Transcriptomic Insights into Hub Genes, Immune Infiltration, and Candidate Drugs in Erosive Esophagitis

Ye Zhao,1,* Xi Chen,1,* Yuhan Huang,2,* Zhihan Zhang,3 Kui Wang,1 Duowu Zou,1 Teng Ma2 1Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China; 2Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China; 3Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China*These authors contributed equally to this workCorrespondence: Teng Ma, Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, People’s Republic of China, Email mrmateng@126.com Duowu Zou, Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, People’s Republic of China, Email zdw_pi@163.comPurpose: This study aimed to investigate gene expression profiles, identify potential hub genes, and predict drugs for patients with erosive esophagitis (EE). Despite its clinical significance, molecular-level exploration of this condition has been limited.Patients and Methods: RNA sequencing was performed on clinical biopsy samples from eight EE patients and eight healthy controls. Integrated bioinformatic tools were then utilized to analyze the data, including functional enrichment analysis, protein-protein interaction network analysis, weighted gene co-expression network analysis, immune infiltration analysis, and identification of small-molecule compounds. Additionally, the expressions of the identified hub genes were assessed in clinical samples.Results: A total of 2801 genes with differential expression were identified, including four potential hub genes: SOX9, SPP1, TIMP1, and TLR4. Moreover, the overexpression of these hub genes was verified in clinical samples. Analysis of Immune infiltration indicated an imbalance in the distribution of immune cell types in patients with EE. Correlation analysis between immune cells and hub genes unveiled noteworthy relationships. Specifically, SOX9 exhibited a negative correlation with CD8 T cells but a positive correlation with resting memory CD4 T cells. SPP1 displayed a positive correlation with naïve B cells, while TIMP1 exhibited a negative correlation with resting dendritic cells. Furthermore, the study identified ten small-molecule drugs with potential therapeutic effects for EE, including loreclezole and mercaptopurine.Conclusion: This study provides valuable insights into the molecular understanding of EE, offering new perspectives on disease mechanisms. The findings may inspire further research leading to the development of novel treatment strategies for EE.Keywords: erosive esophagitis, RNA sequencing, bioinformatics analysis, immune infiltration, drug prediction