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溃疡性结肠炎中硒代谢及硒蛋白相关基因特征的综合分析
Authors Gao C, Wang J, Dai S, Wang D, Wang J
Received 10 April 2025
Accepted for publication 5 August 2025
Published 18 August 2025 Volume 2025:18 Pages 11299—11316
DOI https://doi.org/10.2147/JIR.S533743
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Nadia Andrea Andreani
Chang Gao,1,* Jiaojiao Wang,1,* Siqi Dai,2 Danning Wang,1 Jianwei Wang1,2
1Department of Oncology, The Fourth Affiliated Hospital of School of Medicine, and International Institutes of Medicine, Zhejiang University School of Medicine, Yiwu, 322000, People’s Republic of China; 2Department of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Jianwei Wang, Email sypzju@zju.edu.cn
Background: Ulcerative colitis (UC) is a chronic inflammatory bowel disease marked by persistent mucosal inflammation. Oxidative stress plays a vital role in UC pathogenesis. Selenium (Se), an essential trace element, functions via selenoproteins and metabolites. Selenocysteine (Sec), the 21st amino acid, is incorporated into selenoproteins with strong antioxidant and anti-inflammatory properties. However, the role of selenium metabolism and selenoproteins (SeMet) in UC remains poorly understood.
Methods: Gene expression and clinical data from UC patients and healthy controls were obtained from the GEO database. SeMet-related gene sets were collected from Molecular Signatures Database (MSigDB). Weighted gene co-expression network analysis (WGCNA) and differential expression analysis identified key modules and genes associated with UC. Machine learning algorithms were used to screen signature genes and construct a UC risk prediction model. Single-cell RNA sequencing (scRNA-seq) was performed to examine gene expression at the cellular level. Expression of differentially regulated genes (DRGs) and signature genes was validated using quantitative polymerase chain reaction (qPCR), Western blotting, and immunohistochemistry (IHC).
Results: DRGs were significantly upregulated in UC and used to classify 161 UC samples into two subtypes. Six candidate signature genes were identified by integrating WGCNA and machine learning, showing high diagnostic potential and inter-correlation. scRNA-seq revealed upregulation of many selenoproteins in epithelial cells and downregulation of SELENOP in immune cells. The six signature genes were consistently upregulated across multiple cell types. WARS1 (tryptophanyl-tRNA synthetase 1), one of the signature genes, responded strongly to oxidative stress, and its knockdown elevated inflammatory cytokine levels.
Conclusion: SeMet-related genes are crucial in UC pathogenesis, particularly through antioxidant defense and immune modulation. The identified six-gene signature offers promising diagnostic and therapeutic potential for UC.
Keywords: ulcerative colitis, selenium metabolism, selenoproteins, oxidative stress, WARS1