Evidence map›Paper›PMID 37122736›Full record

ArticleFrontiers in immunology2023

Identification and validation of chemokine system-related genes in idiopathic pulmonary fibrosis.

Tianming Zhao, Xu Wu, Xuelei Zhao, Kecheng Yao, Xiaojuan Li, Jixiang Ni

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Recent advances in biomarkers for cardiac fibrosis.Frontiers in cardiovascular medicine · 2026
    Review
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  7. 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

6 authors at 2 institutions in 1 country.

Tianming ZhaoDepartment of Respiratory and Critical Care Medicine, The People's Hospital of China Three Gorges University, The First People's Hospital of Yichang, Yichang, China.
Xu WuDepartment of Respiratory and Critical Care Medicine, The People's Hospital of China Three Gorges University, The First People's Hospital of Yichang, Yichang, China.
Xuelei ZhaoDepartment of Gastroenterology, The People's Hospital of China Three Gorges University, The First People's Hospital of Yichang, Yichang, China.
Kecheng YaoDepartment of Geriatrics, The People's Hospital of China Three Gorges University, The First People's Hospital of Yichang, Yichang, China.
Xiaojuan LiDepartment of Respiratory and Critical Care Medicine, The People's Hospital of China Three Gorges University, The First People's Hospital of Yichang, Yichang, China.
Jixiang NiDepartment of Respiratory and Critical Care Medicine, The People's Hospital of China Three Gorges University, The First People's Hospital of Yichang, Yichang, China.
China Three Gorges University · CNYichang Central People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Idiopathic pulmonary fibrosis (IPF) is a chronic progressive interstitial lung disease with limited therapeutic options. Recent studies have demonstrated that chemokines play a vital role in IPF pathogenesis. In the present study, we explored whether the gene signature associated with chemokines could be used as a reliable biological marker for patients with IPF. Methods: Chemokine-related differentially expressed genes (CR-DEGs) in IPF and control lung tissue samples were identified using data from the Gene Expression Omnibus database. A chemokine-related signature of the diagnostic model was established using the LASSO-Cox regression. In addition, unsupervised cluster analysis was conducted using consensus-clustering algorithms. The CIBERSORT algorithm was used to calculate immune cell infiltration across patient subgroups. Finally, we established a mouse model of bleomycin-induced pulmonary fibrosis and a model of fibroblasts treated with TGFβ1. Expression levels of chemokine-related signature genes were determined using real-time quantitative polymerase chain reaction (RT-qPCR). Results: We established a chemokine-related eleven-gene signature of a diagnostic model consisting of CXCL2, CCRL2, ARRB1, XCL1, GRK5, PPBP, CCL19, CCL13, CCL11, CXCL6, and CXCL13, which could easily distinguish between IPF patients and controls. Additionally, we identified two subtypes of IPF samples based on chemokine-related gene expression. Pulmonary function parameters and stromal scores were significantly higher in subtype 1 than in subtype 2. Several immune cell types, especially plasma cells and macrophages, differ significantly between the two subtypes. RT-qPCR results showed that the expression levels of Conclusions: A novel chemokine-related eleven-signature of diagnostic model was developed. These genes are potential biomarkers of IPF and may play essential roles in its pathogenesis.

Indexed as

Idiopathic Pulmonary FibrosisAnimalsBiomarkersBleomycinChemokinesLungMiceReceptors, CCRBiomarkersBleomycinCcrl2 protein, mouseChemokinesReceptors, CCRbiomarkerchemokinegene signatureidiopathic pulmonary fibrosisimmune infiltration

Identifiers

PMID37122736
PMCPMC10140527
OpenAlexW4365515780

What OpenQuestion holds

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LicenceCC BY
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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.