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Van Horne YO, Farzan SF, Johnston JE. Metal-mixtures in toenails of children living near an active industrial facility in Los Angeles County, California. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2021; 31:427-441. [PMID: 33935287 PMCID: PMC8893014 DOI: 10.1038/s41370-021-00330-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 04/01/2021] [Accepted: 04/08/2021] [Indexed: 05/15/2023]
Abstract
BACKGROUND Children residing in communities near metalworking industries are vulnerable to multiple toxic metal exposures. Understanding biomarkers of exposure to multiple toxic metals is important to characterize cumulative burden and to distinguish potential exposure sources in such environmental justice neighborhoods impacted by industrial operations. Exposure to metal mixtures has not been well-characterized among children residing in the United States, and is understudied in communities of color. METHODS In this study we used toenail clippings, a noninvasive biomarker, to assess exposure to arsenic (As), cadmium (Cd), mercury (Hg), manganese (Mn), lead (Pb), antimony (Sb), selenium (Se), and vanadium (V). We used nonnegative matrix factorization (NMF) to identify "source" signatures and patterns of exposure among predominantly working class Latinx children residing near an industrial corridor in Southeast Los Angeles County. Additionally, we investigated the association between participant demographic, spatial, and dietary characteristics with identified metal signatures. RESULTS Through NMF, we identified three groupings (source factors) for the metal concentrations in children's toenails. A grouping composed of Sb, Pb, As, and Cd, was identified as a potential industrial source factor, reflective of known airborne elemental emissions in the industrial corridor. We further identified a manganese source factor primarily composed of Mn, and a potential dietary source factor driven by Se and Hg. We observed differences in the industrial source factor by age of participants, while the dietary source factor varied by neighborhood. CONCLUSION Utilizing an unsupervised dimension reduction technique (NMF), we identified a "source signature" of contamination in toenail samples from children living near metalworking industry. Investigating patterns and sources of exposures in cumulatively burdened communities is necessary to identify appropriate public health interventions.
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Affiliation(s)
- Yoshira Ornelas Van Horne
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Shohreh F Farzan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jill E Johnston
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
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Gutiérrez-González E, García-Esquinas E, de Larrea-Baz NF, Salcedo-Bellido I, Navas-Acien A, Lope V, Gómez-Ariza JL, Pastor R, Pollán M, Pérez-Gómez B. Toenails as biomarker of exposure to essential trace metals: A review. ENVIRONMENTAL RESEARCH 2019; 179:108787. [PMID: 31610392 PMCID: PMC8164381 DOI: 10.1016/j.envres.2019.108787] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 09/26/2019] [Accepted: 09/30/2019] [Indexed: 05/19/2023]
Abstract
Health problems associated with essential trace metals can result from both inadequate (i.e., low intake) and excessive exposures (i.e., from environmental and/or occupational source). Thus, measuring the exposure level is a real challenge for epidemiologists. Among non-invasive biomarkers that intend to measure long-term exposure to essential trace metals, the toenail is probably the biological matrix with the greatest potential. This systematic review collects the current evidence regarding the validity of toenail clippings as exposure biomarker for trace metals such as boron, cobalt, copper, iron, manganese, molybdenum, selenium, silicon, vanadium and zinc. Special attention was paid to the time-window of exposure reflected by the toenail, the intraindividual variability in exposure levels over time in this matrix, and the relationship of toenail with other biomarkers, personal characteristics and environmental sources. Our search identified 139 papers, with selenium and zinc being the most studied elements. The variability among studies suggests that toenail levels may reflect different degrees of exposure and probably correspond to exposures occurred 3-12 months before sampling (i.e., for manganese/selenium). Few studies assessed the reproducibility of results over time and, for samples obtained 1-6 years apart, the correlation coefficient were between 0.26 and 0.66. Trace metal levels in toenails did not correlate well with those in the blood and urine and showed low-moderate correlation with those in the hair and fingernails. Available data suggests that for some elements (Se, Mn, Zn) toenail concentrations reflect long-term external exposures in fairly reproducible levels, while for other metals, this association has not yet been assessed. Among dietary factors, only toenail selenium showed clear associations with the intake of supplements or specific foods. The toenail levels could also represent occupational exposure, for instance, Mn exposure in welders. The scarcity of information on other essential trace elements, together with the great heterogeneity among studies makes the validation of the usage of toenails as biomarkers of exposure to these elements difficult. Standardization of sample collection, quality control, analytical techniques and reporting procedures might facilitate further research focused on the clear understanding of the significance of essential levels in this promising matrix and would enhance its utility in epidemiological research.
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Affiliation(s)
- Enrique Gutiérrez-González
- Public Health & Preventive Medicine Teaching Unit, National School of Public Health, Carlos III Institute of Health, Monforte de Lemos 5, 28029, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Monforte de Lemos 5, 28029, Madrid, Spain.
| | - Esther García-Esquinas
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Monforte de Lemos 5, 28029, Madrid, Spain; Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, C/ Arzobispo Morcillo 4, 28029, Madrid, Spain
| | - Nerea Fernández de Larrea-Baz
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Monforte de Lemos 5, 28029, Madrid, Spain; Department of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Carlos III Institute of Health, Monforte de Lemos 5, 28029, Madrid, Spain
| | - Inmaculada Salcedo-Bellido
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Monforte de Lemos 5, 28029, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada & Instituto de Investigación Biosanitaria de Granada, Av. de La Investigación, 11, 18016, Granada, Spain
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, 722 W 168th St, New York, NY, 10032, USA
| | - Virginia Lope
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Monforte de Lemos 5, 28029, Madrid, Spain; Department of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Carlos III Institute of Health, Monforte de Lemos 5, 28029, Madrid, Spain
| | - José Luis Gómez-Ariza
- Department of Chemistry, Faculty of Experimental Sciences, University of Huelva, Campus de El Carmen, Research Center on Health and Environment (RENSMA), C/ Menéndez Pelayo, 21002, Huelva, Spain
| | - Roberto Pastor
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Monforte de Lemos 5, 28029, Madrid, Spain; Department of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Carlos III Institute of Health, Monforte de Lemos 5, 28029, Madrid, Spain
| | - Marina Pollán
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Monforte de Lemos 5, 28029, Madrid, Spain; Department of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Carlos III Institute of Health, Monforte de Lemos 5, 28029, Madrid, Spain
| | - Beatriz Pérez-Gómez
- Public Health & Preventive Medicine Teaching Unit, National School of Public Health, Carlos III Institute of Health, Monforte de Lemos 5, 28029, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Monforte de Lemos 5, 28029, Madrid, Spain; Department of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Carlos III Institute of Health, Monforte de Lemos 5, 28029, Madrid, Spain.
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Sachse B, Kolbaum AE, Ziegenhagen R, Andres S, Berg K, Dusemund B, Hirsch-Ernst KI, Kappenstein O, Müller F, Röhl C, Lindtner O, Lampen A, Schäfer B. Dietary Manganese Exposure in the Adult Population in Germany-What Does it Mean in Relation to Health Risks? Mol Nutr Food Res 2019; 63:e1900065. [PMID: 31216097 DOI: 10.1002/mnfr.201900065] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 04/29/2019] [Indexed: 11/10/2022]
Abstract
Manganese is both an essential nutrient and a potential neurotoxicant. Therefore, the question arises whether the dietary manganese intake in the German population is on the low or high side. Results from a pilot total diet study in Germany presented here reveal that the average dietary manganese intake in the general population in Germany aged 14-80 years is about 2.8 mg day-1 for a person of 70 kg body weight. This exposure level is within the intake range of 2-5 mg per person and day as recommended by the societies for nutrition in Germany, Austria, and Switzerland. No information on the dietary exposure of children in Germany can be provided so far. Although reliable information on health effects related to oral manganese exposure is limited, there is no indication from the literature that these dietary intake levels are associated with adverse health effects either by manganese deficiency or excess. However, there is limited evidence that manganese taken up as a highly bioavailable bolus, for example, uptake via drinking water or food supplements, could pose a potential risk to human health-particularly in certain subpopulations-when certain intake amounts, which are currently not well defined, are exceeded.
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Affiliation(s)
- Benjamin Sachse
- German Federal Institute for Risk Assessment (BfR), Department of Food Safety, 10589, Berlin, Germany
| | - Anna Elena Kolbaum
- German Federal Institute for Risk Assessment (BfR), Department of Exposure, 12277, Berlin, Germany
| | - Rainer Ziegenhagen
- German Federal Institute for Risk Assessment (BfR), Department of Food Safety, 10589, Berlin, Germany
| | - Susanne Andres
- German Federal Institute for Risk Assessment (BfR), Department of Food Safety, 10589, Berlin, Germany
| | - Katharina Berg
- German Federal Institute for Risk Assessment (BfR), Department of Exposure, 12277, Berlin, Germany
| | - Birgit Dusemund
- German Federal Institute for Risk Assessment (BfR), Department of Food Safety, 10589, Berlin, Germany
| | - Karen Ildico Hirsch-Ernst
- German Federal Institute for Risk Assessment (BfR), Department of Food Safety, 10589, Berlin, Germany
| | - Oliver Kappenstein
- German Federal Institute for Risk Assessment (BfR), Department of Chemicals and Product Safety, 10589, Berlin, Germany
| | - Frederic Müller
- German Federal Institute for Risk Assessment (BfR), Department of Chemicals and Product Safety, 10589, Berlin, Germany
| | - Claudia Röhl
- German Federal Institute for Risk Assessment (BfR), Department of Food Safety, 10589, Berlin, Germany.,State Agency for Social Services Schleswig-Holstein (LAsD), Department of Environmental Health Protection, 24105, Kiel, Germany
| | - Oliver Lindtner
- German Federal Institute for Risk Assessment (BfR), Department of Exposure, 12277, Berlin, Germany
| | - Alfonso Lampen
- German Federal Institute for Risk Assessment (BfR), Department of Food Safety, 10589, Berlin, Germany
| | - Bernd Schäfer
- German Federal Institute for Risk Assessment (BfR), Department of Food Safety, 10589, Berlin, Germany
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Hoet P, Roels HA. Significance and Usefulness of Biomarkers of Exposure to Manganese. MANGANESE IN HEALTH AND DISEASE 2014. [DOI: 10.1039/9781782622383-00355] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Manganese (Mn) accomplishes functions essential to maintaining human health, but at the same time this trace element can be toxic at low levels of exposure and accurate estimation of internal exposure is needed. A biomarker of exposure to Mn is meaningful only if there is sufficient knowledge of the toxicokinetics determining its presence in a biological medium (e.g. whole blood, plasma, urine, hair, nail). Moreover, biological monitoring of exposure to Mn is useful only when the biomarker is sufficiently specific and sensitive to distinguish exposed from non-exposed subjects, when it is dose-related to the external exposure (current, recent, or time-integrated), and when it displays reasonable dose–effect/response relationships with the occurrence of adverse effects on the central nervous system, the critical target for Mn exposure. Human investigations in which biomarkers of Mn exposure meet all these criteria are hard to locate. Overall, the available studies report poor or no associations on an individual basis between external (Mn in air or drinking water) and internal (Mn in blood, urine, hair, or nail) Mn exposure indices. This may be to some extent explained by features inherent of the Mn metabolism (homeostatic control), the Mn biomarker's half-life with respect to the exposure window, and the variable nature of external exposure scenarios. Studies particularly dealing with Mn inhalation exposure, different or poorly described methodological approaches, or air sampling strategies may render direct comparison and interpretation of results a tedious task. Nevertheless, several studies report significant dose–effect associations between biomarkers of Mn exposure and subclinical deficits of psychomotor or neuropsychological test performances. Because directly associated with the site of toxic action and providing the magnetic resonance imaging is done no later than three months after Mn exposure ceased, the Mn T1 relaxation time is potentially the better biomarker of Mn exposure in a clinical context (e.g. after long-term parenteral nutrition, chronic liver failure, methcathinone drug abuse). Magnetic resonance imaging is, however, unpractical as a tool for biological monitoring of exposure to Mn in the occupational setting (inhalation) and in the general population (air, drinking water). In conclusion, it would be inappropriate to recommend, on the basis of the currently available evidence, a reliable well-validated biomarker of exposure to Mn, or to establish a health-based threshold value for subclinical neurotoxic effects.
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Affiliation(s)
- Perrine Hoet
- Université catholique de Louvain (UCL), Institut de Recherche Expérimentale et Clinique (IREC), Louvain Centre for Toxicology and Applied Pharmacology (LTAP) Bruxelles Belgium
| | - Harry A. Roels
- Université catholique de Louvain (UCL), Institut de Recherche Expérimentale et Clinique (IREC), Louvain Centre for Toxicology and Applied Pharmacology (LTAP) Bruxelles Belgium
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Laohaudomchok W, Lin X, Herrick RF, Fang SC, Cavallari JM, Christiani DC, Weisskopf MG. Toenail, blood, and urine as biomarkers of manganese exposure. J Occup Environ Med 2011; 53:506-10. [PMID: 21494156 PMCID: PMC3092003 DOI: 10.1097/jom.0b013e31821854da] [Citation(s) in RCA: 96] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE This study examined the correlation between manganese exposure and manganese concentrations in different biomarkers. METHODS Air measurement data and work histories were used to determine manganese exposure over a work shift and cumulative exposure. Toenail samples (n = 49), as well as blood and urine before (n = 27) and after (urine, n = 26; blood, n = 24) a work shift were collected. RESULTS Toenail manganese, adjusted for age and dietary manganese, was significantly correlated with cumulative exposure in 7 to 9, 10 to 12, and 7 to 12 months before toenail clipping date, but not 1 to 6 months. Manganese exposure over a work shift was not correlated with changes in blood nor urine manganese. CONCLUSIONS Toenails appeared to be a valid measure of cumulative manganese exposure 7 to 12 months earlier. Neither change in blood nor urine manganese appeared to be suitable indicators of exposure over a typical work shift.
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Affiliation(s)
- Wisanti Laohaudomchok
- Department of Environmental Health, Harvard School of Public Health, Boston, MA 02215, USA.
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