An automated enantioselective isolation system for the study of estrogenic potencies: Study of the estrogenic activity of α‐hexachlorocyclohexane

Hashimoto, Shinichi; Yoshimoto, Takeshi; Nakao, Motoki; Omura, Hiroshi; Yamashita, Nobuyoshi; Kannan, Kurunthachalam; Giesy, John P.

doi:10.1002/jssc.200301242

Cited by 3 publications

(1 citation statement)

References 34 publications

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“…The amount of the decrease in estrogenic activity during the degradation of estrogens by the microorganism was measured by using human breast cancer cells, modified MCF-7 cells (MVLN cells). The measurement was performed by using a previously described method (10,11,16). MVLN cells were precultured for 4 to 5 days and distributed to each well of a 96-well microplate, adjusting the cell number to 15,000 cells/well.…”

Section: Chemicalsmentioning

confidence: 99%

Degradation of Estrogens by Rhodococcus zopfii and Rhodococcus equi Isolates from Activated Sludge in Wastewater Treatment Plants

Yoshimoto

Nagai

Fujimoto

et al. 2004

Appl Environ Microbiol

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181

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We have isolated four strains of Rhodococcus which specifically degrade estrogens by using enrichment culture of activated sludge from wastewater treatment plants. Strain Y 50158, identified as Rhodococcus zopfii, completely and rapidly degraded 100 mg of 17␤-estradiol, estrone, estriol, and ethinyl estradiol/liter, as demonstrated by thin-layer chromatography and gas chromatography-mass spectrometry analyses. Strains Y 50155, Y 50156, and Y 50157, identified as Rhodococcus equi, showed degradation activities comparable with that of Y 50158. Using the random amplified polymorphism DNA fingerprinting test, these three strains were confirmed to have been derived from different sources. R. zopfii Y 50158, which showed the highest activity among these four strains, revealed that the strain selectively degraded 17␤-estradiol during jar fermentation, even when glucose was used as a readily utilizable carbon source in the culture medium. Measurement of estrogenic activities with human breast cancer-derived MVLN cells showed that these four strains each degraded 100 mg of 17␤-estradiol/liter to 1/100 of the specific activity level after 24 h. It is thus suggested that these strains degrade 17␤-estradiol into substances without estrogenic activity.Natural estrogens, including 17␤-estradiol (E2), estrone (E1), and estriol (E3), are excreted in the urine of humans and cattle, most of which flows into wastewater treatment plants. As some natural estrogens are discharged into environments without processing, it is estimated that estrogen discharge is increasing in urban areas (14,15,17). Feminization of a male organism has been noted in rivers and lakes into which sewage is discharged from wastewater treatment plants, and loss of ecological balance is causing concern (7,20,21,29). Since the use of low-dosage oral contraceptive pills was approved by the Central Pharmaceutical Affairs Council in Japan in 1999, environmental loading of ethinyl estradiol (EE2), a synthetic estrogen, is expected to increase (27; T. Yoshimoto, S. Murakami, K. Hamasato, H. Omura, Y. Goda, A. Kobayashi, and S. Fujimoto, Abstr. 4th Annu. Meet. Jpn. Soc. Endocr. Disrupt. Res., p. 155, 2001).Between 1998 and 2000, the Ministry of Land, Infrastructure and Transport conducted a 3-year nationwide survey of 25 endocrine disruptors at 47 wastewater treatment plants in 13 districts of Japan (Tokyo, Sapporo, Sendai, Ibaraki, Saitama, Kawasaki, Yokohama, Nagoya, Shiga, Kyoto, Osaka, Kobe, and Fukuoka). E2, E1, and EE2 concentrations were measured in wastewater and treated wastewater flowing into wastewater treatment plants. EE2 was not detected in any sample in the treatment plants, but E1 and E2 were detected in all plants.The measurement values of E2 and E1 in wastewater influent and treated wastewater were 0.0091 to 0.094 g/liter (125 samples), Ͻ0.0002 (not detected) to 0.066 g/liter (146 samples), 0.015 to 0.077 g/liter (23 samples), and Ͻ0.0005 (not detected) to 0.063 g/liter (24 samples), respectively. The concentrations of E2 were analyzed by an enzyme...

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Section: Chemicalsmentioning

confidence: 99%

Degradation of Estrogens by Rhodococcus zopfii and Rhodococcus equi Isolates from Activated Sludge in Wastewater Treatment Plants

Yoshimoto

Nagai

Fujimoto

et al. 2004

Appl Environ Microbiol

Self Cite

181

View full text Add to dashboard Cite

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A ternary classification using machine learning methods of distinct estrogen receptor activities within a large collection of environmental chemicals

Zhang

et al. 2017

Science of The Total Environment

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Trends in Environmental Analysis

2005

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2This article discusses developments in environmental analytical chemistry that occurred in the years of 2003 and 2004. References were found by searching the Science Citation Index and Current Contents. As in our review of two years ago (A1), techniques are highlighted that represent current trends and state-of-the-art technologies in the sampling, extraction, separation, and detection of trace concentrations, low-part-perbillion and less, of organic, inorganic, and organometallic contaminants in environmental samples. New analytes of interest are also reviewed, the detections of which are made possible by recently developed analytical instruments and methods.In our review of two years ago, we discussed developments in analytical techniques published in [2001][2002] in the context of analysis trends that have occurred over the past decade in the areas of sample collection and extraction, separation and detection, and analytes of emerging environmental interest. We highlighted techniques and methods that best demonstrated the evolution of environmental analysis. In this review, we explore a narrower historical perspective. Beginning with the focus areas that were identified in our last review, we re-examine these areas and emphasize recent contributions to their development. Although there is a trend towards making measurements of environmental contaminants in the field with portable instruments, we have restricted the scope of our review to cover only laboratory-based techniques.Because all method development work starts with information learned from previous studies, we first discuss information collection strategies. In the area of sample collection and extraction, we highlight developments in semi-permeable membrane devices, solid-phase microextraction, hollow fiber, liquid-phase microextraction, and new materials for solid phase extraction. In our discussion of important separation and Carolyn Koester, 03-25-2005 3 detection techniques, we mention developments in novel chromatographic stationary phases, chiral separations, two-dimensional gas chromatography, time-of-flight mass spectrometry, and inductively coupled plasma mass spectrometry, including its use for isotope measurements, its coupling with chromatographic separations techniques, and its use with laser ablation, and nuclear magnetic resonance spectroscopy. As emerging detection techniques, we highlight accelerator mass spectrometry and high-field asymmetric waveform ion mobility spectrometry. As in our last review, we have also tabulated a list of contaminants of current concern and the analytical strategies that are used for their detection in environmental media.Because the requirements of the editors necessitate that we be selective in our review, we acknowledge that we will not be able to mention all of the noteworthy developments in the analysis of trace pollutants present in environmental matrices that have occurred since 2003. For this reason, we encourage our readers to examine the other articles published in the 2005 Application Revie...

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An automated enantioselective isolation system for the study of estrogenic potencies: Study of the estrogenic activity of α‐hexachlorocyclohexane

Cited by 3 publications

References 34 publications

Degradation of Estrogens by Rhodococcus zopfii and Rhodococcus equi Isolates from Activated Sludge in Wastewater Treatment Plants

Degradation of Estrogens by Rhodococcus zopfii and Rhodococcus equi Isolates from Activated Sludge in Wastewater Treatment Plants

A ternary classification using machine learning methods of distinct estrogen receptor activities within a large collection of environmental chemicals

Trends in Environmental Analysis

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