Evidence map›Paper›PMID 32886110›Full record

ArticleBioscience reports2020

Identification of novel biomarkers involved in pulmonary arterial hypertension based on multiple-microarray analysis.

Yi Ma, Shu-Shu Chen, Yan-Yan Feng, Huan-Liang Wang

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-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

15 citing papers in PubMed, 20 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Yi MaDepartment of Anesthesiology, Qilu Hospital of Shandong University, Jinan 250012, China.
Shu-Shu ChenDepartment of Anesthesiology, Qilu Hospital of Shandong University, Jinan 250012, China.
Yan-Yan FengDepartment of Anesthesiology, Qilu Hospital of Shandong University, Jinan 250012, China.
Huan-Liang WangDepartment of Anesthesiology, Qilu Hospital of Shandong University, Jinan 250012, China.
Qilu Hospital of Shandong University · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary arterial hypertension (PAH) is a life-threatening chronic cardiopulmonary disorder. However, studies providing PAH-related gene expression profiles are scarce. To identify hub genes involved in PAH, we investigate two microarray data sets from gene expression omnibus (GEO). A total of 150 differentially expressed genes (DEGs) were identified by limma package. Enriched Gene Ontology (GO) annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of DEGs mostly included mitotic nuclear division, ATPase activity, and Herpes simplex virus one infection. Ten hub genes from three significant modules were ascertained by Cytoscape (CytoHubba). Gene set enrichment analysis (GSEA) plots showed that transcription elongation factor complex was the most significantly enriched gene set positively correlated with the PAH group. At the same time, solute proton symporter activity was the most significantly enriched gene set positively correlated with the control group. Correlation analysis between hub genes suggested that SMC4, TOP2A, SMC2, KIF11, KIF23, ANLN, ARHGAP11A, SMC3, SMC6 and RAD50 may involve in the pathogenesis of PAH. Then, the miRNA-target genes regulation network was performed to unveil the underlying complex association among them. Finally, RNA extracted from monocrotaline (MCT)-induced Rat-PAH model lung artery tissues were to conduct quantitative real-time PCR (qRT-PCR) to validate these hub genes. In conclusion, our study offers new evidence for the underlying molecular mechanisms of PAH as well as attractive targets for diagnosis and treatment of PAH.

Indexed as

Gene Regulatory NetworksAnimalsBiomarkersComputational BiologyDatasets as TopicDisease Models, AnimalGene Expression ProfilingHumansMicroarray AnalysisMicroRNAsMonocrotalinePulmonary Arterial HypertensionPulmonary ArteryRatsRNA, MessengerBiomarkersMicroRNAsMonocrotalineRNA, MessengerBioinformaticsComputational biologyPulmonary Arterial HypertensionTranscriptomics

Identifiers

PMID32886110
PMCPMC7494994
OpenAlexW3083022536

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Registered trials

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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.