Evidence map›Paper›PMID 41909907›Full record

ArticleGut microbes reports2025

Ecologically robust gut environment associated with personalized metabolic responses in a Japanese cohort.

Chiharu Ishii, Miyuki Suzuki, Shinnosuke Murakami, Isaiah Song, Yoshiomi Soejima, Morimasa Kato, Shinji Fukuda

Abstract read
In one paragraph

Article in Gut microbes reports, 2025. 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

7 authors.

Chiharu IshiiInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan.ORCID https://orcid.org/0000-0003-2659-206X
Miyuki SuzukiShimokitazawa Hospital, Setagaya, Tokyo, Japan.
Shinnosuke MurakamiInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan.ORCID https://orcid.org/0000-0002-1101-9255
Isaiah SongInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan.ORCID https://orcid.org/0000-0001-5428-4959
Yoshiomi SoejimaROHTO Pharmaceutical Co., Ltd, Ikuno, Osaka, Japan.
Morimasa KatoYamagata Prefectural Yonezawa University of Nutrition Sciences, Yonezawa, Yamagata, Japan.
Shinji FukudaInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan.ORCID https://orcid.org/0000-0001-5161-9880

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiota produces numerous metabolites that affect host physiology. However, the effects of daily diet on human fecal metabolome profiles and their robustness are not well understood, and examinations of intra-individual stability over multiple time points are limited. Here, we investigated the robustness of the human intestinal environment through fecal metabolome and microbiome profiling in response to daily dietary fluctuations. We analyzed 176 fecal samples from 25 healthy Japanese individuals subjected to three dietary regimens, including heterogeneous and homogeneous diets. Fecal metabolome and microbiome profiles were unique to each individual. Further in-depth analyses of seven of these individuals showed that these profiles were stable despite daily dietary fluctuations in six individuals. In addition, random forest classification successfully predicted each subject's identity based on their metabolome profile. The correlation analysis also revealed that the food-metabolite and food-microbiome relationships were highly personalized. The findings from this study suggest that individual diet prior to sample collection is unlikely to influence the fecal metabolome and microbiome data to an extent that is not representative of the individual's "normal" condition, which may lower barriers to future research on the gut environment and its implications for host health.

Indexed as

dietFecal metabolomegut microbiomemachine learningmetabologenomicspersonalized intestinal environmentrobustness

Identifiers

PMID41909907
PMCPMC12940129

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Registered trials

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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.