Evidence map›Paper›PMID 35018096›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2022

Identification of the Key Immune-Related Genes in Chronic Obstructive Pulmonary Disease Based on Immune Infiltration Analysis.

Hongqiong Meng, Qionghua Long, Ruiping Wang, Xian Zhou, Huipeng Su, Tingting Wang, Ya Li

Abstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Clinical value of CD3American journal of translational research · 2024
    Article
  9. Does Chronic Obstructive Pulmonary Disease Originate from Different Cell Types?American journal of respiratory cell and molecular biology · 2023
    Article
  10. 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.

Hongqiong MengDepartment of General Medicine, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, People's Republic of China.
Qionghua LongDepartment of General Medicine, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, People's Republic of China.
Ruiping WangDepartment of General Medicine, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, People's Republic of China.
Xian ZhouDepartment of General Medicine, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, People's Republic of China.
Huipeng SuDepartment of General Medicine, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, People's Republic of China.
Tingting WangDepartment of General Medicine, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, People's Republic of China.
Ya LiDepartment of Respiratory and Critical Care Medicine, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Chronic obstructive pulmonary disease (COPD) is a major cause of death and morbidity worldwide. A better understanding of new biomarkers for COPD patients and their complex mechanisms in the progression of COPD are needed. Methods: An algorithm was conducted to reveal the proportions of 22 subsets of immune cells in COPD samples. Differentially expressed immune-related genes (DE-IRGs) were obtained based on the differentially expressed genes (DEGs) of the GSE57148 dataset, and 1509 immune-related genes (IRGs) were downloaded from the ImmPort database. Functional enrichment analyses of DE-IRGs were conducted by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses and Ingenuity Pathway Analysis (IPA). We defined the DE-IRGs that had correlations with immune cells as hub genes. The potential interactions among the hub genes were explored by a protein-protein interaction (PPI) network. Results: The CIBERSORT results showed that lung tissue of COPD patients contained a greater number of resting NK cells, activated dendritic cells, and neutrophils than normal samples. However, the fractions of follicular helper T cells and resting dendritic cells were relatively lower. Thirty-eight DE-IRGs were obtained for further analysis. Functional enrichment analysis revealed that these DE-IRGs were significantly enriched in several immune-related biological processes and pathways. Notably, we also observed that DE-IRGs were associated with the coronavirus disease COVID-19 in the progression of COPD. After correlation analysis, six DE-IRGs associated with immune cells were considered hub genes, including AHNAK, SLIT2 TNFRRSF10C, CXCR1, CXCR2, and FCGR3B. Conclusion: In the present study, we investigated immune-related genes as novel diagnostic biomarkers and explored the potential mechanism for COPD based on CIBERSORT analysis, providing a new understanding for COPD treatment.

Indexed as

COVID-19Pulmonary Disease, Chronic ObstructiveGene OntologyHumansProtein Interaction MapsSARS-CoV-2chronic obstructive pulmonary diseaseCIBERSORTCOPDdiagnosisimmune-related genesIRGs

Identifiers

PMID35018096
PMCPMC8742581

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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.