Improving the predictivity of human maximum plasma concentrations for soybean isoflavones and glucosides using an improved culture method of human induced pluripotent stem cell–derived small intestinal epithelial cells

Accurately predicting human exposure to food-related compounds is crucial for evaluating their health effects without conducting animal testing. We previously reported an in vitro method using human induced pluripotent stem cell-derived small intestinal epithelial cells (hiSIECs) for predicting human maximum plasma concentrations (C<sub>max</sub>) of food-related compounds. However, the C<sub>max</sub> predictivity of flavonoids and their glycosides is relatively low, potentially due to complex gastrointestinal absorption processes. This study aimed to assess whether hiSIECs cultured using with a modified culture method (mod-hiSIECs) can mimic human intestinal absorption and enhance C<sub>max</sub> predictivity. Consistent with observations in the human intestine, the mod-hiSIECs formed a column-like morphology. The expression levels of key saccharide-related genes, such as sucrase-isomaltase, lactase, and cytosolic β-glucosidase, and disaccharidase and glycosidase activities similar to those of human primary enterocytes were obtained using mod-hiSIECs when compared with hiSIECs cultured using the conventional hiSIEC culture method and Caco-2 cells. In addition, the mod-hiSIECs accurately mimicked the intestinal glucosidase, glucuronidase, and sulfatase activities against daidzein, genistein, and their corresponding glucosides. The C<sub>max</sub> predictability for flavonoid aglycones and their glucosides was significantly improved with mod-hiSIECs compared with conventional hiSIEC culture method, reducing the fold-difference from 2.3-9.0 to 0.46-5.5. The mod-hiSIECs could be a useful tool for predicting gastrointestinal absorption of flavonoids in humans. SIGNIFICANT STATEMENT: Human induced pluripotent stem cell-derived small intestinal epithelial cells via a modified method, exhibited gene expression and metabolic profiles akin to primary enterocytes, and their permeability data predicted human plasma concentrations of isoflavones and glucosides more accurately than Caco-2 cells or conventional human induced pluripotent stem cell-derived small intestinal epithelial cells.

Authors

Institutions

Publication Details

Journal
Drug Metabolism and Disposition
Published
2025-12-30
DOI
https://doi.org/10.1016/j.dmd.2025.100231
Primary Topic
Phytoestrogen effects and research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving the predictivity of human maximum plasma concentrations for soybean isoflavones and glucosides using an improved culture method of human induced pluripotent stem cell–derived small intestinal epithelial cells

Takahiro Iwao, Kazuhiro Kobayashi, Takashi Kitaguchi, Takahiro Matsuda et al.
Drug Metabolism and Disposition
Phytoestrogen effects and research
article

Improving the predictivity of human maximum plasma concentrations for soybean isoflavones and glucosides using an improved culture method of human induced pluripotent stem cell–derived small intestinal epithelial cells

Takahiro Iwao, Kazuhiro Kobayashi, Takashi Kitaguchi, Takahiro Matsuda, T Matsunaga, Katsutoshi Ohno, Kotaro Shirai, Isamu Ogawa
article en

Abstract

Accurately predicting human exposure to food-related compounds is crucial for evaluating their health effects without conducting animal testing. We previously reported an in vitro method using human induced pluripotent stem cell-derived small intestinal epithelial cells (hiSIECs) for predicting human maximum plasma concentrations (C<sub>max</sub>) of food-related compounds. However, the C<sub>max</sub> predictivity of flavonoids and their glycosides is relatively low, potentially due to complex gastrointestinal absorption processes. This study aimed to assess whether hiSIECs cultured using with a modified culture method (mod-hiSIECs) can mimic human intestinal absorption and enhance C<sub>max</sub> predictivity. Consistent with observations in the human intestine, the mod-hiSIECs formed a column-like morphology. The expression levels of key saccharide-related genes, such as sucrase-isomaltase, lactase, and cytosolic β-glucosidase, and disaccharidase and glycosidase activities similar to those of human primary enterocytes were obtained using mod-hiSIECs when compared with hiSIECs cultured using the conventional hiSIEC culture method and Caco-2 cells. In addition, the mod-hiSIECs accurately mimicked the intestinal glucosidase, glucuronidase, and sulfatase activities against daidzein, genistein, and their corresponding glucosides. The C<sub>max</sub> predictability for flavonoid aglycones and their glucosides was significantly improved with mod-hiSIECs compared with conventional hiSIEC culture method, reducing the fold-difference from 2.3-9.0 to 0.46-5.5. The mod-hiSIECs could be a useful tool for predicting gastrointestinal absorption of flavonoids in humans. SIGNIFICANT STATEMENT: Human induced pluripotent stem cell-derived small intestinal epithelial cells via a modified method, exhibited gene expression and metabolic profiles akin to primary enterocytes, and their permeability data predicted human plasma concentrations of isoflavones and glucosides more accurately than Caco-2 cells or conventional human induced pluripotent stem cell-derived small intestinal epithelial cells.

Drug Metabolism and DispositionVol. 54(2)
Nagoya City University (JP), Food and Drug Safety Center (JP), Nissin Kogyo (Japan) (JP)
Zero hunger
Openalex Percentile: Top 29%
Phytoestrogen effects and research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.