Evidence map›Paper›PMID 35609226›Full record

ArticleAging2022

Identification and validation of aging-related genes in COPD based on bioinformatics analysis.

Shan Zhong, Li Yang, Naijia Liu, Guangkeng Zhou, Zhangli Hu, Chengshui Chen, Yun Wang

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Identification ofInternational journal of chronic obstructive pulmonary disease · 2026
    Article
  4. Article
  5. Article
  6. Roles of SIRT3 in aging and aging-related diseases.International journal of biological sciences · 2025
    Review
  7. Article
  8. Review
  9. Observational
  10. Article
  11. Revealing lncRNA Biomarkers Related to Chronic Obstructive Pulmonary Disease Based on Bioinformatics.International journal of chronic obstructive pulmonary disease · 2022
    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 at 2 institutions in 1 country.

Shan ZhongGuangdong Key Laboratory of Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518055, P.R. China.
Li YangKey Laboratory of Interventional Pulmonology of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325015, P.R. China.
Naijia LiuGuangdong Key Laboratory of Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518055, P.R. China.
Guangkeng ZhouGuangdong Key Laboratory of Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518055, P.R. China.
Zhangli HuGuangdong Key Laboratory of Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518055, P.R. China.
Chengshui ChenKey Laboratory of Interventional Pulmonology of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325015, P.R. China.
Yun WangGuangdong Key Laboratory of Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518055, P.R. China.
Shenzhen University · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD) is a serious chronic respiratory disorder. One of the major risk factors for COPD progression is aging. Therefore, we investigated aging-related genes in COPD using bioinformatic analyses. Firstly, the Aging Atlas database containing 500 aging-related genes and the Gene Expression Omnibus database (GSE38974) were utilized to screen candidates. A total of 24 candidate genes were identified related to both COPD and aging. Using gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses, we found that this list of 24 genes was enriched in genes associated with cytokine activity, cell apoptosis, NF-κB and IL-17 signaling. Four of these genes (

Indexed as

AgingMicroRNAsPulmonary Disease, Chronic ObstructiveBasic Helix-Loop-Helix Leucine Zipper Transcription FactorsComputational BiologyCyclin-Dependent Kinase Inhibitor p21Disease ProgressionForced Expiratory VolumeHumansHypoxia-Inducible Factor 1, alpha SubunitRepressor ProteinsSuperoxide DismutaseSuperoxide Dismutase 2Vital CapacityBasic Helix-Loop-Helix Leucine Zipper Transcription FactorsCDKN1A protein, humanCyclin-Dependent Kinase Inhibitor p21HIF1A protein, humanHypoxia-Inducible Factor 1, alpha SubunitMicroRNAsMIRN519 microRNA, humanMXD1 protein, humanRepressor ProteinsSuperoxide DismutaseSuperoxide Dismutase 2agingbioinformatics analysisbiomarkerCOPD

Identifiers

PMID35609226
PMCPMC9186770
OpenAlexW4281401089

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.