From: Metabolomics and proteomics in occupational medicine: a comprehensive systematic review
Authors, year | Occupational Exposure | Population | Biological matrix | Analytical methods | Main Outcome | Conclusions |
---|---|---|---|---|---|---|
Ghafouri et al., 2016 [98] | Physical workload | 13 farmers with musculoskeletal disorders (MSD) and matched rural non-farmer controls. | Plasma | 2DE with silver staining, followed by MS | 15 plasma proteins were differentially present in MSD farmers and implicate systemic inflammation | Findings support the hypothesis that MSD in farmers might involve systemic inflammation, offering insights into MSD pathogenesis and potential biomarkers |
Parker et al., 2012 [99] | Physical activity in the mining industry | 10 healthy male mining workers | Urine | SELDI-TOF MS, urea and cortisol assays, and protein identification through LC-MS/MS | Increased urinary levels of urea and cortisol post-shift and the LG3 peptide of endorepellin were discovered as novel biomarkers associated with physical activity | Urinary LG3 peptide levels may be a biomarker of physical activity and potential musculoskeletal injury risk |