Evidence map›Paper›PMID 30013745›Full record

ArticleGastroenterology and hepatology from bed to bench2018

Celiac disease microarray analysis based on System Biology Approach.

Mostafa Rezaei Tavirani, Davood Bashash, Fatemeh Tajik Rostami, Sina Rezaei Tavirani, Abdolrahim Nikzamir, Majid Rezaei Tavirani, Mohammad Hossain Haidary

Abstract read
In one paragraph

Article in Gastroenterology and hepatology from bed to bench, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

13 citing papers in PubMed.

  1. Down-regulation of TP53 is a highlighted molecular event in gastric ulcer.Gastroenterology and hepatology from bed to bench · 2022
    Article
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  6. Highlighted role of VEGFA in follow up of celiac disease.Gastroenterology and hepatology from bed to bench · 2019
    Article
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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.

Mostafa Rezaei TaviraniProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Davood BashashProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Fatemeh Tajik RostamiFaculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Sina Rezaei TaviraniProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Abdolrahim NikzamirFaculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Majid Rezaei TaviraniFaculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Mohammad Hossain HaidaryProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAim of this study is screen of the large numbers of related genes of CD to find the key ones.

backgroundCeliac disease (CD) is known as a gluten sensitive and immune system dependent disease. There are several high throughput investigations about CD but it is necessary to clarify new molecular aspects mechanism of celiac.

methodsWhole-genome profile (RNA) of the human peripheral blood mononuclear cells (PBMCs) as Gene expression profile GSE113469 was retrieved Gene Expression Omnibus (GEO) database. The significant genes were selected and analyzed via protein-protein interaction (PPI) network by Cytoscape software. The key genes were introduced and enriched via ClueGO to find the related biochemical pathways.

resultsAmong 250 significant genes 47 genes with expressed change above 2 fold change (FC) were interacted and the constructed network were analyzed. The network characterized by poor connections so it was promoted by addition 50 related nodes and 18 crucial nodes were introduced. Two clusters of biochemical pathways were identified and discussed.

conclusionThere is an obvious conflict between microarray finding and the well-known related genes of CD. This problem can be solve by more attention to the interpretation of PPI ntwork analysis results.

Indexed as

Celiac diseaseClueGO.Crucial genesCytoscapeSystem biology

Identifiers

PMID30013745
PMCPMC6040039

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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.