Evidence map›Paper›PMID 29115560›Full record

ArticleMolecular medicine reports2018

Identification of key genes, transcription factors and microRNAs involved in intracranial aneurysm.

Liang Wei, Qi Wang, Yanfei Zhang, Cheng Yang, Hongxin Guan, Yiming Chen, Zhiyang Sun

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. The application of silent MRA in follow-up after intracranial aneurysm endovascular treatment.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025
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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.

Liang WeiDepartment of Neurosurgery, East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China.
Qi WangDepartment of Neurosurgery, East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China.
Yanfei ZhangDepartment of Neurosurgery, East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China.
Cheng YangDepartment of Neurosurgery, East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China.
Hongxin GuanDepartment of Neurosurgery, East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China.
Yiming ChenDepartment of Neurosurgery, East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China.
Zhiyang SunDepartment of Neurosurgery, East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China.
Shanghai East Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intracranial aneurysm (IA) is a devastating disease, the pathogenesis of which remains to be elucidated. The present study aimed to determine the molecular mechanism of IA and to identify potential therapeutic targets using bioinformatics analysis. The GSE54083 dataset, which includes data from patients with ruptured IA and superficial temporal artery controls, was downloaded from the Gene Expression Omnibus, and differentially expressed genes (DEGs) were identified in the ruptured IA samples using the limma package in R. Subsequently, the Database for Annotation, Visualization and Integrated Discovery software was used to perform function and pathway enrichment analyses and the Search Tool for the Retrieval of Interacting Genes database was used to construct the protein‑protein interaction (PPI) network. Then, microRNA (miRNA) target and transcription factor (TF) target pairs were identified using the miR2Disease, MiRwalk2, ITFP and TRANSFAC databases. Finally, an integrated network of TF‑target‑miRNAs was constructed using Cytoscape. A total of 402 upregulated DEGs and 375 downregulated DEGs were identified from the ruptured IA samples compared with the superficial temporal artery samples. The majority of the upregulated DEGs were significantly enriched in the immune system development category, including CD40 ligand (CD40LG) and CD40 and the downregulated DEGs, such as striatin (STRN), were enriched in neuron projection development. In addition, nitric oxide synthase 1 (NOS1), a target of miRNA‑125b, and myosin heavy chain 11 (MYH11), a target of minichromosome maintenance complex component 4 (MCM4), had higher degree scores in the integrated network. These findings suggest that CD40, CD40LG, NOS1, STRN, MCM4, MYH11 and miR‑125b may be potential therapeutic targets for the treatment of IA.

Indexed as

Disease SusceptibilityAdultAgedAged, 80 and overCluster AnalysisComputational BiologyFemaleGene Expression ProfilingGene Regulatory NetworksGenetic Association StudiesHumansIntracranial AneurysmMaleMicroRNAsMiddle AgedProtein Interaction MappingMicroRNAsTranscription Factors

Identifiers

PMID29115560
PMCPMC5780181
OpenAlexW2766362718

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.