Evidence map›Paper›PMID 32228489›Full record

SynthesisBMC medical genetics2020

Identification of novel biomarkers in ischemic stroke: a genome-wide integrated analysis.

Qizhi Xie, Xiaoyun Zhang, Sijia Peng, Jingjing Sun, Xiao Chen, Yuanfei Deng, Li Yi

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC medical genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 16% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 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 3 institutions in 1 country.

Qizhi XieDepartment of Neurology, Peking University Shenzhen Hospital, Shenzhen, China.
Xiaoyun ZhangDepartment of Neurology, Peking University Shenzhen Hospital, Shenzhen, China.
Sijia PengDepartment of Neurology, Peking University Shenzhen Hospital, Shenzhen, China.
Jingjing SunDepartment of Neurology, Peking University Shenzhen Hospital, Shenzhen, China.
Xiao ChenDepartment of Neurology, Peking University Shenzhen Hospital, Shenzhen, China.
Yuanfei DengDepartment of Neurology, Peking University Shenzhen Hospital, Shenzhen, China.
Li YiDepartment of Neurology, Peking University Shenzhen Hospital, Shenzhen, China. yilitj@hotmail.com.
Peking University Shenzhen Hospital · CNShantou University · CNShantou University Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIschemic Stroke (IS) is the most common neurological emergency disease and has become the second most frequent cause of death after coronary artery disease in 2015. Owing to its high fatality rate and narrow therapeutic time window, early identification and prevention of potential stroke is becoming increasingly important.

methodsWe used meta-analysis and bioinformatics mining to explore disease-related pathways and regulatory networks after combining messengerRNA (mRNA) and miRNA expression analyses. The purpose of our study was to screen for candidate target genes and microRNA(miRNA) for early diagnosis of potential stroke.

resultsFive datasets were collected from the Gene Expression Omnibus (GEO) database by systematical retrieval, which contained three mRNA datasets (102 peripheral blood samples in total) and two miRNA dataset (59 peripheral blood samples). Approximately 221 different expression(DE) mRNAs (155 upregulated and 66 downregulated mRNAs) and 185 DE miRNAs were obtained using the metaDE package and GEO2R tools. Further functional enrichments of DE-mRNA, DE-miRNA and protein-protein interaction (PPI) were performed and visualized using Cytoscape.

conclusionOur study identified six core mRNAs and two regulated miRNAs in the pathogenesis of stroke, and we elaborated the intrinsic role of systemic lupus erythematosus (SLE) and atypical infections in stroke, which may aid in the development of precision medicine for treating ischemic stroke. However, the role of these novel biomarkers and the underlying molecular mechanisms in IS require further fundamental experiments and further clinical evidence.

Indexed as

BiomarkersBrain IschemiaComputational BiologyDatasets as TopicGene Expression ProfilingGene Regulatory NetworksGenetic Association StudiesHumansMicroRNAsRNA, MessengerStrokeBiomarkersMicroRNAsRNA, MessengerAtypical infectionBioinformaticsBiomarkersGenesIschemic strokemiRNA

Identifiers

PMID32228489
PMCPMC7106706
OpenAlexW3014079038

What OpenQuestion 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 OpenQuestion graph.