Evidence map›Paper›PMID 36316749›Full record

ReviewInflammation and regeneration2022

Characterization of the human gut virome in metabolic and autoimmune diseases.

Kosuke Fujimoto, Daichi Miyaoka, Satoshi Uematsu

Open access · goldAbstract readReview
In one paragraph

Review in Inflammation and regeneration, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

19 citing papers in PubMed, 23 citations in OpenAlex.

  1. Synergistic Anti-Obesity Effect ofFood science & nutrition · 2026
    Article
  2. Gut Microbiota and Metabolic Health: From Dysbiosis to Therapeutics.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
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

3 authors at 1 institution in 1 country.

Kosuke Fujimoto *Department of Immunology and Genomics, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
Daichi Miyaoka *Department of Immunology and Genomics, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
Satoshi UematsuDepartment of Immunology and Genomics, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan. uematsu.satoshi@omu.ac.jp.
Osaka Metropolitan University

Funding

Japan Agency for Medical Research and Development 21ae0121048h0001Japan Agency for Medical Research and Development 21fk0108619h0001
6 · The paper itself

Abstract

The intestinal microbiome is dominated by bacteria and plays a pivotal role in the occurrence and development of disease, including several metabolic and autoimmune disorders. While intestinal viral communities, primarily made up of bacteriophages, are also thought to play a role in disease pathogenesis in the gastrointestinal tract, they have received much less attention than intestinal bacteria. Thus, there is limited information about the relationship between bacteriophages and disease. This review explores a potential role for the intestinal viral microbiome in various metabolic and autoimmune diseases.

Indexed as

Autoimmune diseasesBacteriomeBacteriophageDysbiosisMetabolic diseasesMicrobiomePathobiontVirome

Identifiers

PMID36316749
PMCPMC9623931
OpenAlexW4307739486

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.