Evidence map›Paper›PMID 37953509›Full record

ArticleGut microbes2023

GlcNac produced by the gut microbiome enhances host influenza resistance by modulating NK cells.

Xiaotong Hu, Xiaolu Sun, Ya Zhao, Changjie Iv, Xiaomei Sun, Meilin Jin, Qiang Zhang

Open access · goldAbstract read
In one paragraph

Article in Gut microbes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  12. Nutrients · 2024
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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

7 authors at 1 institution in 1 country.

Xiaotong HuState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Xiaolu SunState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Ya ZhaoState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Changjie IvState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Xiaomei SunState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Meilin JinState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Qiang ZhangState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Huazhong Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbiota are known to modulate the host response to influenza infection, but the mechanisms remain largely unknown. Gut metabolites are the key mediators through which gut microbes play anti-influenza effect. Transferring fecal metabolites from mice with high influenza resistance into antibiotic-treated recipient mice conferred resistance to influenza infections. By comparing the metabolites of different individuals with high or low influenza resistance, we identified and validated N-acetyl-D-glucosamine (GlcNAc) and adenosine showed strong positive correlations with influenza resistance and exerted anti-influenza effects in vivo or in vitro, respectively. Especially, GlcNAc mediated the anti-influenza effect by increasing the proportion and activity of NK cells. Several gut microbes, including

Indexed as

Gastrointestinal MicrobiomeInfluenza, HumanMicrobiotaAnimalsFecesHumansKiller Cells, NaturalMicegut microbiomeheterogeneityInfluenzainfluenza virus resistanceN-acetyl-D-glucosamineprognosis predictor

Identifiers

PMID37953509
PMCPMC10730189
OpenAlexW4388637022

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.