Evidence map›Paper›PMID 35571620›Full record

ArticleDisease markers2022

Pyroptosis-Related Gene Signature and Expression Patterns in the Deterioration of Atherosclerosis.

Yan Wu, Qi Ma, Xudong Wang, Tianci Wei, Jiawei Tian, Wenjing Zhang

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. A morphology and secretome map of pyroptosis.Molecular biology of the cell · 2025
    Article
  3. Review
  4. Article
  5. 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

6 authors at 1 institution in 1 country.

Yan WuDepartment of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0001-7534-2062
Qi MaDepartment of Ultrasound, Harbin Red Cross Central Hospital, Harbin, China.ORCID https://orcid.org/0000-0001-9012-4194
Xudong WangDepartment of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0002-3916-6484
Tianci WeiDepartment of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0002-4281-3136
Jiawei TianDepartment of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0001-6674-8714
Wenjing ZhangDepartment of Laboratory Diagnosis, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0002-4507-5351
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pyroptosis has been shown to be involved in the overall process of atherosclerosis. This study was aimed at investigating pyroptosis-related gene expression patterns in atherosclerosis and their diagnostic significance. Methods and Results: In GSE100927, fifty-four pyroptosis-related genes were identified. Between atherosclerotic plaques and normal samples, the expression patterns of pyroptosis-related genes were significantly different. In order to construct a pyroptosis-related risk score signature (PRSS), the least absolute shrinkage and selection operator (LASSO) was combined with multivariate logistic regression to screen twelve genes. The diagnostic efficiency of the PRSS performed well in GSE43292, as shown by the results of receiver-operating characteristics (ROCs). Consensus clustering identified two expression patterns of pyroptosis-related genes in different statuses of atherosclerotic plaque in GSE163154. The biological behavior of the different clusters was examined by the gene set variation analysis (GSVA). The Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment analyses revealed that the differentially expressed genes (DEGs) in the two clusters were enriched in the immune response. The Cytoscape software was used to construct protein-protein interaction (PPI) networks for hub gene screening. Following that, the Drug Gene Interaction Database (DGIdb) was utilized to find 47 possible medicines and chemical compounds that interact with hub genes in atherosclerotic plaques. Conclusion: The results of this study showed that pyroptosis-related genes contribute to the progression of atherosclerosis and may serve as biomarkers in clinical diagnosis as well as novel therapeutic targets for the treatment of AS.

Indexed as

AtherosclerosisPlaque, AtheroscleroticCluster AnalysisGene Expression ProfilingGene Regulatory NetworksHumansPyroptosisSoftware

Identifiers

PMID35571620
PMCPMC9098329
OpenAlexW4229057445

What Socratic holds

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LicenceCC BY
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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.