Assessment of nutrient intake by gut microbiota enterotype in Japanese subjects

Japanese gut microbiota forms community clusters and shares some compositional features with Western enterotypes, although the relationship between enterotypes and habitual nutrient intake in Japanese adults remains unclear. We analyzed data from 770 community-dwelling adults. Enterotypes were assigned based on 16S rRNA gene profiles using a support vector machine model, and taxonomic annotations were updated using the SILVA 138 database. Dietary intake and nutrient intake were assessed, and differences among enterotypes were examined. Candidate nutrients and food groups potentially associated with enterotypes were prioritized using a SHapley Additive explanation (SHAP)-based interpretation of the XGBoost models and were further evaluated using linear discriminant analysis. Five enterotypes (Types A–E) were identified and exhibited insufficient dietary fiber and excessive salt intake. Types A and C showed the highest and lowest overall nutrient intake scores, respectively. Although predictive performance for nutrient intake and food-group intake was modest, linear discriminant analysis based on SHAP-prioritized features revealed distinct but partially overlapping dietary signatures among enterotypes. Correlation analyses identified associations between key bacterial taxa and enterotype-specific dietary features, which reflect complex combinations of nutrients and food groups. These findings may contribute to the development of enterotype-aware dietary strategies to promote a healthy gut microbiota.

Authors

Institutions

Publication Details

Journal
Gut Microbes Reports
Published
2026-07-30
DOI
https://doi.org/10.1080/29933935.2026.2705623
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of nutrient intake by gut microbiota enterotype in Japanese subjects

Satoaki Matoba, Tomo Tominaga, Yoichi Mihara, Machi Oda et al.
Gut Microbes Reports
Gut microbiota and health
article

Assessment of nutrient intake by gut microbiota enterotype in Japanese subjects

Satoaki Matoba, Tomo Tominaga, Yoichi Mihara, Machi Oda, Hiroaki Kitae, Tomohisa Takagi, Hiroshi Sakazume, Yuji Naito, Ryo Inoüe, Takeshi Yasuda, Kenta Ogawa, Akira Ohshima, Kazuhiko Uchiyama, Atsuo Adachi, Jin Narumoto, Katsura Mizushima, Norihiro Ouchi, Tomohide Tanaka, Tadaaki Kamitani
article en

Abstract

Japanese gut microbiota forms community clusters and shares some compositional features with Western enterotypes, although the relationship between enterotypes and habitual nutrient intake in Japanese adults remains unclear. We analyzed data from 770 community-dwelling adults. Enterotypes were assigned based on 16S rRNA gene profiles using a support vector machine model, and taxonomic annotations were updated using the SILVA 138 database. Dietary intake and nutrient intake were assessed, and differences among enterotypes were examined. Candidate nutrients and food groups potentially associated with enterotypes were prioritized using a SHapley Additive explanation (SHAP)-based interpretation of the XGBoost models and were further evaluated using linear discriminant analysis. Five enterotypes (Types A–E) were identified and exhibited insufficient dietary fiber and excessive salt intake. Types A and C showed the highest and lowest overall nutrient intake scores, respectively. Although predictive performance for nutrient intake and food-group intake was modest, linear discriminant analysis based on SHAP-prioritized features revealed distinct but partially overlapping dietary signatures among enterotypes. Correlation analyses identified associations between key bacterial taxa and enterotype-specific dietary features, which reflect complex combinations of nutrients and food groups. These findings may contribute to the development of enterotype-aware dietary strategies to promote a healthy gut microbiota.

Gut Microbes ReportsVol. 3(1)
Setsunan University (JP), Tamedia (Switzerland) (CH), Kyoto Prefectural University of Medicine (JP), Naga Municipal Hospital (JP)
Zero hunger
Openalex Percentile: Top 15%
Gut microbiota and health
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.