Evidence map›Paper›PMID 32626985›Full record

ArticleMolecular medicine reports2020

Circulating mRNA and microRNA profiling analysis in patients with ischemic stroke.

Sujuan Sun, Litao Li, Lipeng Dong, Jinming Cheng, Congying Zhao, Chu Bao, Hebo Wang

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-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

6 citing papers in PubMed, 13 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

7 authors at 1 institution in 1 country.

Sujuan SunDepartment of Neurology, Hebei General Hospital, Shijiazhuang, Hebei 050050, P.R. China.
Litao LiDepartment of Neurology, Hebei General Hospital, Shijiazhuang, Hebei 050050, P.R. China.
Lipeng DongDepartment of Neurology, Hebei General Hospital, Shijiazhuang, Hebei 050050, P.R. China.
Jinming ChengDepartment of Neurology, Hebei General Hospital, Shijiazhuang, Hebei 050050, P.R. China.
Congying ZhaoDepartment of Neurology, Hebei General Hospital, Shijiazhuang, Hebei 050050, P.R. China.
Chu BaoDepartment of Neurology, Hebei General Hospital, Shijiazhuang, Hebei 050050, P.R. China.
Hebo WangDepartment of Neurology, Hebei General Hospital, Shijiazhuang, Hebei 050050, P.R. China.
Hebei General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To provide insight into molecular diagnosis and individualized treatment of ischemic stroke (IS), several available datasets in IS were analyzed to identify the differentially expressed genes and microRNAs (miRNAs). Series matrix files from GSE22255 and GSE16561 (mRNA profiles), a well as GSE110993 (miRNA profile) were downloaded from the Gene Expression Omnibus database. System‑level clustering was performed with GeneCluster 3.0 software, and gene annotation and pathway enrichment were performed with gene ontology analysis and Database for Annotation, Visualization and Integrated Discovery software. For a protein‑protein interaction (PPI) network, Biological General Repository for Interaction Datasets and IntAct interaction information were integrated to determine the interaction of differentially expressed genes. The selected miRNA candidates were imported into the TargetScan, miRDB and miRecords databases for the prediction of target genes. The present study identified 128 upregulated and 231 downregulated genes in female stroke patients, and 604 upregulated and 337 downregulated genes in male stroke patients compared with sex‑ and age‑matched controls. The construction of a PPI network demonstrated that male stroke patients exhibited YWHAE, CUL3 and JUN as network center nodes, and in female patients CYLD, FOS and PIK3R1 interactions were the strongest. Notably, these interactions are mainly involved in immune inflammatory response, apoptosis and other biological pathways, such as blood coagulation. Female and male upregulated genes were cross‑validated with another set of Illumina HumanRef‑8 v3.0 expression beadchip (GSE16561). Functional item association networks, gene function networks and transcriptional regulatory networks were successfully constructed, and the relationships between miRNAs and target genes were successfully predicted. The present study identified a number of transcription factors, including DEFA1, PDK4, SDPR, TCN1 and MMP9, and miRNAs, including miRNA (miR)‑21, miR‑143/145, miR‑125‑5p and miR‑122, which may serve important roles in the development of cerebral stroke and may be important molecular indicators for the treatment of IS.

Indexed as

Computational BiologyDatabases, GeneticFemaleGene Expression ProfilingGene Expression RegulationGene OntologyGene Regulatory NetworksHumansIschemic StrokeMaleMicroRNAsMolecular Sequence AnnotationOligonucleotide Array Sequence AnalysisProtein Interaction MapsRNA, CircularRNA, MessengerMicroRNAsRNA, CircularRNA, Messengerbioinformaticsgenemicrornasignaling pathwaystroke

Identifiers

PMID32626985
PMCPMC7339759
OpenAlexW3024820224

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.