Evidence map›Paper›PMID 30996357›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2019

[Role of miR-106b-5p in the regulation of gene profiles in endothelial cells].

J Zhang, S F Li, H Chen, J X Song

Open access · greenAbstract read
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Circulating miRNA-106b-5p As a Potential Biomarker for Coronary Artery Disease.International journal of molecular and cellular medicine · 2024
    Article
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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

4 authors at 1 institution in 1 country.

J ZhangDepartment of Cardiology, Peking University People's Hospital; Beijing Key Laboratory of Early Prediction and Intervention of Acute Myocardial Infarction; Center for Cardiovascular Translational Research, Peking University People's Hospital, Beijing 100044, China.
S F LiDepartment of Cardiology, Peking University People's Hospital; Beijing Key Laboratory of Early Prediction and Intervention of Acute Myocardial Infarction; Center for Cardiovascular Translational Research, Peking University People's Hospital, Beijing 100044, China.
H ChenDepartment of Cardiology, Peking University People's Hospital; Beijing Key Laboratory of Early Prediction and Intervention of Acute Myocardial Infarction; Center for Cardiovascular Translational Research, Peking University People's Hospital, Beijing 100044, China.
J X SongDepartment of Cardiology, Peking University People's Hospital; Beijing Key Laboratory of Early Prediction and Intervention of Acute Myocardial Infarction; Center for Cardiovascular Translational Research, Peking University People's Hospital, Beijing 100044, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the role of miR-106b-5p in the regulation of gene expression in endothelial cells.

methodsThe Taqman low-density microRNAs (miRNAs) array (TLDA) was used to identify miRNA expression profiles in the plasma of patients with atherosclerotic coronary artery disease (CAD) (atherosclerosis group, n=9) and individuals without atherosclerotic CAD disease (control group, n=9). A weighed and undirected miRNA coexpression network analysis was performed to investigate the interactions among miRNAs in the two groups. MiR-106b-5p, whose coexpression pattern in atherosclerosis group was most different from that of control group, was further studied. Human umbilical vein endothelial cells (HUVEC) were transfected with miR-106b-5p mimic or negative control mimic, and Affymetrix GeneChip Human Transcriptome Array 2.0 was used to screen the differential gene expression profiles after transfection. And the signal transduction pathway of differential gene profiles was further analyzed in Kyoto Encyclopedia of Genes and Genomes (KEGG) signal pathway database. After parsing the whole KEGG database, all differentially expressed genes involved pathways were extracted, and the hypergeometric distribution was used to calculate the pathway enrichment.

resultsThe coexpression pattern of the patients with atherosclerosis (140 nodes, 1 154 edges) differed from that of the non-atherosclerosis control group (140 nodes, 612 edges). The analysis of array data with significant analysis of microarray (SAM) identified 746 significantly deregulated genes (fold change ≥ 1.5 and false discovery rate < 0.01) altered by overexpression of miR-106b-5p with miR-106b-5p mimic in HUVEC. By calculating the pathway enrichment, we found that multiple signaling pathways enriched in differential gene profiles were closely related to the process of formation and rupture of atherosclerotic plaque, including phosphatidylinositol-3 kinase (PI3K)/ protein kinase B (PKB, also called Akt), mammalian target of rapamycin (mTOR), transforming growth factor-β (TGF-β), janus kinase / signal transducer and activator of transcription (Jak-STAT), tumor necrosis factor (TNF), toll like receptor (TLR) and hypoxia-inducible factor 1α (HIF-1α) and other signal pathways.

conclusionThe coexpression pattern of miRNAs in plasma of patients with atherosclerosis is more significantly changed than that of individuals without atherosclerotic disease. MiR-106b-5p, which shows the most significant difference between groups, targets multiple signal pathways in vascular endothelial cells, and might play an important role in the regulatory network of atherosclerotic gene expression.

Indexed as

HumansHuman Umbilical Vein Endothelial CellsMicroRNAsOligonucleotide Array Sequence AnalysisProto-Oncogene Proteins c-aktSignal TransductionMicroRNAsMIRN106 microRNA, humanProto-Oncogene Proteins c-akt

Identifiers

PMID30996357
PMCPMC7441209
OpenAlexW2952768489

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Registered trials

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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.