Evidence map›Paper›PMID 25434468›Full record

ArticleMolecular medicine reports2015

Analysis of the protein-protein interaction networks of differentially expressed genes in pulmonary embolism.

Hao Wang, Chen Wang, Lei Zhang, Yinghua Lu, Qianglin Duan, Zhu Gong, Aibin Liang, Haoming Song, Lemin Wang

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The origin and onset of acute venous thrombus.International journal of clinical and experimental medicine · 2015
    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

9 authors at 2 institutions in 1 country.

Hao WangDepartment of Family Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, P.R. China.
Chen WangDepartment of Family Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, P.R. China.
Lei ZhangDepartment of Family Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, P.R. China.
Yinghua LuDepartment of Family Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, P.R. China.
Qianglin DuanDepartment of Cardiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, P.R. China.
Zhu GongDepartment of Cardiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, P.R. China.
Aibin LiangDepartment of Hematology, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, P.R. China.
Haoming SongDepartment of Cardiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, P.R. China.
Lemin WangDepartment of Cardiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, P.R. China.
Tongji University · CNTongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to explore the function and interaction of differentially expressed genes (DEGs) in pulmonary embolism (PE). The gene expression profile GSE13535, was downloaded from the Gene Expression Omnibus database. The DEGs 2 and 18 h post‑PE initiation were identified using the affy package in R software. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of the DEGs were analyzed using Database for Annotation Visualization and Integrated Discovery (DAVID) online analytical tools. In addition, protein‑protein interaction (PPI) networks of the DEGs were constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins. The PPI network at 18 h was modularized using Clusterone, and a functional enrichment analysis of the DEGs in the top three modules was performed with DAVID. Overall, 80 and 346 DEGs were identified 2 and 18 h after PE initiation, respectively. The KEGG pathways, including chemokine signaling and toll‑like receptor signaling, were shown to be significantly enriched. The five highest degree nodes in the PPI networks at 2 or 18 h were screened. The module analysis of the PPI network at 18 h revealed 11 hub nodes. A Gene Ontology terms analysis demonstrated that the DEGs in the top three modules were associated with the inflammatory, defense and immune responses. The results of the present study suggest that the DEGs identified, including chemokine‑related genes TFPI2 and TNF, may be potential target genes for the treatment of PE. The chemokine signaling pathway, inflammatory response and immune response were explored, and it may be suggested that these pathways have important roles in PE.

Indexed as

Gene Expression RegulationGene Regulatory NetworksProtein Interaction MapsComputational BiologyDatabases, GeneticGene Expression ProfilingHumansPulmonary EmbolismSignal TransductionTime Factors

Identifiers

PMID25434468
PMCPMC4337743
OpenAlexW1982887989

What OpenQuestion holds

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LicenceCC BY
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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.