{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T09:55:25Z","timestamp":1790848525568,"version":"4.1.0"},"reference-count":35,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T00:00:00Z","timestamp":1788134400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T00:00:00Z","timestamp":1788134400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["analyticalsciencejournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Applied Toxicology"],"published-print":{"date-parts":[[2026,11]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Electronic\u2010waste (e\u2010waste) recycling is an important source of occupational exposure to complex mixtures of heavy metals, yet the broader metabolic consequences remain insufficiently characterized. Untargeted metabolomics provides a hypothesis\u2010generating approach for identifying systemic biochemical alterations associated with such exposure. A cross\u2010sectional serum metabolomics study was performed using liquid chromatography\u2013quadrupole time\u2010of\u2010flight mass spectrometry (LC\u2010QTOF\u2010MS) in negative electrospray ionization mode, including 30 e\u2010waste recycling workers and 46 non\u2010exposed controls. After preprocessing, 2305 metabolic features were retained. Multivariate analysis indicated separation between exposed workers and controls. Univariate filtering identified 44 putatively annotated discriminatory features (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.05, fold change\u2009&gt;\u20091.5), of which 20 also showed VIP scores\u2009&gt;\u20091.0. Steroid\u2010related metabolites (pregnenolone, 17\u2010hydroxyprogesterone, corticosterone, and tetrahydrocorticosterone) and eicosanoid\/oxylipin\u2010related features (thromboxane B2, prostaglandin H2, prostaglandin B2, 15\u2010HETE, and 5,6\u2010DHET) were among the main contributors to group discrimination. Pathway analysis indicated steroid\u2010related metabolism as the strongest pathway\u2010level signal, whereas arachidonic acid metabolism and several additional pathways showed exploratory trends. Overall, no statistically significant associations between individual blood metal levels and discriminatory metabolites remained after correction for multiple testing. These findings indicate that the observed metabolic differences are more appropriately characterized as exposure group associated rather than directly attributable to any single measured metal. Occupational e\u2010waste exposure was associated with a distinct serum metabolic profile, with the strongest differences involving steroid\u2010related metabolites and additional variation in eicosanoid\/oxylipin\u2010related features. These findings support the utility of untargeted metabolomics for characterizing exposure\u2010associated metabolic signatures and provide a basis for future targeted and longitudinal studies.\n                  <\/jats:p>","DOI":"10.1002\/jat.70421","type":"journal-article","created":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:01:26Z","timestamp":1788220886000},"page":"4231-4241","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Exposure\u2010Associated Metabolic Changes in Electronic\u2010Waste Recycling Workers: An Exploratory Untargeted Metabolomics Study"],"prefix":"10.1002","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7429-9349","authenticated-orcid":false,"given":"Ozan","family":"Kaplan","sequence":"first","affiliation":[{"name":"Department of Analytical Chemistry, Faculty of Pharmacy Hacettepe University  Ankara 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Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4259-2123","authenticated-orcid":false,"given":"Canan","family":"Demir","sequence":"additional","affiliation":[{"name":"Department of Occupational Medicine Gazi Mustafa Kemal Occupational and Environmental Diseases Hospital  Ankara Turkey"},{"name":"Department of Chest Diseases Dokuz Eyl\u00fcl University  Izmir Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7051-0490","authenticated-orcid":false,"given":"G\u00f6zde","family":"Girgin","sequence":"additional","affiliation":[{"name":"Department of Toxicology, Faculty of Pharmacy Hacettepe University  Ankara Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7712-5512","authenticated-orcid":false,"given":"Mustafa","family":"Celebier","sequence":"additional","affiliation":[{"name":"Department of Analytical Chemistry, Faculty of Pharmacy Hacettepe University  Ankara Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5497-9600","authenticated-orcid":false,"given":"Terken","family":"Baydar","sequence":"additional","affiliation":[{"name":"Department of Toxicology, Faculty of Pharmacy Hacettepe University  Ankara 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