Related Experiment Video
Updated: May 8, 2025
Human Circadian Phenotyping and Diurnal Performance Testing in the Real World
Published on: April 7, 2020
Identification of circadian rhythm-related biomarkers and development of diagnostic models for Crohn's disease using
Zhijing Zhao1,2, Xia Chen1, Qian Xiang1
1Department of Gastroenterolgy, Sixth People's Hospital of Chengdu, Chengdu, China.
Abstract:
The global rise in Crohn's Disease (CD) incidence has intensified diagnostic challenges. This study identified circadian rhythm-related biomarkers for CD using datasets from the GEO database. Differentially expressed genes underwent Weighted Gene Co-Expression Network Analysis, with 49 hub genes intersected from GeneCards data. Diagnostic models were constructed using machine learning algorithms, and biologic therapy efficacy was predicted with advanced regression techniques. Single-cell sequencing showed high gene expression in stem cells, immune, and endothelial cells, with validation confirming significant differences between CD patients and controls. These findings suggest circadian rhythm-related genes as promising diagnostic biomarkers for CD.
