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Analysis of serum metabolome of laborers exposure to welding fume.
Peng, Fangda; Yu, Lijia; Zhang, Chunmin; Liu, Qicai; Yan, Kai; Zhang, Kangfu; Zheng, Yuqiao; Liu, Wubin; Li, Yan; Fan, Jingguang; Ding, Chunguang.
Affiliation
  • Peng F; National Center for Occupational Safety and Health, NHC, Beijing, 102308, China.
  • Yu L; NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing, 102308, China.
  • Zhang C; National Center for Occupational Safety and Health, NHC, Beijing, 102308, China.
  • Liu Q; NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing, 102308, China.
  • Yan K; National Center for Occupational Safety and Health, NHC, Beijing, 102308, China.
  • Zhang K; NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing, 102308, China.
  • Zheng Y; National Center for Occupational Safety and Health, NHC, Beijing, 102308, China.
  • Liu W; NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing, 102308, China.
  • Li Y; National Center for Occupational Safety and Health, NHC, Beijing, 102308, China.
  • Fan J; NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing, 102308, China.
  • Ding C; National Center for Occupational Safety and Health, NHC, Beijing, 102308, China.
Int Arch Occup Environ Health ; 96(7): 1029-1037, 2023 09.
Article in En | MEDLINE | ID: mdl-37243737
ABSTRACT

OBJECTIVE:

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.

METHODS:

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.

RESULTS:

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 (201/00) and phosphatidylglycerol(PGF1α/160) 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.

CONCLUSION:

The serum metabolism was changed significantly after exposure to welding fume. Lysophosphatidylcholine (201/00) and phosphatidylglycerol (PGF1α/160) may be a potential biological mediator and biomarker for laborers exposure to welding fume.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Welding / Occupational Exposure / Air Pollutants, Occupational Limits: Humans Language: En Journal: Int Arch Occup Environ Health Year: 2023 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Welding / Occupational Exposure / Air Pollutants, Occupational Limits: Humans Language: En Journal: Int Arch Occup Environ Health Year: 2023 Document type: Article Affiliation country: China