Evidence map›Paper›PMID 39604394›Full record

ArticleNature communications2024

Multi-biome analysis identifies distinct gut microbial signatures and their crosstalk in ulcerative colitis and Crohn's disease.

Shintaro Akiyama, Suguru Nishijima, Yasushi Kojima, Moto Kimura, Mitsuru Ohsugi, Kohjiro Ueki, Masashi Mizokami, Masahira Hattori, Kiichiro Tsuchiya, Naomi Uemura and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
–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

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  7. Article
  8. Article
  9. Gut microbiota in health and disease.Molecular biomedicine · 2026
    Review
  10. Article
  11. Deciphering the Implications ofPathogens (Basel, Switzerland) · 2026
    Review
  12. Article
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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

13 authors.

Shintaro AkiyamaDepartment of Gastroenterology, Institute of Medicine, University of Tsukuba, Ibaraki, Japan.ORCID 0000-0003-0727-7638
Suguru Nishijima *Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany. nishijima.suguru@gmail.com.ORCID 0000-0002-8444-9272
Yasushi KojimaDepartment of Gastroenterology and Hepatology, National Center for Global Health and Medicine, Tokyo, Japan.
Moto KimuraDepartment of Clinical Research Strategic Planning Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.ORCID 0000-0003-2202-5527
Mitsuru OhsugiDepartment of Diabetes, Endocrinology and Metabolism, Center Hospital, National Center for Global Health and Medicine, Tokyo, Japan.
Kohjiro UekiDiabetes Research Center, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.
Masashi MizokamiGenome Medical Sciences Project, Research Institute, National Center for Global Health and Medicine, Chiba, Japan.ORCID 0000-0001-5269-4006
Masahira HattoriLaboratory for Microbiome Sciences, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Kiichiro TsuchiyaDepartment of Gastroenterology, Institute of Medicine, University of Tsukuba, Ibaraki, Japan.ORCID 0000-0002-1977-8707
Naomi UemuraDepartment of Gastroenterology and Hepatology, National Center for Global Health and Medicine, Kohnodai Hospital, Chiba, Japan.
Takashi KawaiDepartment of Gastroenterological Endoscopy, Tokyo Medical University, Tokyo, Japan.
Peer BorkStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-2627-833X
Naoyoshi Nagata *Department of Gastroenterological Endoscopy, Tokyo Medical University, Tokyo, Japan. nnagata_ncgm@yahoo.co.jp.ORCID 0000-0002-7255-4024

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integrative multi-kingdom interaction of the gut microbiome in ulcerative colitis (UC) and Crohn's disease (CD) remains underinvestigated. Here, we perform shotgun metagenomic sequencing of feces from patients with UC and CD, and healthy controls in the Japanese 4D cohort, profiling bacterial taxa, gene functions, and antibacterial genes, bacteriophages, and fungi. External metagenomic datasets from the US, Spain, the Netherlands, and China were analyzed to validate our multi-biome findings. We found that Enterococcus faecium and Bifidobacterium spp. were enriched in both diseases. Enriched Escherichia coli was characteristic of CD and was linked to numerous antibiotic resistance genes involved in efflux pumps and adherent-invasive Escherichia coli virulence factors. Virome changes correlated with shifts in the bacteriome, including increased abundances of phages encoding pathogenic genes. Saccharomyces paradoxus and Saccharomyces cerevisiae were enriched in UC and CD, respectively. Saccharomyces cerevisiae and Escherichia coli had negative associations with short-chain fatty acid (SCFA)-producing bacteria in CD. Multi-biome signatures and their interactions in UC and CD showed high similarities between Japan and other countries. Since bacteria, phages, and fungi formed multiple hubs of intra- or trans-kingdom networks with SCFA producers and pathobionts in UC and CD, an approach targeting the interaction network may hold therapeutic promise.

Indexed as

BacteriophagesColitis, UlcerativeCrohn DiseaseFecesGastrointestinal MicrobiomeMetagenomicsAdultBacteriaBifidobacteriumCase-Control StudiesChinaEnterococcus faeciumEscherichia coliFatty Acids, VolatileFemaleFungiFatty Acids, Volatile

Identifiers

PMID39604394
PMCPMC11603027

What OpenQuestion holds

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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.