HBM4EU E-waste study – An untargeted metabolomics approach to characterize metabolic changes during E-waste recycling

E-waste contains hazardous chemicals that may be a direct health risk for workers involved in recycling. We conducted an untargeted metabolomics analysis of urine samples collected from male e-waste processing workers to explore metabolic changes associated with chemical exposures in e-waste recycling in Belgium, Finland, Latvia, Luxembourg, the Netherlands, Poland, and Portugal. Questionnaire data and urine samples were obtained from workers involved in the processing of e-waste (sorting, dismantling, shredding, pre-processing, metal, and non-metal processing), as well as from controls with no known occupational exposure. Pre- and post-shift urine samples were collected and analysed using ultrahigh-performance liquid chromatography-mass spectrometry (UPLC-MS). A total of 32 endogenous urinary metabolites were annotated with a Variable Importance in Projection (VIP) above 2, indicating that e-waste recycling is mainly associated with changes in steroid hormone and neurotransmitter metabolism, energy metabolism, bile acid biosynthesis, and inflammation. The highest VIP was observed for dopamine-o-quinone, which is linked to Parkinson's disease. These and other changes in metabolism in workers employed in the processing of e-waste need further verification in targeted studies.

Authors

Institutions

Publication Details

Journal
Environment International
Published
2025-01-16
DOI
https://doi.org/10.1016/j.envint.2025.109281
Citations
4
Primary Topic
Recycling and Waste Management Techniques
Type
article
Field-Weighted Citation Impact
3.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

HBM4EU E-waste study – An untargeted metabolomics approach to characterize metabolic changes during E-waste recycling

Radu Corneliu Duca, Lode Godderis, Linda Matisāne, Susana Viegas et al.
4 citations
Environment International
Recycling and Waste Management Techniques
3.99
article

HBM4EU E-waste study – An untargeted metabolomics approach to characterize metabolic changes during E-waste recycling

Radu Corneliu Duca, Lode Godderis, Linda Matisāne, Susana Viegas, Karolina Jagiełło, Lucyna Kozłowska, Tomasz Puzyn, Jelle Verdonck, Krzesimir Ciura, Tiina Santonen, Inese Mārtiņsone, Carla Martins, Selma Mahiout, Monika Sijko-Szpańska, Maria João Silva, Paul T.J. Scheepers, An Van Nieuwenhuyse
article en
4 citations

Abstract

E-waste contains hazardous chemicals that may be a direct health risk for workers involved in recycling. We conducted an untargeted metabolomics analysis of urine samples collected from male e-waste processing workers to explore metabolic changes associated with chemical exposures in e-waste recycling in Belgium, Finland, Latvia, Luxembourg, the Netherlands, Poland, and Portugal. Questionnaire data and urine samples were obtained from workers involved in the processing of e-waste (sorting, dismantling, shredding, pre-processing, metal, and non-metal processing), as well as from controls with no known occupational exposure. Pre- and post-shift urine samples were collected and analysed using ultrahigh-performance liquid chromatography-mass spectrometry (UPLC-MS). A total of 32 endogenous urinary metabolites were annotated with a Variable Importance in Projection (VIP) above 2, indicating that e-waste recycling is mainly associated with changes in steroid hormone and neurotransmitter metabolism, energy metabolism, bile acid biosynthesis, and inflammation. The highest VIP was observed for dopamine-o-quinone, which is linked to Parkinson's disease. These and other changes in metabolism in workers employed in the processing of e-waste need further verification in targeted studies.

Environment InternationalVol. 196
Radboud University Nijmegen (NL), Warsaw University of Life Sciences (PL), Finnish Institute of Occupational Health (FI), University of Gdańsk (PL), Riga Stradiņš University (LV), National Institute of Health Dr. Ricardo Jorge (PT), Laboratoire National de Santé (LU), Department of Public Health (MM), Gdańsk Medical University (PL), Universidade Nova de Lisboa (PT), KU Leuven (BE)
European Commission, Työsuojelurahasto, Szkola Glówna Gospodarstwa Wiejskiego w Warszawie
Openalex Percentile: Top 8%
Recycling and Waste Management Techniques
3.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.