Evidence map›Paper›PMID 31719822›Full record

ArticleHereditas2019

Identification of key microRNAs in the carotid arteries of ApoE

Xinzhou Wang, Shuibo Gao, Liping Dai, Zhentao Wang, Hong Wu

Open access · goldAbstract read
In one paragraph

Article in Hereditas, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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

5 authors at 1 institution in 1 country.

Xinzhou Wang *1Laboratory of Cell Imaging, Henan University of Chinese Medicine, 6 Dongfeng Rd, Zhengzhou, 450002 Henan China.
Shuibo Gao *1Laboratory of Cell Imaging, Henan University of Chinese Medicine, 6 Dongfeng Rd, Zhengzhou, 450002 Henan China.
Liping Dai2School of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, 450046 China.
Zhentao Wang3Institute of Cardiovascular Disease, Henan University of Chinese Medicine, Zhengzhou, 450002 China.
Hong Wu1Laboratory of Cell Imaging, Henan University of Chinese Medicine, 6 Dongfeng Rd, Zhengzhou, 450002 Henan China.ORCID 0000-0002-1912-1609
First Affiliated Hospital of Henan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtherosclerosis (AS) is one of the main causes of cardiovascular disease. AS plaques often occur in blood vessels with oscillatory blood flow and their formation can be regulated by microRNAs (miRNAs). The aim of this study is to identify the key miRNAs and molecular pathways involved in this pathological process.

methodsIn this study, gene chip data obtained from the GEO database was analyzed using the LIMMA package to find differentially expressed miRNAs (DE miRNAs) in the carotid arteries of ApoE

resultsThe networks of the DE miRNAs-PTGs, Pathway-PTGs-DE miRNAs, and PTGs PPI, were constructed using Cytoscape, and 11 up-regulated and 13 down-regulated DE miRNAs and 1479 PTGs were found. GO results showed that PTGs were significantly enriched in functions such as transcriptional regulation and DNA binding. KEGG results showed that PTGs were significantly enriched in inflammation-related mitogen-activated protein kinase (MAPK) and AS-related FOXO pathways. The PPI network revealed some key target genes in the PTGs.

conclusionsThe analysis of key miRNAs and molecular pathways that regulate the formation of AS plaques induced by oscillatory blood flow will provide new ideas for AS treatment.

Indexed as

Blood Flow VelocityAnimalsAtherosclerosisCarotid ArteriesComputational BiologyDisease SusceptibilityGene Expression ProfilingGene OntologyGene Regulatory NetworksMiceMice, Knockout, ApoEMicroRNAsProtein Interaction MappingProtein Interaction MapsRegional Blood FlowShear StrengthMicroRNAsAtherosclerosisBioinformaticsMicroarray analysismicroRNAOscillatory blood flow

Identifiers

PMID31719822
PMCPMC6833270
OpenAlexW2986611520

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.