Road, P.O. Box 115076, Riad Solh Beirut 1107 2180, Lebanon
| | - Ramzi Finan
- Hotel-Dieu de France, Saint Joseph University of Beirut Hospital, Blvd Alfred Naccache, Beirut P.O. Box 166830, Lebanon
| | - Georges Abi-Tayeh
- Hotel-Dieu de France, Saint Joseph University of Beirut Hospital, Blvd Alfred Naccache, Beirut P.O. Box 166830, Lebanon
| | | | - Ghada Moussa
- Department of Obstetrics and Gynecology, Chtoura Hospital, Beqaa, Lebanon
| | - Nada Chahrour
- Department of Obstetrics and Gynecology, SRH University Hospital, Nabatieh, Lebanon
| | - Camille Osseiran
- Department of Obstetrics and Gynecology, Kassab Hospital, Saida, Lebanon
| | - Farouk Skaiki
- Department of Molecular Biology, General Management, Al Karim Medical Laboratories, Saida, Lebanon
| | - Jean-François Narbonne
- Laboratoire de Physico-Toxico Chimie des Systèmes Naturels, University of Bordeaux, CEDEX, 33405 Talence France
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9
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Pirutin SK, Jia S, Yusipovich AI, Shank MA, Parshina EY, Rubin AB. Vibrational Spectroscopy as a Tool for Bioanalytical and Biomonitoring Studies. Int J Mol Sci 2023; 24:ijms24086947. [PMID: 37108111 PMCID: PMC10138916 DOI: 10.3390/ijms24086947] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 03/30/2023] [Accepted: 04/04/2023] [Indexed: 04/29/2023] Open
Abstract
The review briefly describes various types of infrared (IR) and Raman spectroscopy methods. At the beginning of the review, the basic concepts of biological methods of environmental monitoring, namely bioanalytical and biomonitoring methods, are briefly considered. The main part of the review describes the basic principles and concepts of vibration spectroscopy and microspectrophotometry, in particular IR spectroscopy, mid- and near-IR spectroscopy, IR microspectroscopy, Raman spectroscopy, resonance Raman spectroscopy, Surface-enhanced Raman spectroscopy, and Raman microscopy. Examples of the use of various methods of vibration spectroscopy for the study of biological samples, especially in the context of environmental monitoring, are given. Based on the described results, the authors conclude that the near-IR spectroscopy-based methods are the most convenient for environmental studies, and the relevance of the use of IR and Raman spectroscopy in environmental monitoring will increase with time.
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Affiliation(s)
- Sergey K Pirutin
- Faculty of Biology, Shenzhen MSU-BIT University, No. 1, International University Park Road, Dayun New Town, Longgang District, Shenzhen 518172, China
- Faculty of Biology, Lomonosov Moscow State University, GSP-1, Leninskie Gory, 119991 Moscow, Russia
- Institute of Theoretical and Experimental Biophysics of Russian Academy of Sciences, Institutskaya St. 3, 142290 Pushchino, Russia
| | - Shunchao Jia
- Faculty of Biology, Shenzhen MSU-BIT University, No. 1, International University Park Road, Dayun New Town, Longgang District, Shenzhen 518172, China
| | - Alexander I Yusipovich
- Faculty of Biology, Lomonosov Moscow State University, GSP-1, Leninskie Gory, 119991 Moscow, Russia
| | - Mikhail A Shank
- Faculty of Biology, Shenzhen MSU-BIT University, No. 1, International University Park Road, Dayun New Town, Longgang District, Shenzhen 518172, China
- Faculty of Biology, Lomonosov Moscow State University, GSP-1, Leninskie Gory, 119991 Moscow, Russia
| | - Evgeniia Yu Parshina
- Faculty of Biology, Lomonosov Moscow State University, GSP-1, Leninskie Gory, 119991 Moscow, Russia
| | - Andrey B Rubin
- Faculty of Biology, Shenzhen MSU-BIT University, No. 1, International University Park Road, Dayun New Town, Longgang District, Shenzhen 518172, China
- Faculty of Biology, Lomonosov Moscow State University, GSP-1, Leninskie Gory, 119991 Moscow, Russia
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10
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Santonen T, Mahiout S, Alvito P, Apel P, Bessems J, Bil W, Borges T, Bose-O'Reilly S, Buekers J, Cañas Portilla AI, Calvo AC, de Alba González M, Domínguez-Morueco N, López ME, Falnoga I, Gerofke A, Caballero MDCG, Horvat M, Huuskonen P, Kadikis N, Kolossa-Gehring M, Lange R, Louro H, Martins C, Meslin M, Niemann L, Díaz SP, Plichta V, Porras SP, Rousselle C, Scholten B, Silva MJ, Šlejkovec Z, Tratnik JS, Joksić AŠ, Tarazona JV, Uhl M, Van Nieuwenhuyse A, Viegas S, Vinggaard AM, Woutersen M, Schoeters G. How to use human biomonitoring in chemical risk assessment: Methodological aspects, recommendations, and lessons learned from HBM4EU. Int J Hyg Environ Health 2023; 249:114139. [PMID: 36870229 DOI: 10.1016/j.ijheh.2023.114139] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 02/13/2023] [Accepted: 02/14/2023] [Indexed: 03/06/2023]
Abstract
One of the aims of the European Human Biomonitoring Initiative, HBM4EU, was to provide examples of and good practices for the effective use of human biomonitoring (HBM) data in human health risk assessment (RA). The need for such information is pressing, as previous research has indicated that regulatory risk assessors generally lack knowledge and experience of the use of HBM data in RA. By recognising this gap in expertise, as well as the added value of incorporating HBM data into RA, this paper aims to support the integration of HBM into regulatory RA. Based on the work of the HBM4EU, we provide examples of different approaches to including HBM in RA and in estimations of the environmental burden of disease (EBoD), the benefits and pitfalls involved, information on the important methodological aspects to consider, and recommendations on how to overcome obstacles. The examples are derived from RAs or EBoD estimations made under the HBM4EU for the following HBM4EU priority substances: acrylamide, o-toluidine of the aniline family, aprotic solvents, arsenic, bisphenols, cadmium, diisocyanates, flame retardants, hexavalent chromium [Cr(VI)], lead, mercury, mixture of per-/poly-fluorinated compounds, mixture of pesticides, mixture of phthalates, mycotoxins, polycyclic aromatic hydrocarbons (PAHs), and the UV-filter benzophenone-3. Although the RA and EBoD work presented here is not intended to have direct regulatory implications, the results can be useful for raising awareness of possibly needed policy actions, as newly generated HBM data from HBM4EU on the current exposure of the EU population has been used in many RAs and EBoD estimations.
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Affiliation(s)
| | | | - Paula Alvito
- National Institute of Health Dr. Ricardo Jorge, 1649-016, Lisbon, Portugal; Centre for Environmental and Marine Studies (CESAM), University of Aveiro, 3810-193 Aveiro, Portugal
| | - Petra Apel
- German Environment Agency (UBA), Corrensplatz 1, 14195, Berlin, Germany
| | - Jos Bessems
- VITO-Flemish Institute for Technological Research, Mol, Belgium
| | - Wieneke Bil
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Teresa Borges
- General-Directorate of Health, Ministry of Health, 1049-005, Lisbon, Portugal
| | - Stephan Bose-O'Reilly
- Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - Private University for Health Sciences, Medical Informations und Technology, Hall i.T., Austria
| | - Jurgen Buekers
- VITO-Flemish Institute for Technological Research, Mol, Belgium
| | | | - Argelia Castaño Calvo
- National Centre for Environmental Health, Instituto de Salud Carlos III, Madrid, Spain
| | | | | | - Marta Esteban López
- National Centre for Environmental Health, Instituto de Salud Carlos III, Madrid, Spain
| | | | - Antje Gerofke
- German Environment Agency (UBA), Corrensplatz 1, 14195, Berlin, Germany
| | | | | | | | | | | | - Rosa Lange
- German Environment Agency (UBA), Corrensplatz 1, 14195, Berlin, Germany
| | - Henriqueta Louro
- National Institute of Health Dr. Ricardo Jorge, 1649-016, Lisbon, Portugal; ToxOmics-Centre for Toxicogenomics and Human Health, NOVA Medical School, Universidade NOVA de Lisboa, Campo dos Mártires da Pátria, 130, 1169-056, Lisboa, Portugal
| | - Carla Martins
- NOVA National School of Public Health, Public Health Research Centre, NOVA University Lisbon, 1600-560, Lisbon, Portugal; Comprehensive Health Research Center (CHRC), NOVA University Lisbon, 1600-560, Lisbon, Portugal
| | - Matthieu Meslin
- French Agency for Food, Environmental and Occupational Health & Safety, Anses, 14 rue Pierre et Marie Curie, 94701, Maisons-Alfort, France
| | - Lars Niemann
- German Federal Institute for Risk Assessment, Berlin, Germany
| | - Susana Pedraza Díaz
- National Centre for Environmental Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Veronika Plichta
- Austrian Agency for Health and Food Safety, Department Risk Assessment, Spargelfeldstraße 191, 1220, Vienna, Austria
| | | | - Christophe Rousselle
- French Agency for Food, Environmental and Occupational Health & Safety, Anses, 14 rue Pierre et Marie Curie, 94701, Maisons-Alfort, France
| | - Bernice Scholten
- Research Group Risk Analysis for Products in Development, The Netherlands Organisation for Applied Scientific research (TNO), Utrecht, the Netherlands
| | - Maria João Silva
- National Institute of Health Dr. Ricardo Jorge, 1649-016, Lisbon, Portugal; ToxOmics-Centre for Toxicogenomics and Human Health, NOVA Medical School, Universidade NOVA de Lisboa, Campo dos Mártires da Pátria, 130, 1169-056, Lisboa, Portugal
| | | | | | | | - Jose V Tarazona
- National Centre for Environmental Health, Instituto de Salud Carlos III, Madrid, Spain; European Food Safety Authority (EFSA), Parma, Italy
| | - Maria Uhl
- Environment Agency Austria, Spittelauer Lände 5, 1090, Vienna, Austria
| | | | - Susana Viegas
- NOVA National School of Public Health, Public Health Research Centre, NOVA University Lisbon, 1600-560, Lisbon, Portugal; Comprehensive Health Research Center (CHRC), NOVA University Lisbon, 1600-560, Lisbon, Portugal
| | | | - Marjolijn Woutersen
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Greet Schoeters
- VITO-Flemish Institute for Technological Research, Mol, Belgium; University of Antwerp, Dept of Biomedical Sciences, Antwerp, Belgium
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11
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Moriceau MA, Cano-Sancho G, Kim M, Coumoul X, Emond C, Arrebola JP, Antignac JP, Audouze K, Rousselle C. Partitioning of Persistent Organic Pollutants between Adipose Tissue and Serum in Human Studies. TOXICS 2022; 11:toxics11010041. [PMID: 36668767 PMCID: PMC9866963 DOI: 10.3390/toxics11010041] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 12/23/2022] [Accepted: 12/27/2022] [Indexed: 06/01/2023]
Abstract
Blood is the most widely used matrix for biomonitoring of persistent organic pollutants (POPs). It is assumed that POPs are homogenously distributed within body lipids at steady state; however, the variability underlying the partitioning of POPs between fat compartments is poorly understood. Hence, the objective of this study was to review the state of the science about the relationships of POPs between adipose tissue and serum in humans. We conducted a narrative literature review of human observational studies reporting concentrations of POPs in paired samples of adipose tissue with other lipid-based compartments (e.g., serum lipids). The searches were conducted in SCOPUS and PUBMED. A meta-regression was performed to identify factors responsible for variability. All included studies reported high variability in the partition coefficients of POPs, mainly between adipose tissue and serum. The number of halogen atoms was the physicochemical variable most strongly and positively associated with the partition ratios, whereas body mass index was the main biological factor positively and significantly associated. To conclude, although this study provides a better understanding of partitioning of POPs to refine physiologically based pharmacokinetic and epidemiological models, further research is still needed to determine other key factors involved in the partitioning of POPs.
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Affiliation(s)
| | | | - MinJi Kim
- INSERM UMR-S 1124, Université Paris Sorbonne Nord, 93017 Bobigny, France
| | - Xavier Coumoul
- INSERM UMR-S 1124, Université Paris Cité, 45 rue des Saints-Pères, 75006 Paris, France
| | - Claude Emond
- School of Public Health, Department of Environmental and Occupational Health, University of Montreal, Montreal, QC H3C 3J7, Canada
| | - Juan-Pedro Arrebola
- Department of Preventive Medicine and Public Health, Universidad de Granada, Campus de Cartuja s/n, 18071 Granada, Spain
- Instituto de Investigación Biosanitaria (ibs.GRANADA), Avda. de Madrid, 15. Pabellón de Consultas Externas 2, 2a Planta, 18012 Granada, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | | | - Karine Audouze
- INSERM UMR-S 1124, Université Paris Cité, 45 rue des Saints-Pères, 75006 Paris, France
| | - Christophe Rousselle
- ANSES, European and International Affairs Department, 14 rue Pierre et Marie Curie, 94701 Maisons-Alfort, France
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