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Related Experiment Video

Updated: May 23, 2025

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A two-transcript classifier model for assessing disease activity in patients with ulcerative colitis: A discovery and

Huipeng Zhang1, Nannan Xu2, Gang Huang3

  • 1Department of Gastroenterology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.

Digestive and Liver Disease : Official Journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
|March 11, 2025
PubMed
Summary

Two genes, TGF-β1 and CD177, effectively classify ulcerative colitis (UC) disease activity. Measuring their transcript levels offers a reliable method for monitoring UC patients and predicting treatment response.

Keywords:
BiomarkersDisease activityTGF-β1 and CD177Ulcerative colitis

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Area of Science:

  • Gastroenterology
  • Molecular Biology
  • Biomarker Discovery

Background:

  • Ulcerative colitis (UC) is a chronic inflammatory bowel disease.
  • Accurate assessment of UC disease activity is crucial for effective management.
  • Current methods for assessing UC activity can be invasive or subjective.

Purpose of the Study:

  • To develop and validate gene expression-based classifier models for assessing UC disease activity.
  • To identify reliable gene expression biomarkers for UC.

Main Methods:

  • Candidate genes (TGF-β1, CEACAM1, CD177) were screened for differential expression in UC patients.
  • A logistic regression model was built using TGF-β1 and CD177 expression levels in a discovery cohort.
  • The model's predictive performance was validated in an independent cohort.

Main Results:

  • Three candidate genes showed differential association with UC disease activity.
  • A two-transcript classifier model using TGF-β1 and CD177 achieved high accuracy (AUC 0.938) in distinguishing active UC from remission.
  • The model also effectively differentiated between disease severity levels (AUC 0.919).

Conclusions:

  • TGF-β1 and CD177 transcript levels are robust classifiers for UC disease activity.
  • RT-PCR measurement of these transcripts provides an effective method for monitoring UC patients.
  • This approach aids in predicting treatment effectiveness over time.