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      The Joint Effect of Prenatal Exposure to Metal Mixtures on Neurodevelopmental Outcomes at 20–40 Months of Age: Evidence from Rural Bangladesh

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          Abstract

          Background:

          Exposure to chemical mixtures is recognized as the real-life scenario in all populations, needing new statistical methods that can assess their complex effects.

          Objectives:

          We aimed to assess the joint effect of in utero exposure to arsenic, manganese, and lead on children’s neurodevelopment.

          Methods:

          We employed a novel statistical approach, Bayesian kernel machine regression (BKMR), to study the joint effect of coexposure to arsenic, manganese, and lead on neurodevelopment using an adapted Bayley Scale of Infant and Toddler Development™. Third Edition, in 825 mother–child pairs recruited into a prospective birth cohort from two clinics in the Pabna and Sirajdikhan districts of Bangladesh. Metals were measured in cord blood using inductively coupled plasma-mass spectrometry.

          Results:

          Analyses were stratified by clinic due to differences in exposure profiles. In the Pabna district, which displayed high manganese levels [interquartile range (IQR): 4.8, 18 μ g / dl ], we found a statistically significant negative effect of the mixture of arsenic, lead, and manganese on cognitive score when cord blood metals concentrations were all above the 60th percentile ( As 0.7 μ g / dl , Mn 6.6 μ g / dl , Pb 4.2 μ g / dl ) compared to the median ( As = 0.5 μ g / dl , Mn = 5.8 μ g / dl , Pb = 3.1 μ g / dl ). Evidence of a nonlinear effect of manganese was found. A change in log manganese from the 25th to the 75th percentile when arsenic and manganese were at the median was associated with a decrease in cognitive score of 0.3 ( 0.5 , 0.1 ) standard deviations. Our study suggests that arsenic might be a potentiator of manganese toxicity.

          Conclusions:

          Employing a novel statistical method for the study of the health effects of chemical mixtures, we found evidence of neurotoxicity of the mixture, as well as potential synergism between arsenic and manganese. https://doi.org/10.1289/EHP614

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          Most cited references36

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          Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures.

          Because humans are invariably exposed to complex chemical mixtures, estimating the health effects of multi-pollutant exposures is of critical concern in environmental epidemiology, and to regulatory agencies such as the U.S. Environmental Protection Agency. However, most health effects studies focus on single agents or consider simple two-way interaction models, in part because we lack the statistical methodology to more realistically capture the complexity of mixed exposures. We introduce Bayesian kernel machine regression (BKMR) as a new approach to study mixtures, in which the health outcome is regressed on a flexible function of the mixture (e.g. air pollution or toxic waste) components that is specified using a kernel function. In high-dimensional settings, a novel hierarchical variable selection approach is incorporated to identify important mixture components and account for the correlated structure of the mixture. Simulation studies demonstrate the success of BKMR in estimating the exposure-response function and in identifying the individual components of the mixture responsible for health effects. We demonstrate the features of the method through epidemiology and toxicology applications.
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            Water Arsenic Exposure and Children’s Intellectual Function in Araihazar, Bangladesh

            Exposure to arsenic has long been known to have neurologic consequences in adults, but to date there are no well-controlled studies in children. We report results of a cross-sectional investigation of intellectual function in 201 children 10 years of age whose parents participate in our ongoing prospective cohort study examining health effects of As exposure in 12,000 residents of Araihazar, Bangladesh. Water As and manganese concentrations of tube wells at each child’s home were obtained by surveying all wells in the study region. Children and mothers came to our field clinic, where children received a medical examination in which weight, height, and head circumference were measured. Children’s intellectual function on tests drawn from the Wechsler Intelligence Scale for Children, version III, was assessed by summing weighted items across domains to create Verbal, Performance, and Full-Scale raw scores. Children provided urine specimens for measuring urinary As and creatinine and were asked to provide blood samples for measuring blood lead and hemoglobin concentrations. Exposure to As from drinking water was associated with reduced intellectual function after adjustment for sociodemographic covariates and water Mn. Water As was associated with reduced intellectual function, in a dose–response manner, such that children with water As levels > 50 μg/L achieved significantly lower Performance and Full-Scale scores than did children with water As levels < 5.5 μg/L. The association was generally stronger for well-water As than for urinary As.
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              Early postnatal blood manganese levels and children's neurodevelopment.

              Recent evidence suggests that low-level environmental exposure to manganese adversely affects child growth and neurodevelopment. Previous studies have addressed the effects of prenatal exposure, but little is known about developmental effects of early postnatal exposure. We studied 448 children born in Mexico City from 1997 through 2000, using a longitudinal study to investigate neurotoxic effects of early-life manganese exposure. Archived blood samples, collected from children at 12 and 24 months of age, were analyzed for manganese levels using inductively coupled plasma mass spectrometry. Mental and psychomotor development were scored using Bayley Scales of Infant Development at 6-month intervals between 12 and 36 months of age. At 12 months of age, the mean (SD) blood manganese level was 24.3 (4.5)microg/L and the median was 23.7 microg/L; at 24 months, these values were 21.1 (6.2) microg/L and 20.3 microg/L, respectively. Twelve- and 24-month manganese concentrations were correlated (Spearman correlation = 0.55) and levels declined over time ([beta] = -5.7 [95% CI = -6.2 to -5.1]). We observed an inverted U-shaped association between 12-month blood manganese and concurrent mental development scores (compared with the middle 3 manganese quintiles, for the lowest manganese quintile, [beta] = -3.3 [-6.0 to -0.7] and for the highest manganese quintile, [beta] = -2.8 [-5.5 to -0.2]). This 12-month manganese effect was apparent but diminished with mental development scores at later ages. The 24-month manganese levels were not associated with neurodevelopment. These results suggest a possible biphasic dose-response relationship between early-life manganese exposure at lower exposure levels and infant neurodevelopment. The data are consistent with manganese as both an essential nutrient and a toxicant.
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                Author and article information

                Journal
                Environ Health Perspect
                Environ. Health Perspect
                EHP
                Environmental Health Perspectives
                Environmental Health Perspectives
                0091-6765
                1552-9924
                26 June 2017
                June 2017
                : 125
                : 6
                : 067015
                Affiliations
                [ 1 ]Laboratory for Psychiatric Biostatistics, McLean Hospital , Belmont, Massachussetts, USA
                [ 2 ]Department of Psychiatry, Harvard Medical School , Boston, Massachussetts, USA
                [ 3 ]Department of Neurology, Boston Children’s Hospital , Boston, Massachussetts, USA
                [ 4 ]Department of Environmental Health, Harvard T.H. Chan School of Public Health , Boston, Massachussetts, USA
                [ 5 ]Group Health Research Institute , Seattle, Washington, USA
                [ 6 ]Department of Environmental Health, Boston University School of Public Health , Boston, Massachussetts, USA
                [ 7 ]Dakha Community Hospital , Dakha, Bangladesh
                [ 8 ]College of Public Health and Human Sciences, Oregon State University , Portland, Oregon, USA
                [ 9 ]Department of Environmental Medicine and Public Health, Icahn School of Medicine, New York, New York, USA
                Author notes
                Address correspondence to L. Valeri, Laboratory for Psychiatric Biostatistics, McLean Hospital , 115 Mills St., Belmont, MA, USA. Telephone: 617-855-2561. Email: lvaleri@ 123456mclean.harvard.edu
                Article
                EHP614
                10.1289/EHP614
                5744746
                28669934
                8cc0b8f7-e213-4f22-ab7c-1102d333c366

                EHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted.

                History
                : 27 January 2016
                : 07 June 2016
                : 18 October 2016
                Categories
                Research

                Public health
                Public health

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