Evaluation of Estrogen Receptor Agonistic Activity of Medicinal Herbs Using Organization for Economic Cooperation and Development Transactivation Assay with Rat Liver S9 Fraction

2021 ◽  
Vol 24 (12) ◽  
pp. 1285-1292
Author(s):  
Hee-Seok Lee ◽  
Tae Hee Lee ◽  
Dong-Hee Lee ◽  
Beom Sik Yun ◽  
Ki Won Lee ◽  
...  
2020 ◽  
Vol 178 (2) ◽  
pp. 281-301
Author(s):  
Chad Deisenroth ◽  
Danica E DeGroot ◽  
Todd Zurlinden ◽  
Andrew Eicher ◽  
James McCord ◽  
...  

Abstract The U.S. EPA Endocrine Disruptor Screening Program utilizes data across the ToxCast/Tox21 high-throughput screening (HTS) programs to evaluate the biological effects of potential endocrine active substances. A potential limitation to the use of in vitro assay data in regulatory decision-making is the lack of coverage for xenobiotic metabolic processes. Both hepatic- and peripheral-tissue metabolism can yield metabolites that exhibit greater activity than the parent compound (bioactivation) or are inactive (bioinactivation) for a given biological target. Interpretation of biological effect data for both putative endocrine active substances, as well as other chemicals, screened in HTS assays may benefit from the addition of xenobiotic metabolic capabilities to decrease the uncertainty in predicting potential hazards to human health. The objective of this study was to develop an approach to retrofit existing HTS assays with hepatic metabolism. The Alginate Immobilization of Metabolic Enzymes (AIME) platform encapsulates hepatic S9 fractions in alginate microspheres attached to 96-well peg lids. Functional characterization across a panel of reference substrates for phase I cytochrome P450 enzymes revealed substrate depletion with expected metabolite accumulation. Performance of the AIME method in the VM7Luc estrogen receptor transactivation assay was evaluated across 15 reference chemicals and 48 test chemicals that yield metabolites previously identified as estrogen receptor active or inactive. The results demonstrate the utility of applying the AIME method for identification of false-positive and false-negative target assay effects, reprioritization of hazard based on metabolism-dependent bioactivity, and enhanced in vivo concordance with the rodent uterotrophic bioassay. Integration of the AIME metabolism method may prove useful for future biochemical and cell-based HTS applications.


2019 ◽  
Vol 32 (4) ◽  
pp. 698-707
Author(s):  
Markus Brinkmann ◽  
Bogdan Barz ◽  
Danielle Carrière ◽  
Mirna Velki ◽  
Kilian Smith ◽  
...  

Endocrinology ◽  
1978 ◽  
Vol 102 (2) ◽  
pp. 433-442 ◽  
Author(s):  
RAYMOND F. ATEN ◽  
MITCHELL J. WEINBERGER ◽  
ARNOLD J. EISENFELD
Keyword(s):  

Endocrinology ◽  
1978 ◽  
Vol 103 (5) ◽  
pp. 1629-1635 ◽  
Author(s):  
RAYMOND F. ATEN ◽  
ROBERT B. DICKSON ◽  
ARNOLD J. EISENFELD

Steroids ◽  
1975 ◽  
Vol 26 (3) ◽  
pp. 363-371 ◽  
Author(s):  
Gary C. Chamness ◽  
Mark E. Costlow ◽  
William L. McGuire
Keyword(s):  

2012 ◽  
Vol 3 (1) ◽  
pp. 21-24 ◽  
Author(s):  
Su-Hyeon Lee ◽  
Dong-Hyoung Lee ◽  
Jeong-Ae Lee ◽  
Won-Yong Lee ◽  
Bong-Chul Chung ◽  
...  

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