Evidence map›Paper›PMID 34336829›Full record

ArticleFrontiers in cell and developmental biology2021

Comparative Transcriptional Analysis of Pulmonary Arterial Hypertension Associated With Three Different Diseases.

Wei Wang, Zhenhong Jiang, Dandan Zhang, Linghua Fu, Rong Wan, Kui Hong

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 14 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

6 authors at 2 institutions in 1 country.

Wei WangDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Zhenhong JiangDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Dandan ZhangDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Linghua FuDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Rong WanJiangxi Key Laboratory of Molecular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Kui HongDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Nanchang University · CNSecond Affiliated Hospital of Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary arterial hypertension (PAH) is a severe cardiovascular disorder with high mortality. Multiple clinical diseases can induce PAH, but the underlying molecular mechanisms shared in PAHs associated with different diseases remain unclear. The aim of this study is to explore the key candidate genes and pathways in PAH associated with congenital heart disease (CHD-PAH), PAH associated with connective tissue disease (CTD-PAH), and idiopathic PAH (IPAH). We performed differential expression analysis based on a public microarray dataset GSE113439 and identified 1,442 differentially expressed genes, of which 80.3% were upregulated. Subsequently, both pathway enrichment analysis and protein-protein interaction network analysis revealed that the "Cell cycle" and "DNA damage" processes were significantly enriched in PAH. The expression of seven upregulated candidate genes (

Indexed as

cell cycleCUL2DNA damagegene and pathway enrichment analysesprotein-protein interactionpulmonary arterial hypertension

Identifiers

PMID34336829
PMCPMC8319719
OpenAlexW3183380935

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.