Journal
JOURNAL OF INFLAMMATION RESEARCH
Volume 14, Issue -, Pages 6143-6156Publisher
DOVE MEDICAL PRESS LTD
DOI: 10.2147/JIR.S340452
Keywords
nonerosive reflux disease; RNA sequencing; hub gene; bioinformatics analysis; WGCNA; validation
Categories
Funding
- National Natural Science Foundation of China [81970480, 82061138003, 81700492, 81702899]
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This study identified 1195 differentially expressed genes in NERD patients through RNA sequencing, and identified THY1, BMP2, LOX, KDR, and MMP9 as hub genes in NERD. These hub genes showed diagnostic potential through quantitative PCR analysis, and gene set enrichment analysis indicated their close association with the pathophysiological processes of NERD. Additionally, a regulatory network including transcription factors, miRNAs, and hub genes was established.
Purpose: Transcriptomic 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 Methods: We 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. Results: In 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. Conclusion: The 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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