ArticleJournal of inflammation research2021
Identification of Unique Transcriptomic Signatures and Hub Genes Through RNA Sequencing and Integrated WGCNA and PPI Network Analysis in Nonerosive Reflux Disease.
Article in Journal of inflammation research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 15 citations in OpenAlex.
- In silico analysis of gene expression signatures and drug repurposing associated with metastatic progression in melanoma (skin cancer).Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
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- Convergent Immune-Coagulation Programs Underlie Gastrointestinal Bleeding Risk in Portal Vein Tumor Thrombosis-Associated Hepatocellular Carcinoma and Portal Hypertension.Human mutation · 2026Article
- Exploration of the potential therapeutic effects and targets of Coriandrum sativum on non-erosive esophagitis based on bioinformatics and molecular dynamics simulation.Scientific reports · 2025Article
- Colon cancer versus colitis: a microRNA and gene expression analysis via system biology tools.Gastroenterology and hepatology from bed to bench · 2025Article
- Topics and trends in gastroesophageal reflux disease research over the past 60 years: a text mining and network analysis.Translational gastroenterology and hepatology · 2025Article
- Evaluation of Verteporfin as a Photosensitizer With Anticancer Activity Via System Biology Tools.Journal of lasers in medical sciences · 2025Article
- Role of mechanoregulation in mast cell-mediated immune inflammation of the smooth muscle in the pathophysiology of esophageal motility disorders.American journal of physiology. Gastrointestinal and liver physiology · 2024Review
- Comparison of the Efficacy of Photodynamic Therapy Versus Cisplatin Application.Journal of lasers in medical sciences · 2024Article
- Transcriptomic Insights into Hub Genes, Immune Infiltration, and Candidate Drugs in Erosive Esophagitis.Journal of inflammation research · 2024Article
- Relationship between the expression of PD-L1 andBritish journal of cancer · 2023Article
- Identification of unique transcriptomic signatures and key genes through RNA sequencing and integrated WGCNA and PPI network analysis in HIV infected lung cancer.Cancer medicine · 2023Article
- Comprehensive Genetic Analysis of Tuberculosis and Identification of Candidate Biomarkers.Frontiers in genetics · 2022Article
- Construction of a Redox-Related Prognostic Model with Predictive Value in Survival and Therapeutic Response for Patients with Lung Adenocarcinoma.Journal of healthcare engineering · 2022Article
- Integrated analysis of bulk and single-cell RNA-seq reveals the role of MYC signaling in lung adenocarcinoma.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTranscriptomic studies on gastroesophageal reflux disease are scarce, and gene expression signatures in nonerosive reflux disease (NERD) remain elusive. The aim of the study was to identify gene expression profiles and potential hub genes in NERD. PATIENTS AND
methodsWe performed RNA sequencing on biopsy samples from nine consecutive patients with NERD and six healthy controls. Differentially expressed genes (DEGs) were analysed with the DESeq2 R package. A DEG-based protein-protein interaction (PPI) network was constructed to filter hub genes using Cytoscape. Weighted gene coexpression network analysis (WGCNA) was conducted to identify the coexpression relationships of all modules and explore the relationship between gene sets and clinical traits.
resultsIn total, 1195 DEGs were identified, including 649 upregulated and 546 downregulated genes involved in regulating the inflammatory response and epithelial cell differentiation. Overlap of the PPI and WGCNA networks identified five shared genes, namely, THY1, BMP2, LOX, KDR and MMP9, as candidate hub genes in NERD. Quantitative PCR analysis of the expression of these five genes confirmed the sequencing results. Receiver operating characteristic analyses indicated that these hub genes had diagnostic potential for NERD patients. Gene set enrichment analysis confirmed that each hub gene was closely associated with the pathophysiological processes of NERD. In addition, a regulatory network comprising 42 transcription factors (TFs), 28 miRNAs and 5 hub genes was established.
conclusionThe five core genes may be promising biomarkers of NERD. The TF/miRNA/hub gene network can improve the understanding of the molecular mechanisms underlying disease progression.
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