• Korean journal of food and cookery science
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• v.26 no.6
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• pp.804-810
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• 2010

Sulforphane (SF) is a family of biologically active compound that is distributed widely in broccoli. Although studies in rodents have shown that these compounds are effective and versatile inhibitors of tumorigenesis, the role of dietary SF in protection against human cancers remains to be established. The objective of this study was to explore the quantitative relationship between the dietary intake of cruciferous vegetables and urinary excretion of SF. The effects of dietary broccoli on the body's ability to detoxify were studied in six male subjects between the ages of 22~30 years. Study included administering a glucosinolate-free diet for 8 days (control period). The broccoli diet was further subdivided into two periods; 250 g broccoli was fed per day during the first three days and 500 g broccoli was fed per day during the latter three days. After an 8-day washout period, a second experiment was conducted. The same protocol was used with the exception that uncooked broccoli was consumed. Urinary SF mercapturate was measured to determine the bioavailability of broccoli. The linear trend for mercapturate excretion was dose-dependent, resulting in 3.8- and 1.9-fold increase by the third and six days, respectively, compared to the control. Lower amount of SF-NAC conjugate was detected in cooked broccoli compared to fresh broccoli suggesting cooking may have caused a significant loss in glucosinolates in cruciferous vegetables. Therefore, SF can be used as a biomarker for intake of cruciferous vegetables.

• Proceedings of the Korea Environmental Mutagen Society Conference
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• 2004.05a
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• pp.65-65
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• 2004

• Journal of the Korean Society of Tobacco Science
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• v.31 no.1
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• pp.58-67
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• 2009

Biomarkers could be critical and useful tools for assessing the biological effects of smoking and detecting differences between potentially reduced exposure product (PREP) and conventional cigarettes. Smoking-related biomarkers can be classified into three categories as biomarkers of exposure, biomarkers of effects, and biomarkers of potential harm. When compared with the biomarkers of effects or harm, the biomarkers of exposure for chemical constituents of cigarette smoke are well established and characterized. In addition, they could offer the important information in understanding how cigarette smoke interacts with biological molecules and causes the disease to human. Therefore, we provide an overview of 6 biomarkers of exposure (Nicotine and nicotine metabolites, Carboxyhaemoglobin, NNAL (4-(methylnitrosoamino)-1-(3-pyridyl)-1-butanol) and NNAL - glucuronide, 3-Hydroxypropyl-mercapturic acid, and Monohydroxy-butenyl-mercapturic acids, and Urine mutagenicity) which were validated through extensive research and clinical experience. These reliable biomarkers could help identify the efficacy of PREP by predicting early toxicological effects and lead to improve it.

• Journal of Environmental Health Sciences
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• v.50 no.1
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• pp.25-35
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• 2024

Background: There are concerns about the health effects of various environmental pollution exposures among residents living near coal-fired power plants (CFPP). Objectives: This study attempted to compare the concentrations of heavy metals in blood and urine and those of urinary volatile organic compound (VOC) metabolites according to the residential separation distance. Methods: Participants in the study totaled 334 people who have lived for more than 10 years in areas within 10 km of a CFPP. The separation distance was analyzed in quartiles by dividing it into Q1 (88 people), Q2 (89 people), Q3 (89 people), and Q4 (68 people). We explained the purpose of this study to the participants and collected blood and urine after obtaining signatures on a participation agreement. Results: The study participants were 102 males (30.5%) and 232 females (69.5%), with an average age of 71. The average length of residence and distance were 43.8 years and 4,800 meters. The geometric mean concentrations of Pb, Cd, and Hg in blood and As and Cd in urine were respective 1.35 ㎍/dL, 1.43 ㎍/L, 3.16 ㎍/L. They were 167.88 ㎍/g for creatinine and 1.58 ㎍/g creatinine. The metabolite concentrations of VOCs were 50.67 ㎍/g creatinine in t, t-muconic acid (t, t-MA), 10.73 ㎍/g creatinine in benzyl mercapturic acid, 317.05 ㎍/g creatinine in phenylglyoxylic acid, 123.55 ㎍/g creatinine in methylhippuric acid, and 190.82 ㎍/g creatinine in mandelic acid. The concentration of Pb in the blood and Cd and t, t-MA in the urine of residents within affected area of the CFPP showed statistically significant differences among distance groups. Conclusions: The concentration of urinary VOCs metabolites, especially t, t-MA, differed according to the distance groups of residents within the affected area of CFPP (p<0.05).

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.6 no.2
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• pp.272-280
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• 1996

This study was to evaluate the associations between urinary S-Phenyl-mercapturic acid(S-PMA) as a new indicator of biological monitoring for low level of exposure to benzene and independent variables such as the air concentration of benzene in the breathing zone of workers, the years of work, and smoking. In this study the subjects were the total of 145 drawn from 53 workers who were occupationally exposed to benzene and 92 workers who were not. The results were as follows: 1. In the workplace geometric mean concentration of benzene in the breathing zone of workers was 0.31 ppm(0.02 - 3.26 ppm) for the spraying workers and 0.25 ppm(0.02 - 3.95 ppm) for the printing workers. 2. The geometric mean of uninary S-PMA for non exposed group was $8.9{\mu}g/g$ creatinine($0.6-72.3{\mu}g/g$ creatinine), 80.3% (74 workers) of the total non-exposed workers indicated less than $20{\mu}g/g$ creatinine of uninary S-PMA. The difference of uninary S-PMA by sex, age, smoking was not significant. 3. The geometric mean of urinary S-PMA for workers who were exposed to benzene was $37.2{\mu}g/g$ creatinine, and was four times higher than that of workers who were not exposed. And 79.3% (42 workers) of the total exposed workers indicated more than $20{\mu}g/g$ creatinine of urinary S-PMA. 4. Regarding the level of benzene in the air, urinary S-PMA was the highest level of $147.9{\mu}g/g$ creatinine in the workers who were exposed to air concentration of 0.5 ppm of benzene and was higher as the level in the air was increased. 5. The correlation coefficient between log urinary S-PMA and log benzene concentration in the breathing zone was 0.80, and the following linear equation was found between urinary log S-PMA and log benzene concentration in the breathing zone : log S-PMA(${\mu}g/g$ creatinine) = 0.564 log benzene in air(ppm) + 0.192 (n=53, r=0.80, p=0.000) In conclusion, the concentration of S-PMA in urine proved to be good parameter for biological monitoring benzene exposure at the workplace even at low level of benzene in air.