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Metabolomics Analysis of Early Exposure to Welding Fumes in Apprentice Welders

  • Author / Creator
    Dueck, Meghan, E
  • Welding is defined as the joining of metals with extreme heat, producing fumes, which consist of harmful metals and ultrafine particulates that may lead to detrimental health effects. Currently, air sampling is the primary method to determine welding fume exposure, but is not always feasible. Biomarkers of welding fume exposure are sought for reliable measurement of exposure. Here I propose that urinary metabolomics may be applicable in screening for potential biomarkers for early exposure to welding fumes, and correlated with metal analysis to determine levels of urinary metals. Non-smoking, male apprentice welders (n = 23) and an age/sex-matched control group (n = 20) were recruited from the Northern Alberta Institute of Technology (NAIT) for this study. Air exposure samples were collected on days 0, 1, 7, and 50 of the welding program at NAIT, and 12 h fasting urine samples were collected on each occasion. Urinary metabolites and metal concentrations were analyzed using single proton nuclear magnetic resonance (1H-NMR) and inductively coupled plasma mass spectrometry (ICP-MS). A pooled urine sample was used as a quality control to determine reliable metabolites. Air samples demonstrated that welding participants were exposed to higher particle and metal concentrations compared to controls. Urinary metal analysis presented conflicting results, with measurements at or near the limit of detection. A total of 151 metabolites were fit to 1H-NMR spectra, with 61 validated as reliable (< 20% relative standard deviation) based on the pooled quality control sample (n = 33). Urinary metabolite, 2-hydroxyisobutyrate and three unknown metabolites, indicate relative promising differences on day 50, that were not observed in earlier sampling days between controls and welders. Metabolomics analysis shows promise in the detection of biomarkers of welding fume exposure, however further research is required.

  • Subjects / Keywords
  • Graduation date
    2017-11:Fall 2017
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3MS3KF87
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Medicine
  • Supervisor / co-supervisor and their department(s)
    • Lacy, Paige (Medicine)
    • Quemerais, Bernadette (Medicine)
  • Examining committee members and their departments
    • Kindzierski, Warren (Public Health)
    • Greiner, Russ (Computing Sciences)