Evidence map›Paper›PMID 38059138›Full record

ArticleWorld journal of otorhinolaryngology - head and neck surgery2023

Comprehensive analysis reveals hub genes associated with immune cell infiltration in allergic rhinitis.

Hui Li, Shi-En Huang, Cong-Li Geng, Yu-Xiao Wu, Mu-Han Shi, Min Wang

Open access · goldAbstract read
In one paragraph

Article in World journal of otorhinolaryngology - head and neck surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 1 institution in 1 country.

Hui LiDepartment of Otorhinolaryngology Peking University People's Hospital Beijing China.ORCID https://orcid.org/0000-0003-2812-2854
Shi-En HuangDepartment of Otorhinolaryngology Peking University People's Hospital Beijing China.
Cong-Li GengDepartment of Otorhinolaryngology Peking University People's Hospital Beijing China.
Yu-Xiao WuDepartment of Otorhinolaryngology Peking University People's Hospital Beijing China.
Mu-Han ShiDepartment of Otorhinolaryngology Peking University People's Hospital Beijing China.
Min WangDepartment of Otorhinolaryngology Peking University People's Hospital Beijing China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Allergic rhinitis (AR) refers to a form of respiratory inflammation that mainly affects the sinonasal mucosa. The purpose of this study was to explore the level of immune cell infiltration and the pathogenesis of AR. Methods: We performed a comprehensive analysis of two gene expression profiles (GSE50223 and GSE50101, a total of 30 patients with AR and 31 healthy controls). CIBERSORT was used to evaluate the immune cell infiltration levels. Weighted gene coexpression network analysis was applied to explore potential genes or gene modules related to immune status, and enrichment analyses including gene ontology, Kyoto Encyclopedia of Genes and Genomes, gene set enrichment analysis, and gene set variation analysis, were performed to analyze the potential mechanisms in AR. A protein-protein interaction network was constructed to investigate the hub genes, and consensus clustering was conducted to identify the molecular subtypes of AR. Results: Compared to the healthy controls, patients with AR had high abundance levels and proportions of CD4 Conclusion: This study improves our understanding of the molecular mechanisms in AR via comprehensive strategies and provides potential diagnostic biomarkers and therapeutic targets of AR.

Indexed as

allergic rhinitisCIBERSORTconsensus clusterGSEAGSVAimmune cell infiltrationWGCNA

Identifiers

PMID38059138
PMCPMC10696276
OpenAlexW4321599164

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.