Predicting novel biomarkers for early diagnosis and dynamic severity monitoring of human ulcerative colitis.

ABSTRACT:

Background

Ulcerative colitis is an emerging global health concern that poses a significant threat to human health and can progress to colorectal cancer if not diagnosed and treated promptly. Currently, the biomarkers used clinically for diagnosis and dynamic severity monitoring lack disease specificity.

Methods

Mouse models induced with 2%, 2.5%, and 3% DSS were utilized to simulate human UC with varying severities of inflammation. Transcriptome sequencing technology was employed to identify differentially expressed genes (DEGs) between the control group and each treatment group. Functional enrichment analysis of the KEGG database was performed for shared DEGs among the three treatment groups. DEGs that were significantly and strongly correlated with DSS concentrations were

SUBMITTER: Chen Y 

PROVIDER: S-EPMC11321978 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature