Evidence map›Paper›PMID 31106108›Full record

ArticleBioscience of microbiota, food and health2019

High-fat diet reduces the level of secretory immunoglobulin A coating of commensal gut microbiota.

Teresia Aluoch Muhomah, Naoki Nishino, Emiko Katsumata, Wu Haoming, Takeshi Tsuruta

Abstract read
In one paragraph

Article in Bioscience of microbiota, food and health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
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  5. Review
  6. Extraction, Characterization, and Antioxidant Activity ofMolecules (Basel, Switzerland) · 2024
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  8. Exploration of theNutrients · 2024
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  9. 3 Biotech · 2022
    Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
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  19. 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

5 authors.

Teresia Aluoch MuhomahGraduate School of Environmental and Life Science, Okayama University, 1-1-1 Tsushimanaka, Kita-ku, Okayama 700-8530, Japan.
Naoki NishinoGraduate School of Environmental and Life Science, Okayama University, 1-1-1 Tsushimanaka, Kita-ku, Okayama 700-8530, Japan.
Emiko KatsumataGraduate School of Environmental and Life Science, Okayama University, 1-1-1 Tsushimanaka, Kita-ku, Okayama 700-8530, Japan.
Wu HaomingGraduate School of Environmental and Life Science, Okayama University, 1-1-1 Tsushimanaka, Kita-ku, Okayama 700-8530, Japan.
Takeshi TsurutaGraduate School of Environmental and Life Science, Okayama University, 1-1-1 Tsushimanaka, Kita-ku, Okayama 700-8530, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excessive fat intake is associated with changes in gut microbiota composition. In the present study, we focused on the secretory immunoglobulin A (SIgA) coating of gut microbiota as a mucosal immune response affecting the gut microbiota following a high-fat diet (HFD). The level of SIgA coating of gut microbiota was evaluated in normal-fat diet (NFD)- and HFD-fed mice. HFD significantly decreased the level of SIgA coating the gut microbiota compared with NFD. Of note, substitution of HFD with NFD resulted in a complete recovery of the level of SIgA coating. These findings suggest that dietary fat influences the SIgA coating of the gut microbiota. Furthermore, we analyzed the composition of the gut microbiota and the concentration of cecal short-chain fatty acids. HFD feeding changed the gut microbiota composition at the phylum and family levels. Pearson correlation analysis between the level of SIgA coating of gut microbiota and the relative abundance of gut microbiota showed that the relative abundances of

Indexed as

commensal gut microbiotahigh-fat dietsecretory immunoglobulin A

Identifiers

PMID31106108
PMCPMC6502715

What OpenQuestion holds

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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.