National Center for Occupational Safety and Health, NHC, Beijing, 102308, China.
NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing, 102308, China.
Int Arch Occup Environ Health. 2023 Sep;96(7):1029-1037. doi: 10.1007/s00420-023-01987-4. Epub 2023 May 27.
Welding fume exposure is inevitable of welding workers and poses a severe hazard to their health since welding is a necessary industrial process. Thus, preclinical diagnostic symptoms of worker exposure are of great importance. The aim of this study was to screen serum differential metabolites of welding fume exposure based on UPLC-QTOF-MS/MS.
In 2019, 49 participants were recruited at a machinery manufacturing factory. The non-target metabolomics technique was used to clarify serum metabolic signatures in people exposed to welding fume. Differential metabolites were screened by OPLS-DA analysis and Student's t-test. The receiver operating characteristic curve evaluated the discriminatory power of differential metabolites. And the correlations between differential metabolites and metal concentrations in urine and whole blood were analyzed utilizing Pearson correlation analysis.
Thirty metabolites were increased significantly, and 5 metabolites were decreased. The differential metabolites are mainly enriched in the metabolism of arachidonic acid, glycero phospholipid, linoleic acid, and thiamine. These results observed that lysophosphatidylcholine (20:1/0:0) and phosphatidylglycerol(PGF1α/16:0) had a tremendous anticipating power with relatively increased AUC values (AUC > 0.9), and they also presented a significant correlation of Mo concentrations in whole blood and Cu concentrations in urine, respectively.
The serum metabolism was changed significantly after exposure to welding fume. Lysophosphatidylcholine (20:1/0:0) and phosphatidylglycerol (PGF1α/16:0) may be a potential biological mediator and biomarker for laborers exposure to welding fume.
焊接过程中会不可避免地产生焊接烟尘，这对工人的健康构成严重危害。因此，早期发现工人接触焊接烟尘的临床症状非常重要。本研究旨在基于 UPLC-QTOF-MS/MS 筛选接触焊接烟尘工人的血清差异代谢物。
2019 年，在一家机械制造工厂招募了 49 名参与者。采用非靶向代谢组学技术阐明接触焊接烟尘人群的血清代谢特征。通过 OPLS-DA 分析和 Student's t 检验筛选差异代谢物。利用受试者工作特征曲线评估差异代谢物的区分能力。利用 Pearson 相关分析分析差异代谢物与尿和全血中金属浓度的相关性。
有 30 种代谢物显著增加，5 种代谢物减少。差异代谢物主要富集在花生四烯酸、甘油磷脂、亚油酸和硫胺素代谢。结果表明，溶血磷脂酰胆碱（20:1/0:0）和磷脂酰甘油（PGF1α/16:0）具有巨大的预测能力，其 AUC 值相对较高（AUC＞0.9），且与全血钼浓度和尿铜浓度分别呈显著相关。
接触焊接烟尘后血清代谢明显改变。溶血磷脂酰胆碱（20:1/0:0）和磷脂酰甘油（PGF1α/16:0）可能是接触焊接烟尘的潜在生物介质和生物标志物。
