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Researchers developed a new molecular classification for ulcerative colitis (UC) patients, identifying two distinct profiles. One profile, UC1, shows poor response to common biological therapies, enabling better patient stratification.

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Area of Science:

  • Genomics and Molecular Biology
  • Gastroenterology and Immunology

Background:

  • Ulcerative colitis (UC) exhibits heterogeneous clinical presentations and treatment responses.
  • Current patient classification lacks criteria for personalized therapeutic strategies.
  • Transcriptomic data analysis in UC has not yielded clinically relevant patient subgroups.

Purpose of the Study:

  • To develop an unsupervised molecular classification for ulcerative colitis (UC) patients.
  • To identify patient subgroups based on transcriptomic profiles that correlate with therapy response.
  • To overcome limitations of classical clustering by integrating cross-species transcriptomic data.

Main Methods:

  • Unsupervised clustering of UC patient tissue transcriptomic data.
  • Comparison of human cross-sectional data with longitudinal murine DSS-induced colitis transcriptome profiles.
  • Analysis of gene expression patterns, focusing on inflammatory and recovery phases and neutrophil-related genes.

Main Results:

  • Classical clustering failed to identify clinically relevant UC patient profiles.
  • Gene expression peaks associated with colitis risk occur predominantly during inflammation.
  • Two distinct UC transcriptomic profiles (UC1 and UC2) were identified, differing in neutrophil gene activation.
  • The UC1 cluster showed an 87% unresponsiveness rate to two major biological therapies.

Conclusions:

  • Cross-species transcriptomic comparison enables novel patient stratification in UC.
  • The identified UC1 profile is associated with resistance to current biological therapies.
  • This molecular classification offers a pathway for tailoring ulcerative colitis treatments.