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Robin J, Lefeuvre S, Guihenneuc J, Cambien G, Dupuis A, Venisse N. Analytical methods and biomonitoring results in hair for the assessment of exposure to endocrine-disrupting chemicals: A literature review. CHEMOSPHERE 2024; 353:141523. [PMID: 38417485 DOI: 10.1016/j.chemosphere.2024.141523] [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: 02/03/2024] [Accepted: 02/20/2024] [Indexed: 03/01/2024]
Abstract
Endocrine-disrupting chemicals (EDC) are compounds that alter functions of the endocrine system due to their ability to mimic or antagonize endogenous hormones, or that alter their synthesis and metabolism, causing adverse health effects. Human biomonitoring (HBM) is a reliable method to assess human exposure to chemicals through measurement in human body fluids and tissues. It identifies new sources of exposure and determines their distribution, thereby enabling detection of the most exposed populations. Blood and urine are commonly used for HBM of EDC, but their interest is limited for compounds presenting short half-lives. Hair appears as an interesting alternative insofar as it provides a large exposure window. For the present study, we evaluated the relevance of hair in determining EDC exposure. With this in mind, we undertook a literature review focusing on the bioanalytical aspects and performances of methods developed to determine EDC in hair. The literature review was performed through methodical bibliographical research. Relevant articles were identified using two scientific databases: PubMed and Web of Science, with search equations built from a combination of keywords, MeSH terms and Boolean operators. The search strategy identified 2949 articles. After duplicates were removed, and following title, abstract, and full-text screenings, only 31 were included for qualitative synthesis. Hair collection was mainly performed in the back of the head and preparation involved two processes: cutting into small pieces or grounding to powder. The off-line LC-MS/MS method remains the main technique used to assess EDC through hair. Differences regarding the validation of analytical methods and interpretation of HBM results were highlighted, suggesting a need for international harmonisation to obtain reliable and comparable results. External contamination of hair was identified as a main limitation in the interpretation of results, highlighting the need to better understand EDC transfers through hair and to develop relevant hair decontamination processes.
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Affiliation(s)
- Julien Robin
- Université de Poitiers, CNRS, Laboratoire EBI, Équipe IHES, F-86000 Poitiers, France; CHU de Poitiers, CIC-Inserm, Axe EATHER, F-86000 Poitiers, France
| | - Sandrine Lefeuvre
- Université de Poitiers, CNRS, Laboratoire EBI, Équipe IHES, F-86000 Poitiers, France; CHU de Poitiers, CIC-Inserm, Axe EATHER, F-86000 Poitiers, France
| | - Jérémy Guihenneuc
- Université de Poitiers, CNRS, Laboratoire EBI, Équipe IHES, F-86000 Poitiers, France; CHU de Poitiers, CIC-Inserm, Axe EATHER, F-86000 Poitiers, France
| | - Guillaume Cambien
- Université de Poitiers, CNRS, Laboratoire EBI, Équipe IHES, F-86000 Poitiers, France; CHU de Poitiers, CIC-Inserm, Axe EATHER, F-86000 Poitiers, France
| | - Antoine Dupuis
- Université de Poitiers, CNRS, Laboratoire EBI, Équipe IHES, F-86000 Poitiers, France; CHU de Poitiers, CIC-Inserm, Axe EATHER, F-86000 Poitiers, France
| | - Nicolas Venisse
- Université de Poitiers, CNRS, Laboratoire EBI, Équipe IHES, F-86000 Poitiers, France; CHU de Poitiers, CIC-Inserm, Axe EATHER, F-86000 Poitiers, France.
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Singh K, Blechinger S, Pelletier L, Karthikeyan S, St-Amand A, Liberda EN, Chan HM. Characterizing variability in total mercury hair:blood ratio in the general Canadian population. ENVIRONMENTAL RESEARCH 2023; 224:115491. [PMID: 36791836 DOI: 10.1016/j.envres.2023.115491] [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: 11/28/2022] [Revised: 01/26/2023] [Accepted: 02/11/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND/OBJECTIVES The body burden of mercury in humans can be measured through hair or blood biomarkers. To compare results from different studies, it is often required to convert mercury in hair to an equivalent level in blood, using a default hair:blood ratio of 250:1 by the World Health Organization (WHO). However, the actual ratio may vary within and between populations. The objectives of this study were to analyze the hair:blood mercury ratio in the general Canadian population, explore factors associated with higher/lower ratios, and determine if the standard ratio of 250:1 is supported. METHODS The Canadian Health Measures Survey (CHMS) Cycle 5 (2016-2017) measured total mercury (THg) in both hair and blood of 1168 participants 20-59 years of age. We calculated geometric mean (GM) concentrations of THg for this entire sample and subgroups. The subgroups included biological sex, women of childbearing age, race, hair treatments, categories of blood and hair selenium, urinary arsenobetaine/arsenocholine, categories of blood and hair mercury, and food consumption. We calculated a hair:blood ratio for each participant and determined population-level ratios from the GMs of the distributions. Differences by subgroups, and agreement with the WHO ratio of 250:1, were tested. The combined effect of factors on the THg hair:blood ratio was explored using staged regression analysis. RESULTS For participants with paired hair and blood mercury measurements, the GM of the hair:blood THg ratio was 293 (95%CI:273-316), and significantly >250. In women of childbearing age, the ratio did not differ from 250. The GMs of the ratio were higher (i.e.>300) for second tertile blood selenium (365, 95%CI:307-433), third and fourth quartiles hair mercury (347, 95%CI:308-390 and 376, 95%CI:336-422), and consumers of shellfish (338, 95%CI:308-371). Shellfish consumption was the only statistically significant factor associated with the hair:blood ratio as identified in the regression model. CONCLUSIONS The mean hair:blood THg ratio among Canadians generally exceeded the default ratio of 250:1. Higher ratios were observed in certain subgroups, such as seafood consumers, and shellfish consumption was the most important variable associated with the ratio. Our results suggest that population-specific hair:blood THg ratios be considered, if possible, when converting mercury levels from hair to blood to better characterize the variation around the conversion.
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Affiliation(s)
- Kavita Singh
- Environmental Health Science and Research Bureau, Healthy Environments and Consumer Safety Branch, Health Canada, Ottawa, Canada.
| | - Scott Blechinger
- Bureau of Chemical Safety, Food Directorate, Health Canada, Ottawa, Canada
| | - Luc Pelletier
- Bureau of Chemical Safety, Food Directorate, Health Canada, Ottawa, Canada
| | - Subramanian Karthikeyan
- Environmental Health Science and Research Bureau, Healthy Environments and Consumer Safety Branch, Health Canada, Ottawa, Canada
| | - Annie St-Amand
- Environmental Health Science and Research Bureau, Healthy Environments and Consumer Safety Branch, Health Canada, Ottawa, Canada
| | - Eric N Liberda
- School of Occupational and Public Health, Toronto Metropolitan University, Toronto, Canada
| | - Hing Man Chan
- Department of Biology, University of Ottawa, Ottawa, Canada
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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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Cegolon L, Petranich E, Pavoni E, Floreani F, Barago N, Papassissa E, Larese Filon F, Covelli S. Concentration of mercury in human hair and associated factors in residents of the Gulf of Trieste (North-Eastern Italy). ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:21425-21437. [PMID: 36269483 PMCID: PMC9938062 DOI: 10.1007/s11356-022-23384-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 09/27/2022] [Indexed: 05/14/2023]
Abstract
The Gulf of Trieste (Northern Adriatic Sea, Italy) is the coastal area of the Mediterranean Sea most highly contaminated by mercury (Hg) due to fluvial inputs from the Isonzo/Soča River system, draining over 500 years' worth of cinnabar extraction activity from the Idrija mining district (Western Slovenia). The aim of this research is to investigate the concentration of Hg in hair samples taken from the general population of the Friuli Venezia Giulia (FVG) Region coastal area, as a marker of chronic exposure to Hg. Three hundred and one individuals - 119 males and 182 females - were recruited by convenience sampling in Trieste in September 2021. An amount of approximately 100 mg of hair was collected from the occipital scalp of each participant to measure the respective Hg concentrations (expressed as mg/kg). Moreover, participants completed a self-report questionnaire collecting extensive socio-demographic and life-style information. A multiple linear regression analysis was employed to investigate factors associated with increased levels of Hg concentration in hair. A mean Hg concentration in hair of 1.63 mg/kg was found, slightly above the 1.0 mg/kg threshold recommended by the WHO for pregnant women and children, although still well below the no observed adverse effects level (NOAEL) of 10 mg/kg. Among respondents, 55.6% showed a Hg concentration in hair > 1 mg/kg, 22.9% > 2 mg/kg, and 2 participants exhibited Hg levels > 10 mg/kg. The adjusted mean hair Hg level increased in those subjects who reported a preference for shellfish/crayfish/mollusks (RC = 0.35; 95%CI: 0.16; 0.55), whereas it decreased in those who reported a preference for frozen fish (RC = -0.23; 95%CI: - 0.39; - 0.06). Though a risk alert for Hg exposure for coastal residents from FVG is deemed unnecessary at this time, it is recommended that pregnant women limit their ingestion of locally caught fish to < 4 servings/month.
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Affiliation(s)
- Luca Cegolon
- Occupational Medicine Unit, Department of Medical, Surgical & Health Sciences, University of Trieste, Trieste, Italy
- Public Health Department, University Health Agency Giuliano-Isontina (ASUGI), Trieste, Italy
| | - Elisa Petranich
- Department of Mathematics & Geosciences, University of Trieste, Trieste, Italy.
| | - Elena Pavoni
- Department of Mathematics & Geosciences, University of Trieste, Trieste, Italy
| | - Federico Floreani
- Department of Mathematics & Geosciences, University of Trieste, Trieste, Italy
- Department of Life Sciences, University of Trieste, Trieste, Italy
| | - Nicolò Barago
- Department of Mathematics & Geosciences, University of Trieste, Trieste, Italy
| | - Elisa Papassissa
- Occupational Medicine Unit, Department of Medical, Surgical & Health Sciences, University of Trieste, Trieste, Italy
| | - Francesca Larese Filon
- Occupational Medicine Unit, Department of Medical, Surgical & Health Sciences, University of Trieste, Trieste, Italy
| | - Stefano Covelli
- Department of Mathematics & Geosciences, University of Trieste, Trieste, Italy
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Guo X, Li N, Wang H, Su W, Song Q, Liang Q, Liang M, Sun C, Li Y, Lowe S, Bentley R, Song EJ, Zhou Q, Ding X, Sun Y. Combined exposure to multiple metals on cardiovascular disease in NHANES under five statistical models. ENVIRONMENTAL RESEARCH 2022; 215:114435. [PMID: 36174761 DOI: 10.1016/j.envres.2022.114435] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 09/13/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND It is well-documented that heavy metals are associated with cardiovascular disease (CVD). However, there is few studies exploring effect of metal mixture on CVD. Therefore, the primary objective of present study was to investigate the joint effect of heavy metals on CVD and to identify the most influential metals in the mixture. METHODS Original data for study subjects were obtained from the National Health and Nutrition Examination Survey. In this study, adults with complete data on 12 kinds of urinary metals (antimony, arsenic, barium, cadmium, cobalt, cesium, molybdenum, mercury, lead, thallium, tungsten, and uranium), cardiovascular disease, and core covariates were enrolled. We applied five different statistical strategies to examine the CVD risk with metal exposure, including multivariate logistic regression, adaptive elastic net combined with Environmental Risk Score, Quantile g-computation, Weighted Quantile Sum regression, and Bayesian kernel machine regression. RESULTS Higher levels of cadmium, tungsten, cobalt, and antimony were significantly associated with Increased risk of CVD when covariates were adjusted for multivariate logistic regression. The results from multi-pollutant strategies all indicated that metal mixture was positively associated with the risk of CVD. Based on the results of multiple statistical strategies, it was determined that cadmium, tungsten, cobalt, and antimony exhibited the strongest positive correlations, whereas barium, lead, molybdenum, and thallium were most associated with negative correlations. CONCLUSION Overall, our study demonstrates that exposure to heavy metal mixture is linked to a higher risk of CVD. Meanwhile, this association may be driven primarily by cadmium, tungsten, cobalt, and antimony. Further prospective studies are warranted to validate or refute our primary findings as well as to identify other important heavy metals linked with CVD.
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Affiliation(s)
- Xianwei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Ning Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Hao Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Wanying Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Qiuxia Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Qiwei Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Mingming Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Chenyu Sun
- AMITA Health Saint Joseph Hospital Chicago, 2900 N. Lake Shore Drive, Chicago, IL, 60657, USA
| | - Yaru Li
- Internal Medicine, Swedish Hospital, 5140 N California Ave, Chicago, IL, 60625, USA
| | - Scott Lowe
- College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, Kansas City, MO, 64106, USA
| | - Rachel Bentley
- College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, Kansas City, MO, 64106, USA
| | - Evelyn J Song
- Division of Hospital Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Qin Zhou
- Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Xiuxiu Ding
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Yehuan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China; Chaohu Hospital, Anhui Medical University, Hefei, 238006, Anhui, PR China.
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Guo X, Su W, Li N, Song Q, Wang H, Liang Q, Li Y, Lowe S, Bentley R, Zhou Z, Song EJ, Cheng C, Zhou Q, Sun C. Association of urinary or blood heavy metals and mortality from all causes, cardiovascular disease, and cancer in the general population: a systematic review and meta-analysis of cohort studies. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:67483-67503. [PMID: 35917074 DOI: 10.1007/s11356-022-22353-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 07/28/2022] [Indexed: 06/15/2023]
Abstract
Amounting epidemiological evidence has shown detrimental effects of heavy metals on a wide range of diseases. However, the effect of heavy metal exposure on mortality in the general population remains unclear. The primary objective of this study was to clarify the associations between heavy metals and mortality from all causes, cardiovascular disease (CVD), and cancer based on prospective studies. We comprehensively searched Pubmed, Embase, and Web of Science electronic databases to identify studies published from their inception until 1 March 2022. Investigators identified inclusion criteria, extracted study characteristics, and assessed the methodological quality of included studies according to standardized guidelines. Meta-analysis was conducted if the effect estimates of the same outcome were reported in at least three studies. Finally, 42 original studies were identified. The results of meta-analysis showed that cadmium and lead exposure was significantly associated with mortality from all causes, CVD, and cancer in the general population. Moderate evidence suggested there was a link between arsenic exposure and mortality. The adverse effects of mercury and other heavy metals on mortality were inconclusive. Epidemiological evidence for the joint effect of heavy metal exposure on mortality was still indeterminate. In summary, our study provided compelling evidence that exposure to cadmium, lead, and arsenic were associated with mortality from all causes, CVD, and cancer, while the evidence on other heavy metals, for example mercury, was insignificant or indeterminate. Nevertheless, further prospective studies are warranted to explore the joint effects of multiple metal exposure on mortality.
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Affiliation(s)
- Xianwei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Wanying Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Ning Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Qiuxia Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Hao Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Qiwei Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Yaru Li
- Internal Medicine, Swedish Hospital, 5140 N California Ave, Chicago, IL, 60625, USA
- College of Osteopathic Medicine, Des Moines University, 3200 Grand Ave, Des Moines, IA, 50312, USA
| | - Scott Lowe
- College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, Kansas City, MO, 64106, USA
| | - Rachel Bentley
- College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, Kansas City, MO, 64106, USA
| | - Zhen Zhou
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, TAS, TAS, 7000, Australia
| | - Evelyn J Song
- Division of Hospital Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Ce Cheng
- The University of Arizona College of Medicine, 1501 N Campbell Ave, Tucson, AZ, 85724, USA
- Banner-University Medical Center South, 2800 E Ajo Way, Tucson, AZ, 85713, USA
| | - Qin Zhou
- Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Chenyu Sun
- AMITA Health Saint Joseph Hospital Chicago, 2900 N. Lake Shore Drive, Chicago, IL, 60657, USA.
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7
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Domínguez-Morueco N, Pedraza-Díaz S, González-Caballero MDC, Esteban-López M, de Alba-González M, Katsonouri A, Santonen T, Cañas-Portilla A, Castaño A. Methylmercury Risk Assessment Based on European Human Biomonitoring Data. TOXICS 2022; 10:toxics10080427. [PMID: 36006106 PMCID: PMC9416112 DOI: 10.3390/toxics10080427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 07/14/2022] [Accepted: 07/27/2022] [Indexed: 11/16/2022]
Abstract
A risk assessment (RA) was conducted to estimate the risk associated with methylmercury (MeHg) exposure of vulnerable European populations, using Human Biomonitoring (HBM) data. This RA was performed integrating published data from European HBM surveys and earlier EFSA approaches (EFSA 2012). Children/adolescents (3 to 17 years old) and women of childbearing age (18 to 50 years old) were selected as relevant study population groups for this RA. Two types of HBM datasets were selected: HBM studies (n = 18) with mercury (Hg) levels (blood and hair, total Hg and/or MeHg) in the general population in different EU countries and the DEMOCOPHES harmonized study in child–mother pairs (hair, total Hg) in 17 EU countries as a reference. Two approaches were included in the RA strategy: the first one was based on estimations of the fraction of children/adolescents and women of childbearing age, respectively, from the EU general population exceeding the HBM-I value established by the German Human Biomonitoring Commission, measured as Hazard Quotients (HQ); and the second approach was based on estimations of the fraction of the two population groups exceeding the Tolerable Weekly Intake (TWI) (or their equivalent to Tolerable Daily Intake (TDI)) defined by EFSA in 2012. The HQ approach showed that for both groups, the risk varies across EU countries and that some EU areas are close to or exceeding the exposure guidance values. This is the case of Spain and Portugal, which showed the highest HQ (GM and/or P95), probably due to their higher fish consumption. Results from the EFSA approach show that hair values of children/adolescents and women of childbearing age (both in selected HBM studies and in DEMOCOPHES study) are below the TDI of 1.9 µg/g; therefore, in general, the European population does not exceed the daily average/intake dose for MeHg and/or Hg. A possible risk underestimation was identified in our assessment since for many studies no data on P95 were available, causing loss of relevant information for risk characterization on the upper bound. In addition, data from other European countries also with high seafood consumption, such as France, Greece or Iceland, were not available. For this reason, further RA refinement is needed with harmonized and more widespread HBM data to account for differences in European exposure and associated risks, so that interventions to protect vulnerable citizens, can be applied.
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Affiliation(s)
- Noelia Domínguez-Morueco
- National Centre for Environmental Health, Instituto de Salud Carlos III, 28220 Madrid, Spain; (N.D.-M.); (M.d.C.G.-C.); (M.E.-L.); (M.d.A.-G.); (A.C.)
| | - Susana Pedraza-Díaz
- National Centre for Environmental Health, Instituto de Salud Carlos III, 28220 Madrid, Spain; (N.D.-M.); (M.d.C.G.-C.); (M.E.-L.); (M.d.A.-G.); (A.C.)
- Correspondence: (S.P.-D.); (A.C.-P.)
| | - María del Carmen González-Caballero
- National Centre for Environmental Health, Instituto de Salud Carlos III, 28220 Madrid, Spain; (N.D.-M.); (M.d.C.G.-C.); (M.E.-L.); (M.d.A.-G.); (A.C.)
| | - Marta Esteban-López
- National Centre for Environmental Health, Instituto de Salud Carlos III, 28220 Madrid, Spain; (N.D.-M.); (M.d.C.G.-C.); (M.E.-L.); (M.d.A.-G.); (A.C.)
| | - Mercedes de Alba-González
- National Centre for Environmental Health, Instituto de Salud Carlos III, 28220 Madrid, Spain; (N.D.-M.); (M.d.C.G.-C.); (M.E.-L.); (M.d.A.-G.); (A.C.)
| | - Andromachi Katsonouri
- Cyprus State General Laboratory, Ministry of Health, P.O. Box 28648, Nicosia 2081, Cyprus;
| | - Tiina Santonen
- Finnish Institute of Occupational Health, P.O. Box 40, 00032 Työterveyslaitos, Finland;
| | - Ana Cañas-Portilla
- National Centre for Environmental Health, Instituto de Salud Carlos III, 28220 Madrid, Spain; (N.D.-M.); (M.d.C.G.-C.); (M.E.-L.); (M.d.A.-G.); (A.C.)
- Correspondence: (S.P.-D.); (A.C.-P.)
| | - Argelia Castaño
- National Centre for Environmental Health, Instituto de Salud Carlos III, 28220 Madrid, Spain; (N.D.-M.); (M.d.C.G.-C.); (M.E.-L.); (M.d.A.-G.); (A.C.)
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