Racial disparities in children's blood lead levels: possible implication of divalent metal transporter 1

Evaluation of divalent metal transporter 1 (DMT1) (rs224589) polymorphism on blood lead levels of occupationally exposed individuals

Lead (Pb) is an environmental and public health toxicant. It affects various organ systems of the body, thereby disrupting their normal functions. To date, several genes that are known to influence the mechanism of action of lead and toxicity have been studied. Among them, the iron transporter gene, SLC11A2 (Solute Carrier 11 group A member 2) which codes for the transmembrane protein, DMT1 (Divalent Metal Transporter 1) has shown to transport other metals including zinc, copper, and lead. We investigated the influence of DMT1 polymorphism (rs224589) on blood lead (Pb-B) levels. In the present study, we enrolled 113 lead-exposed workers and performed a comprehensive biochemical analysis and genetic composition. The frequency of DMT1 variants observed in the total subjects (n = 113) was 42 % for homozygous CC wild type, 54 % for heterozygous CA, and 4 % for homozygous AA mutant. The heterozygous CA carriers presented higher Pb-B levels compared to wild type CC and mutant AA carriers. Further, a negative association was observed between Pb-B levels and hemoglobin in heterozygous CA carriers. Hence, C allele may be the risk allele that contributes to increased susceptibility to high Pb-B retention, and genotyping of DMT1 in lead exposed subjects might be used as a prognostic marker to impede organ damage due to lead toxicity.

Bayesian toxicokinetic modeling of cadmium exposure in Chinese population

Cadmium (Cd) is a toxic heavy metal widely present in the environment. Estimating its internal levels for a given external exposure using toxicokinetic (TK) models is key to the human health risk assessment of Cd. In this study, existing Cd TK models were adapted to develop a one-compartment TK model and a multi-compartment physiologically based toxicokinetic (PBTK) model by estimating the characteristics of Cd kinetics based on Cd exposure data from 814 Chinese residents. Both models not only considered the effect of gender difference on Cd kinetics, but also described the model parameters in terms of distributions to reflect individual variability. For both models, the posterior distributions of sensitive parameters were estimated using the Markov chain-Monte Carlo method (MCMC) and the approximate Bayesian computation-MCMC algorithm (ABC-MCMC). Validation with the test dataset showed 1.4-22.5% improvement in the root mean square error (RMSE) over the original models. After a systematic literature search, the optimized models showed acceptable prediction on other Chinese datasets. The study provides a method for parameter optimization of TK models under different exposure environment, and the validated models can serve as new quantitative assessment tools for the risk assessment of Cd in the Chinese population.

Exploring persistent racial/ethnic disparities in lead exposure among American children aged 1-5 years: results from NHANES 1999-2016

OBJECTIVE

The aim of this study was to determine whether long-standing racial disparities in lead exposure still exists for children age 1-5 years old. We examined if blood lead levels were higher among non-Hispanic Black children and others compared to non-Hispanic White children.

METHODS

Data from the National Health and Nutrition Examination Survey (NHANES) from 1999-2016 were used. Geometric mean blood lead levels (BLLs) were compared by race/ethnicity using log-transformed simple linear regression. Associations between race and elevated BLL were assessed using weighted Chi-square tests. Log-transformed multiple weighted linear regression was used to assess what factors affected BLLs.

RESULTS

A total of 6772 children were included in this study. In 1999-2000, the geometric mean BLL for non-Hispanic Black children was 3.08 μg/dL, compared to 2.03 μg/dL for non-Hispanic White children (p = 0.01). The difference in geometric mean BLL between non-Hispanic Black children and non-Hispanic White children continued to be statistically significant in later years (all p < 0.05) until 2015-2016 (0.89 μg/dL vs 0.74 μg/dL, p = 0.17). Log-transformed linear regression showed that being non-Hispanic Black and having low family income were independently associated with higher BLL.

CONCLUSION

Although lead exposure in the general population continued to decline for all racial/ethnic groups, non-Hispanic Black children still had higher BLL than non-Hispanic White children. In more recent years, the racial/ethnic gap was lesser but persisted. Racial/ethnic disparity in childhood BLL could be partially explained by socio-economic factors.

Ecogenetics of lead toxicity and its influence on risk assessment

Lead (Pb) toxicity is a public health problem affecting millions worldwide. Advances in 'omic' technology have paved the way to toxico-genomics which is currently revolutionizing the understanding of interindividual variations in susceptibility to Pb toxicity and its functional consequences to exposure. Our objective was to identify, comprehensively analyze, and curate all the potential genetic and epigenetic biomarkers studied to date in relation to Pb toxicity and its association with diseases. We screened a volume of research articles that focused on Pb toxicity and its association with genetic and epigenetic signatures in the perspective of occupational and environmental Pb exposure. Due to wide variations in population size, ethnicity, age-groups, and source of exposure in different studies, researchers continue to be skeptical on the topic of the influence of genetic variations in Pb toxicity. However, surface knowledge of the underlying genetic factors will aid in elucidating the mechanism of action of Pb. Moreover, in recent years, the application of epigenetics in Pb toxicity has become a promising area in toxicology to understand the influence of epigenetic mechanisms such as DNA methylation, chromatin remodeling, and small RNAs for the regulation of genes in response to Pb exposure during early life. Growing evidences of ecogenetic understanding (both genetic and epigenetic processes) in a dose-dependent manner may help uncover the mechanism of action of Pb and in the identification of susceptible groups. Such studies will further help in refining uncertainty factors and in addressing risk assessment of Pb poisoning.

Assessing the Influence of Age and Ethnicity on the Association Between Iron Status and Lead Concentration in Blood: Results from the Canadian Health Measures Survey (2007-2011)

Inverse association has been reported between iron intake and blood lead concentration (PbB) in epidemiological studies. Data on this association at a low dose of lead exposure are scarce, and the potential influence of ethnicity and age has not been previously reported. This study aimed to estimate the relation between serum ferritin, haemoglobin, haematocrit, and mean corpuscular volume and PbB among 6-18-year-old individuals. Data from Canadian Health and Measures Survey (CHMS), cycle 1 (2007-2009) and cycle 2 (2009-2011), were accessed. A household interview followed by a physical examination (including collection of blood) was performed. The quantification of lead and trace elements in blood was performed by inductively coupled plasma mass spectrometry. The mean PbB was 0.79 μg/dL (95 % confidence interval (95 % CI) 0.75-0.82). Except for haemoglobin levels, no association was found between PbB and any of the parameters of iron status, independently of age. A significant interaction was observed between ferritin levels and ethnicity in relation to PbB (p = 0.07). We found a little evidence of an association between iron status and PbB in the whole sample of subjects aged 6-18 years exposed to low levels of environmental lead. The significant interaction observed between ferritin levels and ethnicity in relation to BPb suggests that the influence of ferritin levels on lead uptake may change by ethnicity, even at low exposure.

Distribution of metals exposure and associations with cardiometabolic risk factors in the "Modeling the Epidemiologic Transition Study"

BACKGROUND

Metals are known endocrine disruptors and have been linked to cardiometabolic diseases via multiple potential mechanisms, yet few human studies have both the exposure variability and biologically-relevant phenotype data available. We sought to examine the distribution of metals exposure and potential associations with cardiometabolic risk factors in the "Modeling the Epidemiologic Transition Study" (METS), a prospective cohort study designed to assess energy balance and change in body weight, diabetes and cardiovascular disease risk in five countries at different stages of social and economic development.

METHODS

Young adults (25-45 years) of African descent were enrolled (N = 500 from each site) in: Ghana, South Africa, Seychelles, Jamaica and the U.S.A. We randomly selected 150 blood samples (N = 30 from each site) to determine concentrations of selected metals (arsenic, cadmium, lead, mercury) in a subset of participants at baseline and to examine associations with cardiometabolic risk factors.

RESULTS

Median (interquartile range) metal concentrations (μg/L) were: arsenic 8.5 (7.7); cadmium 0.01 (0.8); lead 16.6 (16.1); and mercury 1.5 (5.0). There were significant differences in metals concentrations by: site location, paid employment status, education, marital status, smoking, alcohol use, and fish intake. After adjusting for these covariates plus age and sex, arsenic (OR 4.1, 95% C.I. 1.2, 14.6) and lead (OR 4.0, 95% C.I. 1.6, 9.6) above the median values were significantly associated with elevated fasting glucose. These associations increased when models were further adjusted for percent body fat: arsenic (OR 5.6, 95% C.I. 1.5, 21.2) and lead (OR 5.0, 95% C.I. 2.0, 12.7). Cadmium and mercury were also related with increased odds of elevated fasting glucose, but the associations were not statistically significant. Arsenic was significantly associated with increased odds of low HDL cholesterol both with (OR 8.0, 95% C.I. 1.8, 35.0) and without (OR 5.9, 95% C.I. 1.5, 23.1) adjustment for percent body fat.

CONCLUSIONS

While not consistent for all cardiometabolic disease markers, these results are suggestive of potentially important associations between metals exposure and cardiometabolic risk. Future studies will examine these associations in the larger cohort over time.