NMR-based metabolomics for the identification of predictive urinary metabolic biomarkers of workers exposed to welding fumes and volatile organic compounds

Authors

  • Ottavia Giampaoli NMR-based Metabolomics Laboratory (NMLab), Sapienza Università di Roma; Dipartimento di Biologia Ambientale, Sapienza Università di Roma
  • Mariangela Spagnoli Dipartimento di Medicina, Epidemiologia, Igiene del Lavoro e Ambientale, INAIL, Monte Porzio Catone
  • Fabio Sciubba NMR-based Metabolomics Laboratory (NMLab), Sapienza Università di Roma; Dipartimento di Biologia Ambientale, Sapienza Università di Roma
  • Giovanna Tranfo Dipartimento di Medicina, Epidemiologia, Igiene del Lavoro e Ambientale, INAIL, Monte Porzio Catone
  • Antonio Pietroiusti Dipartimento di Biomedicina e Prevenzione, Università degli Studi di Roma Tor Vergata, Roma
  • Renata Sisto Dipartimento di Medicina, Epidemiologia, Igiene del Lavoro e Ambientale, INAIL, Monte Porzio Catone
  • Silvia Canepari Dipartimento di Biologia Ambientale, Sapienza Università di Roma
  • Alfredo Miccheli NMR-based Metabolomics Laboratory (NMLab), Sapienza Università di Roma; Dipartimento di Biologia Ambientale, Sapienza Università di Roma

DOI:

https://doi.org/10.36125/ijoehy.v12i2.397

Keywords:

metabolomic, urinary biomarker, welding

Abstract

An untargeted urinary NMR-based metabolomic approach have been applied in order to evaluate the occupational exposure of workers to welding fumes and volatile organic compounds in a metal carpentry company. In addition, the data obtained in this study have been integrated with urinary datasets coming from targeted HPLC-MS/MS and ICP-MS analyses for the quantification of oxidative stress biomarkers and metals, respectively. NMR quantified 35 metabolites and multivariate statistical analysis was then applied to the integrated dataset, identifying the most important variables for the discrimination of classes (welding fumes and volatile organic compounds exposed workers). In particular, methylguanidine (MG), pseudouridine (PSI), 8-oxo-7,8-dihydroguanosine (8-OxoGuo) and mercury (Hg) have been identified as possible predictive biomarkers of welding fumes exposure, whereas 8-oxo-7,8-dihydro-2’-deoxyguanosine (8-OxodGuo) could be associated to volatile organic compounds exposure.

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Published

2022-07-01