Evidence map›Paper›PMID 28224022›Full record

ArticleGastroenterology and hepatology from bed to bench2016

Introduction of inflammatory bowel disease biomarkers panel using protein-protein interaction (PPI) network analysis.

Hamid Asadzadeh-Aghdaee, Shabnam Shahrokh, Mohsen Norouzinia, Mostafa Hosseini, Aliasghar Keramatinia, Mostafa Jamalan, Bijan Naghibzadeh, Ali Sadeghi, Somayeh Jahani Sherafat, Mohammad Reza Zali

Abstract read
In one paragraph

Article in Gastroenterology and hepatology from bed to bench, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Hamid Asadzadeh-AghdaeeBasic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shabnam ShahrokhBasic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohsen NorouziniaGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mostafa HosseiniFaculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Aliasghar KeramatiniaProteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mostafa JamalanAbadan School of Medical Sciences, Abadan, Iran.
Bijan NaghibzadehHearing Disorders Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ali SadeghiDepartment of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran.
Somayeh Jahani SherafatBehbood Gastroenterology and Liver Diseases Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammad Reza ZaliGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimIn the present study, a protein-protein interaction network construction is conducted for IBD.

backgroundInflammatory bowel diseases as serious chronic gastrointestinal disorders attracted many molecular investigations. Diverse molecular information is present for IBD. However, these molecular findings are not highlighted based on interactome analysis. On the other hand, PPI network analysis is a powerful method for study of molecular interactions in the protein level that provide useful information for highlighting the desired key proteins.

methodsCytoscape is the used software with its plug-ins for detailed analysis. Two centrality parameters including degree and betweenness are determined and the crucial proteins based on these parameters are introduced.

resultsThe 75 proteins among 100 initial proteins are included in the network of IBD. Seventy-five nodes and 260 edges constructed the network as a scale free network. The findings indicate that there are seven hub-bottleneck proteins in the IBD network.

conclusionMore examination revealed the essential roles of these key proteins in the integrity of the network. Finally, the indicator panel including NFKB1, CD40, TNFA, TYK2, NOD2, IL23R, and STAT3 is presented as a possible molecular index for IBD.

Indexed as

Hub-bottlenecksInflammatory bowel diseases (IBD)Protein clustersProtein-protein interaction (PPI) network analysis

Identifiers

PMID28224022
PMCPMC5310794

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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.