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Verscheure E, Stierum R, Schlünssen V, Lund Würtz AM, Vanneste D, Kogevinas M, Harding BN, Broberg K, Zienolddiny-Narui S, Erdem JS, Das MK, Makris KC, Konstantinou C, Andrianou X, Dekkers S, Morris L, Pronk A, Godderis L, Ghosh M. Characterization of the internal working-life exposome using minimally and non-invasive sampling methods - a narrative review. ENVIRONMENTAL RESEARCH 2023; 238:117001. [PMID: 37683788 DOI: 10.1016/j.envres.2023.117001] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023]
Abstract
During recent years, we are moving away from the 'one exposure, one disease'-approach in occupational settings and towards a more comprehensive approach, taking into account the totality of exposures during a life course by using an exposome approach. Taking an exposome approach however is accompanied by many challenges, one of which, for example, relates to the collection of biological samples. Methods used for sample collection in occupational exposome studies should ideally be minimally invasive, while at the same time sensitive, and enable meaningful repeated sampling in a large population and over a longer time period. This might be hampered in specific situations e.g., people working in remote areas, during pandemics or with flexible work hours. In these situations, using self-sampling techniques might offer a solution. Therefore, our aim was to identify existing self-sampling techniques and to evaluate the applicability of these techniques in an occupational exposome context by conducting a literature review. We here present an overview of current self-sampling methodologies used to characterize the internal exposome. In addition, the use of different biological matrices was evaluated and subdivided based on their level of invasiveness and applicability in an occupational exposome context. In conclusion, this review and the overview of self-sampling techniques presented herein can serve as a guide in the design of future (occupational) exposome studies while circumventing sample collection challenges associated with exposome studies.
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Affiliation(s)
- Eline Verscheure
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Rob Stierum
- Netherlands Organisation for Applied Scientific Research TNO, Risk Analysis for Products in Development, Utrecht, the Netherlands
| | - Vivi Schlünssen
- Department of Public Health, Research unit for Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Anne Mette Lund Würtz
- Department of Public Health, Research unit for Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Dorian Vanneste
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Manolis Kogevinas
- Environment and Health over the Lifecourse Program, ISGlobal, Barcelona, Spain
| | - Barbara N Harding
- Environment and Health over the Lifecourse Program, ISGlobal, Barcelona, Spain
| | - Karin Broberg
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | | | - Mrinal K Das
- National Institute of Occupational Health, Oslo, Norway
| | - Konstantinos C Makris
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Corina Konstantinou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Xanthi Andrianou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Susan Dekkers
- Netherlands Organisation for Applied Scientific Research TNO, Risk Analysis for Products in Development, Utrecht, the Netherlands
| | | | - Anjoeka Pronk
- Netherlands Organisation for Applied Scientific Research TNO, Risk Analysis for Products in Development, Utrecht, the Netherlands
| | - Lode Godderis
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium; Idewe, External Service for Prevention and Protection at work, Heverlee, Belgium.
| | - Manosij Ghosh
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium.
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Assenhöj M, Ward LJ, Ghafouri B, Graff P, Ljunggren SA. Metal exposure from additive manufacturing and its effect on the nasal lavage fluid proteome - a pilot study. PLoS One 2021; 16:e0256746. [PMID: 34464420 PMCID: PMC8407577 DOI: 10.1371/journal.pone.0256746] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 08/15/2021] [Indexed: 12/01/2022] Open
Abstract
The use of metal additive manufacturing (AM) is steadily increasing and is an emerging concern regarding occupational exposure. In this study, non-invasive sampled nasal lavage fluid (NLF) from the upper airways was collected from metal AM operators at the beginning and end of a workweek during two consecutive years with preventive interventions in the occupational setting in-between (n = 5 year 1, n = 9 year 2). During year one, NLF was also collected from welders (n = 6) from the same company to get a comparison with a traditional manufacturing technique with known exposure and health risks. The samples were investigated using untargeted proteomics, as well as using multi-immunoassay to analyze a panel of 71 inflammatory protein markers. NLF in AM operators from year 1 showed decreased levels of Immunoglobulin J and WAP four-disulfide core domain protein 2 and increased levels of Golgi membrane protein 1, Uteroglobin and Protein S100-A6 at the end of the workweek. At year two, after preventive interventions, there were no significant differences at the end of the workweek. In welders, Annexin A1 and Protein S100-A6 were increased at the end of the workweek. The analysis of 71 inflammatory biomarkers showed no significant differences between the beginning and the end of workweek year 1 in AM operators. We identified several proteins of interest in the AM operators that could serve as possible markers for exposure in future studies with a larger cohort for validation.
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Affiliation(s)
- Maria Assenhöj
- Department of Health, Medicine and Caring Sciences, Occupational and Environmental Medicine Center, Linköping University, Linköping, Sweden
| | - Liam J. Ward
- Department of Clinical Sciences, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
| | - Bijar Ghafouri
- Department of Health, Medicine and Caring Sciences, Pain and Rehabilitation Center, Linköping University, Linköping, Sweden
| | - Pål Graff
- National Institute of Occupational Health, Oslo, Norway
| | - Stefan A. Ljunggren
- Department of Health, Medicine and Caring Sciences, Occupational and Environmental Medicine Center, Linköping University, Linköping, Sweden
- * E-mail:
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Ljunggren SA, Karlsson H, Ståhlbom B, Krapi B, Fornander L, Karlsson LE, Bergström B, Nordenberg E, Ervik TK, Graff P. Biomonitoring of Metal Exposure During Additive Manufacturing (3D Printing). Saf Health Work 2019; 10:518-526. [PMID: 31890335 PMCID: PMC6933169 DOI: 10.1016/j.shaw.2019.07.006] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 07/10/2019] [Accepted: 07/29/2019] [Indexed: 02/06/2023] Open
Abstract
Background Additive manufacturing (AM) is a rapidly expanding new technology involving challenges to occupational health. Here, metal exposure in an AM facility with large-scale metallic component production was investigated during two consecutive years with preventive actions in between. Methods Gravimetric analyzes measured airborne particle concentrations, and filters were analyzed for metal content. In addition, concentrations of airborne particles <300 nm were investigated. Particles from recycled powder were characterized. Biomonitoring of urine and dermal contamination among AM operators, office personnel, and welders was performed. Results Total and inhalable dust levels were almost all below occupational exposure limits, but inductively coupled plasma mass spectrometry showed that AM operators had a significant increase in cobalt exposure compared with welders. Airborne particle concentrations (<300 nm) showed transient peaks in the AM facility but were lower than those of the welding facility. Particle characterization of recycled powder showed fragmentation and condensates enriched in volatile metals. Biomonitoring showed a nonsignificant increase in the level of metals in urine in AM operators. Dermal cobalt and a trend for increasing urine metals during Workweek Year 1, but not in Year 2, indicated reduced exposure after preventive actions. Conclusion Gravimetric analyses showed low total and inhalable dust exposure in AM operators. However, transient emission of smaller particles constitutes exposure risks. Preventive actions implemented by the company reduced the workers' metal exposure despite unchanged emissions of particles, indicating a need for careful design and regulation of the AM environments. It also emphasizes the need for relevant exposure markers and biomonitoring of health risks.
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Affiliation(s)
- Stefan A Ljunggren
- Occupational and Environmental Medicine Center, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Helen Karlsson
- Occupational and Environmental Medicine Center, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Bengt Ståhlbom
- Occupational and Environmental Medicine Center, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Blerim Krapi
- Occupational and Environmental Medicine Center, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Louise Fornander
- Department of Occupational and Environmental Medicine, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Lovisa E Karlsson
- Department of Occupational and Environmental Medicine, Örebro University Hospital, Region Örebro County, Sweden
| | - Bernt Bergström
- Department of Occupational and Environmental Medicine, Örebro University Hospital, Region Örebro County, Sweden
| | | | | | - Pål Graff
- National Institute of Occupational Health, Oslo, Norway
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