Exploring shared pathogenic mechanisms and biomarkers in hepatic fibrosis and inflammatory bowel disease through bioinformatics and machine learning.

Journal: Frontiers in immunology

Published Date: May 12, 2025

Abstract

BACKGROUND: The coexistence of hepatic fibrosis (HF) and inflammatory bowel disease (IBD) represents a significant clinical concern due to their poorly characterized shared pathogenic mechanisms. Current limitations in identifying common biomarkers for comorbid cases impede early dual diagnosis and therapeutic interventions.

Authors

Shangkun Li

Department of Pediatric Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450000, China.
Haoyu Li
Mingran Qi

Department of Pathogen Biology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin, China.

Keywords

Biomarkers Computational Biology Gene Expression Profiling Gene Regulatory Networks Humans Inflammatory Bowel Diseases Liver Cirrhosis Machine Learning Matrix Metalloproteinase 2 Protein Interaction Maps Transcriptome

External Resources

View on PubMed Access via DOI PubMed (40421012)

Exploring shared pathogenic mechanisms and biomarkers in hepatic fibrosis and inflammatory bowel disease through bioinformatics and machine learning.

Abstract

Authors

Keywords

External Resources

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