Evidence map›Paper›PMID 38639275›Full record

ArticleCurrent vascular pharmacology2024

Identification of Critical Genes Differentiating Stable and Unstable Atherosclerotic Plaques: A Bioinformatic and Computational Analysis.

Maryam Mahjoubin-Tehran, Raul D Santos, Wael Almahmeed, Khalid Al-Rasadi, Amirhossein Sahebkar

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Article in Current vascular pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
0.2field-weighted citation impact, top 46% of its field
1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors at 5 institutions in 4 countries.

Maryam Mahjoubin-TehranApplied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Raul D SantosLipid Clinic Heart Institute (Incor), University of São Paulo, Medical School Hospital, São Paulo, Brazil.
Wael AlmahmeedHeart and Vascular Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi P.O. Box 124140, United Arab Emirates.
Khalid Al-RasadiMedical Research Centre, College of Medicine & Health Sciences, Sultan Qaboos University, Muscat, Oman.
Amirhossein SahebkarApplied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Abu Dhabi Health Services · AEBiotechnology Research Center · IRMashhad University of Medical Sciences · IRSultan Qaboos University · OMUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentification of biomarkers to distinguish between stable and unstable plaque formation would be very useful to predict plaque vulnerability.

methodsWe downloaded microarray profiles of gene set enrichment (GSE) accession numbers including GSE71226 and GSE20680 (group A: containing healthy vs stable plaque samples) and GSE62646 and GSE34822 (group B: containing stable vs unstable plaque samples) from Gene expression omnibus (GEO) database. Differentially expressed genes were compared in both data sets of each group.

resultsTen and 12 key genes were screened in groups A and B, respectively. Gene Ontology (GO) enrichment was applied by the plugin "BiNGO" (Biological networks gene ontology tool) of the Cytoscape. The key genes were mostly enriched in the biological process of positive regulation of the cellular process. The protein-protein interaction and co-expression network were analyzed by the STRING (search tool for the retrieval of interacting genes/proteins) and GeneMANIA (gene multiple association network integration algorithm) plugin of Cytoscape, respectively, which showed that

conclusionThe present study used several datasets to identify key genes associated with stable and unstable atherosclerotic plaque.

Indexed as

Computational BiologyDatabases, GeneticGene Expression ProfilingGene Regulatory NetworksPlaque, AtheroscleroticProtein Interaction MapsGene Expression RegulationGenetic MarkersGenetic Predisposition to DiseaseHumansOligonucleotide Array Sequence AnalysisSignal TransductionTranscriptomeGenetic MarkersAtherosclerosisblood biomarkersCytoscape.genesstable plaqueunstable plaque

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PMID38639275
OpenAlexW4394955268

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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.