Identification of O-glycosylation related genes and subtypes in ulcerative colitis based on machine learning

• Published in: PloS one Vol. 19; no. 12; p. e0311495
• Main Authors: Lu, Yue, Su, Yi, Wang, Nan, Li, Dongyue, Zhang, Huichao, Xu, Hongyu
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 31.12.2024; Public Library of Science (PLoS)
• Subjects: ADAMTS-1 protein; Analysis; Antigens; Bioinformatics; Biology and Life Sciences; Colitis, Ulcerative - genetics; Colitis, Ulcerative - metabolism; Colorectal cancer; Colorectal carcinoma; Datasets; Development and progression; Disease; Gene expression; Genes; Genetic aspects; Glycosylation; Health aspects; Humans; Inflammatory bowel disease; Inflammatory bowel diseases; Learning algorithms; Machine Learning; Medicine and Health Sciences; Metabolism; O-GlcNAcylation; Pathogenesis; Proteins; Risk factors; Software; Support vector machines; Transcription factors; Ulcerative colitis; China
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0311495

Ulcerative colitis (UC) is an immune-related inflammatory bowel disease, with its underlying mechanisms being a central area of clinical research. O-GlcNAcylation plays a critical role in regulating immunity progression and the occurrence of inflammatory diseases and tumors. Yet, the mechanism of O-GlcNAc-associated colitis remains to be elucidated . To this end, the transcriptional and clinical data of GSE75214 and GSE92415 from the GEO database was hereby examined, and genes MUC1, ADAMTS1, GXYLT2, and SEMA5A were found to be significantly related to O-GlcNAcylation using machine learning methods. Based on the four hub genes, two UC subtypes were built. Notably, subtype B might be prone to developing colitis-associated colorectal cancer (CAC). This study delved into the role of intestinal glycosylation changes, especially the O-GlcNAcylation, and forged a foundation for further research on the occurrence and development of UC. Overall, understanding the role of O-GlcNAcylation in UC could have significant implications for diagnosis and treatment, offering valuable insights into the disease’s progression.