Literature DB >> 22377681

Levels and predictors of airborne and internal exposure to manganese and iron among welders.

Beate Pesch1, Tobias Weiss, Benjamin Kendzia, Jana Henry, Martin Lehnert, Anne Lotz, Evelyn Heinze, Heiko Udo Käfferlein, Rainer Van Gelder, Markus Berges, Jens-Uwe Hahn, Markus Mattenklott, Ewald Punkenburg, Andrea Hartwig, Thomas Brüning.   

Abstract

We investigated airborne and internal exposure to manganese (Mn) and iron (Fe) among welders. Personal sampling of welding fumes was carried out in 241 welders during a shift. Metals were determined by inductively coupled plasma mass spectrometry. Mn in blood (MnB) was analyzed by graphite furnace atom absorption spectrometry. Determinants of exposure levels were estimated with multiple regression models. Respirable Mn was measured with a median of 62 (inter-quartile range (IQR) 8.4-320) μg/m(3) and correlated with Fe (r=0.92, 95% CI 0.90-0.94). Inhalable Mn was measured with similar concentrations (IQR 10-340 μg/m(3)). About 70% of the variance of Mn and Fe could be explained, mainly by the welding process. Ventilation decreased exposure to Fe and Mn significantly. Median concentrations of MnB and serum ferritin (SF) were 10.30 μg/l (IQR 8.33-13.15 μg/l) and 131 μg/l (IQR 76-240 μg/l), respectively. Few welders were presented with low iron stores, and MnB and SF were not correlated (r=0.07, 95% CI -0.05 to 0.20). Regression models revealed a significant association of the parent metal with MnB and SF, but a low fraction of variance was explained by exposure-related factors. Mn is mainly respirable in welding fumes. Airborne Mn and Fe influenced MnB and SF, respectively, in welders. This indicates an effect on the biological regulation of both metals. Mn and Fe were strongly correlated, whereas MnB and SF were not, likely due to higher iron stores among welders.

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Year:  2012        PMID: 22377681     DOI: 10.1038/jes.2012.9

Source DB:  PubMed          Journal:  J Expo Sci Environ Epidemiol        ISSN: 1559-0631            Impact factor:   5.563


  27 in total

1.  Hair Manganese as an Exposure Biomarker among Welders.

Authors:  Boris Reiss; Christopher D Simpson; Marissa G Baker; Bert Stover; Lianne Sheppard; Noah S Seixas
Journal:  Ann Occup Hyg       Date:  2015-09-25

2.  T1 Relaxation Rate (R1) Indicates Nonlinear Mn Accumulation in Brain Tissue of Welders With Low-Level Exposure.

Authors:  Eun-Young Lee; Michael R Flynn; Guangwei Du; Mechelle M Lewis; Rebecca Fry; Amy H Herring; Eric Van Buren; Scott Van Buren; Lisa Smeester; Lan Kong; Qing Yang; Richard B Mailman; Xuemei Huang
Journal:  Toxicol Sci       Date:  2015-05-07       Impact factor: 4.849

3.  Association of exposure to manganese and iron with striatal and thalamic GABA and other neurometabolites - Neuroimaging results from the WELDOX II study.

Authors:  Swaantje Casjens; Urike Dydak; Shalmali Dharmadhikari; Anne Lotz; Martin Lehnert; Clara Quetscher; Christoph Stewig; Benjamin Glaubitz; Tobias Schmidt-Wilcke; David Edmondson; Chien-Lin Yeh; Tobias Weiss; Christoph van Thriel; Lennard Herrmann; Siegfried Muhlack; Dirk Woitalla; Michael Aschner; Thomas Brüning; Beate Pesch
Journal:  Neurotoxicology       Date:  2017-08-11       Impact factor: 4.294

Review 4.  The neurobehavioral impact of manganese: results and challenges obtained by a meta-analysis of individual participant data.

Authors:  Monika Meyer-Baron; Michael Schäper; Guido Knapp; Roberto Lucchini; Silvia Zoni; Rita Bast-Pettersen; Dag G Ellingsen; Yngvar Thomassen; Shuchang He; Hong Yuan; Qiao Niu; Xian-Liang Wang; Yong-Jian Yang; Anders Iregren; Bengt Sjögren; Morten Blond; Peter Laursen; Bo Netterstrom; Donna Mergler; Rosemarie Bowler; Christoph van Thriel
Journal:  Neurotoxicology       Date:  2013-02-16       Impact factor: 4.294

5.  Association of exposure to manganese and iron with relaxation rates R1 and R2*- magnetic resonance imaging results from the WELDOX II study.

Authors:  Beate Pesch; Ulrike Dydak; Anne Lotz; Swaantje Casjens; Clara Quetscher; Martin Lehnert; Jessica Abramowski; Christoph Stewig; Chien-Lin Yeh; Tobias Weiss; Christoph van Thriel; Lennard Herrmann; Siegfried Muhlack; Dirk Woitalla; Benjamin Glaubitz; Tobias Schmidt-Wilcke; Thomas Brüning
Journal:  Neurotoxicology       Date:  2017-08-25       Impact factor: 4.294

6.  Assessing human metal accumulations in an urban superfund site.

Authors:  M Katie Hailer; Christopher P Peck; Michael W Calhoun; Robert F West; Kyle J James; Steven D Siciliano
Journal:  Environ Toxicol Pharmacol       Date:  2017-06-27       Impact factor: 4.860

7.  Thalamic GABA levels and occupational manganese neurotoxicity: Association with exposure levels and brain MRI.

Authors:  Ruoyun E Ma; Eric J Ward; Chien-Lin Yeh; Sandy Snyder; Zaiyang Long; Fulya Gokalp Yavuz; S Elizabeth Zauber; Ulrike Dydak
Journal:  Neurotoxicology       Date:  2017-09-02       Impact factor: 4.294

8.  Longitudinal T1 relaxation rate (R1) captures changes in short-term Mn exposure in welders.

Authors:  Mechelle M Lewis; Michael R Flynn; Eun-Young Lee; Scott Van Buren; Eric Van Buren; Guangwei Du; Rebecca C Fry; Amy H Herring; Lan Kong; Richard B Mailman; Xuemei Huang
Journal:  Neurotoxicology       Date:  2016-08-24       Impact factor: 4.294

9.  Reduction in welding fume and metal exposure of stainless steel welders: an example from the WELDOX study.

Authors:  Martin Lehnert; Tobias Weiss; Beate Pesch; Anne Lotz; Sandra Zilch-Schöneweis; Evelyn Heinze; Rainer Van Gelder; Jens-Uwe Hahn; Thomas Brüning
Journal:  Int Arch Occup Environ Health       Date:  2013-05-30       Impact factor: 3.015

Review 10.  Blood manganese as an exposure biomarker: state of the evidence.

Authors:  Marissa G Baker; Christopher D Simpson; Bert Stover; Lianne Sheppard; Harvey Checkoway; Brad A Racette; Noah S Seixas
Journal:  J Occup Environ Hyg       Date:  2014       Impact factor: 2.155

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