Evidence map›Paper›PMID 42549414›Full record

ArticleGut microbes reports2026

Assessment of nutrient intake by gut microbiota enterotype in Japanese subjects.

Tomohisa Takagi, Ryo Inoue, Akira Ohshima, Machi Oda, Hiroshi Sakazume, Kenta Ogawa, Tomohide Tanaka, Tomo Tominaga, Yoichi Mihara, Norihiro Ouchi and 9 more

Abstract read
In one paragraph

Article in Gut microbes reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Tomohisa TakagiMolecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.ORCID https://orcid.org/0000-0002-6119-4828
Ryo InoueLaboratory of Animal Science, Setsunan University, Osaka, Japan.ORCID https://orcid.org/0000-0002-7233-366X
Akira OhshimaDepartment of Research and Development, PreMedica Inc, Tokyo, Japan.
Machi OdaLaboratory of Animal Science, Setsunan University, Osaka, Japan.
Hiroshi SakazumeDepartment of Research and Development, PreMedica Inc, Tokyo, Japan.
Kenta OgawaDepartment of Research and Development, PreMedica Inc, Tokyo, Japan.
Tomohide TanakaDepartment of Research and Development, PreMedica Inc, Tokyo, Japan.
Tomo TominagaDepartment of Research and Development, PreMedica Inc, Tokyo, Japan.
Yoichi MiharaDepartment of Research and Development, PreMedica Inc, Tokyo, Japan.
Norihiro OuchiDepartment of Internal Medicine, Kyotango Municipal Yasaka Hospital, Kyoto, Japan.
Atsuo AdachiDepartment of Internal Medicine, Kyotango Municipal Yasaka Hospital, Kyoto, Japan.
Tadaaki KamitaniDepartment of Internal Medicine, Kyotango Municipal Yasaka Hospital, Kyoto, Japan.
Satoaki MatobaDepartment of Cardiovascular Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.ORCID https://orcid.org/0000-0002-9373-4331
Jin NarumotoDepartment of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Katsura MizushimaDepartment of Human Immunology and Nutrition Science, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Takeshi YasudaMolecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.ORCID https://orcid.org/0000-0002-7387-7511
Hiroaki KitaeMolecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.ORCID https://orcid.org/0000-0002-7103-8191
Kazuhiko UchiyamaMolecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Yuji NaitoDepartment of Human Immunology and Nutrition Science, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.ORCID https://orcid.org/0000-0001-5443-788X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

dietary patternsenterotypesGut microbiotaJapanese populationnutrient intake

Identifiers

PMID42549414
PMCPMC13432868

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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 OpenQuestion graph.