Evidence map›Paper›PMID 33313490›Full record

ArticleiScience2020

Elucidation of Gut Microbiota-Associated Lipids Using LC-MS/MS and 16S rRNA Sequence Analyses.

Shu Yasuda, Nobuyuki Okahashi, Hiroshi Tsugawa, Yusuke Ogata, Kazutaka Ikeda, Wataru Suda, Hiroyuki Arai, Masahira Hattori, Makoto Arita

Open access · goldAbstract read
In one paragraph

Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

32 citing papers in PubMed, 67 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Metabolites · 2025
    Article
  8. Article
  9. The Role ofMolecules (Basel, Switzerland) · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Gut microbes · 2023
    Article
  18. Article
  19. Article
  20. 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

9 authors at 6 institutions in 1 country.

Shu YasudaRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Nobuyuki OkahashiRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Hiroshi TsugawaRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Yusuke OgataRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Kazutaka IkedaRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Wataru SudaRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Hiroyuki AraiDepartment of Health Chemistry, Graduate School of Pharmaceutical Sciences, University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Masahira HattoriRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Makoto AritaRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
RIKEN Center for Integrative Medical Sciences · JPKazusa DNA Research Institute · JPKeio University · JPRIKEN Center for Sustainable Resource Science · JPThe University of Tokyo · JPWaseda University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Host-microbiota interactions create a unique metabolic milieu that modulates intestinal environments. Integration of 16S ribosomal RNA (rRNA) sequences and mass spectrometry (MS)-based lipidomics has a great potential to reveal the relationship between bacterial composition and the complex metabolic network in the gut. In this study, we conducted untargeted lipidomics followed by a feature-based molecular MS/MS spectral networking to characterize gut bacteria-dependent lipid subclasses in mice. An estimated 24.8% of lipid molecules in feces were microbiota-dependent, as judged by > 10-fold decrease in antibiotic-treated mice. Among these, there was a series of unique and microbiota-related lipid structures, including acyl alpha-hydroxyl fatty acid (AAHFA) that was newly identified in this study

Indexed as

LipidomicsMicrobiomeOmics

Identifiers

PMID33313490
PMCPMC7721639
OpenAlexW3108619731

What Socratic 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 Socratic graph.