Identification of potential biomarkers for ulcerative colitis based on multidimensional data analysis and investigation of the mechanisms of therapeutic effects
4 affiliations
- 1Jiangzhong Cancer Research Center, Jiangxi University of Chinese Medicine
- 2Department of Integrative Medicine and Anorectology, The First Affiliated Hospital of Nanchang University
- 3Department of Ophthalmology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University
- 4Xiangya Hospital, Central South University, Jiangxi (National Regional Center for Neurological Diseases)
Abstract
Objective Based on multidimensional data analysis, potential biomarkers for ulcerative colitis were screened, and the effects of curcumin chitosan microspheres on the expression of key targets in ulcerative colitis and their role in alleviating inflammation were observed. Methods Potential biomarkers related to UC progression were identified through differential expression analysis (using the limma package, with |log2FC| > 1 and corrected P < 0.05), weighted gene coexpression network analysis, and three machine learning algorithms (LASSO, random forest, SVM-RFE) on the basis of the datasets GSE107499 and GSE87473 in the GEO database. The core genes selected through this process were externally validated via the independent dataset GSE47908. A UC mouse model was constructed using 6–8-week-old C57BL/6 mice, and CCM was applied to the UC mice. Colonic tissues were collected for pathological examination and determination of inflammatory factor levels. Changes in the protein expression of the core genes were detected via immunohistochemistry. Results After rigorous screening and external validation, four core genes were finally identified: FCN3, FGR, HSD11B1 and PIM2. CCM treatment improved pathological damage and inflammatory factor levels in the colon tissue of UC mice, and the protein expression levels of FCN3, FGR, HSD11B1 and PIM2 in the colon tissue were inhibited. Conclusion Four potential targets of UC, namely, FCN3, FGR, HSD11B1, and PIM2, were identified. CCM may improve the degree of the UC inflammatory response by downregulating the expression of key genes.
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BibTeX
@article{yu2026identification,
title = {{Identification of potential biomarkers for ulcerative colitis based on multidimensional data analysis and investigation of the mechanisms of therapeutic effects}},
author = {Shujiao Yu and Qiaohong Zhu and Chengdong Yu and Jiaqi Liu and Ray P S Han and Yanru Xiang},
journal = {BMC Gastroenterology},
year = {2026},
month = jun,
doi = {10.1186/s12876-026-05005-y},
url = {https://doi.org/10.1186/s12876-026-05005-y},
note = {CC BY},
}
RIS
TY - JOUR
TI - Identification of potential biomarkers for ulcerative colitis based on multidimensional data analysis and investigation of the mechanisms of therapeutic effects
AU - Shujiao Yu
AU - Qiaohong Zhu
AU - Chengdong Yu
AU - Jiaqi Liu
AU - Ray P S Han
AU - Yanru Xiang
PY - 2026
DA - 2026/06/01
JO - BMC Gastroenterology
DO - 10.1186/s12876-026-05005-y
UR - https://doi.org/10.1186/s12876-026-05005-y
AB - Objective Based on multidimensional data analysis, potential biomarkers for ulcerative colitis were screened, and the effects of curcumin chitosan microspheres on the expression of key targets in ulcerative colitis and their role in alleviating inflammation were observed. Methods Potential biomarkers related to UC progression were identified through differential expression analysis (using the limma package, with |log2FC| > 1 and corrected P < 0.05), weighted gene coexpression network analysis, and three machine learning algorithms (LASSO, random forest, SVM-RFE) on the basis of the datasets GSE107499 and GSE87473 in the GEO database. The core genes selected through this process were externally validated via the independent dataset GSE47908. A UC mouse model was constructed using 6–8-week-old C57BL/6 mice, and CCM was applied to the UC mice. Colonic tissues were collected for pathological examination and determination of inflammatory factor levels. Changes in the protein expression of the core genes were detected via immunohistochemistry. Results After rigorous screening and external validation, four core genes were finally identified: FCN3, FGR, HSD11B1 and PIM2. CCM treatment improved pathological damage and inflammatory factor levels in the colon tissue of UC mice, and the protein expression levels of FCN3, FGR, HSD11B1 and PIM2 in the colon tissue were inhibited. Conclusion Four potential targets of UC, namely, FCN3, FGR, HSD11B1, and PIM2, were identified. CCM may improve the degree of the UC inflammatory response by downregulating the expression of key genes.
SN - 1471-230X
ER -