Screening and experimental study of potential biomarkers for ulcerative colitis based on weighted gene co-expression network analysis and machine learning
- Zepeng Chen 1,2, Xingchen Wang 1,2, Changfang Xiao 1, Yongqing Cao 3
- Zepeng Chen 1,2, Xingchen Wang 1,2, Changfang Xiao 1
- 1Department of Anorectal Surgery, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China.
- 2Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
- 3Department of Anorectal Surgery, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China. caoyq2133@163.com.
- 0Department of Anorectal Surgery, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China.
Related Experiment Videos
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.Poly(ADP-ribose) polymerase family member 8 (PARP8) is identified as a potential biomarker for ulcerative colitis (UC). This finding, derived from integrated bioinformatics and machine learning, suggests PARP8 plays a role in UC pathogenesis through immune pathways.
Area Of Science
- Immunology
- Genomics
- Bioinformatics
Background
- Ulcerative colitis (UC) is a chronic inflammatory bowel disease with unclear pathogenesis.
- It affects the intestinal mucosa and submucosa, causing continuous inflammation.
Purpose Of The Study
- To identify novel ulcerative colitis (UC) biomarkers.
- Integrate weighted gene co-expression network analysis (WGCNA) with machine learning for biomarker discovery.
- Validate potential biomarkers in an experimental UC mouse model.
Main Methods
- Systematic querying of the Gene Expression Omnibus database (GSE87466 dataset).
- Identification of differentially expressed genes (DEGs) and enrichment analyses.
- Application of WGCNA, LASSO, and SVM-RFE for biomarker screening.
- Validation through in vivo animal experiments.
Main Results
- 1,097 DEGs were identified; WGCNA highlighted a turquoise module strongly associated with UC.
- Poly(ADP-ribose) polymerase family member 8 (PARP8) was identified as a key biomarker by LASSO and SVM-RFE.
- PARP8 expression correlated with increased neutrophils, M1 macrophages, and activated CD4+ T cells in UC patients.
- Elevated PARP8 expression was confirmed in a mouse model of UC.
Conclusions
- PARP8 may contribute to ulcerative colitis (UC) pathogenesis via immune-related pathways.
- PARP8 shows promise as a diagnostic and predictive biomarker for UC.
- Further research into PARP8's role in immune dysregulation in UC is warranted.
Related Experiment Videos
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.

