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1.
Chem Res Toxicol ; 25(3): 676-86, 2012 Mar 19.
Article in English | MEDLINE | ID: mdl-22292500

ABSTRACT

The complex composition of welding fumes, multiplicity of molecular targets, diverse cellular effects, and lifestyles associated with laborers vastly complicate the assessment of welding fume exposure. The urinary metabolomic profiles of 35 male welders and 16 male office workers at a Taiwanese shipyard were characterized via (1)H NMR spectroscopy and pattern recognition methods. Blood samples for the same 51 individuals were also collected, and the expression levels of the cytokines and other inflammatory markers were examined. This study dichotomized the welding exposure variable into high (welders) versus low (office workers) exposures to examine the differences of continuous outcome markers-metabolites and inflammatory markers-between the two groups. Fume particle assessments showed that welders were exposed to different concentrations of chromium, nickel, and manganese particles. Multivariate statistical analysis of urinary metabolomic patterns showed higher levels of glycine, taurine, betaine/TMAO, serine, S-sulfocysteine, hippurate, gluconate, creatinine, and acetone and lower levels of creatine among welders, while only TNF-α was significantly associated with welding fume exposure among all cytokines and other inflammatory markers measured. Of the identified metabolites, the higher levels of glycine, taurine, and betaine among welders were suspected to play some roles in modulating inflammatory and oxidative tissue injury processes. In this metabolomics experiment, we also discovered that the association of the identified metabolites with welding exposure was confounded by smoking, but not with drinking, which is a finding consistent with known modified response of inflammatory markers among smokers. Our results correspond with prior studies that utilized nonmetabolomic analytical techniques and suggest that the metabolomic profiling is an efficient method to characterize the overall effect of welding fume exposure and other confounders.


Subject(s)
Air Pollutants, Occupational , Metals, Heavy , Occupational Exposure/analysis , Air Pollutants, Occupational/analysis , Alcohol Drinking/metabolism , Biomarkers/blood , Biomarkers/urine , Cytokines/metabolism , Environmental Monitoring , Humans , Leukocyte Count , Magnetic Resonance Spectroscopy , Male , Metabolomics , Metals, Heavy/analysis , Multivariate Analysis , Nasal Lavage Fluid/cytology , Smoking/metabolism , Taiwan , Welding
2.
Clin Nucl Med ; 36(8): 689-93, 2011 Aug.
Article in English | MEDLINE | ID: mdl-21716022

ABSTRACT

PURPOSE: Tc-99m TRODAT is an agent for dopamine transporters and measuring dopamine innervation of the striatum. An association between Parkinson disease and body burden mercury level has been reported in the scientific published data. The purpose of this study was to investigate the effect of mercury exposure on dopamine transporters in the striatum measured by Tc-99m TRODAT single-photon emission computed tomography (SPECT). METHOD AND MATERIALS: Study subjects included 17 workers who worked in a lamp factory at risk for mercury vapor exposure and 15 age-matched healthy controls. All subjects received Tc-99m TRODAT SPECT, brain computed tomography scan, and neurologic examinations. Biologic urine mercury levels at the end of a work week were assessed for workers. RESULTS: There were significant differences in specific uptake ratio (SUR) in the striatum, caudate, and putamen between mercury exposure workers and healthy controls on Tc-99m TRODAT SPECT (all P < 0.001). The results showed a significantly negative correlation between urine and cumulative mercury levels and SUR in the striatum on Tc-99m TRODAT SPECT by Pearson analysis (r = -0.501, P = 0.040; r = -0.563, P = 0.019). After adjusting for age, gender, and body mass index, cumulative mercury exposure index (Cum Hg) was demonstrated to be the statistically significant predictor for SUR in the striatum, caudate, and putamen on Tc-99m TRODAT SPECT by multiple linear regression analysis (ß = -0.543, P = 0.018; ß = -0.521, P = 0.033; ß = -0.465, P = 0.048). CONCLUSION: Mercury exposure has significantly negative effect on dopamine transporters in the striatum. There is dose-response relationship between cumulative mercury exposure index (Cum Hg) and SUR in the striatum on Tc-99m TRODAT brain SPECT.


Subject(s)
Environmental Exposure/adverse effects , Mercury/adverse effects , Neostriatum/drug effects , Neostriatum/metabolism , Organotechnetium Compounds , Tomography, Emission-Computed, Single-Photon , Tropanes , Adult , Biological Transport/drug effects , Dopamine Plasma Membrane Transport Proteins/metabolism , Dose-Response Relationship, Drug , Female , Humans , Male , Mercury/urine , Neostriatum/diagnostic imaging
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