Evidence map›Paper›PMID 38235358›Full record

ArticleComputational and structural biotechnology journal2024

Metagenomic shotgun sequencing reveals the enrichment of

Hui-Ying Huang, Fei-Ran Li, Yi-Fan Zhang, Hui-Ching Lau, Chi-Yao Hsueh, Liang Zhou, Ming Zhang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Hui-Ying HuangDepartment of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.
Fei-Ran LiDepartment of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.
Yi-Fan ZhangDepartment of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.
Hui-Ching LauDepartment of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.
Chi-Yao HsuehDepartment of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.
Liang ZhouDepartment of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.
Ming ZhangDepartment of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.
Eye & ENT Hospital of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The exposure of ethanol increases the risk of head and neck inflammation and tumor progression. However, limited studies have investigated the composition and functionality of laryngeal microbiota under ethanol exposure. We established an ethanol-exposed mouse model to investigate the changes in composition and function of laryngeal microbiota using Metagenomic shotgun sequencing. In the middle and late stages of the experiment, the laryngeal microbiota of mice exposed to ethanol exhibited obvious distinguished from that of the control group on principal-coordinate analysis (PCoA) plots. Among the highly abundant species, Importance: Ethanol may participate in the inflammation and tumor progression by affecting the composition of the laryngeal microbiota. Here, we applied the metagenomic shotgun sequencing instead of 16 S rRNA sequencing method to identify the laryngeal microbiota under ethanol exposure.

Indexed as

AlcoholEthanolFunctionGeneMetagenomic sequencingMicrobiotaMicroenvironment

Identifiers

PMID38235358
PMCPMC10792199
OpenAlexW4390169008

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.