Identification of Biomarkers for Treatment Escalation of Ulcerative Colitis Based on Untargeted Metabolomics and Machine Learning Algorithms: A Prospective Cohort Study
The plasma metabolome represents a promising source of biomarkers for the prediction of treatment escalation in active UC. Metabolic biomarkers, combined with machine learning algorithms, could be efficient for risk assessment and early identification of UC treatment escalation.
Authors
- Muzhou Han
- Siying Zhu (ORCID: https://orcid.org/0000-0001-8499-3190)
- Haiyun Shi (ORCID: https://orcid.org/0000-0001-5793-1138)
- Hao Wang (ORCID: https://orcid.org/0000-0001-7475-0136)
- Peng Li (ORCID: https://orcid.org/0000-0003-3571-1550)
- Yongdong Wu (ORCID: https://orcid.org/0009-0006-4438-3527)
Institutions
- Capital Medical University (CN)
- Peking University (CN)
- National Clinical Research Center for Digestive Diseases (CN)
- Peking University Cancer Hospital (CN)
- Institut de Recherche en Santé Digestive (FR)
- Beijing Friendship Hospital (CN)
Publication Details
- Journal
- Clinical and Translational Gastroenterology
- Published
- 2025-10-23
- DOI
- https://doi.org/10.14309/ctg.0000000000000933
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00