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. 2004 Mar;46(3):241-8.
doi: 10.1097/01.jom.0000116900.49159.03.

Occupational exposure to welding fume among welders: alterations of manganese, iron, zinc, copper, and lead in body fluids and the oxidative stress status

Guojun Jane Li  1 , Long-Lian Zhang, Ling Lu, Ping Wu, Wei Zheng
Affiliations

Occupational exposure to welding fume among welders: alterations of manganese, iron, zinc, copper, and lead in body fluids and the oxidative stress status

Guojun Jane Li et al. J Occup Environ Med. 2004 Mar.

Abstract

Welders in this study were selected from a vehicle manufacturer; control subjects were from a nearby food factory. Airborne manganese levels in the breathing zones of welders and controls were 1.45 +/- SD1.08 mg/m and 0.11 +/- 0.07 microg/m, respectively. Serum levels of manganese and iron in welders were 4.3-fold and 1.9-fold, respectively, higher than those of controls. Blood lead concentrations in welders increased 2.5-fold, whereas serum zinc levels decreased 1.2-fold, in comparison with controls. Linear regression revealed the lack of associations between blood levels of five metals and welder's age. Furthermore, welders had erythrocytic superoxide dismutase activity and serum malondialdehyde levels 24% less and 78% higher, respectively, than those of controls. These findings suggest that occupational exposure to welding fumes among welders disturbs the homeostasis of trace elements in systemic circulation and induces oxidative stress.

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Figures

Fig. 1
Fig. 1
Concentrations of manganese in serum and urine among career welders as compared with control subjects. Data represent mean ± SD, n = 37 for welders and n = 50 for controls. **P < 0.01 compared with controls.
Fig. 2
Fig. 2
Relationship between erythrocytic SOD activity and welder’s professional years. SOD activity was determined using a commercially available assay kit. Data were analyzed by a linear regression (r = −0.211, P = 0.105, n = 37).
Fig. 3
Fig. 3
Relationship between serum MDA concentration and welder’s professional years. Serum MDA concentrations were determined by using a commercially available assay kit. Data were analyzed by a linear regression (r = 0.161, P = 0.171, n = 37).
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