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Use of Physiologically Based Pharmacokinetic Modeling to Predict Human Gut Microbial Conversion of Daidzein to S-Equol.


ABSTRACT: A physiologically based pharmacokinetic (PBPK) model was developed for daidzein and its metabolite S-equol. Anaerobic in vitro incubations of pooled fecal samples from S-equol producers and nonproducers allowed definition of the kinetic constants. PBPK model-based predictions for the maximum daidzein plasma concentration (Cmax) were comparable to literature data. The predictions also revealed that the Cmax of S-equol in producers was only up to 0.22% that of daidzein, indicating that despite its higher estrogenicity, S-equol is likely to contribute to the overall estrogenicity upon human daidzein exposure to a only limited extent. An interspecies comparison between humans and rats revealed that the catalytic efficiency for S-equol formation in rats was 210-fold higher than that of human S-equol producers. The described in vitro-in silico strategy provides a proof-of-principle on how to include microbial metabolism in humans in PBPK modeling as part of the development of new approach methodologies (NAMs).

SUBMITTER: Wang Q 

PROVIDER: S-EPMC8759082 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

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Use of Physiologically Based Pharmacokinetic Modeling to Predict Human Gut Microbial Conversion of Daidzein to S-Equol.

Wang Qianrui Q   Spenkelink Bert B   Boonpawa Rungnapa R   Rietjens Ivonne M C M IMCM  

Journal of agricultural and food chemistry 20211202 1


A physiologically based pharmacokinetic (PBPK) model was developed for daidzein and its metabolite S-equol. Anaerobic in vitro incubations of pooled fecal samples from S-equol producers and nonproducers allowed definition of the kinetic constants. PBPK model-based predictions for the maximum daidzein plasma concentration (<i>C</i><sub>max</sub>) were comparable to literature data. The predictions also revealed that the <i>C</i><sub>max</sub> of S-equol in producers was only up to 0.22% that of d  ...[more]

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