13 research outputs found

    Associations of iron metabolism genes with blood manganese levels: a population-based study with validation data from animal models

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>Given mounting evidence for adverse effects from excess manganese exposure, it is critical to understand host factors, such as genetics, that affect manganese metabolism.</p> <p>Methods</p> <p>Archived blood samples, collected from 332 Mexican women at delivery, were analyzed for manganese. We evaluated associations of manganese with functional variants in three candidate iron metabolism genes: <it>HFE </it>[hemochromatosis], <it>TF </it>[transferrin], and <it>ALAD </it>[δ-aminolevulinic acid dehydratase]. We used a knockout mouse model to parallel our significant results as a novel method of validating the observed associations between genotype and blood manganese in our epidemiologic data.</p> <p>Results</p> <p>Percentage of participants carrying at least one copy of <it>HFE C282Y</it>, <it>HFE H63D</it>, <it>TF P570S</it>, and <it>ALAD K59N </it>variant alleles was 2.4%, 17.7%, 20.1%, and 6.4%, respectively. Percentage carrying at least one copy of either <it>C282Y </it>or <it>H63D </it>allele in <it>HFE </it>gene was 19.6%. Geometric mean (geometric standard deviation) manganese concentrations were 17.0 (1.5) μg/l. Women with any <it>HFE </it>variant allele had 12% lower blood manganese concentrations than women with no variant alleles (β = -0.12 [95% CI = -0.23 to -0.01]). <it>TF </it>and <it>ALAD </it>variants were not significant predictors of blood manganese. In animal models, <it>Hfe</it><sup>-/- </sup>mice displayed a significant reduction in blood manganese compared with <it>Hfe</it><sup>+/+ </sup>mice, replicating the altered manganese metabolism found in our human research.</p> <p>Conclusions</p> <p>Our study suggests that genetic variants in iron metabolism genes may contribute to variability in manganese exposure by affecting manganese absorption, distribution, or excretion. Genetic background may be critical to consider in studies that rely on environmental manganese measurements.</p

    Detection of Carbon Nanotubes in Indoor Workplaces Using Elemental Impurities

    No full text
    This study investigated three area sampling approaches for using metal impurities in carbon nanotubes (CNTs) to identify CNT releases in workplace environments: air concentrations (μg/m<sup>3</sup>), surface loadings (μg/cm<sup>2</sup>), and passive deposition rates (μg/m<sup>2</sup>/h). Correlations between metal impurities and CNTs were evaluated by collecting simultaneous colocated area samples for thermal-optical analysis (for CNTs) and ICP-MS analysis (for metals) in a CNT manufacturing facility. CNTs correlated strongly with Co (residual catalyst) and Ni (impurity) in floor surface loadings, and with Co in passive deposition samples. Interpretation of elemental ratios (Co/Fe) assisted in distinguishing among CNT and non-CNT sources of contamination. Stable isotopes of Pb impurities were useful for identifying aerosolized CNTs in the workplace environment of a downstream user, as CNTs from different manufacturers each had distinctive Pb isotope signatures. Pb isotopes were not useful for identifying CNT releases within a CNT manufacturing environment, however, because the CNT signature reflected the indoor background signature. CNT manufacturing companies and downstream users of CNTs will benefit from the availability of alternative and complementary strategies for identifying the presence/absence of CNTs in the workplace and for monitoring the effectiveness of control measures

    Assay validation.

    No full text
    <p>A, Assay set-up for urinary marker detection. B, μNMR signals using MNPs with different sizes. * = <i>p</i> < 0.02, ** = <i>p</i> < 0.001, ns = not significant. Detection sensitivity measurements using serial dilutions of recombinant KIM-1(C) and Cystatin C (D) in buffer solution. Inset in C shows data points in low ranges of KIM-1. ΔR2 = R2 (sandwich)—R2 (bead only). E,F, Detection of KIM-1 (E) and Cystatin C (F) in 100% and 20% urine, respectively. The urine used was from a healthy patient (no. 20) with ranges of KIM-1 and Cystatin C that were not detectable. Note that all the clinical samples (in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0133417#pone.0133417.g003" target="_blank">Fig 3</a>) were analyzed based on the same dilution factors.</p

    Correlation between μUNPD & luminex method.

    No full text
    <p>Detection of KIM-1 (A) and Cystatin C (B). Levels of biomarker proteins for μUNPD and luminex were obtained from standard calibration curves from each method, individually.</p

    Three Cases of Lead Toxicity Associated with Consumption of Ayurvedic Medicines

    No full text
    Ayurveda is a traditional form of medicine used by majority of the Indians. Here we report three cases of lead toxicity, following intake of Ayurvedic medicines. Three patients presented with blood lead levels (BLLs) of 122.4, 115 and 42.8 μg/dl respectively at the time of hospitalization. The first case was chelated with D- penicillamine, the second with calcium disodium ethylene diamino tetra acetate (EDTA) and the third with environmental intervention and education. Associated Ayurvedic products were collected from patients and analyzed for metallic concentration. Cessation of Ayurvedic medication along with chelation, nutritional intervention and education, reduced the BLL to 27.4 μg/dl in the first case after 1 year, 21.1 μg/dl after 9 months in the second and 18.2 μg/dl after 6 months in the third case
    corecore