Evidence map›Paper›PMID 40467839›Full record

ArticleScientific reports2025

NIBN Japan Microbiome Database, a database for exploring the correlations between human microbiome and health.

Yi-An Chen, Hitoshi Kawashima, Jonguk Park, Attayeb Mohsen, Koji Hosomi, Takashi Nakagata, Haruka Murakami, Hinako Nanri, Motohiko Miyachi, Jun Kunisawa and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

11 authors.

Yi-An ChenArtificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan. chenyian@nibn.go.jp.
Hitoshi KawashimaMicrobial Research Center for Health and Medicine, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Jonguk ParkArtificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Attayeb MohsenArtificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Koji HosomiMicrobial Research Center for Health and Medicine, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Takashi NakagataCenter for Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Haruka MurakamiCenter for Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Hinako NanriMicrobial Research Center for Health and Medicine, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Motohiko MiyachiCenter for Clinical Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Jun KunisawaMicrobial Research Center for Health and Medicine, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Kenji MizuguchiArtificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan. kenji@protein.osaka-u.ac.jp.

Funding

Ministry of Health, Labour and Welfare 20AC5004Ministry of Health, Labour and Welfare 22AC5002
6 · The paper itself

Abstract

Recent research has highlighted the substantial impact of gut microbiome on various aspects of human health, such as obesity, inflammation, infectious diseases, and cancer. As a result, gut microbiota composition is increasingly recognized as a potential health indicator and biomarker for disease. Numerous factors, including lifestyle, diet, and physical fitness, are known to shape the composition of the human microbiome. However, a significant challenge in elucidating the relationships between these factors and the gut microbiome lies in needing a comprehensive database that integrates diverse human microbiome profiles with extensive sample metadata. To address this issue, we developed an extensive human microbiome database for healthy individuals. This initiative led to the establishment of the NIBN Japan Microbiome Database (NIBN JMD), one of the largest resources of its kind, encompassing up to 1,000 metadata points and more than 2,000 microbiome samples, including data from longitudinal studies. In this article, we describe the creation and features of NIBN JMD, detailing the data collection, processing, and database implementation. NIBN JMD is publicly accessible at https://jmd.nibn.go.jp/ .

Indexed as

Databases, FactualGastrointestinal MicrobiomeMicrobiotaHumansJapanMetadataDatabaseHealthHuman microbiomeNutrition

Identifiers

PMID40467839
PMCPMC12137908

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.