ArticleGastroenterology and hepatology from bed to bench2019
Evaluation of gene expression change in eosinophilic gastroenteritis.
Article in Gastroenterology and hepatology from bed to bench, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Eosinophilic gastroenteritis with negative endoscopic biopsy and no peripheral eosinophilia: A case report.Medicine · 2025Article
- Eosinophilic gastroenteritis in a 14-year-old patient with Noonan syndrome with a PTPN11 variation: a case report.Journal of medical case reports · 2025Article
- [Research progress on risk factors for poor prognosis in pediatric non-esophageal eosinophilic gastrointestinal disorder].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025Review
- Light at Night Exposure Effects on Differentiation and Cell Cycle in the Rat Liver With Autonomic Nervous System Denervation.Journal of lasers in medical sciences · 2019Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimScreening differentially expressed genes (DEGs) related to Eosinophilic gastroenteritis (EG) to introduce possible biomarkers.
backgroundEG as a rare gastrointestinal disorder is characterized with gastrointestinal bleeding, crampy generalized abdominal pain, diarrhea, nausea, vomiting, and weight loss. In this study gene expression profile of patients is analysis via protein-protein interaction (PPI) analysis to reveal new prospective of disease.
methodsTop significant genes of gene expression profiles of 5 gastric antrum EG patients and 5gastric antrum control from GEO which were matched via boxplot analysis were screened via PPI network by using Cytoscape software and STRING database. Numbers of 20 top nodes of query DEGs based on degree value were introduced as central nodes which 7 critical central genes among them were identified. Gene ontology enrichment for the 20 central genes was done by using CluGO. Action map for the central genes was performed by applying CluePedia.
resultsAmong 20 central nodes, TXN, PRDX2, NR3C1, GRB2, PIK3C3, AP2B1 and REPS1 were recognized as critical central genes. Nine biological terms were determined that most of them were involved in the transport processes.
conclusionThe introduced possible biomarkers can be used in the differential diagnosis of the disease and also in treatment of disorder.
Indexed as
Identifiers
31528308PMC6668767W2952336720What OpenQuestion holds
Registered trials
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.