Identification of O-glycosylation related genes and subtypes in ulcerative colitis based on machine learning.
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-...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2024-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0311495 |
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| author | Yue Lu Yi Su Nan Wang Dongyue Li Huichao Zhang Hongyu Xu |
| author_facet | Yue Lu Yi Su Nan Wang Dongyue Li Huichao Zhang Hongyu Xu |
| author_sort | Yue Lu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-58826e19c19841d0a3850deb514f32bc |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-58826e19c19841d0a3850deb514f32bc2025-01-08T05:32:18ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-011912e031149510.1371/journal.pone.0311495Identification of O-glycosylation related genes and subtypes in ulcerative colitis based on machine learning.Yue LuYi SuNan WangDongyue LiHuichao ZhangHongyu XuUlcerative 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.https://doi.org/10.1371/journal.pone.0311495 |
| spellingShingle | Yue Lu Yi Su Nan Wang Dongyue Li Huichao Zhang Hongyu Xu Identification of O-glycosylation related genes and subtypes in ulcerative colitis based on machine learning. PLoS ONE |
| title | Identification of O-glycosylation related genes and subtypes in ulcerative colitis based on machine learning. |
| title_full | Identification of O-glycosylation related genes and subtypes in ulcerative colitis based on machine learning. |
| title_fullStr | Identification of O-glycosylation related genes and subtypes in ulcerative colitis based on machine learning. |
| title_full_unstemmed | Identification of O-glycosylation related genes and subtypes in ulcerative colitis based on machine learning. |
| title_short | Identification of O-glycosylation related genes and subtypes in ulcerative colitis based on machine learning. |
| title_sort | identification of o glycosylation related genes and subtypes in ulcerative colitis based on machine learning |
| url | https://doi.org/10.1371/journal.pone.0311495 |
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