Evidence map›Paper›PMID 37337515›Full record

ArticleJournal of inflammation research2023

Neutrophil-Related Gene Expression Signatures in Idiopathic Pulmonary Fibrosis: Implications for Disease Characteristic and Identification of Diagnostic Hub Genes.

Yingying Lin, Xiaofan Lai, Tianxiang Lei, Yuan Qiu, Qiwen Deng, Qi Liu, Zhongxing Wang, Wenqi Huang

Open access · goldAbstract read
In one paragraph

Article in Journal of inflammation research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Yingying Lin *Department of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Xiaofan Lai *Department of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Tianxiang Lei *Department of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Yuan QiuCenter for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou, People's Republic of China.
Qiwen DengDepartment of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Qi LiuDepartment of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Zhongxing WangDepartment of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.ORCID 0000-0003-4490-6202
Wenqi HuangDepartment of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Idiopathic pulmonary fibrosis (IPF) is a disease with unclear etiology and a poor prognosis. Although the involvement of neutrophils in IPF pathogenesis has been suggested, the exact nature of this relationship remains unclear. Methods: We analyzed data from the Gene Expression Omnibus (GEO) using immune infiltration analysis, weighted gene co-expression network analysis (WGCNA), and consensus cluster analysis. Neutrophil-related genes and hub genes related to neutrophils were identified and differentially expressed between IPF patients and healthy controls. We also validated the expression differences of hub genes in a bleomycin-induced mice model. Results: Immune infiltration analysis revealed a significantly decreased percentage of neutrophils in the lung tissue of IPF patients compared with healthy controls (P<0.001) in both the train and validation sets. Neutrophil-related genes in IPF were identified by WGCNA, and functional enrichment analysis showed that these genes were mainly involved in the cytokine-cytokine receptor interaction pathway and correlated with lung disease, consistent with DEGs between IPF and healthy controls. Eight hub genes related to neutrophils were identified, including Conclusion: Our findings provide evidence of a low neutrophil-infiltrating characteristic in the IPF microenvironment and identify hub genes related to neutrophils that may serve as diagnostic biomarkers for the disease.

Indexed as

biomarkersconsensus cluster analysisdiagnostic modelidiopathic pulmonary fibrosisimmune infiltration analysisneutrophilsweighted gene co-expression network analysis

Identifiers

PMID37337515
PMCPMC10277023
OpenAlexW4380538272

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.