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Multi-factor mediated functional modules identify novel classification of ulcerative colitis and functional gene

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  • 1Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Inflammatory Bowel Disease Research Center, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, 160# Pu Jian Ave, Shanghai, 200127, China.

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This study identifies key genes and molecular networks involved in ulcerative colitis (UC). Findings reveal four distinct UC subtypes, offering potential biomarkers for improved disease classification and management.

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Area of Science:

  • Genomics and Bioinformatics
  • Molecular Biology
  • Gastroenterology

Background:

  • Ulcerative colitis (UC) is a chronic, inflammatory bowel disease characterized by significant individual variability.
  • Understanding the complex genetic and molecular underpinnings of UC is crucial for effective classification and treatment.
  • Previous research has focused on identifying individual genes, but a multifactorial network approach is needed.

Purpose of the Study:

  • To explore multifactor-mediated functional modules associated with ulcerative colitis (UC) classification across the whole genome.
  • To identify potential biomarkers for classifying UC subtypes.
  • To construct comprehensive multifactor networks for UC.

Main Methods:

  • Utilized GEO database for identifying differentially expressed genes (DEGs) in UC patients versus healthy controls.
  • Integrated OMIM and STRING databases to acquire additional UC-related genes, resulting in 914 identified genes.
  • Performed weighted co-expression network analysis (WGCNA) to identify disease-related modules and hub genes.
  • Predicted interactions between microRNAs, long noncoding RNAs, transcription factors, and hub genes to build multifactor networks.
  • Employed consensus clustering to stratify UC samples into subtypes.

Main Results:

  • Identified 914 UC-related genes, including 60 DEGs from the GEO dataset.
  • WGCNA revealed four co-expression modules, with three significantly associated with UC.
  • Constructed multifactor networks integrating various molecular players.
  • Consensus clustering identified four distinct subtypes of ulcerative colitis.
  • Six hub genes were pinpointed as potential biomarkers for UC classification.

Conclusions:

  • Ulcerative colitis exhibits significant heterogeneity, classifiable into four distinct subtypes based on molecular profiles.
  • The identified hub genes serve as promising biomarkers for stratifying UC patients.
  • This multifactor network analysis provides novel insights into UC pathogenesis and offers a foundation for improved disease classification.