Anti-apoptotic genes and non-coding RNAs are potential outcome predictors for ulcerative colitis

Area of Science:

• Gastroenterology
• Molecular Biology
• Genomics

Background:

• Predicting remission duration and relapse in ulcerative colitis (UC) is challenging due to a lack of reliable clinical, immunologic, genetic, and laboratory markers.
• Current guidelines lack clear recommendations for therapy withdrawal in UC patients in remission.

Purpose of the Study:

• To investigate if transcriptional analysis combined with Cox survival analysis can identify molecular markers specific for remission duration and outcome in UC.
• To explore potential biomarkers for stratifying UC patients for personalized treatment regimens.

Main Methods:

• Whole-transcriptome RNA sequencing (RNA-seq) was performed on mucosal biopsies from treatment-naïve UC patients in remission and healthy controls.
• Principal Component Analysis (PCA) and Cox proportional hazards regression analysis were applied to remission data.
• A validation set of remission samples was used to confirm the methods and results.

Main Results:

• Transcriptional analysis distinguished two distinct UC remission patient groups based on remission duration and relapse status.
• Both remission groups exhibited altered molecular states, even with quiescent microscopic disease activity.
• Patients with the longest remission duration and no relapse showed increased expression of anti-apoptotic factors (MTRNR2-like gene family) and non-coding RNAs.

Conclusions:

• Specific anti-apoptotic factors and non-coding RNAs may serve as predictive molecular markers for UC remission duration and outcome.
• These findings suggest potential for improved patient stratification in personalized medicine approaches for UC treatment.