ArticleMolecular nutrition & food research2020
Use of Physiologically Based Kinetic Modeling to Predict Rat Gut Microbial Metabolism of the Isoflavone Daidzein to S-Equol and Its Consequences for ERα Activation.
Article in Molecular nutrition & food research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 27 citations in OpenAlex.
- Gut microbe-derivedProceedings of the National Academy of Sciences of the United States of America · 2026Article
- Lactulose selectively stimulates members of the gut microbiota, as determined by multi-modal activity-based sorting.Gut microbes · 2025Article
- Human Internal Exposures of Bisphenol A and Six Data-Poor Analogs Predicted by Physiologically Based Kinetic Models with Multimodal Parametrization.Environmental science & technology · 2025Article
- Precision Dietary Intervention: Gut Microbiome and Meta-metabolome as Functional Readouts.Phenomics (Cham, Switzerland) · 2025Review
- Evaluating the prebiotic activity of arabinogalactan on the human gut microbiota using 16S rRNA gene sequencing and Raman-activated cell sorting.Microbiome research reports · 2025Article
- Flavonoids, gut microbiota, and host lipid metabolism.Engineering in life sciences · 2024Review
- In vitro-in silico study on the influence of dose, fraction bioactivated and endpoint used on the relative potency value of pyrrolizidine alkaloid N-oxides compared to parent pyrrolizidine alkaloids.Current research in toxicology · 2024Article
- Comparison of three different lactic acid bacteria-fermented proteins on RAW 264.7 osteoclast and MC3T3-E1 osteoblast differentiation.Scientific reports · 2023Article
- Next generation risk assessment of human exposure to estrogens using safe comparator compound values based on in vitro bioactivity assays.Archives of toxicology · 2023Article
- Gut Microbiota-Assisted Synthesis, Cellular Interactions and Synergistic Perspectives of Equol as a Potent Anticancer Isoflavone.Pharmaceuticals (Basel, Switzerland) · 2022Review
- Use of Physiologically Based Pharmacokinetic Modeling to Predict Human Gut Microbial Conversion of Daidzein to S-Equol.Journal of agricultural and food chemistry · 2022Article
- Physiologically based kinetic modelling predicts the in vivo relative potency of riddelliine N-oxide compared to riddelliine in rat to be dose dependent.Archives of toxicology · 2022Article
- PBK Model-Based Prediction of Intestinal Microbial and Host Metabolism of Zearalenone and Consequences for its Estrogenicity.Molecular nutrition & food research · 2021Article
- Use of Physiologically Based Kinetic Modeling to Predict Rat Gut Microbial Metabolism of the Isoflavone Daidzein to S-Equol and Its Consequences for ERα Activation.Molecular nutrition & food research · 2020Article
- AnToxicology reports · 2020Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
scopeTo predict gut microbial metabolism of xenobiotics and the resulting plasma concentrations of metabolites formed, an in vitro-in silico-based testing strategy is developed using the isoflavone daidzein and its gut microbial metabolite S-equol as model compounds. METHODS AND
resultsAnaerobic rat fecal incubations are optimized and performed to derive the apparent maximum velocities (V
conclusionThe optimized in vitro approach to quantify kinetics for gut microbial conversions, and the newly developed PBK model for rats that includes gut microbial metabolism, provide a unique tool to predict the in vivo consequences of daidzein microbial metabolism for systemic exposure of the host to daidzein and its metabolite S-equol. The predictions reveal a dominant role for daidzein in ERα-mediated estrogenicity despite the higher estrogenic potency of its microbial metabolite S-equol.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.