Evidence map›Paper›PMID 34250093›Full record

ArticleBioMed research international2021

Identification of Macrophage Polarization-Related Genes as Biomarkers of Chronic Obstructive Pulmonary Disease Based on Bioinformatics Analyses.

Yalin Zhao, Meihua Li, Yanxia Yang, Tao Wu, Qingyuan Huang, Qinghua Wu, Chaofeng Ren

Abstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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.

Yalin ZhaoRespiratory and Critical Care Medicine, Kunming First People's Hospital, Kunming, Yunnan Province, China.ORCID https://orcid.org/0000-0002-8200-6793
Meihua LiRespiratory and Critical Care Medicine, Kunming First People's Hospital, Kunming, Yunnan Province, China.
Yanxia YangRespiratory and Critical Care Medicine, Kunming First People's Hospital, Kunming, Yunnan Province, China.
Tao WuRespiratory and Critical Care Medicine, Kunming First People's Hospital, Kunming, Yunnan Province, China.
Qingyuan HuangRespiratory and Critical Care Medicine, Kunming First People's Hospital, Kunming, Yunnan Province, China.
Qinghua WuRespiratory and Critical Care Medicine, Kunming First People's Hospital, Kunming, Yunnan Province, China.
Chaofeng RenRespiratory and Critical Care Medicine, Kunming First People's Hospital, Kunming, Yunnan Province, China.ORCID https://orcid.org/0000-0001-6878-9253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesChronic obstructive pulmonary disease (COPD) is characterized by lung inflammation and remodeling. Macrophage polarization is associated with inflammation and tissue remodeling, as well as immunity. Therefore, this study attempts to investigate the diagnostic value and regulatory mechanism of macrophage polarization-related genes for COPD by bioinformatics analysis and to provide a new theoretical basis for experimental research.

methodsThe raw gene expression profile dataset (GSE124180) was collected from the Gene Expression Omnibus (GEO) database. Next, a weighted gene coexpression network analysis (WGCNA) was conducted to screen macrophage polarization-related genes. The differentially expressed genes (DEGs) between the COPD and normal samples were generated using DESeq2 v3.11 and overlapped with the macrophage polarization-related genes. Moreover, functional annotations of overlapped genes were conducted by Database for Annotation, Visualization and Integrated Discovery (DAVID) Bioinformatics Resource. The immune-related genes were selected, and their correlation with the differential immune cells was analyzed by Pearson. Finally, receiver operating characteristic (ROC) curves were used to verify the diagnostic value of genes.

resultsA total of 4922 coexpressed genes related to macrophage polarization were overlapped with the 203 DEGs between the COPD and normal samples, obtaining 25 genes related to COPD and macrophage polarization.

conclusionsThe data provide a transcriptome-based evidence that

Indexed as

AlgorithmsBiomarkersComputational BiologyDisease ProgressionGene Expression ProfilingGranzymesHumansImmune SystemMacrophagesMonomeric GTP-Binding ProteinsProtein Interaction MappingPulmonary Disease, Chronic ObstructiveReceptors, Antigen, B-CellROC CurveS100 Calcium Binding Protein beta SubunitSignal TransductionBiomarkersGEM protein, humanGranzymesGZMA protein, humanMonomeric GTP-Binding ProteinsReceptors, Antigen, B-CellS100B protein, humanS100 Calcium Binding Protein beta Subunit

Identifiers

PMID34250093
PMCPMC8238569

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.