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1.
Eur J Endocrinol ; 170(1): 131-9, 2014 Jan.
Article in English | MEDLINE | ID: mdl-24123093

ABSTRACT

OBJECTIVE: Dioxin (polychlorinated dibenzodioxins+polychlorinated dibenzofurans) is one of the most toxic chemical substances known. Although it is suspected to cause endocrine disruption, very few epidemiological studies have been carried out on its effects on human steroid hormones. The aim of this study was to elucidate the association of dioxin exposure with steroid hormone levels in the saliva and serum of Vietnamese women. STUDY DESIGN: Two areas, namely Phu Cat (hot spot) and Kim Bang (nonexposed area), were selected for the study. The study subjects consisted of 51 and 58 women respectively. Saliva, blood, and breast milk samples were collected from the subjects in both the areas. METHODS: Cortisol, cortisone, DHEA, androstenedione, estrone, and estradiol levels in serum and saliva were determined by liquid chromatography-tandem mass spectrometry; dioxin concentrations in breast milk were measured by gas chromatography-mass spectrometry. RESULTS: Dioxin concentrations in the breast milk of women from the dioxin hot spot were three to four times higher than those in the breast milk of women from the nonexposed area. Good correlations were found between the levels of six steroid hormones in saliva and those in serum respectively. Salivary and serum cortisol and cortisone levels in women from the dioxin hot spot were significantly higher than those in women from the nonexposed area (P<0.001) and those in all the subjects were positively associated with dioxin concentrations in Vietnamese women (P<0.01). CONCLUSION: These results suggest that dioxin influences steroidogenesis in humans. Saliva samples can be used for hormone analysis and are therefore excellent specimens in epidemiological studies.


Subject(s)
Cortisone/analysis , Dioxins/analysis , Food Contamination , Hydrocortisone/analysis , Milk, Human/chemistry , Pesticide Residues/analysis , Saliva/chemistry , 2,4,5-Trichlorophenoxyacetic Acid/toxicity , 2,4-Dichlorophenoxyacetic Acid/toxicity , Adult , Agent Orange , Carcinogens, Environmental/analysis , Carcinogens, Environmental/toxicity , Cortisone/blood , Cortisone/metabolism , Defoliants, Chemical/toxicity , Dioxins/toxicity , Endocrine Disruptors/analysis , Endocrine Disruptors/toxicity , Environmental Exposure/adverse effects , Environmental Monitoring , Estradiol/analysis , Estradiol/blood , Estrone/analysis , Estrone/blood , Female , Humans , Hydrocortisone/blood , Hydrocortisone/metabolism , Pesticide Residues/toxicity , Polychlorinated Dibenzodioxins/toxicity , Up-Regulation/drug effects , Vietnam , Young Adult
2.
J Air Waste Manag Assoc ; 63(9): 1026-35, 2013 Sep.
Article in English | MEDLINE | ID: mdl-24151678

ABSTRACT

Size segregated suspended particulate matter (PM2.5 and PM2.5-10) were collected using Gent low-volume air sampler at four different receptor site-classes in Lagos Mega City, Nigeria. The particulate mass loading was quantified and the concentration was analyzed to examine the pattern and variation from one receptor site-class to another. The PM2.5/PM10 ratio varied among the site-classes with the residential and marine sites having the least and highest ratio of 0.31 +/- 0.13 and 0.49 +/- 0.17 respectively. Particulate loading was higher on weekdays than on weekends (by a factor of about 1.5) in all but the marine site-class.The mean PM2.5/PM10 ratio is 0.41 +/- 0.15, which suggests that traffic emission is not the principal source of the Particulate Matter (PM). The INAA assay of the particulates detected ten elements: As, Br, Ce, K, La, Mo, Na, Sb, Sm and Zn. Except for Br, Mo and Sb, the detected elements were more pronounced in the coarse-fractioned filter Principal Component Factor Analysis (PCFA) of the detected elements identified some common sources (traffic-related, traffic emission, sea-salt and industrial emission) for both PM fractions at the four receptor site-classes.


Subject(s)
Air Pollution/analysis , Air Pollution/statistics & numerical data , Particulate Matter/analysis , Cities , Elements , Nigeria , Principal Component Analysis
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