2017
DOI: 10.1111/bph.13900
|View full text |Cite
|
Sign up to set email alerts
|

In vitro‐in silico‐based analysis of the dose‐dependent in vivo oestrogenicity of the soy phytoestrogen genistein in humans

Abstract: The present study shows how plasma concentrations of genistein and its metabolites and oestrogenic dose levels of genistein in humans can be predicted by combining in vitro oestrogenicity with PBK model-based reverse dosimetry, eliminating the need for human intervention studies.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
22
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
7
1

Relationship

2
6

Authors

Journals

citations
Cited by 21 publications
(22 citation statements)
references
References 63 publications
(210 reference statements)
0
22
0
Order By: Relevance
“…Genistein (4 ′ ,5,7-trihydroxyisoflavone; Figure 1) is a phytoestrogen found in several plants, including soybean, peanut, the roots of Subprostrate sophora, and pods of the pagoda tree Sophora japonica Linn. The beneficial effects of this compound include antioxidation, cell cycle arrest, induction of apoptosis, and inhibition of both angiogenesis and cancer metastasis [1,2]. Genistein can maintain its antioxidant activity at 70°C and pH 7.0 for over 20 days [3] and modulates multiple signaling pathways, including Nrf2, MAPK, and NF-κB [4][5][6].…”
Section: Introductionmentioning
confidence: 99%
“…Genistein (4 ′ ,5,7-trihydroxyisoflavone; Figure 1) is a phytoestrogen found in several plants, including soybean, peanut, the roots of Subprostrate sophora, and pods of the pagoda tree Sophora japonica Linn. The beneficial effects of this compound include antioxidation, cell cycle arrest, induction of apoptosis, and inhibition of both angiogenesis and cancer metastasis [1,2]. Genistein can maintain its antioxidant activity at 70°C and pH 7.0 for over 20 days [3] and modulates multiple signaling pathways, including Nrf2, MAPK, and NF-κB [4][5][6].…”
Section: Introductionmentioning
confidence: 99%
“…Berkeley Madonna 8.3.18 (Macey and Oster, UC Berkeley, CA) was used to code and numerically integrate the PBK models applying Rosenbrock's algorithm for stiff systems. Compared to other algorithms in Berkeley Madonna (BM), the Rosenbrock's algorithm serves better for stiff systems and was shown to provide adequate results in previous studies providing proofs of principle for the PBK model based reverse dosimetry …”
Section: Methodsmentioning
confidence: 99%
“…Therefore, in vitro concentration-response data must be converted to in vivo dose-responses from which a PoD may be derived in order to have any utility in human safety testing of chemicals. The term quantitative in vitro to in vivo extrapolation (QIVIVE) is used to describe efforts addressing this problem (Bale et al, 2014 ; Hartung, 2017 ) and the use of PBPK 1 modeling-based reverse dosimetry for the translation of in vitro to in vivo responses represents a significant part of the solution (Louisse et al, 2012 , 2016 ; Bessems and Geraets, 2013 ; Coecke et al, 2013 ; Strikwold et al, 2013 , 2017a , b ; Bessems et al, 2014 ; McNally and Loizou, 2015 ; Boonpawa et al, 2017 ; Li et al, 2017 ; Punt et al, 2017 ).…”
Section: Introductionmentioning
confidence: 99%
“…The latter only are altered within an optimization routine to estimate a target in vivo concentration which has the same magnitude as the measured in vitro concentration. The dose concentration which corresponds to the target in vitro concentration is considered to be a surrogate for the in vivo concentration (Louisse et al, 2012 , 2016 ; Strikwold et al, 2013 , 2017a , b ; Wambaugh et al, 2015 ; Boonpawa et al, 2017 ; Li et al, 2017 ). The interpretation of reconstructed doses and exposures derived in this way can be problematic.…”
Section: Introductionmentioning
confidence: 99%