Evidence map›Paper›PMID 25315350›Full record

ReviewSeminars in immunopathology2015

Commensal microbiota regulates T cell fate decision in the gut.

Yukihiro Furusawa, Yuuki Obata, Koji Hase

Abstract readReview
PubMed Publisher
In one paragraph

Review in Seminars in immunopathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 4% 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

61 citing papers in PubMed, 1 synthesis or guideline pooled it, 106 citations in OpenAlex.

  1. Pooled it
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  9. Physiology of lower gastrointestinal tract.Alimentary pharmacology & therapeutics · 2024
    Review
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  11. The association between gut microbiome and growth in infants with cystic fibrosis.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2023
    Article
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1 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Yukihiro FurusawaDepartment of Biochemistry, Graduate School of Pharmaceutical Science, Keio University, Tokyo, 105-8512, Japan.
Yuuki Obata
Koji Hase
The University of Tokyo · JPChiba University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Commensal microbiota shapes the intestinal immune system by regulating T helper (TH) cell lineage differentiation. For example, Bacteroides fragilis colonization not only optimizes the systemic TH1/TH2 balance, but also can induce regulatory T (Treg) cell differentiation in the gut. In addition, segmented filamentous bacteria (SFB) facilitate the development of TH17 cells in the small intestine. The 17 strains within clusters IV, XIVa, and XVIII of Clostridiales found in human feces can also induce the differentiation and expansion of Treg cells in the colon. Thus, the regulation of TH cell differentiation by commensal bacteria is evident; however, the molecular mechanisms underlying these processes remain uncertain. Recent studies have demonstrated that bacterial components, as well as their metabolites, play a central role in regulating TH cell development. Furthermore, these metabolites can elicit changes in histone posttranslational modification to modify the expression of critical regulators of T cell fate. In this review, we discuss the mechanisms and biological significance of microbiota-dependent TH differentiation.

Indexed as

Cell DifferentiationCell LineageHumansIntestinesMicrobiotaSymbiosisT-Lymphocytes, Helper-InducerT-Lymphocyte Subsets

Identifiers

PMID25315350
OpenAlexW2047517931

What OpenQuestion holds

Textmetadata
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.