Evidence map›Paper›PMID 29118935›Full record

ArticleGastroenterology and hepatology from bed to bench2017

A systems biology analysis protein-protein interaction of NASH and IBD based on comprehensive gene information.

Reza Karbalaei, Mehran Piran, Mostafa Rezaei-Tavirani, Hamid Asadzadeh-Aghdaei, Mohammad Hossein Heidari

Open access · greenAbstract read
In one paragraph

Article in Gastroenterology and hepatology from bed to bench, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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  4. Review
  5. Review
  6. Down-regulation of TP53 is a highlighted molecular event in gastric ulcer.Gastroenterology and hepatology from bed to bench · 2022
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  12. Nasopharyngeal Carcinoma Protein Interaction Mapping Analysis via Proteomic ApproachesAsian Pacific journal of cancer prevention : APJCP · 2018
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  13. Article
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  15. Network analysis of grade II into grade III transition in rectum cancer patients.Gastroenterology and hepatology from bed to bench · 2018
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  16. Article
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  19. Evaluation of GKN1 and GKN2 gene expression as a biomarker of gastric cancer.Gastroenterology and hepatology from bed to bench · 2018
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  20. Article
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 2 institutions in 1 country.

Reza KarbalaeiProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mehran PiranDrug Design and Bioinformatics Unit, Medical Biotechnology Department, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Mostafa Rezaei-TaviraniProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hamid Asadzadeh-AghdaeiBasic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases Shahid Beheshti University Medical Sciences, Tehran, Iran.
Mohammad Hossein HeidariProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IRBiotechnology Research Center · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAnalysis reconstruction networks from two diseases, IBD and NASH and their relationship, based on systems biology methods.

backgroundIBD and NASH are two complex diseases, with progressive prevalence and high cost for countries. There are some reports on co-existence of these two diseases. In addition, they have some similar risk factors such as age, obesity, and insulin resistance. Therefore, systems biology approach can help to discover their relationship.

methodsDisGeNET and STRING databases were sources of disease genes and constructing networks. Three plugins of Cytoscape software, including ClusterONE, ClueGO and CluePedia, were used to analyze and cluster networks and enrichment of pathways. Based on degree and Betweenness, hubs and bottleneck nodes were defined.

resultsCommon genes between IBD and NASH construct a network with 99 nodes. Common genes between IBD and NASH were extracted and imported to STRING database to construct PPI network. The resulting network contained 99 nodes and 333 edges. Five genes were selected as hubs: JAK2, TLR2, TP53, TLR4 and STAT3 and five genes were selected as bottleneck including: JAK2, TP53, AGT, CYP3A4 and TLR4. These genes were hubs in analysis network that was constructed from hubs of NASH and IBD networks.

conclusionSystems biology methods, specifically PPI networks, can be useful for analyzing complicated related diseases. Finding Hub and bottleneck proteins should be the goal of drug designing and introducing disease markers.

Indexed as

Hub-bottlenecksInflammatory bowel diseases (IBD)Non-alcoholic steatohepatitis (NASH)Protein clustersProtein-protein interaction (PPI) network analysis

Identifiers

PMID29118935
PMCPMC5660269
OpenAlexW2754645765

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.