Evidence map›Paper›PMID 33816621›Full record

ArticleBioMed research international2021

Screening of Hub Genes Associated with Pulmonary Arterial Hypertension by Integrated Bioinformatic Analysis.

Yu Zeng, Nanhong Li, Zhenzhen Zheng, Riken Chen, Min Peng, Wang Liu, Jinru Zhu, Mingqing Zeng, Junfen Cheng, Cheng Hong

Open access · hybridAbstract 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 10% 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, 19 citations in OpenAlex.

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  7. In silico Methods for Identification of Potential Therapeutic Targets.Interdisciplinary sciences, computational life sciences · 2022
    Review
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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

10 authors at 2 institutions in 1 country.

Yu ZengDepartment of Respiration, The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Nanhong LiInstitute of Nephrology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Zhenzhen ZhengDepartment of Respiration, The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Riken ChenChina State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Min PengDepartment of Respiration, The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Wang LiuDepartment of Respiration, The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Jinru ZhuDepartment of Respiration, The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Mingqing ZengFirst Clinical School of Medicine, Guangdong Medical University, Zhanjiang, Guangdong, China.
Junfen ChengDepartment of Respiration, The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.ORCID https://orcid.org/0000-0003-3130-7948
Cheng HongChina State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-0710-8757
Guangdong Medical College · CNFirst Affiliated Hospital of Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary arterial hypertension (PAH) is a disease or pathophysiological syndrome which has a low survival rate with abnormally elevated pulmonary artery pressure caused by known or unknown reasons. In addition, the pathogenesis of PAH is not fully understood. Therefore, it has become an urgent matter to search for clinical molecular markers of PAH, study the pathogenesis of PAH, and contribute to the development of new science-based PAH diagnosis and targeted treatment methods.

methodsIn this study, the Gene Expression Omnibus (GEO) database was used to downloaded a microarray dataset about PAH, and the differentially expressed genes (DEGs) between PAH and normal control were screened out. Moreover, we performed the functional enrichment analyses and protein-protein interaction (PPI) network analyses of the DEGs. In addition, the prediction of miRNA and transcriptional factor (TF) of hub genes and construction miRNA-TF-hub gene network were performed. Besides, the ROC curve was used to evaluate the diagnostic value of hub genes. Finally, the potential drug targets for the 5 identified hub genes were screened out.

results69 DEGs were identified between PAH samples and normal samples. GO and KEGG pathway analyses revealed that these DEGs were mostly enriched in the inflammatory response and cytokine-cytokine receptor interaction, respectively. The miRNA-hub genes network was conducted subsequently with 131 miRNAs, 7 TFs, and 5 hub genes (CCL5, CXCL12, VCAM1, CXCR1, and SPP1) which screened out via constructing the PPI network. 17 drugs interacted with 5 hub genes were identified.

conclusionsThrough bioinformatic analysis of microarray data sets, 5 hub genes (CCL5, CXCL12, VCAM1, CXCR1, and SPP1) were identified from DEGs between control samples and PAH samples. Studies showed that the five hub genes might play an important role in the development of PAH. These 5 hub genes might be potential biomarkers for diagnosis or targets for the treatment of PAH. In addition, our work also indicated that paying more attention on studies based on these 5 hub genes might help to understand the molecular mechanism of the development of PAH.

Indexed as

Computational BiologyDatabases, Nucleic AcidGene Expression ProfilingGene Regulatory NetworksMicroarray AnalysisProtein Interaction MapsPulmonary Arterial HypertensionHumans

Identifiers

PMID33816621
PMCPMC8010527
OpenAlexW3136649615

What Socratic 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 Socratic graph.