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The Association between Trans, Trans-Muconic Acid as a Biomarker for Benzene Exposure and the Platelet Count  

Min, Young-Sun (Department of Occupational Medicine, Soonchunhyang University Kumi Hospital)
Woo, Kuck-Hyun (Department of Occupational Medicine, Soonchunhyang University Kumi Hospital)
Kim, Jin-Seok (Department of Occupational Medicine, Soonchunhyang University Kumi Hospital)
Yoo, Jay-Young (Department of Occupational Medicine, Soonchunhyang University Kumi Hospital)
Lee, Kwan (Department of Preventive Medicine, Dongguk University College of Medicine)
Lim, Hyun-Sul (Department of Preventive Medicine, Dongguk University College of Medicine)
Kim, Heon (Department of Preventive Medicine, Chungbuk National University College of Medicine)
Publication Information
Annals of Occupational and Environmental Medicine / v.22, no.2, 2010 , pp. 95-101 More about this Journal
Abstract
Objective: Recent researches suggest that trans,trans-muconic acid (t,t-MA) would be an adequate metabolic biomarker for low-level benzene exposure. Few study have investigated the association between the t,t-MA and platelet count, and this is the primary aim of this study. Methods: From May 2004 to June 2004, 326 chemical factory workers took part in a questionnaire survey and they underwent urinary t,t-MA and CBC assessment. The questionnaire covered general aspects of health and the occupational and smoking histories. Statistical analyses of outcomes were performed using SPSS 14.0 for Windows. Results: The subjects' urinary t,t-MA concentration (geometric mean and geometric standard deviation) was 0.28 mg/g creatinine (2.62). No significant differences between different occupations among the chemical workers were found. The urinary t,t-MA concentrations in the smokers and non-smokers were 0.32 mg/g creatinine (2.44) and 0.25 mg/g creatinine (2.77) respectively, and the difference was statistically significant (p<0.05). There was no significant difference in the platelet count based on occupation and the smoking history. There was significant correlation between log(platelet) and log(t,t-MA)(r=-0.116 p=0.039). The regression equation log(platelet) = -0.002${\times}$Age + [-0.029${\times}$log(t,t-MA)] + 2.436, R2=0.032, was calculated from linear regression analysis with log(platelet) as the dependent variable. Cross-tabulation between 2 subgroups that were divided by the 90-percentile level of the t,t-MA (0.819 mg/g creatinine), and 2 subgroups that were divided by the 10-percentile level of the platelet count (175,000) was conducted. Higher distribution in subgroup with platelet count below 175,000 was demonstrated in the subgroup with a urinary t,t-MA above the 90-percentile, with an odds ratio of 3.01. Conclusions: The study may be limited by not taking into account factors such as smoking quantity and sorbic acid, which may confound urinary the t,t-MA concentration as well as medication and infection that may affect the platelet count. Yet it is meaningful that the correlation between the urinary t,t-MA concentration and the platelet count was found through linear regression analysis and the chi-square test, and further, this outcome may be used as a basis for a study to establish the acceptable limit of urinary t,t-MA in Korea.
Keywords
Benzene; Muconic acid; Platelet;
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Times Cited By KSCI : 3  (Citation Analysis)
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