Evidence map›Paper›PMID 25318463›Full record

ArticleInternational journal of molecular medicine2014

Dissecting the mechanism of carotid atherosclerosis from the perspective of regulation.

Min Lin, Lin Zhao, Wenlong Zhao, Jing Weng

Abstract read
In one paragraph

Article in International journal of molecular medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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.

Min LinDepartment of Neurology, Fuzhou General Hospital of Nanjing Command, PLA, Fuzhou 350025, P.R. China.
Lin ZhaoDepartment of Neurosurgery, Fuzhou General Hospital of Nanjing Command, PLA, Fuzhou 350025, P.R. China.
Wenlong ZhaoDepartment of Neurology, Fuzhou General Hospital of Nanjing Command, PLA, Fuzhou 350025, P.R. China.
Jing WengDepartment of Neurology, Fuzhou General Hospital of Nanjing Command, PLA, Fuzhou 350025, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carotid atherosclerosis is a chronic inflammatory disease of the arterial wall. The present study aimed to identify changes in the gene expression and regulatory factors for atherosclerotic plaques of carotid atherosclerosis from an early to an advanced stage. The original data were downloaded from the NCBI GEO database under accession no. GSE28829. Differentially expressed genes (DEGs) were detected by the Robust Multiarray Average (RMA). The enriched Gene Ontology (GO) terms and pathways for DEGs using DAVID were subsequently identified. The transcriptional and microRNA (miRNA) regulatory network were constructed for the DEGs. Cis-regulatory signals were also investigated. More genes were activated in the advanced stage compared with the early stage. IGHG1 and SPP1 were upregulated, while MYBL1 and PLD were downregulated. The upregulated genes in the advanced stage were involved in atherosclerosis‑related GO terms such as immune, vascular and cell movement homeostasis. The DEGs were significantly enriched in cell adhesion molecules (CAMs) and the focal adhesion pathway. MMP9 and CFL2 played key roles in the transcriptional regulatory network. Moreover, miR-328 was identified as one of the hubs in the miRNA regulatory network. The results may therefore be used to determine the mechanism involved in carotid atherosclerosis.

Indexed as

Gene Regulatory NetworksCarotid Artery DiseasesCofilin 2Databases, GeneticGene OntologyHumansMatrix Metalloproteinase 9MicroRNAsModels, GeneticOligonucleotide Array Sequence AnalysisSignal TransductionTranscriptomeCFL2 protein, humanCofilin 2Matrix Metalloproteinase 9MicroRNAsMIRN328 microRNA, human

Identifiers

PMID25318463
PMCPMC4214333

What OpenQuestion holds

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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.